[ { "path": "README.md", "content": "# ncnn_Android_face\nFace detect and segmentation, facemesh by ncnn \n\n## model support: \n1.scrfd \n2.yolov5-face \n3.yolov7-face \n\n## A new mediapipe-blazeface demo in this place [new demo](https://github.com/FeiGeChuanShu/ncnn_Android_blazeface) \n![image](https://github.com/FeiGeChuanShu/ncnn_Android_face/blob/main/yolov7-tiny-face.png)![image](https://github.com/FeiGeChuanShu/ncnn_Android_face/blob/main/result.gif)![image](https://github.com/FeiGeChuanShu/ncnn_Android_face/blob/main/facemesh.gif)![image](https://github.com/FeiGeChuanShu/ncnn_Android_face/blob/main/yolov5-face.gif) \n\n## Reference: \nhttps://github.com/nihui/ncnn-android-scrfd \nhttps://github.com/deepcam-cn/yolov5-face \nhttps://github.com/Tencent/ncnn \nhttps://github.com/thepowerfuldeez/facemesh.pytorch \nhttps://github.com/derronqi/yolov7-face \n" }, { "path": "ncnn-android-scrfd-master/README.md", "content": "# ncnn-android-scrfd\n\nThe SCRFD face detection\n\nThis is a sample ncnn android project, it depends on ncnn library and opencv\n\nhttps://github.com/Tencent/ncnn\n\nhttps://github.com/nihui/opencv-mobile\n\n## android apk file download\nhttps://github.com/nihui/ncnn-android-scrfd/releases/download/v1/com.tencent.scrfdncnn-release.apk\n\n## how to build and run\n### step1\nhttps://github.com/Tencent/ncnn/releases\n\n* Download ncnn-YYYYMMDD-android-vulkan.zip or build ncnn for android yourself\n* Extract ncnn-YYYYMMDD-android-vulkan.zip into **app/src/main/jni** and change the **ncnn_DIR** path to yours in **app/src/main/jni/CMakeLists.txt**\n\n### step2\nhttps://github.com/nihui/opencv-mobile\n\n* Download opencv-mobile-XYZ-android.zip\n* Extract opencv-mobile-XYZ-android.zip into **app/src/main/jni** and change the **OpenCV_DIR** path to yours in **app/src/main/jni/CMakeLists.txt**\n\n### step3\n* Open this project with Android Studio, build it and enjoy!\n\n## some notes\n* Android ndk camera is used for best efficiency\n* Crash may happen on very old devices for lacking HAL3 camera interface\n* All models are manually modified to accept dynamic input shape\n* Most small models run slower on GPU than on CPU, this is common\n* FPS may be lower in dark environment because of longer camera exposure time\n\n## screenshot\n![](screenshot.jpg)\n\n" }, { "path": "ncnn-android-scrfd-master/app/build.gradle", "content": "apply plugin: 'com.android.application'\n\nandroid {\n compileSdkVersion 24\n buildToolsVersion \"29.0.2\"\n\n defaultConfig {\n applicationId \"com.tencent.scrfdncnn\"\n archivesBaseName = \"$applicationId\"\n\n minSdkVersion 24\n }\n\n externalNativeBuild {\n cmake {\n version \"3.10.2\"\n path file('src/main/jni/CMakeLists.txt')\n }\n }\n\n dependencies {\n implementation 'com.android.support:support-v4:24.0.0'\n }\n}\n" }, { "path": "ncnn-android-scrfd-master/app/src/main/AndroidManifest.xml", "content": "\n\n \n \n\n \n \n \n \n \n \n \n \n \n" }, { "path": "ncnn-android-scrfd-master/app/src/main/assets/facemesh-op.param", "content": "7767517\n123 144\nInput input.1 0 1 input.1\nMemoryData 200 0 1 200 0=1\nMemoryData 264 0 1 264 0=1\nMemoryData 328 0 1 328 0=1\nPadding Pad_13 1 1 input.1 136 0=1 1=0 2=1 3=0 4=2 5=0.000000e+00 7=0 8=0\nConvolution Conv_17 1 1 136 140 0=16 1=3 11=3 2=1 12=1 3=2 13=2 4=0 14=0 15=0 16=0 5=1 6=432\nPReLU PRelu_18 1 1 140 142 0=16\nSplit splitncnn_0 1 2 142 142_splitncnn_0 142_splitncnn_1\nConvolutionDepthWise Conv_19 1 1 142_splitncnn_1 143 0=16 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=144 7=16\nConvolution Conv_20 1 1 143 144 0=16 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=256\nBinaryOp Add_21 2 1 144 142_splitncnn_0 145 0=0\nPReLU PRelu_22 1 1 145 147 0=16\nSplit splitncnn_1 1 2 147 147_splitncnn_0 147_splitncnn_1\nConvolutionDepthWise Conv_23 1 1 147_splitncnn_1 148 0=16 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=144 7=16\nConvolution Conv_24 1 1 148 149 0=16 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=256\nBinaryOp Add_25 2 1 149 147_splitncnn_0 150 0=0\nPReLU PRelu_26 1 1 150 152 0=16\nSplit splitncnn_2 1 2 152 152_splitncnn_0 152_splitncnn_1\nPooling MaxPool_42 1 1 152_splitncnn_1 177 0=0 1=2 11=2 2=2 12=2 3=0 13=0 14=0 15=0 5=1\nPadding Pad_57 2 1 177 200 201 0=0 1=0 2=0 3=0 4=0 5=0.000000e+00 7=0 8=16\nConvolutionDepthWise Conv_58 1 1 152_splitncnn_0 202 0=16 1=3 11=3 2=1 12=1 3=2 13=2 4=0 14=0 15=2 16=2 5=1 6=144 7=16\nConvolution Conv_59 1 1 202 203 0=32 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=512\nBinaryOp Add_60 2 1 203 201 204 0=0\nPReLU PRelu_61 1 1 204 206 0=32\nSplit splitncnn_3 1 2 206 206_splitncnn_0 206_splitncnn_1\nConvolutionDepthWise Conv_62 1 1 206_splitncnn_1 207 0=32 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=288 7=32\nConvolution Conv_63 1 1 207 208 0=32 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=1024\nBinaryOp Add_64 2 1 208 206_splitncnn_0 209 0=0\nPReLU PRelu_65 1 1 209 211 0=32\nSplit splitncnn_4 1 2 211 211_splitncnn_0 211_splitncnn_1\nConvolutionDepthWise Conv_66 1 1 211_splitncnn_1 212 0=32 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=288 7=32\nConvolution Conv_67 1 1 212 213 0=32 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=1024\nBinaryOp Add_68 2 1 213 211_splitncnn_0 214 0=0\nPReLU PRelu_69 1 1 214 216 0=32\nSplit splitncnn_5 1 2 216 216_splitncnn_0 216_splitncnn_1\nPooling MaxPool_85 1 1 216_splitncnn_1 241 0=0 1=2 11=2 2=2 12=2 3=0 13=0 14=0 15=0 5=1\nPadding Pad_100 2 1 241 264 265 0=0 1=0 2=0 3=0 4=0 5=0.000000e+00 7=0 8=32\nConvolutionDepthWise Conv_101 1 1 216_splitncnn_0 266 0=32 1=3 11=3 2=1 12=1 3=2 13=2 4=0 14=0 15=2 16=2 5=1 6=288 7=32\nConvolution Conv_102 1 1 266 267 0=64 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=2048\nBinaryOp Add_103 2 1 267 265 268 0=0\nPReLU PRelu_104 1 1 268 270 0=64\nSplit splitncnn_6 1 2 270 270_splitncnn_0 270_splitncnn_1\nConvolutionDepthWise Conv_105 1 1 270_splitncnn_1 271 0=64 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=576 7=64\nConvolution Conv_106 1 1 271 272 0=64 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=4096\nBinaryOp Add_107 2 1 272 270_splitncnn_0 273 0=0\nPReLU PRelu_108 1 1 273 275 0=64\nSplit splitncnn_7 1 2 275 275_splitncnn_0 275_splitncnn_1\nConvolutionDepthWise Conv_109 1 1 275_splitncnn_1 276 0=64 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=576 7=64\nConvolution Conv_110 1 1 276 277 0=64 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=4096\nBinaryOp Add_111 2 1 277 275_splitncnn_0 278 0=0\nPReLU PRelu_112 1 1 278 280 0=64\nSplit splitncnn_8 1 2 280 280_splitncnn_0 280_splitncnn_1\nPooling MaxPool_128 1 1 280_splitncnn_1 305 0=0 1=2 11=2 2=2 12=2 3=0 13=0 14=0 15=0 5=1\nPadding Pad_143 2 1 305 328 329 0=0 1=0 2=0 3=0 4=0 5=0.000000e+00 7=0 8=64\nConvolutionDepthWise Conv_144 1 1 280_splitncnn_0 330 0=64 1=3 11=3 2=1 12=1 3=2 13=2 4=0 14=0 15=2 16=2 5=1 6=576 7=64\nConvolution Conv_145 1 1 330 331 0=128 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=8192\nBinaryOp Add_146 2 1 331 329 332 0=0\nPReLU PRelu_147 1 1 332 334 0=128\nSplit splitncnn_9 1 2 334 334_splitncnn_0 334_splitncnn_1\nConvolutionDepthWise Conv_148 1 1 334_splitncnn_1 335 0=128 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=1152 7=128\nConvolution Conv_149 1 1 335 336 0=128 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=16384\nBinaryOp Add_150 2 1 336 334_splitncnn_0 337 0=0\nPReLU PRelu_151 1 1 337 339 0=128\nSplit splitncnn_10 1 2 339 339_splitncnn_0 339_splitncnn_1\nConvolutionDepthWise Conv_152 1 1 339_splitncnn_1 340 0=128 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=1152 7=128\nConvolution Conv_153 1 1 340 341 0=128 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=16384\nBinaryOp Add_154 2 1 341 339_splitncnn_0 342 0=0\nPReLU PRelu_155 1 1 342 344 0=128\nSplit splitncnn_11 1 2 344 344_splitncnn_0 344_splitncnn_1\nPooling MaxPool_171 1 1 344_splitncnn_1 369 0=0 1=2 11=2 2=2 12=2 3=0 13=0 14=0 15=0 5=1\nConvolutionDepthWise Conv_172 1 1 344_splitncnn_0 370 0=128 1=3 11=3 2=1 12=1 3=2 13=2 4=0 14=0 15=2 16=2 5=1 6=1152 7=128\nConvolution Conv_173 1 1 370 371 0=128 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=16384\nBinaryOp Add_174 2 1 371 369 372 0=0\nPReLU PRelu_175 1 1 372 374 0=128\nSplit splitncnn_12 1 2 374 374_splitncnn_0 374_splitncnn_1\nConvolutionDepthWise Conv_176 1 1 374_splitncnn_1 375 0=128 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=1152 7=128\nConvolution Conv_177 1 1 375 376 0=128 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=16384\nBinaryOp Add_178 2 1 376 374_splitncnn_0 377 0=0\nPReLU PRelu_179 1 1 377 379 0=128\nSplit splitncnn_13 1 2 379 379_splitncnn_0 379_splitncnn_1\nConvolutionDepthWise Conv_180 1 1 379_splitncnn_1 380 0=128 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=1152 7=128\nConvolution Conv_181 1 1 380 381 0=128 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=16384\nBinaryOp Add_182 2 1 381 379_splitncnn_0 382 0=0\nPReLU PRelu_183 1 1 382 384 0=128\nSplit splitncnn_14 1 4 384 384_splitncnn_0 384_splitncnn_1 384_splitncnn_2 384_splitncnn_3\nPooling MaxPool_199 1 1 384_splitncnn_3 409 0=0 1=2 11=2 2=2 12=2 3=0 13=0 14=0 15=0 5=1\nConvolutionDepthWise Conv_200 1 1 384_splitncnn_2 410 0=128 1=3 11=3 2=1 12=1 3=2 13=2 4=0 14=0 15=2 16=2 5=1 6=1152 7=128\nConvolution Conv_201 1 1 410 411 0=128 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=16384\nBinaryOp Add_202 2 1 411 409 412 0=0\nPReLU PRelu_203 1 1 412 414 0=128\nConvolution Conv_204 1 1 414 415 0=32 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=4096\nPReLU PRelu_205 1 1 415 417 0=32\nSplit splitncnn_15 1 2 417 417_splitncnn_0 417_splitncnn_1\nConvolutionDepthWise Conv_206 1 1 417_splitncnn_1 418 0=32 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=288 7=32\nConvolution Conv_207 1 1 418 419 0=32 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=1024\nBinaryOp Add_208 2 1 419 417_splitncnn_0 420 0=0\nPReLU PRelu_209 1 1 420 422 0=32\nConvolution Conv_210 1 1 422 423 0=1 1=3 11=3 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=288\nReshape Reshape_213 1 1 423 428 0=-1\nPooling MaxPool_229 1 1 384_splitncnn_1 453 0=0 1=2 11=2 2=2 12=2 3=0 13=0 14=0 15=0 5=1\nConvolutionDepthWise Conv_230 1 1 384_splitncnn_0 454 0=128 1=3 11=3 2=1 12=1 3=2 13=2 4=0 14=0 15=2 16=2 5=1 6=1152 7=128\nConvolution Conv_231 1 1 454 455 0=128 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=16384\nBinaryOp Add_232 2 1 455 453 456 0=0\nPReLU PRelu_233 1 1 456 458 0=128\nSplit splitncnn_16 1 2 458 458_splitncnn_0 458_splitncnn_1\nConvolutionDepthWise Conv_234 1 1 458_splitncnn_1 459 0=128 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=1152 7=128\nConvolution Conv_235 1 1 459 460 0=128 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=16384\nBinaryOp Add_236 2 1 460 458_splitncnn_0 461 0=0\nPReLU PRelu_237 1 1 461 463 0=128\nSplit splitncnn_17 1 2 463 463_splitncnn_0 463_splitncnn_1\nConvolutionDepthWise Conv_238 1 1 463_splitncnn_1 464 0=128 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=1152 7=128\nConvolution Conv_239 1 1 464 465 0=128 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=16384\nBinaryOp Add_240 2 1 465 463_splitncnn_0 466 0=0\nPReLU PRelu_241 1 1 466 468 0=128\nConvolution Conv_242 1 1 468 469 0=32 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=4096\nPReLU PRelu_243 1 1 469 471 0=32\nSplit splitncnn_18 1 2 471 471_splitncnn_0 471_splitncnn_1\nConvolutionDepthWise Conv_244 1 1 471_splitncnn_1 472 0=32 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=288 7=32\nConvolution Conv_245 1 1 472 473 0=32 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=1024\nBinaryOp Add_246 2 1 473 471_splitncnn_0 474 0=0\nPReLU PRelu_247 1 1 474 476 0=32\nConvolution Conv_248 1 1 476 477 0=1404 1=3 11=3 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=404352\nReshape Reshape_251 1 1 477 482 0=-1\n" }, { "path": "ncnn-android-scrfd-master/app/src/main/assets/facemesh-op2.param", "content": "7767517\n166 206\nInput input 0 1 input\nConvolution 550 1 1 input 552 0=16 1=3 3=2 4=1 5=1 6=432 9=1\nSplit splitncnn_0 1 2 552 552_splitncnn_0 552_splitncnn_1\nConvolution 553 1 1 552_splitncnn_1 555 0=8 1=1 5=1 6=128 9=1\nSplit splitncnn_1 1 2 555 555_splitncnn_0 555_splitncnn_1\nConvolutionDepthWise 556 1 1 555_splitncnn_1 558 0=8 1=3 4=1 5=1 6=72 7=8 9=1\nConcat 559 2 1 555_splitncnn_0 558 559\nConvolution 560 1 1 559 561 0=8 1=1 5=1 6=128\nSplit splitncnn_2 1 2 561 561_splitncnn_0 561_splitncnn_1\nConvolutionDepthWise 562 1 1 561_splitncnn_1 563 0=8 1=3 4=1 5=1 6=72 7=8\nConcat 564 2 1 561_splitncnn_0 563 564\nBinaryOp 565 2 1 564 552_splitncnn_0 565\nSplit splitncnn_3 1 2 565 565_splitncnn_0 565_splitncnn_1\nConvolution 566 1 1 565_splitncnn_1 568 0=24 1=1 5=1 6=384 9=1\nSplit splitncnn_4 1 2 568 568_splitncnn_0 568_splitncnn_1\nConvolutionDepthWise 569 1 1 568_splitncnn_1 571 0=24 1=3 4=1 5=1 6=216 7=24 9=1\nConcat 572 2 1 568_splitncnn_0 571 572\nConvolutionDepthWise 573 1 1 572 574 0=48 1=3 3=2 4=1 5=1 6=432 7=48\nConvolution 575 1 1 574 576 0=12 1=1 5=1 6=576\nSplit splitncnn_5 1 2 576 576_splitncnn_0 576_splitncnn_1\nConvolutionDepthWise 577 1 1 576_splitncnn_1 578 0=12 1=3 4=1 5=1 6=108 7=12\nConcat 579 2 1 576_splitncnn_0 578 579\nConvolutionDepthWise 580 1 1 565_splitncnn_0 581 0=16 1=3 3=2 4=1 5=1 6=144 7=16\nConvolution 582 1 1 581 583 0=24 1=1 5=1 6=384\nBinaryOp 584 2 1 579 583 584\nSplit splitncnn_6 1 2 584 584_splitncnn_0 584_splitncnn_1\nConvolution 585 1 1 584_splitncnn_1 587 0=36 1=1 5=1 6=864 9=1\nSplit splitncnn_7 1 2 587 587_splitncnn_0 587_splitncnn_1\nConvolutionDepthWise 588 1 1 587_splitncnn_1 590 0=36 1=3 4=1 5=1 6=324 7=36 9=1\nConcat 591 2 1 587_splitncnn_0 590 591\nConvolution 592 1 1 591 593 0=12 1=1 5=1 6=864\nSplit splitncnn_8 1 2 593 593_splitncnn_0 593_splitncnn_1\nConvolutionDepthWise 594 1 1 593_splitncnn_1 595 0=12 1=3 4=1 5=1 6=108 7=12\nConcat 596 2 1 593_splitncnn_0 595 596\nBinaryOp 597 2 1 596 584_splitncnn_0 597\nSplit splitncnn_9 1 2 597 597_splitncnn_0 597_splitncnn_1\nConvolution 598 1 1 597_splitncnn_1 600 0=36 1=1 5=1 6=864 9=1\nSplit splitncnn_10 1 2 600 600_splitncnn_0 600_splitncnn_1\nConvolutionDepthWise 601 1 1 600_splitncnn_1 603 0=36 1=3 4=1 5=1 6=324 7=36 9=1\nConcat 604 2 1 600_splitncnn_0 603 604\nConvolutionDepthWise 605 1 1 604 606 0=72 1=5 3=2 4=2 5=1 6=1800 7=72\nSplit splitncnn_11 1 2 606 606_splitncnn_0 606_splitncnn_1\nPooling 607 1 1 606_splitncnn_1 607 0=1 4=1\nInnerProduct 608 1 1 607 609 0=20 1=1 2=1440 9=1\nInnerProduct 610 1 1 609 610 0=72 1=1 2=1440\nHardSigmoid 615 1 1 610 615 0=1.666667e-01\nBinaryOp 616 2 1 606_splitncnn_0 615 616 0=2\nConvolution 617 1 1 616 618 0=20 1=1 5=1 6=1440\nSplit splitncnn_12 1 2 618 618_splitncnn_0 618_splitncnn_1\nConvolutionDepthWise 619 1 1 618_splitncnn_1 620 0=20 1=3 4=1 5=1 6=180 7=20\nConcat 621 2 1 618_splitncnn_0 620 621\nConvolutionDepthWise 622 1 1 597_splitncnn_0 623 0=24 1=5 3=2 4=2 5=1 6=600 7=24\nConvolution 624 1 1 623 625 0=40 1=1 5=1 6=960\nBinaryOp 626 2 1 621 625 626\nSplit splitncnn_13 1 2 626 626_splitncnn_0 626_splitncnn_1\nConvolution 627 1 1 626_splitncnn_1 629 0=60 1=1 5=1 6=2400 9=1\nSplit splitncnn_14 1 2 629 629_splitncnn_0 629_splitncnn_1\nConvolutionDepthWise 630 1 1 629_splitncnn_1 632 0=60 1=3 4=1 5=1 6=540 7=60 9=1\nConcat 633 2 1 629_splitncnn_0 632 633\nSplit splitncnn_15 1 2 633 633_splitncnn_0 633_splitncnn_1\nPooling 634 1 1 633_splitncnn_1 634 0=1 4=1\nInnerProduct 635 1 1 634 636 0=32 1=1 2=3840 9=1\nInnerProduct 637 1 1 636 637 0=120 1=1 2=3840\nHardSigmoid 642 1 1 637 642 0=1.666667e-01\nBinaryOp 643 2 1 633_splitncnn_0 642 643 0=2\nConvolution 644 1 1 643 645 0=20 1=1 5=1 6=2400\nSplit splitncnn_16 1 2 645 645_splitncnn_0 645_splitncnn_1\nConvolutionDepthWise 646 1 1 645_splitncnn_1 647 0=20 1=3 4=1 5=1 6=180 7=20\nConcat 648 2 1 645_splitncnn_0 647 648\nBinaryOp 649 2 1 648 626_splitncnn_0 649\nSplit splitncnn_17 1 2 649 649_splitncnn_0 649_splitncnn_1\nConvolution 650 1 1 649_splitncnn_1 652 0=120 1=1 5=1 6=4800 9=1\nSplit splitncnn_18 1 2 652 652_splitncnn_0 652_splitncnn_1\nConvolutionDepthWise 653 1 1 652_splitncnn_1 655 0=120 1=3 4=1 5=1 6=1080 7=120 9=1\nConcat 656 2 1 652_splitncnn_0 655 656\nConvolutionDepthWise 657 1 1 656 658 0=240 1=3 3=2 4=1 5=1 6=2160 7=240\nConvolution 659 1 1 658 660 0=40 1=1 5=1 6=9600\nSplit splitncnn_19 1 2 660 660_splitncnn_0 660_splitncnn_1\nConvolutionDepthWise 661 1 1 660_splitncnn_1 662 0=40 1=3 4=1 5=1 6=360 7=40\nConcat 663 2 1 660_splitncnn_0 662 663\nConvolutionDepthWise 664 1 1 649_splitncnn_0 665 0=40 1=3 3=2 4=1 5=1 6=360 7=40\nConvolution 666 1 1 665 667 0=80 1=1 5=1 6=3200\nBinaryOp 668 2 1 663 667 668\nSplit splitncnn_20 1 2 668 668_splitncnn_0 668_splitncnn_1\nConvolution 669 1 1 668_splitncnn_1 671 0=100 1=1 5=1 6=8000 9=1\nSplit splitncnn_21 1 2 671 671_splitncnn_0 671_splitncnn_1\nConvolutionDepthWise 672 1 1 671_splitncnn_1 674 0=100 1=3 4=1 5=1 6=900 7=100 9=1\nConcat 675 2 1 671_splitncnn_0 674 675\nConvolution 676 1 1 675 677 0=40 1=1 5=1 6=8000\nSplit splitncnn_22 1 2 677 677_splitncnn_0 677_splitncnn_1\nConvolutionDepthWise 678 1 1 677_splitncnn_1 679 0=40 1=3 4=1 5=1 6=360 7=40\nConcat 680 2 1 677_splitncnn_0 679 680\nBinaryOp 681 2 1 680 668_splitncnn_0 681\nSplit splitncnn_23 1 2 681 681_splitncnn_0 681_splitncnn_1\nConvolution 682 1 1 681_splitncnn_1 684 0=92 1=1 5=1 6=7360 9=1\nSplit splitncnn_24 1 2 684 684_splitncnn_0 684_splitncnn_1\nConvolutionDepthWise 685 1 1 684_splitncnn_1 687 0=92 1=3 4=1 5=1 6=828 7=92 9=1\nConcat 688 2 1 684_splitncnn_0 687 688\nConvolution 689 1 1 688 690 0=40 1=1 5=1 6=7360\nSplit splitncnn_25 1 2 690 690_splitncnn_0 690_splitncnn_1\nConvolutionDepthWise 691 1 1 690_splitncnn_1 692 0=40 1=3 4=1 5=1 6=360 7=40\nConcat 693 2 1 690_splitncnn_0 692 693\nBinaryOp 694 2 1 693 681_splitncnn_0 694\nSplit splitncnn_26 1 2 694 694_splitncnn_0 694_splitncnn_1\nConvolution 695 1 1 694_splitncnn_1 697 0=92 1=1 5=1 6=7360 9=1\nSplit splitncnn_27 1 2 697 697_splitncnn_0 697_splitncnn_1\nConvolutionDepthWise 698 1 1 697_splitncnn_1 700 0=92 1=3 4=1 5=1 6=828 7=92 9=1\nConcat 701 2 1 697_splitncnn_0 700 701\nConvolution 702 1 1 701 703 0=40 1=1 5=1 6=7360\nSplit splitncnn_28 1 2 703 703_splitncnn_0 703_splitncnn_1\nConvolutionDepthWise 704 1 1 703_splitncnn_1 705 0=40 1=3 4=1 5=1 6=360 7=40\nConcat 706 2 1 703_splitncnn_0 705 706\nBinaryOp 707 2 1 706 694_splitncnn_0 707\nSplit splitncnn_29 1 2 707 707_splitncnn_0 707_splitncnn_1\nConvolution 708 1 1 707_splitncnn_1 710 0=240 1=1 5=1 6=19200 9=1\nSplit splitncnn_30 1 2 710 710_splitncnn_0 710_splitncnn_1\nConvolutionDepthWise 711 1 1 710_splitncnn_1 713 0=240 1=3 4=1 5=1 6=2160 7=240 9=1\nConcat 714 2 1 710_splitncnn_0 713 714\nSplit splitncnn_31 1 2 714 714_splitncnn_0 714_splitncnn_1\nPooling 715 1 1 714_splitncnn_1 715 0=1 4=1\nInnerProduct 716 1 1 715 717 0=120 1=1 2=57600 9=1\nInnerProduct 718 1 1 717 718 0=480 1=1 2=57600\nHardSigmoid 723 1 1 718 723 0=1.666667e-01\nBinaryOp 724 2 1 714_splitncnn_0 723 724 0=2\nConvolution 725 1 1 724 726 0=56 1=1 5=1 6=26880\nSplit splitncnn_32 1 2 726 726_splitncnn_0 726_splitncnn_1\nConvolutionDepthWise 727 1 1 726_splitncnn_1 728 0=56 1=3 4=1 5=1 6=504 7=56\nConcat 729 2 1 726_splitncnn_0 728 729\nConvolutionDepthWise 730 1 1 707_splitncnn_0 731 0=80 1=3 4=1 5=1 6=720 7=80\nConvolution 732 1 1 731 733 0=112 1=1 5=1 6=8960\nBinaryOp 734 2 1 729 733 734\nSplit splitncnn_33 1 2 734 734_splitncnn_0 734_splitncnn_1\nConvolution 735 1 1 734_splitncnn_1 737 0=336 1=1 5=1 6=37632 9=1\nSplit splitncnn_34 1 2 737 737_splitncnn_0 737_splitncnn_1\nConvolutionDepthWise 738 1 1 737_splitncnn_1 740 0=336 1=3 4=1 5=1 6=3024 7=336 9=1\nConcat 741 2 1 737_splitncnn_0 740 741\nSplit splitncnn_35 1 2 741 741_splitncnn_0 741_splitncnn_1\nPooling 742 1 1 741_splitncnn_1 742 0=1 4=1\nInnerProduct 743 1 1 742 744 0=168 1=1 2=112896 9=1\nInnerProduct 745 1 1 744 745 0=672 1=1 2=112896\nHardSigmoid 750 1 1 745 750 0=1.666667e-01\nBinaryOp 751 2 1 741_splitncnn_0 750 751 0=2\nConvolution 752 1 1 751 753 0=56 1=1 5=1 6=37632\nSplit splitncnn_36 1 2 753 753_splitncnn_0 753_splitncnn_1\nConvolutionDepthWise 754 1 1 753_splitncnn_1 755 0=56 1=3 4=1 5=1 6=504 7=56\nConcat 756 2 1 753_splitncnn_0 755 756\nBinaryOp 757 2 1 756 734_splitncnn_0 757\nSplit splitncnn_37 1 2 757 757_splitncnn_0 757_splitncnn_1\nPooling 758 1 1 757_splitncnn_1 758 0=1 4=1\nInnerProduct 759 1 1 758 761 0=28 1=1 2=3136 9=1\nInnerProduct 762 1 1 761 764 0=112 1=1 2=3136 9=4\nBinaryOp 765 2 1 757_splitncnn_0 764 765 0=2\nConvolution 766 1 1 765 768 0=224 1=1 5=1 6=25088 9=1\nConvolutionDepthWise 769 1 1 768 771 0=224 1=3 4=1 5=1 6=2016 7=224 9=1\nConvolution 772 1 1 771 773 0=32 1=1 5=1 6=7168\nSplit splitncnn_38 1 2 773 773_splitncnn_0 773_splitncnn_1\nPooling 775 1 1 773_splitncnn_1 775 0=1 1=14 2=14 5=1\nReshape 783 1 1 775 783 0=-1\nConvolution 784 1 1 773_splitncnn_0 786 0=64 1=3 3=2 4=1 5=1 6=18432 9=1\nSplit splitncnn_39 1 2 786 786_splitncnn_0 786_splitncnn_1\nPooling 788 1 1 786_splitncnn_1 788 0=1 1=7 2=7 5=1\nReshape 796 1 1 788 796 0=-1\nConvolution 797 1 1 786_splitncnn_0 798 0=256 1=7 5=1 6=802816 9=1\nReshape 806 1 1 798 806 0=-1\nConcat 807 3 1 783 796 806 807\nInnerProduct output 1 1 807 output 0=936 1=1 2=329472\n" }, { "path": "ncnn-android-scrfd-master/app/src/main/assets/faceseg-op.param", "content": "7767517\n161 189\nInput input.1 0 1 input\nConvolution Conv_14 1 1 input 363 0=32 1=3 3=2 4=1 5=1 6=864 9=1\nConvolution Conv_17 1 1 363 366 0=32 1=3 3=2 4=1 5=1 6=9216 9=1\nSplit splitncnn_0 1 2 366 366_splitncnn_0 366_splitncnn_1\nConvolution Conv_20 1 1 366_splitncnn_1 369 0=32 1=3 4=1 5=1 6=9216 9=1\nConvolution Conv_23 1 1 369 371 0=32 1=3 4=1 5=1 6=9216\nBinaryOp Add_25 2 1 371 366_splitncnn_0 372\nReLU Relu_26 1 1 372 373\nSplit splitncnn_1 1 2 373 373_splitncnn_0 373_splitncnn_1\nConvolution Conv_27 1 1 373_splitncnn_1 376 0=32 1=3 4=1 5=1 6=9216 9=1\nConvolution Conv_30 1 1 376 378 0=32 1=3 4=1 5=1 6=9216\nBinaryOp Add_32 2 1 378 373_splitncnn_0 379\nReLU Relu_33 1 1 379 380\nSplit splitncnn_2 1 2 380 380_splitncnn_0 380_splitncnn_1\nConvolution Conv_34 1 1 380_splitncnn_1 383 0=64 1=3 3=2 4=1 5=1 6=18432 9=1\nConvolution Conv_37 1 1 383 385 0=64 1=3 4=1 5=1 6=36864\nConvolution Conv_39 1 1 380_splitncnn_0 387 0=64 1=1 3=2 5=1 6=2048\nBinaryOp Add_41 2 1 385 387 388\nReLU Relu_42 1 1 388 389\nSplit splitncnn_3 1 2 389 389_splitncnn_0 389_splitncnn_1\nConvolution Conv_43 1 1 389_splitncnn_1 392 0=64 1=3 4=1 5=1 6=36864 9=1\nConvolution Conv_46 1 1 392 394 0=64 1=3 4=1 5=1 6=36864\nBinaryOp Add_48 2 1 394 389_splitncnn_0 395\nSplit splitncnn_4 1 2 395 395_splitncnn_0 395_splitncnn_1\nReLU Relu_49 1 1 395_splitncnn_1 396\nSplit splitncnn_5 1 2 396 396_splitncnn_0 396_splitncnn_1\nConvolution Conv_50 1 1 396_splitncnn_1 399 0=128 1=3 3=2 4=1 5=1 6=73728 9=1\nConvolution Conv_53 1 1 399 401 0=128 1=3 4=1 5=1 6=147456\nConvolution Conv_55 1 1 396_splitncnn_0 403 0=128 1=1 3=2 5=1 6=8192\nBinaryOp Add_57 2 1 401 403 404\nReLU Relu_58 1 1 404 405\nSplit splitncnn_6 1 2 405 405_splitncnn_0 405_splitncnn_1\nConvolution Conv_59 1 1 405_splitncnn_1 408 0=128 1=3 4=1 5=1 6=147456 9=1\nConvolution Conv_62 1 1 408 410 0=128 1=3 4=1 5=1 6=147456\nBinaryOp Add_64 2 1 410 405_splitncnn_0 411\nSplit splitncnn_7 1 2 411 411_splitncnn_0 411_splitncnn_1\nReLU Relu_65 1 1 395_splitncnn_0 412\nSplit splitncnn_8 1 2 412 412_splitncnn_0 412_splitncnn_1\nConvolution Conv_66 1 1 412_splitncnn_1 415 0=64 1=3 4=1 5=1 6=36864 9=1\nConvolution Conv_69 1 1 415 417 0=64 1=3 4=1 5=1 6=36864\nBinaryOp Add_71 2 1 417 412_splitncnn_0 418\nReLU Relu_72 1 1 418 419\nSplit splitncnn_9 1 2 419 419_splitncnn_0 419_splitncnn_1\nConvolution Conv_73 1 1 419_splitncnn_1 422 0=64 1=3 4=1 5=1 6=36864 9=1\nConvolution Conv_76 1 1 422 424 0=64 1=3 4=1 5=1 6=36864\nBinaryOp Add_78 2 1 424 419_splitncnn_0 425\nSplit splitncnn_10 1 2 425 425_splitncnn_0 425_splitncnn_1\nReLU Relu_79 1 1 425_splitncnn_1 426\nConvolution Conv_80 1 1 426 428 0=128 1=3 3=2 4=1 5=1 6=73728\nBinaryOp Add_82 2 1 411_splitncnn_1 428 429\nReLU Relu_83 1 1 411_splitncnn_0 430\nConvolution Conv_84 1 1 430 432 0=64 1=1 5=1 6=8192\nInterp Resize_98 1 1 432 445 0=2 3=32 4=32\nBinaryOp Add_99 2 1 425_splitncnn_0 445 446\nReLU Relu_100 1 1 429 447\nSplit splitncnn_11 1 2 447 447_splitncnn_0 447_splitncnn_1\nConvolution Conv_101 1 1 447_splitncnn_1 450 0=256 1=3 3=2 4=1 5=1 6=294912 9=1\nConvolution Conv_104 1 1 450 452 0=256 1=3 4=1 5=1 6=589824\nConvolution Conv_106 1 1 447_splitncnn_0 454 0=256 1=1 3=2 5=1 6=32768\nBinaryOp Add_108 2 1 452 454 455\nReLU Relu_109 1 1 455 456\nSplit splitncnn_12 1 2 456 456_splitncnn_0 456_splitncnn_1\nConvolution Conv_110 1 1 456_splitncnn_1 459 0=256 1=3 4=1 5=1 6=589824 9=1\nConvolution Conv_113 1 1 459 461 0=256 1=3 4=1 5=1 6=589824\nBinaryOp Add_115 2 1 461 456_splitncnn_0 462\nSplit splitncnn_13 1 2 462 462_splitncnn_0 462_splitncnn_1\nReLU Relu_116 1 1 446 463\nSplit splitncnn_14 1 2 463 463_splitncnn_0 463_splitncnn_1\nConvolution Conv_117 1 1 463_splitncnn_1 466 0=64 1=3 4=1 5=1 6=36864 9=1\nConvolution Conv_120 1 1 466 468 0=64 1=3 4=1 5=1 6=36864\nBinaryOp Add_122 2 1 468 463_splitncnn_0 469\nReLU Relu_123 1 1 469 470\nSplit splitncnn_15 1 2 470 470_splitncnn_0 470_splitncnn_1\nConvolution Conv_124 1 1 470_splitncnn_1 473 0=64 1=3 4=1 5=1 6=36864 9=1\nConvolution Conv_127 1 1 473 475 0=64 1=3 4=1 5=1 6=36864\nBinaryOp Add_129 2 1 475 470_splitncnn_0 476\nSplit splitncnn_16 1 2 476 476_splitncnn_0 476_splitncnn_1\nReLU Relu_130 1 1 476_splitncnn_1 477\nConvolution Conv_131 1 1 477 480 0=128 1=3 3=2 4=1 5=1 6=73728 9=1\nConvolution Conv_134 1 1 480 482 0=256 1=3 3=2 4=1 5=1 6=294912\nBinaryOp Add_136 2 1 462_splitncnn_1 482 483\nReLU Relu_137 1 1 462_splitncnn_0 484\nConvolution Conv_138 1 1 484 486 0=64 1=1 5=1 6=16384\nInterp Resize_152 1 1 486 499 0=2 3=32 4=32\nBinaryOp Add_153 2 1 476_splitncnn_0 499 500\nReLU Relu_154 1 1 500 501\nSplit splitncnn_17 1 2 501 501_splitncnn_0 501_splitncnn_1\nConvolution Conv_155 1 1 501_splitncnn_1 504 0=64 1=1 5=1 6=4096 9=1\nConvolution Conv_158 1 1 504 507 0=64 1=3 4=1 5=1 6=36864 9=1\nConvolution Conv_161 1 1 507 509 0=128 1=1 5=1 6=8192\nConvolution Conv_163 1 1 501_splitncnn_0 511 0=128 1=1 5=1 6=8192\nBinaryOp Add_165 2 1 509 511 512\nReLU Relu_166 1 1 483 513\nSplit splitncnn_18 1 2 513 513_splitncnn_0 513_splitncnn_1\nConvolution Conv_167 1 1 513_splitncnn_1 516 0=256 1=1 5=1 6=65536 9=1\nConvolution Conv_170 1 1 516 519 0=256 1=3 3=2 4=1 5=1 6=589824 9=1\nConvolution Conv_173 1 1 519 521 0=512 1=1 5=1 6=131072\nConvolution Conv_175 1 1 513_splitncnn_0 523 0=512 1=1 3=2 5=1 6=131072\nBinaryOp Add_177 2 1 521 523 524\nSplit splitncnn_19 1 6 524 524_splitncnn_0 524_splitncnn_1 524_splitncnn_2 524_splitncnn_3 524_splitncnn_4 524_splitncnn_5\nBatchNorm BatchNormalization_184 1 1 524_splitncnn_5 531 0=512\nReLU Relu_185 1 1 531 532\nConvolution Conv_186 1 1 532 533 0=128 1=1 6=65536\nSplit splitncnn_20 1 2 533 533_splitncnn_0 533_splitncnn_1\nPadding Pad_188 1 1 524_splitncnn_4 535 0=1 1=1 2=1 3=1\nPooling AveragePool_189 1 1 535 536 0=1 1=3 2=2 5=1\nBatchNorm BatchNormalization_190 1 1 536 537 0=512\nReLU Relu_191 1 1 537 538\nConvolution Conv_192 1 1 538 539 0=128 1=1 6=65536\nInterp Resize_205 1 1 539 552 0=2 3=4 4=4\nBinaryOp Add_206 2 1 552 533_splitncnn_1 553\nBatchNorm BatchNormalization_207 1 1 553 554 0=128\nReLU Relu_208 1 1 554 555\nConvolution Conv_209 1 1 555 556 0=128 1=3 4=1 6=147456\nSplit splitncnn_21 1 2 556 556_splitncnn_0 556_splitncnn_1\nPadding Pad_211 1 1 524_splitncnn_3 558 0=2 1=2 2=2 3=2\nPooling AveragePool_212 1 1 558 559 0=1 1=5 2=4 5=1\nBatchNorm BatchNormalization_213 1 1 559 560 0=512\nReLU Relu_214 1 1 560 561\nConvolution Conv_215 1 1 561 562 0=128 1=1 6=65536\nInterp Resize_228 1 1 562 575 0=2 3=4 4=4\nBinaryOp Add_229 2 1 575 556_splitncnn_1 576\nBatchNorm BatchNormalization_230 1 1 576 577 0=128\nReLU Relu_231 1 1 577 578\nConvolution Conv_232 1 1 578 579 0=128 1=3 4=1 6=147456\nSplit splitncnn_22 1 2 579 579_splitncnn_0 579_splitncnn_1\nPadding Pad_234 1 1 524_splitncnn_2 581 0=4 1=4 2=4 3=4\nPooling AveragePool_235 1 1 581 582 0=1 1=9 2=8 5=1\nBatchNorm BatchNormalization_236 1 1 582 583 0=512\nReLU Relu_237 1 1 583 584\nConvolution Conv_238 1 1 584 585 0=128 1=1 6=65536\nInterp Resize_251 1 1 585 598 0=2 3=4 4=4\nBinaryOp Add_252 2 1 598 579_splitncnn_1 599\nBatchNorm BatchNormalization_253 1 1 599 600 0=128\nReLU Relu_254 1 1 600 601\nConvolution Conv_255 1 1 601 602 0=128 1=3 4=1 6=147456\nSplit splitncnn_23 1 2 602 602_splitncnn_0 602_splitncnn_1\nPooling GlobalAveragePool_256 1 1 524_splitncnn_1 603 0=1 4=1\nBatchNorm BatchNormalization_257 1 1 603 604 0=512\nReLU Relu_258 1 1 604 605\nConvolution Conv_259 1 1 605 606 0=128 1=1 6=65536\nInterp Resize_272 1 1 606 619 0=2 3=4 4=4\nBinaryOp Add_273 2 1 619 602_splitncnn_1 620\nBatchNorm BatchNormalization_274 1 1 620 621 0=128\nReLU Relu_275 1 1 621 622\nConvolution Conv_276 1 1 622 623 0=128 1=3 4=1 6=147456\nConcat Concat_277 5 1 533_splitncnn_0 556_splitncnn_0 579_splitncnn_0 602_splitncnn_0 623 624\nBatchNorm BatchNormalization_278 1 1 624 625 0=640\nReLU Relu_279 1 1 625 626\nConvolution Conv_280 1 1 626 627 0=128 1=1 6=81920\nBatchNorm BatchNormalization_281 1 1 524_splitncnn_0 628 0=512\nReLU Relu_282 1 1 628 629\nConvolution Conv_283 1 1 629 630 0=128 1=1 6=65536\nBinaryOp Add_284 2 1 627 630 631\nInterp Resize_297 1 1 631 644 0=2 3=32 4=32\nBinaryOp Add_298 2 1 644 512 645\nBatchNorm BatchNormalization_299 1 1 645 646 0=128\nReLU Relu_300 1 1 646 647\nConvolution Conv_301 1 1 647 650 0=64 1=3 4=1 5=1 6=73728 9=1\nConvolution Conv_304 1 1 650 651 0=8 1=1 5=1 6=512\nInterp Resize_313 1 1 651 output 0=2 3=256 4=256\n" }, { "path": "ncnn-android-scrfd-master/app/src/main/assets/scrfd_1g-opt2.param", "content": "7767517\n99 108\nInput input.1 0 1 input.1\nConvolution Conv_0 1 1 input.1 193 0=32 1=3 3=2 4=1 5=1 6=864 9=1\nConvolutionDepthWise Conv_2 1 1 193 196 0=32 1=3 4=1 5=1 6=288 7=32 9=1\nConvolution Conv_4 1 1 196 199 0=48 1=1 5=1 6=1536 9=1\nConvolutionDepthWise Conv_6 1 1 199 202 0=48 1=3 3=2 4=1 5=1 6=432 7=48 9=1\nConvolution Conv_8 1 1 202 205 0=48 1=1 5=1 6=2304 9=1\nConvolutionDepthWise Conv_10 1 1 205 208 0=48 1=3 4=1 5=1 6=432 7=48 9=1\nConvolution Conv_12 1 1 208 211 0=48 1=1 5=1 6=2304 9=1\nConvolutionDepthWise Conv_14 1 1 211 214 0=48 1=3 4=1 5=1 6=432 7=48 9=1\nConvolution Conv_16 1 1 214 217 0=48 1=1 5=1 6=2304 9=1\nConvolutionDepthWise Conv_18 1 1 217 220 0=48 1=3 3=2 4=1 5=1 6=432 7=48 9=1\nConvolution Conv_20 1 1 220 223 0=160 1=1 5=1 6=7680 9=1\nConvolutionDepthWise Conv_22 1 1 223 226 0=160 1=3 4=1 5=1 6=1440 7=160 9=1\nConvolution Conv_24 1 1 226 229 0=160 1=1 5=1 6=25600 9=1\nSplit splitncnn_0 1 2 229 229_splitncnn_0 229_splitncnn_1\nConvolutionDepthWise Conv_26 1 1 229_splitncnn_1 232 0=160 1=3 3=2 4=1 5=1 6=1440 7=160 9=1\nConvolution Conv_28 1 1 232 235 0=216 1=1 5=1 6=34560 9=1\nSplit splitncnn_1 1 2 235 235_splitncnn_0 235_splitncnn_1\nConvolutionDepthWise Conv_30 1 1 235_splitncnn_1 238 0=216 1=3 3=2 4=1 5=1 6=1944 7=216 9=1\nConvolution Conv_32 1 1 238 241 0=312 1=1 5=1 6=67392 9=1\nConvolutionDepthWise Conv_34 1 1 241 244 0=312 1=3 4=1 5=1 6=2808 7=312 9=1\nConvolution Conv_36 1 1 244 247 0=312 1=1 5=1 6=97344 9=1\nConvolutionDepthWise Conv_38 1 1 247 250 0=312 1=3 4=1 5=1 6=2808 7=312 9=1\nConvolution Conv_40 1 1 250 253 0=312 1=1 5=1 6=97344 9=1\nConvolutionDepthWise Conv_42 1 1 253 256 0=312 1=3 4=1 5=1 6=2808 7=312 9=1\nConvolution Conv_44 1 1 256 259 0=312 1=1 5=1 6=97344 9=1\nConvolutionDepthWise Conv_46 1 1 259 262 0=312 1=3 4=1 5=1 6=2808 7=312 9=1\nConvolution Conv_48 1 1 262 265 0=312 1=1 5=1 6=97344 9=1\nConvolution Conv_50 1 1 229_splitncnn_0 266 0=24 1=1 5=1 6=3840\nConvolution Conv_51 1 1 235_splitncnn_0 267 0=24 1=1 5=1 6=5184\nConvolution Conv_52 1 1 265 268 0=24 1=1 5=1 6=7488\nSplit splitncnn_2 1 2 268 268_splitncnn_0 268_splitncnn_1\nInterp Resize_71 1 1 268_splitncnn_1 287 0=1 1=2.000000e+00 2=2.000000e+00\nBinaryOp Add_72 2 1 267 287 288\nSplit splitncnn_3 1 2 288 288_splitncnn_0 288_splitncnn_1\nInterp Resize_91 1 1 288_splitncnn_1 307 0=1 1=2.000000e+00 2=2.000000e+00\nBinaryOp Add_92 2 1 266 307 308\nConvolution Conv_93 1 1 308 309 0=24 1=3 4=1 5=1 6=5184\nSplit splitncnn_4 1 2 309 309_splitncnn_0 309_splitncnn_1\nConvolution Conv_94 1 1 288_splitncnn_0 310 0=24 1=3 4=1 5=1 6=5184\nConvolution Conv_95 1 1 268_splitncnn_0 311 0=24 1=3 4=1 5=1 6=5184\nConvolution Conv_96 1 1 309_splitncnn_1 312 0=24 1=3 3=2 4=1 5=1 6=5184\nBinaryOp Add_97 2 1 310 312 313\nSplit splitncnn_5 1 2 313 313_splitncnn_0 313_splitncnn_1\nConvolution Conv_98 1 1 313_splitncnn_1 314 0=24 1=3 3=2 4=1 5=1 6=5184\nBinaryOp Add_99 2 1 311 314 315\nConvolution Conv_100 1 1 313_splitncnn_0 316 0=24 1=3 4=1 5=1 6=5184\nConvolution Conv_101 1 1 315 317 0=24 1=3 4=1 5=1 6=5184\nConvolutionDepthWise Conv_102 1 1 309_splitncnn_0 318 0=24 1=3 4=1 6=216 7=24\nGroupNorm Add_111 1 1 318 329 0=8 1=24 2=1.000000e-05\nReLU Relu_112 1 1 329 330\nConvolution Conv_113 1 1 330 331 0=96 1=1 6=2304\nGroupNorm Add_122 1 1 331 342 0=8 1=96 2=1.000000e-05\nReLU Relu_123 1 1 342 343\nConvolutionDepthWise Conv_124 1 1 343 344 0=96 1=3 4=1 6=864 7=96\nGroupNorm Add_133 1 1 344 355 0=8 1=96 2=1.000000e-05\nReLU Relu_134 1 1 355 356\nConvolution Conv_135 1 1 356 357 0=96 1=1 6=9216\nGroupNorm Add_144 1 1 357 368 0=8 1=96 2=1.000000e-05\nReLU Relu_145 1 1 368 369\nSplit splitncnn_6 1 2 369 369_splitncnn_0 369_splitncnn_1\nConvolution Conv_146 1 1 369_splitncnn_1 375 0=2 1=3 4=1 5=1 6=1728\nConvolution Conv_147 1 1 369_splitncnn_0 371 0=8 1=3 4=1 5=1 6=6912\nBinaryOp Mul_148 1 1 371 bbox_8 0=2 1=1 2=8.200800e-01\nSigmoid Sigmoid_152 1 1 375 score_8\nConvolutionDepthWise Conv_156 1 1 316 380 0=24 1=3 4=1 6=216 7=24\nGroupNorm Add_165 1 1 380 391 0=8 1=24 2=1.000000e-05\nReLU Relu_166 1 1 391 392\nConvolution Conv_167 1 1 392 393 0=96 1=1 6=2304\nGroupNorm Add_176 1 1 393 404 0=8 1=96 2=1.000000e-05\nReLU Relu_177 1 1 404 405\nConvolutionDepthWise Conv_178 1 1 405 406 0=96 1=3 4=1 6=864 7=96\nGroupNorm Add_187 1 1 406 417 0=8 1=96 2=1.000000e-05\nReLU Relu_188 1 1 417 418\nConvolution Conv_189 1 1 418 419 0=96 1=1 6=9216\nGroupNorm Add_198 1 1 419 430 0=8 1=96 2=1.000000e-05\nReLU Relu_199 1 1 430 431\nSplit splitncnn_7 1 2 431 431_splitncnn_0 431_splitncnn_1\nConvolution Conv_200 1 1 431_splitncnn_1 437 0=2 1=3 4=1 5=1 6=1728\nConvolution Conv_201 1 1 431_splitncnn_0 433 0=8 1=3 4=1 5=1 6=6912\nBinaryOp Mul_202 1 1 433 bbox_16 0=2 1=1 2=1.225648e+00\nSigmoid Sigmoid_206 1 1 437 score_16\nConvolutionDepthWise Conv_210 1 1 317 442 0=24 1=3 4=1 6=216 7=24\nGroupNorm Add_219 1 1 442 453 0=8 1=24 2=1.000000e-05\nReLU Relu_220 1 1 453 454\nConvolution Conv_221 1 1 454 455 0=96 1=1 6=2304\nGroupNorm Add_230 1 1 455 466 0=8 1=96 2=1.000000e-05\nReLU Relu_231 1 1 466 467\nConvolutionDepthWise Conv_232 1 1 467 468 0=96 1=3 4=1 6=864 7=96\nGroupNorm Add_241 1 1 468 479 0=8 1=96 2=1.000000e-05\nReLU Relu_242 1 1 479 480\nConvolution Conv_243 1 1 480 481 0=96 1=1 6=9216\nGroupNorm Add_252 1 1 481 492 0=8 1=96 2=1.000000e-05\nReLU Relu_253 1 1 492 493\nSplit splitncnn_8 1 2 493 493_splitncnn_0 493_splitncnn_1\nConvolution Conv_254 1 1 493_splitncnn_1 499 0=2 1=3 4=1 5=1 6=1728\nConvolution Conv_255 1 1 493_splitncnn_0 495 0=8 1=3 4=1 5=1 6=6912\nBinaryOp Mul_256 1 1 495 bbox_32 0=2 1=1 2=1.842380e+00\nSigmoid Sigmoid_260 1 1 499 score_32\n" }, { "path": "ncnn-android-scrfd-master/app/src/main/assets/scrfd_500m-opt2.param", "content": "7767517\n103 112\nInput input.1 0 1 input.1\nConvolution Conv_0 1 1 input.1 217 0=16 1=3 3=2 4=1 5=1 6=432 9=1\nConvolutionDepthWise Conv_2 1 1 217 220 0=16 1=3 4=1 5=1 6=144 7=16 9=1\nConvolution Conv_4 1 1 220 223 0=16 1=1 5=1 6=256 9=1\nConvolutionDepthWise Conv_6 1 1 223 226 0=16 1=3 3=2 4=1 5=1 6=144 7=16 9=1\nConvolution Conv_8 1 1 226 229 0=40 1=1 5=1 6=640 9=1\nConvolutionDepthWise Conv_10 1 1 229 232 0=40 1=3 4=1 5=1 6=360 7=40 9=1\nConvolution Conv_12 1 1 232 235 0=40 1=1 5=1 6=1600 9=1\nConvolutionDepthWise Conv_14 1 1 235 238 0=40 1=3 3=2 4=1 5=1 6=360 7=40 9=1\nConvolution Conv_16 1 1 238 241 0=72 1=1 5=1 6=2880 9=1\nConvolutionDepthWise Conv_18 1 1 241 244 0=72 1=3 4=1 5=1 6=648 7=72 9=1\nConvolution Conv_20 1 1 244 247 0=72 1=1 5=1 6=5184 9=1\nConvolutionDepthWise Conv_22 1 1 247 250 0=72 1=3 4=1 5=1 6=648 7=72 9=1\nConvolution Conv_24 1 1 250 253 0=72 1=1 5=1 6=5184 9=1\nSplit splitncnn_0 1 2 253 253_splitncnn_0 253_splitncnn_1\nConvolutionDepthWise Conv_26 1 1 253_splitncnn_1 256 0=72 1=3 3=2 4=1 5=1 6=648 7=72 9=1\nConvolution Conv_28 1 1 256 259 0=152 1=1 5=1 6=10944 9=1\nConvolutionDepthWise Conv_30 1 1 259 262 0=152 1=3 4=1 5=1 6=1368 7=152 9=1\nConvolution Conv_32 1 1 262 265 0=152 1=1 5=1 6=23104 9=1\nSplit splitncnn_1 1 2 265 265_splitncnn_0 265_splitncnn_1\nConvolutionDepthWise Conv_34 1 1 265_splitncnn_1 268 0=152 1=3 3=2 4=1 5=1 6=1368 7=152 9=1\nConvolution Conv_36 1 1 268 271 0=288 1=1 5=1 6=43776 9=1\nConvolutionDepthWise Conv_38 1 1 271 274 0=288 1=3 4=1 5=1 6=2592 7=288 9=1\nConvolution Conv_40 1 1 274 277 0=288 1=1 5=1 6=82944 9=1\nConvolutionDepthWise Conv_42 1 1 277 280 0=288 1=3 4=1 5=1 6=2592 7=288 9=1\nConvolution Conv_44 1 1 280 283 0=288 1=1 5=1 6=82944 9=1\nConvolutionDepthWise Conv_46 1 1 283 286 0=288 1=3 4=1 5=1 6=2592 7=288 9=1\nConvolution Conv_48 1 1 286 289 0=288 1=1 5=1 6=82944 9=1\nConvolutionDepthWise Conv_50 1 1 289 292 0=288 1=3 4=1 5=1 6=2592 7=288 9=1\nConvolution Conv_52 1 1 292 295 0=288 1=1 5=1 6=82944 9=1\nConvolutionDepthWise Conv_54 1 1 295 298 0=288 1=3 4=1 5=1 6=2592 7=288 9=1\nConvolution Conv_56 1 1 298 301 0=288 1=1 5=1 6=82944 9=1\nConvolution Conv_58 1 1 253_splitncnn_0 302 0=16 1=1 5=1 6=1152\nConvolution Conv_59 1 1 265_splitncnn_0 303 0=16 1=1 5=1 6=2432\nConvolution Conv_60 1 1 301 304 0=16 1=1 5=1 6=4608\nSplit splitncnn_2 1 2 304 304_splitncnn_0 304_splitncnn_1\nInterp Resize_79 1 1 304_splitncnn_1 323 0=1 1=2.000000e+00 2=2.000000e+00\nBinaryOp Add_80 2 1 303 323 324\nSplit splitncnn_3 1 2 324 324_splitncnn_0 324_splitncnn_1\nInterp Resize_99 1 1 324_splitncnn_1 343 0=1 1=2.000000e+00 2=2.000000e+00\nBinaryOp Add_100 2 1 302 343 344\nConvolution Conv_101 1 1 344 345 0=16 1=3 4=1 5=1 6=2304\nSplit splitncnn_4 1 2 345 345_splitncnn_0 345_splitncnn_1\nConvolution Conv_102 1 1 324_splitncnn_0 346 0=16 1=3 4=1 5=1 6=2304\nConvolution Conv_103 1 1 304_splitncnn_0 347 0=16 1=3 4=1 5=1 6=2304\nConvolution Conv_104 1 1 345_splitncnn_1 348 0=16 1=3 3=2 4=1 5=1 6=2304\nBinaryOp Add_105 2 1 346 348 349\nSplit splitncnn_5 1 2 349 349_splitncnn_0 349_splitncnn_1\nConvolution Conv_106 1 1 349_splitncnn_1 350 0=16 1=3 3=2 4=1 5=1 6=2304\nBinaryOp Add_107 2 1 347 350 351\nConvolution Conv_108 1 1 349_splitncnn_0 352 0=16 1=3 4=1 5=1 6=2304\nConvolution Conv_109 1 1 351 353 0=16 1=3 4=1 5=1 6=2304\nConvolutionDepthWise Conv_110 1 1 345_splitncnn_0 354 0=16 1=3 4=1 6=144 7=16\nGroupNorm Add_119 1 1 354 365 0=16 1=16 2=1.000000e-05\nReLU Relu_120 1 1 365 366\nConvolution Conv_121 1 1 366 367 0=64 1=1 6=1024\nGroupNorm Add_130 1 1 367 378 0=16 1=64 2=1.000000e-05\nReLU Relu_131 1 1 378 379\nConvolutionDepthWise Conv_132 1 1 379 380 0=64 1=3 4=1 6=576 7=64\nGroupNorm Add_141 1 1 380 391 0=16 1=64 2=1.000000e-05\nReLU Relu_142 1 1 391 392\nConvolution Conv_143 1 1 392 393 0=64 1=1 6=4096\nGroupNorm Add_152 1 1 393 404 0=16 1=64 2=1.000000e-05\nReLU Relu_153 1 1 404 405\nSplit splitncnn_6 1 2 405 405_splitncnn_0 405_splitncnn_1\nConvolution Conv_154 1 1 405_splitncnn_1 411 0=2 1=3 4=1 5=1 6=1152\nConvolution Conv_155 1 1 405_splitncnn_0 407 0=8 1=3 4=1 5=1 6=4608\nBinaryOp Mul_156 1 1 407 bbox_8 0=2 1=1 2=7.957783e-01\nSigmoid Sigmoid_160 1 1 411 score_8\nConvolutionDepthWise Conv_164 1 1 352 416 0=16 1=3 4=1 6=144 7=16\nGroupNorm Add_173 1 1 416 427 0=16 1=16 2=1.000000e-05\nReLU Relu_174 1 1 427 428\nConvolution Conv_175 1 1 428 429 0=64 1=1 6=1024\nGroupNorm Add_184 1 1 429 440 0=16 1=64 2=1.000000e-05\nReLU Relu_185 1 1 440 441\nConvolutionDepthWise Conv_186 1 1 441 442 0=64 1=3 4=1 6=576 7=64\nGroupNorm Add_195 1 1 442 453 0=16 1=64 2=1.000000e-05\nReLU Relu_196 1 1 453 454\nConvolution Conv_197 1 1 454 455 0=64 1=1 6=4096\nGroupNorm Add_206 1 1 455 466 0=16 1=64 2=1.000000e-05\nReLU Relu_207 1 1 466 467\nSplit splitncnn_7 1 2 467 467_splitncnn_0 467_splitncnn_1\nConvolution Conv_208 1 1 467_splitncnn_1 473 0=2 1=3 4=1 5=1 6=1152\nConvolution Conv_209 1 1 467_splitncnn_0 469 0=8 1=3 4=1 5=1 6=4608\nBinaryOp Mul_210 1 1 469 bbox_16 0=2 1=1 2=1.201926e+00\nSigmoid Sigmoid_214 1 1 473 score_16\nConvolutionDepthWise Conv_218 1 1 353 478 0=16 1=3 4=1 6=144 7=16\nGroupNorm Add_227 1 1 478 489 0=16 1=16 2=1.000000e-05\nReLU Relu_228 1 1 489 490\nConvolution Conv_229 1 1 490 491 0=64 1=1 6=1024\nGroupNorm Add_238 1 1 491 502 0=16 1=64 2=1.000000e-05\nReLU Relu_239 1 1 502 503\nConvolutionDepthWise Conv_240 1 1 503 504 0=64 1=3 4=1 6=576 7=64\nGroupNorm Add_249 1 1 504 515 0=16 1=64 2=1.000000e-05\nReLU Relu_250 1 1 515 516\nConvolution Conv_251 1 1 516 517 0=64 1=1 6=4096\nGroupNorm Add_260 1 1 517 528 0=16 1=64 2=1.000000e-05\nReLU Relu_261 1 1 528 529\nSplit splitncnn_8 1 2 529 529_splitncnn_0 529_splitncnn_1\nConvolution Conv_262 1 1 529_splitncnn_1 535 0=2 1=3 4=1 5=1 6=1152\nConvolution Conv_263 1 1 529_splitncnn_0 531 0=8 1=3 4=1 5=1 6=4608\nBinaryOp Mul_264 1 1 531 bbox_32 0=2 1=1 2=1.992024e+00\nSigmoid Sigmoid_268 1 1 535 score_32\n" }, { "path": "ncnn-android-scrfd-master/app/src/main/java/com/tencent/scrfdncnn/MainActivity.java", "content": "// Tencent is pleased to support the open source community by making ncnn available.\n//\n// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.\n//\n// Licensed under the BSD 3-Clause License (the \"License\"); you may not use this file except\n// in compliance with the License. You may obtain a copy of the License at\n//\n// https://opensource.org/licenses/BSD-3-Clause\n//\n// Unless required by applicable law or agreed to in writing, software distributed\n// under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR\n// CONDITIONS OF ANY KIND, either express or implied. See the License for the\n// specific language governing permissions and limitations under the License.\n\npackage com.tencent.scrfdncnn;\n\nimport android.Manifest;\nimport android.app.Activity;\nimport android.content.pm.PackageManager;\nimport android.graphics.PixelFormat;\nimport android.os.Bundle;\nimport android.util.Log;\nimport android.view.Surface;\nimport android.view.SurfaceHolder;\nimport android.view.SurfaceView;\nimport android.view.View;\nimport android.view.WindowManager;\nimport android.widget.AdapterView;\nimport android.widget.Button;\nimport android.widget.Spinner;\n\nimport android.support.v4.app.ActivityCompat;\nimport android.support.v4.content.ContextCompat;\n\npublic class MainActivity extends Activity implements SurfaceHolder.Callback\n{\n public static final int REQUEST_CAMERA = 100;\n\n private SCRFDNcnn scrfdncnn = new SCRFDNcnn();\n private int facing = 0;\n\n private Spinner spinnerModel;\n private Spinner spinnerCPUGPU;\n private int current_model = 0;\n private int current_cpugpu = 0;\n\n private SurfaceView cameraView;\n\n /** Called when the activity is first created. */\n @Override\n public void onCreate(Bundle savedInstanceState)\n {\n super.onCreate(savedInstanceState);\n setContentView(R.layout.main);\n\n getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON);\n\n cameraView = (SurfaceView) findViewById(R.id.cameraview);\n\n cameraView.getHolder().setFormat(PixelFormat.RGBA_8888);\n cameraView.getHolder().addCallback(this);\n\n Button buttonSwitchCamera = (Button) findViewById(R.id.buttonSwitchCamera);\n buttonSwitchCamera.setOnClickListener(new View.OnClickListener() {\n @Override\n public void onClick(View arg0) {\n\n int new_facing = 1 - facing;\n\n scrfdncnn.closeCamera();\n\n scrfdncnn.openCamera(new_facing);\n\n facing = new_facing;\n }\n });\n\n spinnerModel = (Spinner) findViewById(R.id.spinnerModel);\n spinnerModel.setOnItemSelectedListener(new AdapterView.OnItemSelectedListener() {\n @Override\n public void onItemSelected(AdapterView arg0, View arg1, int position, long id)\n {\n if (position != current_model)\n {\n current_model = position;\n reload();\n }\n }\n\n @Override\n public void onNothingSelected(AdapterView arg0)\n {\n }\n });\n\n spinnerCPUGPU = (Spinner) findViewById(R.id.spinnerCPUGPU);\n spinnerCPUGPU.setOnItemSelectedListener(new AdapterView.OnItemSelectedListener() {\n @Override\n public void onItemSelected(AdapterView arg0, View arg1, int position, long id)\n {\n if (position != current_cpugpu)\n {\n current_cpugpu = position;\n reload();\n }\n }\n\n @Override\n public void onNothingSelected(AdapterView arg0)\n {\n }\n });\n\n reload();\n }\n\n private void reload()\n {\n boolean ret_init = scrfdncnn.loadModel(getAssets(), current_model, current_cpugpu);\n if (!ret_init)\n {\n Log.e(\"MainActivity\", \"scrfdncnn loadModel failed\");\n }\n }\n\n @Override\n public void surfaceChanged(SurfaceHolder holder, int format, int width, int height)\n {\n scrfdncnn.setOutputWindow(holder.getSurface());\n }\n\n @Override\n public void surfaceCreated(SurfaceHolder holder)\n {\n }\n\n @Override\n public void surfaceDestroyed(SurfaceHolder holder)\n {\n }\n\n @Override\n public void onResume()\n {\n super.onResume();\n\n if (ContextCompat.checkSelfPermission(getApplicationContext(), Manifest.permission.CAMERA) == PackageManager.PERMISSION_DENIED)\n {\n ActivityCompat.requestPermissions(this, new String[] {Manifest.permission.CAMERA}, REQUEST_CAMERA);\n }\n\n scrfdncnn.openCamera(facing);\n }\n\n @Override\n public void onPause()\n {\n super.onPause();\n\n scrfdncnn.closeCamera();\n }\n}\n" }, { "path": "ncnn-android-scrfd-master/app/src/main/java/com/tencent/scrfdncnn/SCRFDNcnn.java", "content": "// Tencent is pleased to support the open source community by making ncnn available.\n//\n// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.\n//\n// Licensed under the BSD 3-Clause License (the \"License\"); you may not use this file except\n// in compliance with the License. You may obtain a copy of the License at\n//\n// https://opensource.org/licenses/BSD-3-Clause\n//\n// Unless required by applicable law or agreed to in writing, software distributed\n// under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR\n// CONDITIONS OF ANY KIND, either express or implied. See the License for the\n// specific language governing permissions and limitations under the License.\n\npackage com.tencent.scrfdncnn;\n\nimport android.content.res.AssetManager;\nimport android.view.Surface;\n\npublic class SCRFDNcnn\n{\n public native boolean loadModel(AssetManager mgr, int modelid, int cpugpu);\n public native boolean openCamera(int facing);\n public native boolean closeCamera();\n public native boolean setOutputWindow(Surface surface);\n\n static {\n System.loadLibrary(\"scrfdncnn\");\n }\n}\n" }, { "path": "ncnn-android-scrfd-master/app/src/main/jni/CMakeLists.txt", "content": "project(scrfdncnn)\n\ncmake_minimum_required(VERSION 3.10)\n\nset(OpenCV_DIR ${CMAKE_SOURCE_DIR}/opencv-mobile-4.5.1-android/sdk/native/jni)\nfind_package(OpenCV REQUIRED core imgproc)\n\nset(ncnn_DIR ${CMAKE_SOURCE_DIR}/ncnn-20210322-android-vulkan/${ANDROID_ABI}/lib/cmake/ncnn)\nfind_package(ncnn REQUIRED)\n\nadd_library(scrfdncnn SHARED scrfdncnn.cpp scrfd.cpp ndkcamera.cpp)\n\ntarget_link_libraries(scrfdncnn ncnn ${OpenCV_LIBS} camera2ndk mediandk)\n" }, { "path": "ncnn-android-scrfd-master/app/src/main/jni/ndkcamera.cpp", "content": "// Tencent is pleased to support the open source community by making ncnn available.\n//\n// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.\n//\n// Licensed under the BSD 3-Clause License (the \"License\"); you may not use this file except\n// in compliance with the License. You may obtain a copy of the License at\n//\n// https://opensource.org/licenses/BSD-3-Clause\n//\n// Unless required by applicable law or agreed to in writing, software distributed\n// under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR\n// CONDITIONS OF ANY KIND, either express or implied. See the License for the\n// specific language governing permissions and limitations under the License.\n\n#include \"ndkcamera.h\"\n\n#include \n\n#include \n\n#include \n\n#include \"mat.h\"\n\nstatic void onDisconnected(void* context, ACameraDevice* device)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onDisconnected %p\", device);\n}\n\nstatic void onError(void* context, ACameraDevice* device, int error)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onError %p %d\", device, error);\n}\n\nstatic void onImageAvailable(void* context, AImageReader* reader)\n{\n// __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onImageAvailable %p\", reader);\n\n AImage* image = 0;\n media_status_t status = AImageReader_acquireLatestImage(reader, &image);\n\n if (status != AMEDIA_OK)\n {\n // error\n return;\n }\n\n int32_t format;\n AImage_getFormat(image, &format);\n\n // assert format == AIMAGE_FORMAT_YUV_420_888\n\n int32_t width = 0;\n int32_t height = 0;\n AImage_getWidth(image, &width);\n AImage_getHeight(image, &height);\n\n int32_t y_pixelStride = 0;\n int32_t u_pixelStride = 0;\n int32_t v_pixelStride = 0;\n AImage_getPlanePixelStride(image, 0, &y_pixelStride);\n AImage_getPlanePixelStride(image, 1, &u_pixelStride);\n AImage_getPlanePixelStride(image, 2, &v_pixelStride);\n\n int32_t y_rowStride = 0;\n int32_t u_rowStride = 0;\n int32_t v_rowStride = 0;\n AImage_getPlaneRowStride(image, 0, &y_rowStride);\n AImage_getPlaneRowStride(image, 1, &u_rowStride);\n AImage_getPlaneRowStride(image, 2, &v_rowStride);\n\n uint8_t* y_data = 0;\n uint8_t* u_data = 0;\n uint8_t* v_data = 0;\n int y_len = 0;\n int u_len = 0;\n int v_len = 0;\n AImage_getPlaneData(image, 0, &y_data, &y_len);\n AImage_getPlaneData(image, 1, &u_data, &u_len);\n AImage_getPlaneData(image, 2, &v_data, &v_len);\n\n if (u_data == v_data + 1 && v_data == y_data + width * height && y_pixelStride == 1 && u_pixelStride == 2 && v_pixelStride == 2 && y_rowStride == width && u_rowStride == width && v_rowStride == width)\n {\n // already nv21 :)\n ((NdkCamera*)context)->on_image((unsigned char*)y_data, (int)width, (int)height);\n }\n else\n {\n // construct nv21\n unsigned char* nv21 = new unsigned char[width * height + width * height / 2];\n {\n // Y\n unsigned char* yptr = nv21;\n for (int y=0; yon_image((unsigned char*)nv21, (int)width, (int)height);\n\n delete[] nv21;\n }\n\n AImage_delete(image);\n}\n\nstatic void onSessionActive(void* context, ACameraCaptureSession *session)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onSessionActive %p\", session);\n}\n\nstatic void onSessionReady(void* context, ACameraCaptureSession *session)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onSessionReady %p\", session);\n}\n\nstatic void onSessionClosed(void* context, ACameraCaptureSession *session)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onSessionClosed %p\", session);\n}\n\nvoid onCaptureFailed(void* context, ACameraCaptureSession* session, ACaptureRequest* request, ACameraCaptureFailure* failure)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onCaptureFailed %p %p %p\", session, request, failure);\n}\n\nvoid onCaptureSequenceCompleted(void* context, ACameraCaptureSession* session, int sequenceId, int64_t frameNumber)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onCaptureSequenceCompleted %p %d %ld\", session, sequenceId, frameNumber);\n}\n\nvoid onCaptureSequenceAborted(void* context, ACameraCaptureSession* session, int sequenceId)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onCaptureSequenceAborted %p %d\", session, sequenceId);\n}\n\nvoid onCaptureCompleted(void* context, ACameraCaptureSession* session, ACaptureRequest* request, const ACameraMetadata* result)\n{\n// __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onCaptureCompleted %p %p %p\", session, request, result);\n}\n\nNdkCamera::NdkCamera()\n{\n camera_facing = 0;\n camera_orientation = 0;\n\n camera_manager = 0;\n camera_device = 0;\n image_reader = 0;\n image_reader_surface = 0;\n image_reader_target = 0;\n capture_request = 0;\n capture_session_output_container = 0;\n capture_session_output = 0;\n capture_session = 0;\n\n\n // setup imagereader and its surface\n {\n AImageReader_new(640, 480, AIMAGE_FORMAT_YUV_420_888, /*maxImages*/2, &image_reader);\n\n AImageReader_ImageListener listener;\n listener.context = this;\n listener.onImageAvailable = onImageAvailable;\n\n AImageReader_setImageListener(image_reader, &listener);\n\n AImageReader_getWindow(image_reader, &image_reader_surface);\n\n ANativeWindow_acquire(image_reader_surface);\n }\n}\n\nNdkCamera::~NdkCamera()\n{\n close();\n\n if (image_reader)\n {\n AImageReader_delete(image_reader);\n image_reader = 0;\n }\n\n if (image_reader_surface)\n {\n ANativeWindow_release(image_reader_surface);\n image_reader_surface = 0;\n }\n}\n\nint NdkCamera::open(int _camera_facing)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"open\");\n\n camera_facing = _camera_facing;\n\n camera_manager = ACameraManager_create();\n\n // find front camera\n std::string camera_id;\n {\n ACameraIdList* camera_id_list = 0;\n ACameraManager_getCameraIdList(camera_manager, &camera_id_list);\n\n for (int i = 0; i < camera_id_list->numCameras; ++i)\n {\n const char* id = camera_id_list->cameraIds[i];\n ACameraMetadata* camera_metadata = 0;\n ACameraManager_getCameraCharacteristics(camera_manager, id, &camera_metadata);\n\n // query faceing\n acamera_metadata_enum_android_lens_facing_t facing = ACAMERA_LENS_FACING_FRONT;\n {\n ACameraMetadata_const_entry e = { 0 };\n ACameraMetadata_getConstEntry(camera_metadata, ACAMERA_LENS_FACING, &e);\n facing = (acamera_metadata_enum_android_lens_facing_t)e.data.u8[0];\n }\n\n if (camera_facing == 0 && facing != ACAMERA_LENS_FACING_FRONT)\n {\n ACameraMetadata_free(camera_metadata);\n continue;\n }\n\n if (camera_facing == 1 && facing != ACAMERA_LENS_FACING_BACK)\n {\n ACameraMetadata_free(camera_metadata);\n continue;\n }\n\n camera_id = id;\n\n // query orientation\n int orientation = 0;\n {\n ACameraMetadata_const_entry e = { 0 };\n ACameraMetadata_getConstEntry(camera_metadata, ACAMERA_SENSOR_ORIENTATION, &e);\n\n orientation = (int)e.data.i32[0];\n }\n\n camera_orientation = orientation;\n\n ACameraMetadata_free(camera_metadata);\n\n break;\n }\n\n ACameraManager_deleteCameraIdList(camera_id_list);\n }\n\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"open %s %d\", camera_id.c_str(), camera_orientation);\n\n // open camera\n {\n ACameraDevice_StateCallbacks camera_device_state_callbacks;\n camera_device_state_callbacks.context = this;\n camera_device_state_callbacks.onDisconnected = onDisconnected;\n camera_device_state_callbacks.onError = onError;\n\n ACameraManager_openCamera(camera_manager, camera_id.c_str(), &camera_device_state_callbacks, &camera_device);\n }\n\n // capture request\n {\n ACameraDevice_createCaptureRequest(camera_device, TEMPLATE_PREVIEW, &capture_request);\n\n ACameraOutputTarget_create(image_reader_surface, &image_reader_target);\n ACaptureRequest_addTarget(capture_request, image_reader_target);\n }\n\n // capture session\n {\n ACameraCaptureSession_stateCallbacks camera_capture_session_state_callbacks;\n camera_capture_session_state_callbacks.context = this;\n camera_capture_session_state_callbacks.onActive = onSessionActive;\n camera_capture_session_state_callbacks.onReady = onSessionReady;\n camera_capture_session_state_callbacks.onClosed = onSessionClosed;\n\n ACaptureSessionOutputContainer_create(&capture_session_output_container);\n\n ACaptureSessionOutput_create(image_reader_surface, &capture_session_output);\n\n ACaptureSessionOutputContainer_add(capture_session_output_container, capture_session_output);\n\n ACameraDevice_createCaptureSession(camera_device, capture_session_output_container, &camera_capture_session_state_callbacks, &capture_session);\n\n ACameraCaptureSession_captureCallbacks camera_capture_session_capture_callbacks;\n camera_capture_session_capture_callbacks.context = this;\n camera_capture_session_capture_callbacks.onCaptureStarted = 0;\n camera_capture_session_capture_callbacks.onCaptureProgressed = 0;\n camera_capture_session_capture_callbacks.onCaptureCompleted = onCaptureCompleted;\n camera_capture_session_capture_callbacks.onCaptureFailed = onCaptureFailed;\n camera_capture_session_capture_callbacks.onCaptureSequenceCompleted = onCaptureSequenceCompleted;\n camera_capture_session_capture_callbacks.onCaptureSequenceAborted = onCaptureSequenceAborted;\n camera_capture_session_capture_callbacks.onCaptureBufferLost = 0;\n\n ACameraCaptureSession_setRepeatingRequest(capture_session, &camera_capture_session_capture_callbacks, 1, &capture_request, nullptr);\n }\n\n return 0;\n}\n\nvoid NdkCamera::close()\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"close\");\n\n if (capture_session)\n {\n ACameraCaptureSession_stopRepeating(capture_session);\n ACameraCaptureSession_close(capture_session);\n capture_session = 0;\n }\n\n if (camera_device)\n {\n ACameraDevice_close(camera_device);\n camera_device = 0;\n }\n\n if (capture_session_output_container)\n {\n ACaptureSessionOutputContainer_free(capture_session_output_container);\n capture_session_output_container = 0;\n }\n\n if (capture_session_output)\n {\n ACaptureSessionOutput_free(capture_session_output);\n capture_session_output = 0;\n }\n\n if (capture_request)\n {\n ACaptureRequest_free(capture_request);\n capture_request = 0;\n }\n\n if (image_reader_target)\n {\n ACameraOutputTarget_free(image_reader_target);\n image_reader_target = 0;\n }\n\n if (camera_manager)\n {\n ACameraManager_delete(camera_manager);\n camera_manager = 0;\n }\n}\n\nvoid NdkCamera::on_image(const cv::Mat& rgb) const\n{\n}\n\nvoid NdkCamera::on_image(const unsigned char* nv21, int nv21_width, int nv21_height) const\n{\n // rotate nv21\n int w = 0;\n int h = 0;\n int rotate_type = 0;\n {\n if (camera_orientation == 0)\n {\n w = nv21_width;\n h = nv21_height;\n rotate_type = camera_facing == 0 ? 2 : 1;\n }\n if (camera_orientation == 90)\n {\n w = nv21_height;\n h = nv21_width;\n rotate_type = camera_facing == 0 ? 5 : 6;\n }\n if (camera_orientation == 180)\n {\n w = nv21_width;\n h = nv21_height;\n rotate_type = camera_facing == 0 ? 4 : 3;\n }\n if (camera_orientation == 270)\n {\n w = nv21_height;\n h = nv21_width;\n rotate_type = camera_facing == 0 ? 7 : 8;\n }\n }\n\n cv::Mat nv21_rotated(h + h / 2, w, CV_8UC1);\n ncnn::kanna_rotate_yuv420sp(nv21, nv21_width, nv21_height, nv21_rotated.data, w, h, rotate_type);\n\n // nv21_rotated to rgb\n cv::Mat rgb(h, w, CV_8UC3);\n ncnn::yuv420sp2rgb(nv21_rotated.data, w, h, rgb.data);\n\n on_image(rgb);\n}\n\nstatic const int NDKCAMERAWINDOW_ID = 233;\n\nNdkCameraWindow::NdkCameraWindow() : NdkCamera()\n{\n sensor_manager = 0;\n sensor_event_queue = 0;\n accelerometer_sensor = 0;\n win = 0;\n\n accelerometer_orientation = 0;\n\n // sensor\n sensor_manager = ASensorManager_getInstance();\n\n accelerometer_sensor = ASensorManager_getDefaultSensor(sensor_manager, ASENSOR_TYPE_ACCELEROMETER);\n}\n\nNdkCameraWindow::~NdkCameraWindow()\n{\n if (accelerometer_sensor)\n {\n ASensorEventQueue_disableSensor(sensor_event_queue, accelerometer_sensor);\n accelerometer_sensor = 0;\n }\n\n if (sensor_event_queue)\n {\n ASensorManager_destroyEventQueue(sensor_manager, sensor_event_queue);\n sensor_event_queue = 0;\n }\n\n if (win)\n {\n ANativeWindow_release(win);\n }\n}\n\nvoid NdkCameraWindow::set_window(ANativeWindow* _win)\n{\n if (win)\n {\n ANativeWindow_release(win);\n }\n\n win = _win;\n ANativeWindow_acquire(win);\n}\n\nvoid NdkCameraWindow::on_image_render(cv::Mat& rgb) const\n{\n}\n\nvoid NdkCameraWindow::on_image(const unsigned char* nv21, int nv21_width, int nv21_height) const\n{\n // resolve orientation from camera_orientation and accelerometer_sensor\n {\n if (!sensor_event_queue)\n {\n sensor_event_queue = ASensorManager_createEventQueue(sensor_manager, ALooper_prepare(ALOOPER_PREPARE_ALLOW_NON_CALLBACKS), NDKCAMERAWINDOW_ID, 0, 0);\n\n ASensorEventQueue_enableSensor(sensor_event_queue, accelerometer_sensor);\n }\n\n int id = ALooper_pollAll(0, 0, 0, 0);\n if (id == NDKCAMERAWINDOW_ID)\n {\n ASensorEvent e[8];\n ssize_t num_event = 0;\n while (ASensorEventQueue_hasEvents(sensor_event_queue) == 1)\n {\n num_event = ASensorEventQueue_getEvents(sensor_event_queue, e, 8);\n if (num_event < 0)\n break;\n }\n\n if (num_event > 0)\n {\n float acceleration_x = e[num_event - 1].acceleration.x;\n float acceleration_y = e[num_event - 1].acceleration.y;\n float acceleration_z = e[num_event - 1].acceleration.z;\n// __android_log_print(ANDROID_LOG_WARN, \"NdkCameraWindow\", \"x = %f, y = %f, z = %f\", x, y, z);\n\n if (acceleration_y > 7)\n {\n accelerometer_orientation = 0;\n }\n if (acceleration_x < -7)\n {\n accelerometer_orientation = 90;\n }\n if (acceleration_y < -7)\n {\n accelerometer_orientation = 180;\n }\n if (acceleration_x > 7)\n {\n accelerometer_orientation = 270;\n }\n }\n }\n }\n\n // roi crop and rotate nv21\n int nv21_roi_x = 0;\n int nv21_roi_y = 0;\n int nv21_roi_w = 0;\n int nv21_roi_h = 0;\n int roi_x = 0;\n int roi_y = 0;\n int roi_w = 0;\n int roi_h = 0;\n int rotate_type = 0;\n int render_w = 0;\n int render_h = 0;\n int render_rotate_type = 0;\n {\n int win_w = ANativeWindow_getWidth(win);\n int win_h = ANativeWindow_getHeight(win);\n\n if (accelerometer_orientation == 90 || accelerometer_orientation == 270)\n {\n std::swap(win_w, win_h);\n }\n\n const int final_orientation = (camera_orientation + accelerometer_orientation) % 360;\n\n if (final_orientation == 0 || final_orientation == 180)\n {\n if (win_w * nv21_height > win_h * nv21_width)\n {\n roi_w = nv21_width;\n roi_h = (nv21_width * win_h / win_w) / 2 * 2;\n roi_x = 0;\n roi_y = ((nv21_height - roi_h) / 2) / 2 * 2;\n }\n else\n {\n roi_h = nv21_height;\n roi_w = (nv21_height * win_w / win_h) / 2 * 2;\n roi_x = ((nv21_width - roi_w) / 2) / 2 * 2;\n roi_y = 0;\n }\n\n nv21_roi_x = roi_x;\n nv21_roi_y = roi_y;\n nv21_roi_w = roi_w;\n nv21_roi_h = roi_h;\n }\n if (final_orientation == 90 || final_orientation == 270)\n {\n if (win_w * nv21_width > win_h * nv21_height)\n {\n roi_w = nv21_height;\n roi_h = (nv21_height * win_h / win_w) / 2 * 2;\n roi_x = 0;\n roi_y = ((nv21_width - roi_h) / 2) / 2 * 2;\n }\n else\n {\n roi_h = nv21_width;\n roi_w = (nv21_width * win_w / win_h) / 2 * 2;\n roi_x = ((nv21_height - roi_w) / 2) / 2 * 2;\n roi_y = 0;\n }\n\n nv21_roi_x = roi_y;\n nv21_roi_y = roi_x;\n nv21_roi_w = roi_h;\n nv21_roi_h = roi_w;\n }\n\n if (camera_facing == 0)\n {\n if (camera_orientation == 0 && accelerometer_orientation == 0)\n {\n rotate_type = 2;\n }\n if (camera_orientation == 0 && accelerometer_orientation == 90)\n {\n rotate_type = 7;\n }\n if (camera_orientation == 0 && accelerometer_orientation == 180)\n {\n rotate_type = 4;\n }\n if (camera_orientation == 0 && accelerometer_orientation == 270)\n {\n rotate_type = 5;\n }\n if (camera_orientation == 90 && accelerometer_orientation == 0)\n {\n rotate_type = 5;\n }\n if (camera_orientation == 90 && accelerometer_orientation == 90)\n {\n rotate_type = 2;\n }\n if (camera_orientation == 90 && accelerometer_orientation == 180)\n {\n rotate_type = 7;\n }\n if (camera_orientation == 90 && accelerometer_orientation == 270)\n {\n rotate_type = 4;\n }\n if (camera_orientation == 180 && accelerometer_orientation == 0)\n {\n rotate_type = 4;\n }\n if (camera_orientation == 180 && accelerometer_orientation == 90)\n {\n rotate_type = 5;\n }\n if (camera_orientation == 180 && accelerometer_orientation == 180)\n {\n rotate_type = 2;\n }\n if (camera_orientation == 180 && accelerometer_orientation == 270)\n {\n rotate_type = 7;\n }\n if (camera_orientation == 270 && accelerometer_orientation == 0)\n {\n rotate_type = 7;\n }\n if (camera_orientation == 270 && accelerometer_orientation == 90)\n {\n rotate_type = 4;\n }\n if (camera_orientation == 270 && accelerometer_orientation == 180)\n {\n rotate_type = 5;\n }\n if (camera_orientation == 270 && accelerometer_orientation == 270)\n {\n rotate_type = 2;\n }\n }\n else\n {\n if (final_orientation == 0)\n {\n rotate_type = 1;\n }\n if (final_orientation == 90)\n {\n rotate_type = 6;\n }\n if (final_orientation == 180)\n {\n rotate_type = 3;\n }\n if (final_orientation == 270)\n {\n rotate_type = 8;\n }\n }\n\n if (accelerometer_orientation == 0)\n {\n render_w = roi_w;\n render_h = roi_h;\n render_rotate_type = 1;\n }\n if (accelerometer_orientation == 90)\n {\n render_w = roi_h;\n render_h = roi_w;\n render_rotate_type = 8;\n }\n if (accelerometer_orientation == 180)\n {\n render_w = roi_w;\n render_h = roi_h;\n render_rotate_type = 3;\n }\n if (accelerometer_orientation == 270)\n {\n render_w = roi_h;\n render_h = roi_w;\n render_rotate_type = 6;\n }\n }\n\n // crop and rotate nv21\n cv::Mat nv21_croprotated(roi_h + roi_h / 2, roi_w, CV_8UC1);\n {\n const unsigned char* srcY = nv21 + nv21_roi_y * nv21_width + nv21_roi_x;\n unsigned char* dstY = nv21_croprotated.data;\n ncnn::kanna_rotate_c1(srcY, nv21_roi_w, nv21_roi_h, nv21_width, dstY, roi_w, roi_h, roi_w, rotate_type);\n\n const unsigned char* srcUV = nv21 + nv21_width * nv21_height + nv21_roi_y * nv21_width / 2 + nv21_roi_x;\n unsigned char* dstUV = nv21_croprotated.data + roi_w * roi_h;\n ncnn::kanna_rotate_c2(srcUV, nv21_roi_w / 2, nv21_roi_h / 2, nv21_width, dstUV, roi_w / 2, roi_h / 2, roi_w, rotate_type);\n }\n\n // nv21_croprotated to rgb\n cv::Mat rgb(roi_h, roi_w, CV_8UC3);\n ncnn::yuv420sp2rgb(nv21_croprotated.data, roi_w, roi_h, rgb.data);\n\n on_image_render(rgb);\n\n // rotate to native window orientation\n cv::Mat rgb_render(render_h, render_w, CV_8UC3);\n ncnn::kanna_rotate_c3(rgb.data, roi_w, roi_h, rgb_render.data, render_w, render_h, render_rotate_type);\n\n ANativeWindow_setBuffersGeometry(win, render_w, render_h, AHARDWAREBUFFER_FORMAT_R8G8B8A8_UNORM);\n\n ANativeWindow_Buffer buf;\n ANativeWindow_lock(win, &buf, NULL);\n\n // scale to target size\n if (buf.format == AHARDWAREBUFFER_FORMAT_R8G8B8A8_UNORM || buf.format == AHARDWAREBUFFER_FORMAT_R8G8B8X8_UNORM)\n {\n for (int y = 0; y < render_h; y++)\n {\n const unsigned char* ptr = rgb_render.ptr(y);\n unsigned char* outptr = (unsigned char*)buf.bits + buf.stride * 4 * y;\n\n int x = 0;\n#if __ARM_NEON\n for (; x + 7 < render_w; x += 8)\n {\n uint8x8x3_t _rgb = vld3_u8(ptr);\n uint8x8x4_t _rgba;\n _rgba.val[0] = _rgb.val[0];\n _rgba.val[1] = _rgb.val[1];\n _rgba.val[2] = _rgb.val[2];\n _rgba.val[3] = vdup_n_u8(255);\n vst4_u8(outptr, _rgba);\n\n ptr += 24;\n outptr += 32;\n }\n#endif // __ARM_NEON\n for (; x < render_w; x++)\n {\n outptr[0] = ptr[0];\n outptr[1] = ptr[1];\n outptr[2] = ptr[2];\n outptr[3] = 255;\n\n ptr += 3;\n outptr += 4;\n }\n }\n }\n\n ANativeWindow_unlockAndPost(win);\n}\n" }, { "path": "ncnn-android-scrfd-master/app/src/main/jni/ndkcamera.h", "content": "// Tencent is pleased to support the open source community by making ncnn available.\n//\n// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.\n//\n// Licensed under the BSD 3-Clause License (the \"License\"); you may not use this file except\n// in compliance with the License. You may obtain a copy of the License at\n//\n// https://opensource.org/licenses/BSD-3-Clause\n//\n// Unless required by applicable law or agreed to in writing, software distributed\n// under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR\n// CONDITIONS OF ANY KIND, either express or implied. See the License for the\n// specific language governing permissions and limitations under the License.\n\n#ifndef NDKCAMERA_H\n#define NDKCAMERA_H\n\n#include \n#include \n#include \n#include \n#include \n#include \n#include \n\n#include \n\nclass NdkCamera\n{\npublic:\n NdkCamera();\n virtual ~NdkCamera();\n\n // facing 0=front 1=back\n int open(int camera_facing = 0);\n void close();\n\n virtual void on_image(const cv::Mat& rgb) const;\n\n virtual void on_image(const unsigned char* nv21, int nv21_width, int nv21_height) const;\n\npublic:\n int camera_facing;\n int camera_orientation;\n\nprivate:\n ACameraManager* camera_manager;\n ACameraDevice* camera_device;\n AImageReader* image_reader;\n ANativeWindow* image_reader_surface;\n ACameraOutputTarget* image_reader_target;\n ACaptureRequest* capture_request;\n ACaptureSessionOutputContainer* capture_session_output_container;\n ACaptureSessionOutput* capture_session_output;\n ACameraCaptureSession* capture_session;\n};\n\nclass NdkCameraWindow : public NdkCamera\n{\npublic:\n NdkCameraWindow();\n virtual ~NdkCameraWindow();\n\n void set_window(ANativeWindow* win);\n\n virtual void on_image_render(cv::Mat& rgb) const;\n\n virtual void on_image(const unsigned char* nv21, int nv21_width, int nv21_height) const;\n\npublic:\n mutable int accelerometer_orientation;\n\nprivate:\n ASensorManager* sensor_manager;\n mutable ASensorEventQueue* sensor_event_queue;\n const ASensor* accelerometer_sensor;\n ANativeWindow* win;\n};\n\n#endif // NDKCAMERA_H\n" }, { "path": "ncnn-android-scrfd-master/app/src/main/jni/scrfd.cpp", "content": "// Tencent is pleased to support the open source community by making ncnn available.\n//\n// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.\n//\n// Licensed under the BSD 3-Clause License (the \"License\"); you may not use this file except\n// in compliance with the License. You may obtain a copy of the License at\n//\n// https://opensource.org/licenses/BSD-3-Clause\n//\n// Unless required by applicable law or agreed to in writing, software distributed\n// under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR\n// CONDITIONS OF ANY KIND, either express or implied. See the License for the\n// specific language governing permissions and limitations under the License.\n\n#include \"scrfd.h\"\n\n#include \n#include \n#include \n\n#include \"cpu.h\"\n\nstatic inline float intersection_area(const FaceObject& a, const FaceObject& b)\n{\n cv::Rect_ inter = a.rect & b.rect;\n return inter.area();\n}\n\nstatic void qsort_descent_inplace(std::vector& faceobjects, int left, int right)\n{\n int i = left;\n int j = right;\n float p = faceobjects[(left + right) / 2].prob;\n\n while (i <= j)\n {\n while (faceobjects[i].prob > p)\n i++;\n\n while (faceobjects[j].prob < p)\n j--;\n\n if (i <= j)\n {\n // swap\n std::swap(faceobjects[i], faceobjects[j]);\n\n i++;\n j--;\n }\n }\n\n// #pragma omp parallel sections\n {\n// #pragma omp section\n {\n if (left < j) qsort_descent_inplace(faceobjects, left, j);\n }\n// #pragma omp section\n {\n if (i < right) qsort_descent_inplace(faceobjects, i, right);\n }\n }\n}\n\nstatic void qsort_descent_inplace(std::vector& faceobjects)\n{\n if (faceobjects.empty())\n return;\n\n qsort_descent_inplace(faceobjects, 0, faceobjects.size() - 1);\n}\n\nstatic void nms_sorted_bboxes(const std::vector& faceobjects, std::vector& picked, float nms_threshold)\n{\n picked.clear();\n\n const int n = faceobjects.size();\n\n std::vector areas(n);\n for (int i = 0; i < n; i++)\n {\n areas[i] = faceobjects[i].rect.area();\n }\n\n for (int i = 0; i < n; i++)\n {\n const FaceObject& a = faceobjects[i];\n\n int keep = 1;\n for (int j = 0; j < (int)picked.size(); j++)\n {\n const FaceObject& b = faceobjects[picked[j]];\n\n // intersection over union\n float inter_area = intersection_area(a, b);\n float union_area = areas[i] + areas[picked[j]] - inter_area;\n // float IoU = inter_area / union_area\n if (inter_area / union_area > nms_threshold)\n keep = 0;\n }\n\n if (keep)\n picked.push_back(i);\n }\n}\n\n// insightface/detection/scrfd/mmdet/core/anchor/anchor_generator.py gen_single_level_base_anchors()\nstatic ncnn::Mat generate_anchors(int base_size, const ncnn::Mat& ratios, const ncnn::Mat& scales)\n{\n int num_ratio = ratios.w;\n int num_scale = scales.w;\n\n ncnn::Mat anchors;\n anchors.create(4, num_ratio * num_scale);\n\n const float cx = 0;\n const float cy = 0;\n\n for (int i = 0; i < num_ratio; i++)\n {\n float ar = ratios[i];\n\n int r_w = round(base_size / sqrt(ar));\n int r_h = round(r_w * ar); //round(base_size * sqrt(ar));\n\n for (int j = 0; j < num_scale; j++)\n {\n float scale = scales[j];\n\n float rs_w = r_w * scale;\n float rs_h = r_h * scale;\n\n float* anchor = anchors.row(i * num_scale + j);\n\n anchor[0] = cx - rs_w * 0.5f;\n anchor[1] = cy - rs_h * 0.5f;\n anchor[2] = cx + rs_w * 0.5f;\n anchor[3] = cy + rs_h * 0.5f;\n }\n }\n\n return anchors;\n}\n\nstatic void generate_proposals(const ncnn::Mat& anchors, int feat_stride, const ncnn::Mat& score_blob, const ncnn::Mat& bbox_blob, const ncnn::Mat& kps_blob, float prob_threshold, std::vector& faceobjects)\n{\n int w = score_blob.w;\n int h = score_blob.h;\n\n // generate face proposal from bbox deltas and shifted anchors\n const int num_anchors = anchors.h;\n\n for (int q = 0; q < num_anchors; q++)\n {\n const float* anchor = anchors.row(q);\n\n const ncnn::Mat score = score_blob.channel(q);\n const ncnn::Mat bbox = bbox_blob.channel_range(q * 4, 4);\n\n // shifted anchor\n float anchor_y = anchor[1];\n\n float anchor_w = anchor[2] - anchor[0];\n float anchor_h = anchor[3] - anchor[1];\n\n for (int i = 0; i < h; i++)\n {\n float anchor_x = anchor[0];\n\n for (int j = 0; j < w; j++)\n {\n int index = i * w + j;\n\n float prob = score[index];\n\n if (prob >= prob_threshold)\n {\n // insightface/detection/scrfd/mmdet/models/dense_heads/scrfd_head.py _get_bboxes_single()\n float dx = bbox.channel(0)[index] * feat_stride;\n float dy = bbox.channel(1)[index] * feat_stride;\n float dw = bbox.channel(2)[index] * feat_stride;\n float dh = bbox.channel(3)[index] * feat_stride;\n\n // insightface/detection/scrfd/mmdet/core/bbox/transforms.py distance2bbox()\n float cx = anchor_x + anchor_w * 0.5f;\n float cy = anchor_y + anchor_h * 0.5f;\n\n float x0 = cx - dx;\n float y0 = cy - dy;\n float x1 = cx + dw;\n float y1 = cy + dh;\n\n FaceObject obj;\n obj.rect.x = x0;\n obj.rect.y = y0;\n obj.rect.width = x1 - x0 + 1;\n obj.rect.height = y1 - y0 + 1;\n obj.prob = prob;\n\n if (!kps_blob.empty())\n {\n const ncnn::Mat kps = kps_blob.channel_range(q * 10, 10);\n\n obj.landmark[0].x = cx + kps.channel(0)[index] * feat_stride;\n obj.landmark[0].y = cy + kps.channel(1)[index] * feat_stride;\n obj.landmark[1].x = cx + kps.channel(2)[index] * feat_stride;\n obj.landmark[1].y = cy + kps.channel(3)[index] * feat_stride;\n obj.landmark[2].x = cx + kps.channel(4)[index] * feat_stride;\n obj.landmark[2].y = cy + kps.channel(5)[index] * feat_stride;\n obj.landmark[3].x = cx + kps.channel(6)[index] * feat_stride;\n obj.landmark[3].y = cy + kps.channel(7)[index] * feat_stride;\n obj.landmark[4].x = cx + kps.channel(8)[index] * feat_stride;\n obj.landmark[4].y = cy + kps.channel(9)[index] * feat_stride;\n }\n\n faceobjects.push_back(obj);\n }\n\n anchor_x += feat_stride;\n }\n\n anchor_y += feat_stride;\n }\n }\n}\n\nint SCRFD::load(const char* modeltype, bool use_gpu)\n{\n scrfd.clear();\n\n ncnn::set_cpu_powersave(2);\n ncnn::set_omp_num_threads(ncnn::get_big_cpu_count());\n\n scrfd.opt = ncnn::Option();\n\n#if NCNN_VULKAN\n scrfd.opt.use_vulkan_compute = use_gpu;\n#endif\n\n scrfd.opt.num_threads = ncnn::get_big_cpu_count();\n\n char parampath[256];\n char modelpath[256];\n sprintf(parampath, \"scrfd_%s-opt2.param\", modeltype);\n sprintf(modelpath, \"scrfd_%s-opt2.bin\", modeltype);\n\n scrfd.load_param(parampath);\n scrfd.load_model(modelpath);\n\n has_kps = strstr(modeltype, \"_kps\") != NULL;\n\n return 0;\n}\n\nint SCRFD::load(AAssetManager* mgr, const char* modeltype, bool use_gpu)\n{\n scrfd.clear();\n\n ncnn::set_cpu_powersave(2);\n ncnn::set_omp_num_threads(ncnn::get_big_cpu_count());\n\n scrfd.opt = ncnn::Option();\n faceseg.opt = ncnn::Option();\n facept.opt = ncnn::Option();\n#if NCNN_VULKAN\n scrfd.opt.use_vulkan_compute = use_gpu;\n faceseg.opt.num_threads = ncnn::get_big_cpu_count();\n#endif\n\n scrfd.opt.num_threads = ncnn::get_big_cpu_count();\n faceseg.opt.num_threads = ncnn::get_big_cpu_count();\n facept.opt.num_threads = ncnn::get_big_cpu_count();\n\n char parampath[256];\n char modelpath[256];\n sprintf(parampath, \"scrfd_%s-opt2.param\", modeltype);\n sprintf(modelpath, \"scrfd_%s-opt2.bin\", modeltype);\n\n scrfd.load_param(mgr, parampath);\n scrfd.load_model(mgr, modelpath);\n faceseg.load_param(mgr,\"faceseg-op.param\");\n faceseg.load_model(mgr,\"faceseg-op.bin\");\n facept.load_param(mgr,\"facemesh-op.param\");\n facept.load_model(mgr,\"facemesh-op.bin\");\n has_kps = strstr(modeltype, \"_kps\") != NULL;\n\n return 0;\n}\n\nint SCRFD::detect(const cv::Mat& rgb, std::vector& faceobjects, float prob_threshold, float nms_threshold)\n{\n int width = rgb.cols;\n int height = rgb.rows;\n\n // insightface/detection/scrfd/configs/scrfd/scrfd_500m.py\n const int target_size = 640;\n\n // pad to multiple of 32\n int w = width;\n int h = height;\n float scale = 1.f;\n if (w > h)\n {\n scale = (float)target_size / w;\n w = target_size;\n h = h * scale;\n }\n else\n {\n scale = (float)target_size / h;\n h = target_size;\n w = w * scale;\n }\n\n ncnn::Mat in = ncnn::Mat::from_pixels_resize(rgb.data, ncnn::Mat::PIXEL_RGB, width, height, w, h);\n\n // pad to target_size rectangle\n int wpad = (w + 31) / 32 * 32 - w;\n int hpad = (h + 31) / 32 * 32 - h;\n ncnn::Mat in_pad;\n ncnn::copy_make_border(in, in_pad, hpad / 2, hpad - hpad / 2, wpad / 2, wpad - wpad / 2, ncnn::BORDER_CONSTANT, 0.f);\n\n const float mean_vals[3] = {127.5f, 127.5f, 127.5f};\n const float norm_vals[3] = {1/128.f, 1/128.f, 1/128.f};\n in_pad.substract_mean_normalize(mean_vals, norm_vals);\n\n ncnn::Extractor ex = scrfd.create_extractor();\n\n ex.input(\"input.1\", in_pad);\n\n std::vector faceproposals;\n\n // stride 8\n {\n ncnn::Mat score_blob, bbox_blob, kps_blob;\n ex.extract(\"score_8\", score_blob);\n ex.extract(\"bbox_8\", bbox_blob);\n if (has_kps)\n ex.extract(\"kps_8\", kps_blob);\n\n const int base_size = 16;\n const int feat_stride = 8;\n ncnn::Mat ratios(1);\n ratios[0] = 1.f;\n ncnn::Mat scales(2);\n scales[0] = 1.f;\n scales[1] = 2.f;\n ncnn::Mat anchors = generate_anchors(base_size, ratios, scales);\n\n std::vector faceobjects32;\n generate_proposals(anchors, feat_stride, score_blob, bbox_blob, kps_blob, prob_threshold, faceobjects32);\n\n faceproposals.insert(faceproposals.end(), faceobjects32.begin(), faceobjects32.end());\n }\n\n // stride 16\n {\n ncnn::Mat score_blob, bbox_blob, kps_blob;\n ex.extract(\"score_16\", score_blob);\n ex.extract(\"bbox_16\", bbox_blob);\n if (has_kps)\n ex.extract(\"kps_16\", kps_blob);\n\n const int base_size = 64;\n const int feat_stride = 16;\n ncnn::Mat ratios(1);\n ratios[0] = 1.f;\n ncnn::Mat scales(2);\n scales[0] = 1.f;\n scales[1] = 2.f;\n ncnn::Mat anchors = generate_anchors(base_size, ratios, scales);\n\n std::vector faceobjects16;\n generate_proposals(anchors, feat_stride, score_blob, bbox_blob, kps_blob, prob_threshold, faceobjects16);\n\n faceproposals.insert(faceproposals.end(), faceobjects16.begin(), faceobjects16.end());\n }\n\n // stride 32\n {\n ncnn::Mat score_blob, bbox_blob, kps_blob;\n ex.extract(\"score_32\", score_blob);\n ex.extract(\"bbox_32\", bbox_blob);\n if (has_kps)\n ex.extract(\"kps_32\", kps_blob);\n\n const int base_size = 256;\n const int feat_stride = 32;\n ncnn::Mat ratios(1);\n ratios[0] = 1.f;\n ncnn::Mat scales(2);\n scales[0] = 1.f;\n scales[1] = 2.f;\n ncnn::Mat anchors = generate_anchors(base_size, ratios, scales);\n\n std::vector faceobjects8;\n generate_proposals(anchors, feat_stride, score_blob, bbox_blob, kps_blob, prob_threshold, faceobjects8);\n\n faceproposals.insert(faceproposals.end(), faceobjects8.begin(), faceobjects8.end());\n }\n\n // sort all proposals by score from highest to lowest\n qsort_descent_inplace(faceproposals);\n\n // apply nms with nms_threshold\n std::vector picked;\n nms_sorted_bboxes(faceproposals, picked, nms_threshold);\n\n int face_count = picked.size();\n\n faceobjects.resize(face_count);\n for (int i = 0; i < face_count; i++)\n {\n faceobjects[i] = faceproposals[picked[i]];\n\n // adjust offset to original unpadded\n float x0 = (faceobjects[i].rect.x - (wpad / 2)) / scale;\n float y0 = (faceobjects[i].rect.y - (hpad / 2)) / scale;\n float x1 = (faceobjects[i].rect.x + faceobjects[i].rect.width - (wpad / 2)) / scale;\n float y1 = (faceobjects[i].rect.y + faceobjects[i].rect.height - (hpad / 2)) / scale;\n\n x0 = std::max(std::min(x0, (float)width - 1), 0.f);\n y0 = std::max(std::min(y0, (float)height - 1), 0.f);\n x1 = std::max(std::min(x1, (float)width - 1), 0.f);\n y1 = std::max(std::min(y1, (float)height - 1), 0.f);\n\n faceobjects[i].rect.x = x0;\n faceobjects[i].rect.y = y0;\n faceobjects[i].rect.width = x1 - x0;\n faceobjects[i].rect.height = y1 - y0;\n\n if (has_kps)\n {\n float x0 = (faceobjects[i].landmark[0].x - (wpad / 2)) / scale;\n float y0 = (faceobjects[i].landmark[0].y - (hpad / 2)) / scale;\n float x1 = (faceobjects[i].landmark[1].x - (wpad / 2)) / scale;\n float y1 = (faceobjects[i].landmark[1].y - (hpad / 2)) / scale;\n float x2 = (faceobjects[i].landmark[2].x - (wpad / 2)) / scale;\n float y2 = (faceobjects[i].landmark[2].y - (hpad / 2)) / scale;\n float x3 = (faceobjects[i].landmark[3].x - (wpad / 2)) / scale;\n float y3 = (faceobjects[i].landmark[3].y - (hpad / 2)) / scale;\n float x4 = (faceobjects[i].landmark[4].x - (wpad / 2)) / scale;\n float y4 = (faceobjects[i].landmark[4].y - (hpad / 2)) / scale;\n\n faceobjects[i].landmark[0].x = std::max(std::min(x0, (float)width - 1), 0.f);\n faceobjects[i].landmark[0].y = std::max(std::min(y0, (float)height - 1), 0.f);\n faceobjects[i].landmark[1].x = std::max(std::min(x1, (float)width - 1), 0.f);\n faceobjects[i].landmark[1].y = std::max(std::min(y1, (float)height - 1), 0.f);\n faceobjects[i].landmark[2].x = std::max(std::min(x2, (float)width - 1), 0.f);\n faceobjects[i].landmark[2].y = std::max(std::min(y2, (float)height - 1), 0.f);\n faceobjects[i].landmark[3].x = std::max(std::min(x3, (float)width - 1), 0.f);\n faceobjects[i].landmark[3].y = std::max(std::min(y3, (float)height - 1), 0.f);\n faceobjects[i].landmark[4].x = std::max(std::min(x4, (float)width - 1), 0.f);\n faceobjects[i].landmark[4].y = std::max(std::min(y4, (float)height - 1), 0.f);\n }\n }\n\n return 0;\n}\nvoid SCRFD::seg(cv::Mat &rgb, const FaceObject &obj,cv::Mat &mask,cv::Rect &box)\n{\n int pad = obj.rect.height;\n box.x = (obj.rect.x+obj.rect.width/2)-pad/2-20;\n box.y = obj.rect.y-80;\n box.width = obj.rect.height+40;\n box.height = obj.rect.height+80;\n\n box.x = std::max(0.f,(float)box.x);\n box.y = std::max(0.f,(float)box.y);\n box.width = box.x+box.width &landmarks)\n{\n int pad = obj.rect.height;\n cv::Rect box;\n\n box.x = (obj.rect.x+obj.rect.width/2)-pad/2;\n box.y = obj.rect.y;\n box.width = obj.rect.height;\n box.height = obj.rect.height;\n\n box.x = std::max(0.f,(float)box.x);\n box.y = std::max(0.f,(float)box.y);\n box.width = box.x+box.width& faceobjects)\n{\n static const unsigned char face_part_colors[8][3] = {{0, 0, 255}, {255, 85, 0}, {255, 170, 0},\n {255, 0, 85}, {255, 0, 170},\n {0, 255, 0}, {170, 255, 255}, {255, 255, 255}};\n for (size_t i = 0; i < faceobjects.size(); i++)\n {\n const FaceObject& obj = faceobjects[i];\n //face segmentation\n /*\n cv::Mat mask = cv::Mat::zeros(256, 256, CV_8UC1);\n cv::Rect box;\n seg(rgb,obj,mask,box);\n cv::Mat maskResize;\n cv::resize(mask,maskResize,cv::Size(box.width,box.height),0,0,cv::INTER_NEAREST);\n\n for(size_t h = 0; h < maskResize.rows; h++)\n {\n cv::Vec3b* pRgb = rgb(box).ptr(h);\n for(size_t w = 0; w < maskResize.cols; w++)\n {\n int index = maskResize.at(h,w);\n if(index == 0)\n continue;\n pRgb[w] = cv::Vec3b(face_part_colors[index][2]*0.3+pRgb[w][2]*0.7,\n face_part_colors[index][1]*0.3+pRgb[w][1]*0.7,\n face_part_colors[index][0]*0.3+pRgb[w][0]*0.7);\n }\n }\n */\n\n //mediapipe face mesh\n std::vector pts;\n landmark(rgb,obj,pts);\n for(int i = 0; i < pts.size(); i++)\n cv::circle(rgb,pts[i],2,cv::Scalar(255,255,0),-1);\n\n cv::rectangle(rgb, obj.rect, cv::Scalar(0, 255, 0));\n\n if (has_kps)\n {\n cv::circle(rgb, obj.landmark[0], 2, cv::Scalar(255, 255, 0), -1);\n cv::circle(rgb, obj.landmark[1], 2, cv::Scalar(255, 255, 0), -1);\n cv::circle(rgb, obj.landmark[2], 2, cv::Scalar(255, 255, 0), -1);\n cv::circle(rgb, obj.landmark[3], 2, cv::Scalar(255, 255, 0), -1);\n cv::circle(rgb, obj.landmark[4], 2, cv::Scalar(255, 255, 0), -1);\n }\n\n char text[256];\n sprintf(text, \"%.1f%%\", obj.prob * 100);\n\n int baseLine = 0;\n cv::Size label_size = cv::getTextSize(text, cv::FONT_HERSHEY_SIMPLEX, 0.5, 1, &baseLine);\n\n int x = obj.rect.x;\n int y = obj.rect.y - label_size.height - baseLine;\n if (y < 0)\n y = 0;\n if (x + label_size.width > rgb.cols)\n x = rgb.cols - label_size.width;\n\n cv::rectangle(rgb, cv::Rect(cv::Point(x, y), cv::Size(label_size.width, label_size.height + baseLine)), cv::Scalar(255, 255, 255), -1);\n\n cv::putText(rgb, text, cv::Point(x, y + label_size.height), cv::FONT_HERSHEY_SIMPLEX, 0.5, cv::Scalar(0, 0, 0), 1);\n }\n\n return 0;\n}\n" }, { "path": "ncnn-android-scrfd-master/app/src/main/jni/scrfd.h", "content": "// Tencent is pleased to support the open source community by making ncnn available.\n//\n// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.\n//\n// Licensed under the BSD 3-Clause License (the \"License\"); you may not use this file except\n// in compliance with the License. You may obtain a copy of the License at\n//\n// https://opensource.org/licenses/BSD-3-Clause\n//\n// Unless required by applicable law or agreed to in writing, software distributed\n// under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR\n// CONDITIONS OF ANY KIND, either express or implied. See the License for the\n// specific language governing permissions and limitations under the License.\n\n#ifndef SCRFD_H\n#define SCRFD_H\n\n#include \n\n#include \n\nstruct FaceObject\n{\n cv::Rect_ rect;\n cv::Point2f landmark[5];\n float prob;\n};\n\nclass SCRFD\n{\npublic:\n int load(const char* modeltype, bool use_gpu = false);\n\n int load(AAssetManager* mgr, const char* modeltype, bool use_gpu = false);\n\n int detect(const cv::Mat& rgb, std::vector& faceobjects, float prob_threshold = 0.5f, float nms_threshold = 0.45f);\n\n int draw(cv::Mat& rgb, const std::vector& faceobjects);\n void seg(cv::Mat &rgb,const FaceObject &obj,cv::Mat &mask,cv::Rect &box);\n void landmark(cv::Mat &rgb, const FaceObject &obj, std::vector &landmarks);\nprivate:\n const float meanVals[3] = { 123.675f, 116.28f, 103.53f };\n const float normVals[3] = { 0.01712475f, 0.0175f, 0.01742919f };\n ncnn::Net facept;\n ncnn::Net faceseg;\n ncnn::Net scrfd;\n bool has_kps;\n};\n\n#endif // SCRFD_H\n" }, { "path": "ncnn-android-scrfd-master/app/src/main/jni/scrfdncnn.cpp", "content": "// Tencent is pleased to support the open source community by making ncnn available.\n//\n// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.\n//\n// Licensed under the BSD 3-Clause License (the \"License\"); you may not use this file except\n// in compliance with the License. You may obtain a copy of the License at\n//\n// https://opensource.org/licenses/BSD-3-Clause\n//\n// Unless required by applicable law or agreed to in writing, software distributed\n// under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR\n// CONDITIONS OF ANY KIND, either express or implied. See the License for the\n// specific language governing permissions and limitations under the License.\n\n#include \n#include \n#include \n\n#include \n\n#include \n\n#include \n#include \n\n#include \n#include \n\n#include \"scrfd.h\"\n\n#include \"ndkcamera.h\"\n\n#include \n#include \n\n#if __ARM_NEON\n#include \n#endif // __ARM_NEON\n\nstatic int draw_unsupported(cv::Mat& rgb)\n{\n const char text[] = \"unsupported\";\n\n int baseLine = 0;\n cv::Size label_size = cv::getTextSize(text, cv::FONT_HERSHEY_SIMPLEX, 1.0, 1, &baseLine);\n\n int y = (rgb.rows - label_size.height) / 2;\n int x = (rgb.cols - label_size.width) / 2;\n\n cv::rectangle(rgb, cv::Rect(cv::Point(x, y), cv::Size(label_size.width, label_size.height + baseLine)),\n cv::Scalar(255, 255, 255), -1);\n\n cv::putText(rgb, text, cv::Point(x, y + label_size.height),\n cv::FONT_HERSHEY_SIMPLEX, 1.0, cv::Scalar(0, 0, 0));\n\n return 0;\n}\n\nstatic int draw_fps(cv::Mat& rgb)\n{\n // resolve moving average\n float avg_fps = 0.f;\n {\n static double t0 = 0.f;\n static float fps_history[10] = {0.f};\n\n double t1 = ncnn::get_current_time();\n if (t0 == 0.f)\n {\n t0 = t1;\n return 0;\n }\n\n float fps = 1000.f / (t1 - t0);\n t0 = t1;\n\n for (int i = 9; i >= 1; i--)\n {\n fps_history[i] = fps_history[i - 1];\n }\n fps_history[0] = fps;\n\n if (fps_history[9] == 0.f)\n {\n return 0;\n }\n\n for (int i = 0; i < 10; i++)\n {\n avg_fps += fps_history[i];\n }\n avg_fps /= 10.f;\n }\n\n char text[32];\n sprintf(text, \"FPS=%.2f\", avg_fps);\n\n int baseLine = 0;\n cv::Size label_size = cv::getTextSize(text, cv::FONT_HERSHEY_SIMPLEX, 0.5, 1, &baseLine);\n\n int y = 0;\n int x = rgb.cols - label_size.width;\n\n cv::rectangle(rgb, cv::Rect(cv::Point(x, y), cv::Size(label_size.width, label_size.height + baseLine)),\n cv::Scalar(255, 255, 255), -1);\n\n cv::putText(rgb, text, cv::Point(x, y + label_size.height),\n cv::FONT_HERSHEY_SIMPLEX, 0.5, cv::Scalar(0, 0, 0));\n\n return 0;\n}\n\nstatic SCRFD* g_scrfd = 0;\nstatic ncnn::Mutex lock;\n\nclass MyNdkCamera : public NdkCameraWindow\n{\npublic:\n virtual void on_image_render(cv::Mat& rgb) const;\n};\n\nvoid MyNdkCamera::on_image_render(cv::Mat& rgb) const\n{\n // scrfd\n {\n ncnn::MutexLockGuard g(lock);\n\n if (g_scrfd)\n {\n std::vector faceobjects;\n g_scrfd->detect(rgb, faceobjects);\n\n g_scrfd->draw(rgb, faceobjects);\n }\n else\n {\n draw_unsupported(rgb);\n }\n }\n\n draw_fps(rgb);\n}\n\nstatic MyNdkCamera* g_camera = 0;\n\nextern \"C\" {\n\nJNIEXPORT jint JNI_OnLoad(JavaVM* vm, void* reserved)\n{\n __android_log_print(ANDROID_LOG_DEBUG, \"ncnn\", \"JNI_OnLoad\");\n\n g_camera = new MyNdkCamera;\n\n return JNI_VERSION_1_4;\n}\n\nJNIEXPORT void JNI_OnUnload(JavaVM* vm, void* reserved)\n{\n __android_log_print(ANDROID_LOG_DEBUG, \"ncnn\", \"JNI_OnUnload\");\n\n {\n ncnn::MutexLockGuard g(lock);\n\n delete g_scrfd;\n g_scrfd = 0;\n }\n\n delete g_camera;\n g_camera = 0;\n}\n\n// public native boolean loadModel(AssetManager mgr, int modelid, int cpugpu);\nJNIEXPORT jboolean JNICALL Java_com_tencent_scrfdncnn_SCRFDNcnn_loadModel(JNIEnv* env, jobject thiz, jobject assetManager, jint modelid, jint cpugpu)\n{\n if (modelid < 0 || modelid > 6 || cpugpu < 0 || cpugpu > 1)\n {\n return JNI_FALSE;\n }\n\n AAssetManager* mgr = AAssetManager_fromJava(env, assetManager);\n\n __android_log_print(ANDROID_LOG_DEBUG, \"ncnn\", \"loadModel %p\", mgr);\n\n const char* modeltypes[] =\n {\n \"500m\",\n \"1g\",\n };\n\n const char* modeltype = modeltypes[(int)modelid];\n bool use_gpu = (int)cpugpu == 1;\n\n // reload\n {\n ncnn::MutexLockGuard g(lock);\n\n if (use_gpu && ncnn::get_gpu_count() == 0)\n {\n // no gpu\n delete g_scrfd;\n g_scrfd = 0;\n }\n else\n {\n if (!g_scrfd)\n g_scrfd = new SCRFD;\n g_scrfd->load(mgr, modeltype, use_gpu);\n }\n }\n\n return JNI_TRUE;\n}\n\n// public native boolean openCamera(int facing);\nJNIEXPORT jboolean JNICALL Java_com_tencent_scrfdncnn_SCRFDNcnn_openCamera(JNIEnv* env, jobject thiz, jint facing)\n{\n if (facing < 0 || facing > 1)\n return JNI_FALSE;\n\n __android_log_print(ANDROID_LOG_DEBUG, \"ncnn\", \"openCamera %d\", facing);\n\n g_camera->open((int)facing);\n\n return JNI_TRUE;\n}\n\n// public native boolean closeCamera();\nJNIEXPORT jboolean JNICALL Java_com_tencent_scrfdncnn_SCRFDNcnn_closeCamera(JNIEnv* env, jobject thiz)\n{\n __android_log_print(ANDROID_LOG_DEBUG, \"ncnn\", \"closeCamera\");\n\n g_camera->close();\n\n return JNI_TRUE;\n}\n\n// public native boolean setOutputWindow(Surface surface);\nJNIEXPORT jboolean JNICALL Java_com_tencent_scrfdncnn_SCRFDNcnn_setOutputWindow(JNIEnv* env, jobject thiz, jobject surface)\n{\n ANativeWindow* win = ANativeWindow_fromSurface(env, surface);\n\n __android_log_print(ANDROID_LOG_DEBUG, \"ncnn\", \"setOutputWindow %p\", win);\n\n g_camera->set_window(win);\n\n return JNI_TRUE;\n}\n\n}\n" }, { "path": "ncnn-android-scrfd-master/app/src/main/res/layout/main.xml", "content": "\n\n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\n\n" }, { "path": "ncnn-android-scrfd-master/app/src/main/res/values/strings.xml", "content": "\n\n scrfdncnn\n \n 500m\n 1g\n \n \n CPU\n GPU\n \n\n" }, { "path": "ncnn-android-scrfd-master/build.gradle", "content": "// Top-level build file where you can add configuration options common to all sub-projects/modules.\nbuildscript {\n repositories {\n jcenter()\n google()\n }\n dependencies {\n classpath 'com.android.tools.build:gradle:3.5.0'\n }\n}\n\nallprojects {\n repositories {\n jcenter()\n google()\n }\n}\n" }, { "path": "ncnn-android-scrfd-master/gradle/wrapper/gradle-wrapper.properties", "content": "#Sun Sep 08 23:09:42 CST 2019\ndistributionBase=GRADLE_USER_HOME\ndistributionPath=wrapper/dists\nzipStoreBase=GRADLE_USER_HOME\nzipStorePath=wrapper/dists\ndistributionUrl=https\\://services.gradle.org/distributions/gradle-5.4.1-all.zip\n" }, { "path": "ncnn-android-scrfd-master/gradlew", "content": "#!/usr/bin/env sh\n\n##############################################################################\n##\n## Gradle start up script for UN*X\n##\n##############################################################################\n\n# Attempt to set APP_HOME\n# Resolve links: $0 may be a link\nPRG=\"$0\"\n# Need this for relative symlinks.\nwhile [ -h \"$PRG\" ] ; do\n ls=`ls -ld \"$PRG\"`\n link=`expr \"$ls\" : '.*-> \\(.*\\)$'`\n if expr \"$link\" : '/.*' > /dev/null; then\n PRG=\"$link\"\n else\n PRG=`dirname \"$PRG\"`\"/$link\"\n fi\ndone\nSAVED=\"`pwd`\"\ncd \"`dirname \\\"$PRG\\\"`/\" >/dev/null\nAPP_HOME=\"`pwd -P`\"\ncd \"$SAVED\" >/dev/null\n\nAPP_NAME=\"Gradle\"\nAPP_BASE_NAME=`basename \"$0\"`\n\n# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.\nDEFAULT_JVM_OPTS=\"\"\n\n# Use the maximum available, or set MAX_FD != -1 to use that value.\nMAX_FD=\"maximum\"\n\nwarn () {\n echo \"$*\"\n}\n\ndie () {\n echo\n echo \"$*\"\n echo\n exit 1\n}\n\n# OS specific support (must be 'true' or 'false').\ncygwin=false\nmsys=false\ndarwin=false\nnonstop=false\ncase \"`uname`\" in\n CYGWIN* )\n cygwin=true\n ;;\n Darwin* )\n darwin=true\n ;;\n MINGW* )\n msys=true\n ;;\n NONSTOP* )\n nonstop=true\n ;;\nesac\n\nCLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar\n\n# Determine the Java command to use to start the JVM.\nif [ -n \"$JAVA_HOME\" ] ; then\n if [ -x \"$JAVA_HOME/jre/sh/java\" ] ; then\n # IBM's JDK on AIX uses strange locations for the executables\n JAVACMD=\"$JAVA_HOME/jre/sh/java\"\n else\n JAVACMD=\"$JAVA_HOME/bin/java\"\n fi\n if [ ! -x \"$JAVACMD\" ] ; then\n die \"ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME\n\nPlease set the JAVA_HOME variable in your environment to match the\nlocation of your Java installation.\"\n fi\nelse\n JAVACMD=\"java\"\n which java >/dev/null 2>&1 || die \"ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.\n\nPlease set the JAVA_HOME variable in your environment to match the\nlocation of your Java installation.\"\nfi\n\n# Increase the maximum file descriptors if we can.\nif [ \"$cygwin\" = \"false\" -a \"$darwin\" = \"false\" -a \"$nonstop\" = \"false\" ] ; then\n MAX_FD_LIMIT=`ulimit -H -n`\n if [ $? -eq 0 ] ; then\n if [ \"$MAX_FD\" = \"maximum\" -o \"$MAX_FD\" = \"max\" ] ; then\n MAX_FD=\"$MAX_FD_LIMIT\"\n fi\n ulimit -n $MAX_FD\n if [ $? -ne 0 ] ; then\n warn \"Could not set maximum file descriptor limit: $MAX_FD\"\n fi\n else\n warn \"Could not query maximum file descriptor limit: $MAX_FD_LIMIT\"\n fi\nfi\n\n# For Darwin, add options to specify how the application appears in the dock\nif $darwin; then\n GRADLE_OPTS=\"$GRADLE_OPTS \\\"-Xdock:name=$APP_NAME\\\" \\\"-Xdock:icon=$APP_HOME/media/gradle.icns\\\"\"\nfi\n\n# For Cygwin, switch paths to Windows format before running java\nif $cygwin ; then\n APP_HOME=`cygpath --path --mixed \"$APP_HOME\"`\n CLASSPATH=`cygpath --path --mixed \"$CLASSPATH\"`\n JAVACMD=`cygpath --unix \"$JAVACMD\"`\n\n # We build the pattern for arguments to be converted via cygpath\n ROOTDIRSRAW=`find -L / -maxdepth 1 -mindepth 1 -type d 2>/dev/null`\n SEP=\"\"\n for dir in $ROOTDIRSRAW ; do\n ROOTDIRS=\"$ROOTDIRS$SEP$dir\"\n SEP=\"|\"\n done\n OURCYGPATTERN=\"(^($ROOTDIRS))\"\n # Add a user-defined pattern to the cygpath arguments\n if [ \"$GRADLE_CYGPATTERN\" != \"\" ] ; then\n OURCYGPATTERN=\"$OURCYGPATTERN|($GRADLE_CYGPATTERN)\"\n fi\n # Now convert the arguments - kludge to limit ourselves to /bin/sh\n i=0\n for arg in \"$@\" ; do\n CHECK=`echo \"$arg\"|egrep -c \"$OURCYGPATTERN\" -`\n CHECK2=`echo \"$arg\"|egrep -c \"^-\"` ### Determine if an option\n\n if [ $CHECK -ne 0 ] && [ $CHECK2 -eq 0 ] ; then ### Added a condition\n eval `echo args$i`=`cygpath --path --ignore --mixed \"$arg\"`\n else\n eval `echo args$i`=\"\\\"$arg\\\"\"\n fi\n i=$((i+1))\n done\n case $i in\n (0) set -- ;;\n (1) set -- \"$args0\" ;;\n (2) set -- \"$args0\" \"$args1\" ;;\n (3) set -- \"$args0\" \"$args1\" \"$args2\" ;;\n (4) set -- \"$args0\" \"$args1\" \"$args2\" \"$args3\" ;;\n (5) set -- \"$args0\" \"$args1\" \"$args2\" \"$args3\" \"$args4\" ;;\n (6) set -- \"$args0\" \"$args1\" \"$args2\" \"$args3\" \"$args4\" \"$args5\" ;;\n (7) set -- \"$args0\" \"$args1\" \"$args2\" \"$args3\" \"$args4\" \"$args5\" \"$args6\" ;;\n (8) set -- \"$args0\" \"$args1\" \"$args2\" \"$args3\" \"$args4\" \"$args5\" \"$args6\" \"$args7\" ;;\n (9) set -- \"$args0\" \"$args1\" \"$args2\" \"$args3\" \"$args4\" \"$args5\" \"$args6\" \"$args7\" \"$args8\" ;;\n esac\nfi\n\n# Escape application args\nsave () {\n for i do printf %s\\\\n \"$i\" | sed \"s/'/'\\\\\\\\''/g;1s/^/'/;\\$s/\\$/' \\\\\\\\/\" ; done\n echo \" \"\n}\nAPP_ARGS=$(save \"$@\")\n\n# Collect all arguments for the java command, following the shell quoting and substitution rules\neval set -- $DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS \"\\\"-Dorg.gradle.appname=$APP_BASE_NAME\\\"\" -classpath \"\\\"$CLASSPATH\\\"\" org.gradle.wrapper.GradleWrapperMain \"$APP_ARGS\"\n\n# by default we should be in the correct project dir, but when run from Finder on Mac, the cwd is wrong\nif [ \"$(uname)\" = \"Darwin\" ] && [ \"$HOME\" = \"$PWD\" ]; then\n cd \"$(dirname \"$0\")\"\nfi\n\nexec \"$JAVACMD\" \"$@\"\n" }, { "path": "ncnn-android-scrfd-master/gradlew.bat", "content": "@if \"%DEBUG%\" == \"\" @echo off\n@rem ##########################################################################\n@rem\n@rem Gradle startup script for Windows\n@rem\n@rem ##########################################################################\n\n@rem Set local scope for the variables with windows NT shell\nif \"%OS%\"==\"Windows_NT\" setlocal\n\nset DIRNAME=%~dp0\nif \"%DIRNAME%\" == \"\" set DIRNAME=.\nset APP_BASE_NAME=%~n0\nset APP_HOME=%DIRNAME%\n\n@rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.\nset DEFAULT_JVM_OPTS=\n\n@rem Find java.exe\nif defined JAVA_HOME goto findJavaFromJavaHome\n\nset JAVA_EXE=java.exe\n%JAVA_EXE% -version >NUL 2>&1\nif \"%ERRORLEVEL%\" == \"0\" goto init\n\necho.\necho ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.\necho.\necho Please set the JAVA_HOME variable in your environment to match the\necho location of your Java installation.\n\ngoto fail\n\n:findJavaFromJavaHome\nset JAVA_HOME=%JAVA_HOME:\"=%\nset JAVA_EXE=%JAVA_HOME%/bin/java.exe\n\nif exist \"%JAVA_EXE%\" goto init\n\necho.\necho ERROR: JAVA_HOME is set to an invalid directory: %JAVA_HOME%\necho.\necho Please set the JAVA_HOME variable in your environment to match the\necho location of your Java installation.\n\ngoto fail\n\n:init\n@rem Get command-line arguments, handling Windows variants\n\nif not \"%OS%\" == \"Windows_NT\" goto win9xME_args\n\n:win9xME_args\n@rem Slurp the command line arguments.\nset CMD_LINE_ARGS=\nset _SKIP=2\n\n:win9xME_args_slurp\nif \"x%~1\" == \"x\" goto execute\n\nset CMD_LINE_ARGS=%*\n\n:execute\n@rem Setup the command line\n\nset CLASSPATH=%APP_HOME%\\gradle\\wrapper\\gradle-wrapper.jar\n\n@rem Execute Gradle\n\"%JAVA_EXE%\" %DEFAULT_JVM_OPTS% %JAVA_OPTS% %GRADLE_OPTS% \"-Dorg.gradle.appname=%APP_BASE_NAME%\" -classpath \"%CLASSPATH%\" org.gradle.wrapper.GradleWrapperMain %CMD_LINE_ARGS%\n\n:end\n@rem End local scope for the variables with windows NT shell\nif \"%ERRORLEVEL%\"==\"0\" goto mainEnd\n\n:fail\nrem Set variable GRADLE_EXIT_CONSOLE if you need the _script_ return code instead of\nrem the _cmd.exe /c_ return code!\nif not \"\" == \"%GRADLE_EXIT_CONSOLE%\" exit 1\nexit /b 1\n\n:mainEnd\nif \"%OS%\"==\"Windows_NT\" endlocal\n\n:omega\n" }, { "path": "ncnn-android-scrfd-master/local.properties", "content": "## This file must *NOT* be checked into Version Control Systems,\n# as it contains information specific to your local configuration.\n#\n# Location of the SDK. This is only used by Gradle.\n# For customization when using a Version Control System, please read the\n# header note.\n#Mon May 17 14:14:17 CST 2021\nsdk.dir=D\\:\\\\Android\n" }, { "path": "ncnn-android-scrfd-master/settings.gradle", "content": "include ':app'\n" }, { "path": "ncnn-android-yolov5_face/app/build.gradle", "content": "apply plugin: 'com.android.application'\n\nandroid {\n compileSdkVersion 24\n buildToolsVersion \"29.0.2\"\n\n defaultConfig {\n applicationId \"com.tencent.ncnnyoloface\"\n archivesBaseName = \"$applicationId\"\n\n minSdkVersion 24\n }\n\n externalNativeBuild {\n cmake {\n version \"3.10.2\"\n path file('src/main/jni/CMakeLists.txt')\n }\n }\n\n dependencies {\n implementation 'com.android.support:support-v4:24.0.0'\n }\n}\n" }, { "path": "ncnn-android-yolov5_face/app/src/main/AndroidManifest.xml", "content": "\n\n \n \n\n \n \n \n \n \n \n \n \n \n" }, { "path": "ncnn-android-yolov5_face/app/src/main/assets/yolov5n-0.5.param", "content": "7767517\n224 251\nInput data 0 1 data\nConvolution Conv_0 1 1 data 389 0=16 1=3 3=2 4=1 5=1 6=432\nSwish Mul_2 1 1 389 391\nSplit splitncnn_0 1 2 391 391_splitncnn_0 391_splitncnn_1\nConvolution Conv_3 1 1 391_splitncnn_1 392 0=8 1=1 5=1 6=128\nSwish Mul_5 1 1 392 394\nConvolution Conv_6 1 1 394 395 0=16 1=3 3=2 4=1 5=1 6=1152\nSwish Mul_8 1 1 395 397\nPooling MaxPool_9 1 1 391_splitncnn_0 398 1=2 2=2\nConcat Concat_10 2 1 397 398 399\nConvolution Conv_11 1 1 399 400 0=16 1=1 5=1 6=512\nSwish Mul_13 1 1 400 402\nSplit splitncnn_1 1 2 402 402_splitncnn_0 402_splitncnn_1\nConvolutionDepthWise Conv_14 1 1 402_splitncnn_1 796 0=16 1=3 3=2 4=1 5=1 6=144 7=16\nConvolution Conv_15 1 1 796 799 0=32 1=1 5=1 6=512\nSwish Mul_17 1 1 799 408\nConvolution Conv_18 1 1 402_splitncnn_0 802 0=32 1=1 5=1 6=512\nSwish Mul_20 1 1 802 412\nConvolutionDepthWise Conv_21 1 1 412 805 0=32 1=3 3=2 4=1 5=1 6=288 7=32\nConvolution Conv_22 1 1 805 808 0=32 1=1 5=1 6=1024\nSwish Mul_24 1 1 808 418\nConcat Concat_25 2 1 408 418 419\nShuffleChannel Reshape_30 1 1 419 424 0=2\nSlice Split_31 1 2 424 425 426 -23300=2,32,-233\nConvolution Conv_32 1 1 426 811 0=32 1=1 5=1 6=1024\nSwish Mul_34 1 1 811 430\nConvolutionDepthWise Conv_35 1 1 430 814 0=32 1=3 4=1 5=1 6=288 7=32\nConvolution Conv_36 1 1 814 817 0=32 1=1 5=1 6=1024\nSwish Mul_38 1 1 817 436\nConcat Concat_39 2 1 425 436 437\nShuffleChannel Reshape_44 1 1 437 442 0=2\nSlice Split_45 1 2 442 443 444 -23300=2,32,-233\nConvolution Conv_46 1 1 444 820 0=32 1=1 5=1 6=1024\nSwish Mul_48 1 1 820 448\nConvolutionDepthWise Conv_49 1 1 448 823 0=32 1=3 4=1 5=1 6=288 7=32\nConvolution Conv_50 1 1 823 826 0=32 1=1 5=1 6=1024\nSwish Mul_52 1 1 826 454\nConcat Concat_53 2 1 443 454 455\nShuffleChannel Reshape_58 1 1 455 460 0=2\nSlice Split_59 1 2 460 461 462 -23300=2,32,-233\nConvolution Conv_60 1 1 462 829 0=32 1=1 5=1 6=1024\nSwish Mul_62 1 1 829 466\nConvolutionDepthWise Conv_63 1 1 466 832 0=32 1=3 4=1 5=1 6=288 7=32\nConvolution Conv_64 1 1 832 835 0=32 1=1 5=1 6=1024\nSwish Mul_66 1 1 835 472\nConcat Concat_67 2 1 461 472 473\nShuffleChannel Reshape_72 1 1 473 478 0=2\nSplit splitncnn_2 1 3 478 478_splitncnn_0 478_splitncnn_1 478_splitncnn_2\nConvolutionDepthWise Conv_73 1 1 478_splitncnn_2 838 0=64 1=3 3=2 4=1 5=1 6=576 7=64\nConvolution Conv_74 1 1 838 841 0=64 1=1 5=1 6=4096\nSwish Mul_76 1 1 841 484\nConvolution Conv_77 1 1 478_splitncnn_1 844 0=64 1=1 5=1 6=4096\nSwish Mul_79 1 1 844 488\nConvolutionDepthWise Conv_80 1 1 488 847 0=64 1=3 3=2 4=1 5=1 6=576 7=64\nConvolution Conv_81 1 1 847 850 0=64 1=1 5=1 6=4096\nSwish Mul_83 1 1 850 494\nConcat Concat_84 2 1 484 494 495\nShuffleChannel Reshape_89 1 1 495 500 0=2\nSlice Split_90 1 2 500 501 502 -23300=2,64,-233\nConvolution Conv_91 1 1 502 853 0=64 1=1 5=1 6=4096\nSwish Mul_93 1 1 853 506\nConvolutionDepthWise Conv_94 1 1 506 856 0=64 1=3 4=1 5=1 6=576 7=64\nConvolution Conv_95 1 1 856 859 0=64 1=1 5=1 6=4096\nSwish Mul_97 1 1 859 512\nConcat Concat_98 2 1 501 512 513\nShuffleChannel Reshape_103 1 1 513 518 0=2\nSlice Split_104 1 2 518 519 520 -23300=2,64,-233\nConvolution Conv_105 1 1 520 862 0=64 1=1 5=1 6=4096\nSwish Mul_107 1 1 862 524\nConvolutionDepthWise Conv_108 1 1 524 865 0=64 1=3 4=1 5=1 6=576 7=64\nConvolution Conv_109 1 1 865 868 0=64 1=1 5=1 6=4096\nSwish Mul_111 1 1 868 530\nConcat Concat_112 2 1 519 530 531\nShuffleChannel Reshape_117 1 1 531 536 0=2\nSlice Split_118 1 2 536 537 538 -23300=2,64,-233\nConvolution Conv_119 1 1 538 871 0=64 1=1 5=1 6=4096\nSwish Mul_121 1 1 871 542\nConvolutionDepthWise Conv_122 1 1 542 874 0=64 1=3 4=1 5=1 6=576 7=64\nConvolution Conv_123 1 1 874 877 0=64 1=1 5=1 6=4096\nSwish Mul_125 1 1 877 548\nConcat Concat_126 2 1 537 548 549\nShuffleChannel Reshape_131 1 1 549 554 0=2\nSlice Split_132 1 2 554 555 556 -23300=2,64,-233\nConvolution Conv_133 1 1 556 880 0=64 1=1 5=1 6=4096\nSwish Mul_135 1 1 880 560\nConvolutionDepthWise Conv_136 1 1 560 883 0=64 1=3 4=1 5=1 6=576 7=64\nConvolution Conv_137 1 1 883 886 0=64 1=1 5=1 6=4096\nSwish Mul_139 1 1 886 566\nConcat Concat_140 2 1 555 566 567\nShuffleChannel Reshape_145 1 1 567 572 0=2\nSlice Split_146 1 2 572 573 574 -23300=2,64,-233\nConvolution Conv_147 1 1 574 889 0=64 1=1 5=1 6=4096\nSwish Mul_149 1 1 889 578\nConvolutionDepthWise Conv_150 1 1 578 892 0=64 1=3 4=1 5=1 6=576 7=64\nConvolution Conv_151 1 1 892 895 0=64 1=1 5=1 6=4096\nSwish Mul_153 1 1 895 584\nConcat Concat_154 2 1 573 584 585\nShuffleChannel Reshape_159 1 1 585 590 0=2\nSlice Split_160 1 2 590 591 592 -23300=2,64,-233\nConvolution Conv_161 1 1 592 898 0=64 1=1 5=1 6=4096\nSwish Mul_163 1 1 898 596\nConvolutionDepthWise Conv_164 1 1 596 901 0=64 1=3 4=1 5=1 6=576 7=64\nConvolution Conv_165 1 1 901 904 0=64 1=1 5=1 6=4096\nSwish Mul_167 1 1 904 602\nConcat Concat_168 2 1 591 602 603\nShuffleChannel Reshape_173 1 1 603 608 0=2\nSlice Split_174 1 2 608 609 610 -23300=2,64,-233\nConvolution Conv_175 1 1 610 907 0=64 1=1 5=1 6=4096\nSwish Mul_177 1 1 907 614\nConvolutionDepthWise Conv_178 1 1 614 910 0=64 1=3 4=1 5=1 6=576 7=64\nConvolution Conv_179 1 1 910 913 0=64 1=1 5=1 6=4096\nSwish Mul_181 1 1 913 620\nConcat Concat_182 2 1 609 620 621\nShuffleChannel Reshape_187 1 1 621 626 0=2\nSplit splitncnn_3 1 3 626 626_splitncnn_0 626_splitncnn_1 626_splitncnn_2\nConvolutionDepthWise Conv_188 1 1 626_splitncnn_2 916 0=128 1=3 3=2 4=1 5=1 6=1152 7=128\nConvolution Conv_189 1 1 916 919 0=128 1=1 5=1 6=16384\nSwish Mul_191 1 1 919 632\nConvolution Conv_192 1 1 626_splitncnn_1 922 0=128 1=1 5=1 6=16384\nSwish Mul_194 1 1 922 636\nConvolutionDepthWise Conv_195 1 1 636 925 0=128 1=3 3=2 4=1 5=1 6=1152 7=128\nConvolution Conv_196 1 1 925 928 0=128 1=1 5=1 6=16384\nSwish Mul_198 1 1 928 642\nConcat Concat_199 2 1 632 642 643\nShuffleChannel Reshape_204 1 1 643 648 0=2\nSlice Split_205 1 2 648 649 650 -23300=2,128,-233\nConvolution Conv_206 1 1 650 931 0=128 1=1 5=1 6=16384\nSwish Mul_208 1 1 931 654\nConvolutionDepthWise Conv_209 1 1 654 934 0=128 1=3 4=1 5=1 6=1152 7=128\nConvolution Conv_210 1 1 934 937 0=128 1=1 5=1 6=16384\nSwish Mul_212 1 1 937 660\nConcat Concat_213 2 1 649 660 661\nShuffleChannel Reshape_218 1 1 661 666 0=2\nSlice Split_219 1 2 666 667 668 -23300=2,128,-233\nConvolution Conv_220 1 1 668 940 0=128 1=1 5=1 6=16384\nSwish Mul_222 1 1 940 672\nConvolutionDepthWise Conv_223 1 1 672 943 0=128 1=3 4=1 5=1 6=1152 7=128\nConvolution Conv_224 1 1 943 946 0=128 1=1 5=1 6=16384\nSwish Mul_226 1 1 946 678\nConcat Concat_227 2 1 667 678 679\nShuffleChannel Reshape_232 1 1 679 684 0=2\nSlice Split_233 1 2 684 685 686 -23300=2,128,-233\nConvolution Conv_234 1 1 686 949 0=128 1=1 5=1 6=16384\nSwish Mul_236 1 1 949 690\nConvolutionDepthWise Conv_237 1 1 690 952 0=128 1=3 4=1 5=1 6=1152 7=128\nConvolution Conv_238 1 1 952 955 0=128 1=1 5=1 6=16384\nSwish Mul_240 1 1 955 696\nConcat Concat_241 2 1 685 696 697\nShuffleChannel Reshape_246 1 1 697 702 0=2\nConvolution Conv_247 1 1 702 703 0=64 1=1 5=1 6=16384\nSwish Mul_249 1 1 703 705\nSplit splitncnn_4 1 2 705 705_splitncnn_0 705_splitncnn_1\nInterp Resize_251 1 1 705_splitncnn_1 710 0=1 1=2.000000e+00 2=2.000000e+00\nConcat Concat_252 2 1 710 626_splitncnn_0 711\nSplit splitncnn_5 1 2 711 711_splitncnn_0 711_splitncnn_1\nConvolution Conv_253 1 1 711_splitncnn_1 712 0=32 1=1 5=1 6=6144\nSwish Mul_255 1 1 712 714\nConvolution Conv_256 1 1 714 715 0=32 1=1 5=1 6=1024\nSwish Mul_258 1 1 715 717\nConvolution Conv_259 1 1 717 718 0=32 1=3 4=1 5=1 6=9216\nSwish Mul_261 1 1 718 720\nConvolution Conv_262 1 1 711_splitncnn_0 721 0=32 1=1 5=1 6=6144\nSwish Mul_264 1 1 721 723\nConcat Concat_265 2 1 720 723 724\nConvolution Conv_266 1 1 724 725 0=64 1=1 5=1 6=4096\nSwish Mul_268 1 1 725 727\nConvolution Conv_269 1 1 727 728 0=64 1=1 5=1 6=4096\nSwish Mul_271 1 1 728 730\nSplit splitncnn_6 1 2 730 730_splitncnn_0 730_splitncnn_1\nInterp Resize_273 1 1 730_splitncnn_1 735 0=1 1=2.000000e+00 2=2.000000e+00\nConcat Concat_274 2 1 735 478_splitncnn_0 736\nSplit splitncnn_7 1 2 736 736_splitncnn_0 736_splitncnn_1\nConvolution Conv_275 1 1 736_splitncnn_1 737 0=32 1=1 5=1 6=4096\nSwish Mul_277 1 1 737 739\nConvolution Conv_278 1 1 739 740 0=32 1=1 5=1 6=1024\nSwish Mul_280 1 1 740 742\nConvolution Conv_281 1 1 742 743 0=32 1=3 4=1 5=1 6=9216\nSwish Mul_283 1 1 743 745\nConvolution Conv_284 1 1 736_splitncnn_0 746 0=32 1=1 5=1 6=4096\nSwish Mul_286 1 1 746 748\nConcat Concat_287 2 1 745 748 749\nConvolution Conv_288 1 1 749 750 0=64 1=1 5=1 6=4096\nSwish Mul_290 1 1 750 752\nSplit splitncnn_8 1 2 752 752_splitncnn_0 752_splitncnn_1\nConvolution Conv_291 1 1 752_splitncnn_1 753 0=64 1=3 3=2 4=1 5=1 6=36864\nSwish Mul_293 1 1 753 755\nConcat Concat_294 2 1 755 730_splitncnn_0 756\nSplit splitncnn_9 1 2 756 756_splitncnn_0 756_splitncnn_1\nConvolution Conv_295 1 1 756_splitncnn_1 757 0=32 1=1 5=1 6=4096\nSwish Mul_297 1 1 757 759\nConvolution Conv_298 1 1 759 760 0=32 1=1 5=1 6=1024\nSwish Mul_300 1 1 760 762\nConvolution Conv_301 1 1 762 763 0=32 1=3 4=1 5=1 6=9216\nSwish Mul_303 1 1 763 765\nConvolution Conv_304 1 1 756_splitncnn_0 766 0=32 1=1 5=1 6=4096\nSwish Mul_306 1 1 766 768\nConcat Concat_307 2 1 765 768 769\nConvolution Conv_308 1 1 769 770 0=64 1=1 5=1 6=4096\nSwish Mul_310 1 1 770 772\nSplit splitncnn_10 1 2 772 772_splitncnn_0 772_splitncnn_1\nConvolution Conv_311 1 1 772_splitncnn_1 773 0=64 1=3 3=2 4=1 5=1 6=36864\nSwish Mul_313 1 1 773 775\nConcat Concat_314 2 1 775 705_splitncnn_0 776\nSplit splitncnn_11 1 2 776 776_splitncnn_0 776_splitncnn_1\nConvolution Conv_315 1 1 776_splitncnn_1 777 0=32 1=1 5=1 6=4096\nSwish Mul_317 1 1 777 779\nConvolution Conv_318 1 1 779 780 0=32 1=1 5=1 6=1024\nSwish Mul_320 1 1 780 782\nConvolution Conv_321 1 1 782 783 0=32 1=3 4=1 5=1 6=9216\nSwish Mul_323 1 1 783 785\nConvolution Conv_324 1 1 776_splitncnn_0 786 0=32 1=1 5=1 6=4096\nSwish Mul_326 1 1 786 788\nConcat Concat_327 2 1 785 788 789\nConvolution Conv_328 1 1 789 790 0=64 1=1 5=1 6=4096\nSwish Mul_330 1 1 790 792\nConvolution Conv_331 1 1 752_splitncnn_0 stride_8 0=48 1=1 5=1 6=3072\nConvolution Conv_332 1 1 772_splitncnn_0 stride_16 0=48 1=1 5=1 6=3072\nConvolution Conv_333 1 1 792 stride_32 0=48 1=1 5=1 6=3072\nReshape Reshape_573 1 1 stride_8 980 0=-1 1=16 2=3\nPermute Transpose_574 1 1 980 981 0=1\nReshape Reshape_589 1 1 stride_16 982 0=-1 1=16 2=3\nPermute Transpose_590 1 1 982 983 0=1\nReshape Reshape_605 1 1 stride_32 984 0=-1 1=16 2=3\nPermute Transpose_606 1 1 984 985 0=1" }, { "path": "ncnn-android-yolov5_face/app/src/main/assets/yolov5n.param", "content": "7767517\n224 251\nInput data 0 1 data\nConvolution Conv_0 1 1 data 389 0=32 1=3 3=2 4=1 5=1 6=864\nSwish Mul_2 1 1 389 391\nSplit splitncnn_0 1 2 391 391_splitncnn_0 391_splitncnn_1\nConvolution Conv_3 1 1 391_splitncnn_1 392 0=16 1=1 5=1 6=512\nSwish Mul_5 1 1 392 394\nConvolution Conv_6 1 1 394 395 0=32 1=3 3=2 4=1 5=1 6=4608\nSwish Mul_8 1 1 395 397\nPooling MaxPool_9 1 1 391_splitncnn_0 398 1=2 2=2\nConcat Concat_10 2 1 397 398 399\nConvolution Conv_11 1 1 399 400 0=32 1=1 5=1 6=2048\nSwish Mul_13 1 1 400 402\nSplit splitncnn_1 1 2 402 402_splitncnn_0 402_splitncnn_1\nConvolutionDepthWise Conv_14 1 1 402_splitncnn_1 796 0=32 1=3 3=2 4=1 5=1 6=288 7=32\nConvolution Conv_15 1 1 796 799 0=64 1=1 5=1 6=2048\nSwish Mul_17 1 1 799 408\nConvolution Conv_18 1 1 402_splitncnn_0 802 0=64 1=1 5=1 6=2048\nSwish Mul_20 1 1 802 412\nConvolutionDepthWise Conv_21 1 1 412 805 0=64 1=3 3=2 4=1 5=1 6=576 7=64\nConvolution Conv_22 1 1 805 808 0=64 1=1 5=1 6=4096\nSwish Mul_24 1 1 808 418\nConcat Concat_25 2 1 408 418 419\nShuffleChannel Reshape_30 1 1 419 424 0=2\nSlice Split_31 1 2 424 425 426 -23300=2,64,-233\nConvolution Conv_32 1 1 426 811 0=64 1=1 5=1 6=4096\nSwish Mul_34 1 1 811 430\nConvolutionDepthWise Conv_35 1 1 430 814 0=64 1=3 4=1 5=1 6=576 7=64\nConvolution Conv_36 1 1 814 817 0=64 1=1 5=1 6=4096\nSwish Mul_38 1 1 817 436\nConcat Concat_39 2 1 425 436 437\nShuffleChannel Reshape_44 1 1 437 442 0=2\nSlice Split_45 1 2 442 443 444 -23300=2,64,-233\nConvolution Conv_46 1 1 444 820 0=64 1=1 5=1 6=4096\nSwish Mul_48 1 1 820 448\nConvolutionDepthWise Conv_49 1 1 448 823 0=64 1=3 4=1 5=1 6=576 7=64\nConvolution Conv_50 1 1 823 826 0=64 1=1 5=1 6=4096\nSwish Mul_52 1 1 826 454\nConcat Concat_53 2 1 443 454 455\nShuffleChannel Reshape_58 1 1 455 460 0=2\nSlice Split_59 1 2 460 461 462 -23300=2,64,-233\nConvolution Conv_60 1 1 462 829 0=64 1=1 5=1 6=4096\nSwish Mul_62 1 1 829 466\nConvolutionDepthWise Conv_63 1 1 466 832 0=64 1=3 4=1 5=1 6=576 7=64\nConvolution Conv_64 1 1 832 835 0=64 1=1 5=1 6=4096\nSwish Mul_66 1 1 835 472\nConcat Concat_67 2 1 461 472 473\nShuffleChannel Reshape_72 1 1 473 478 0=2\nSplit splitncnn_2 1 3 478 478_splitncnn_0 478_splitncnn_1 478_splitncnn_2\nConvolutionDepthWise Conv_73 1 1 478_splitncnn_2 838 0=128 1=3 3=2 4=1 5=1 6=1152 7=128\nConvolution Conv_74 1 1 838 841 0=128 1=1 5=1 6=16384\nSwish Mul_76 1 1 841 484\nConvolution Conv_77 1 1 478_splitncnn_1 844 0=128 1=1 5=1 6=16384\nSwish Mul_79 1 1 844 488\nConvolutionDepthWise Conv_80 1 1 488 847 0=128 1=3 3=2 4=1 5=1 6=1152 7=128\nConvolution Conv_81 1 1 847 850 0=128 1=1 5=1 6=16384\nSwish Mul_83 1 1 850 494\nConcat Concat_84 2 1 484 494 495\nShuffleChannel Reshape_89 1 1 495 500 0=2\nSlice Split_90 1 2 500 501 502 -23300=2,128,-233\nConvolution Conv_91 1 1 502 853 0=128 1=1 5=1 6=16384\nSwish Mul_93 1 1 853 506\nConvolutionDepthWise Conv_94 1 1 506 856 0=128 1=3 4=1 5=1 6=1152 7=128\nConvolution Conv_95 1 1 856 859 0=128 1=1 5=1 6=16384\nSwish Mul_97 1 1 859 512\nConcat Concat_98 2 1 501 512 513\nShuffleChannel Reshape_103 1 1 513 518 0=2\nSlice Split_104 1 2 518 519 520 -23300=2,128,-233\nConvolution Conv_105 1 1 520 862 0=128 1=1 5=1 6=16384\nSwish Mul_107 1 1 862 524\nConvolutionDepthWise Conv_108 1 1 524 865 0=128 1=3 4=1 5=1 6=1152 7=128\nConvolution Conv_109 1 1 865 868 0=128 1=1 5=1 6=16384\nSwish Mul_111 1 1 868 530\nConcat Concat_112 2 1 519 530 531\nShuffleChannel Reshape_117 1 1 531 536 0=2\nSlice Split_118 1 2 536 537 538 -23300=2,128,-233\nConvolution Conv_119 1 1 538 871 0=128 1=1 5=1 6=16384\nSwish Mul_121 1 1 871 542\nConvolutionDepthWise Conv_122 1 1 542 874 0=128 1=3 4=1 5=1 6=1152 7=128\nConvolution Conv_123 1 1 874 877 0=128 1=1 5=1 6=16384\nSwish Mul_125 1 1 877 548\nConcat Concat_126 2 1 537 548 549\nShuffleChannel Reshape_131 1 1 549 554 0=2\nSlice Split_132 1 2 554 555 556 -23300=2,128,-233\nConvolution Conv_133 1 1 556 880 0=128 1=1 5=1 6=16384\nSwish Mul_135 1 1 880 560\nConvolutionDepthWise Conv_136 1 1 560 883 0=128 1=3 4=1 5=1 6=1152 7=128\nConvolution Conv_137 1 1 883 886 0=128 1=1 5=1 6=16384\nSwish Mul_139 1 1 886 566\nConcat Concat_140 2 1 555 566 567\nShuffleChannel Reshape_145 1 1 567 572 0=2\nSlice Split_146 1 2 572 573 574 -23300=2,128,-233\nConvolution Conv_147 1 1 574 889 0=128 1=1 5=1 6=16384\nSwish Mul_149 1 1 889 578\nConvolutionDepthWise Conv_150 1 1 578 892 0=128 1=3 4=1 5=1 6=1152 7=128\nConvolution Conv_151 1 1 892 895 0=128 1=1 5=1 6=16384\nSwish Mul_153 1 1 895 584\nConcat Concat_154 2 1 573 584 585\nShuffleChannel Reshape_159 1 1 585 590 0=2\nSlice Split_160 1 2 590 591 592 -23300=2,128,-233\nConvolution Conv_161 1 1 592 898 0=128 1=1 5=1 6=16384\nSwish Mul_163 1 1 898 596\nConvolutionDepthWise Conv_164 1 1 596 901 0=128 1=3 4=1 5=1 6=1152 7=128\nConvolution Conv_165 1 1 901 904 0=128 1=1 5=1 6=16384\nSwish Mul_167 1 1 904 602\nConcat Concat_168 2 1 591 602 603\nShuffleChannel Reshape_173 1 1 603 608 0=2\nSlice Split_174 1 2 608 609 610 -23300=2,128,-233\nConvolution Conv_175 1 1 610 907 0=128 1=1 5=1 6=16384\nSwish Mul_177 1 1 907 614\nConvolutionDepthWise Conv_178 1 1 614 910 0=128 1=3 4=1 5=1 6=1152 7=128\nConvolution Conv_179 1 1 910 913 0=128 1=1 5=1 6=16384\nSwish Mul_181 1 1 913 620\nConcat Concat_182 2 1 609 620 621\nShuffleChannel Reshape_187 1 1 621 626 0=2\nSplit splitncnn_3 1 3 626 626_splitncnn_0 626_splitncnn_1 626_splitncnn_2\nConvolutionDepthWise Conv_188 1 1 626_splitncnn_2 916 0=256 1=3 3=2 4=1 5=1 6=2304 7=256\nConvolution Conv_189 1 1 916 919 0=256 1=1 5=1 6=65536\nSwish Mul_191 1 1 919 632\nConvolution Conv_192 1 1 626_splitncnn_1 922 0=256 1=1 5=1 6=65536\nSwish Mul_194 1 1 922 636\nConvolutionDepthWise Conv_195 1 1 636 925 0=256 1=3 3=2 4=1 5=1 6=2304 7=256\nConvolution Conv_196 1 1 925 928 0=256 1=1 5=1 6=65536\nSwish Mul_198 1 1 928 642\nConcat Concat_199 2 1 632 642 643\nShuffleChannel Reshape_204 1 1 643 648 0=2\nSlice Split_205 1 2 648 649 650 -23300=2,256,-233\nConvolution Conv_206 1 1 650 931 0=256 1=1 5=1 6=65536\nSwish Mul_208 1 1 931 654\nConvolutionDepthWise Conv_209 1 1 654 934 0=256 1=3 4=1 5=1 6=2304 7=256\nConvolution Conv_210 1 1 934 937 0=256 1=1 5=1 6=65536\nSwish Mul_212 1 1 937 660\nConcat Concat_213 2 1 649 660 661\nShuffleChannel Reshape_218 1 1 661 666 0=2\nSlice Split_219 1 2 666 667 668 -23300=2,256,-233\nConvolution Conv_220 1 1 668 940 0=256 1=1 5=1 6=65536\nSwish Mul_222 1 1 940 672\nConvolutionDepthWise Conv_223 1 1 672 943 0=256 1=3 4=1 5=1 6=2304 7=256\nConvolution Conv_224 1 1 943 946 0=256 1=1 5=1 6=65536\nSwish Mul_226 1 1 946 678\nConcat Concat_227 2 1 667 678 679\nShuffleChannel Reshape_232 1 1 679 684 0=2\nSlice Split_233 1 2 684 685 686 -23300=2,256,-233\nConvolution Conv_234 1 1 686 949 0=256 1=1 5=1 6=65536\nSwish Mul_236 1 1 949 690\nConvolutionDepthWise Conv_237 1 1 690 952 0=256 1=3 4=1 5=1 6=2304 7=256\nConvolution Conv_238 1 1 952 955 0=256 1=1 5=1 6=65536\nSwish Mul_240 1 1 955 696\nConcat Concat_241 2 1 685 696 697\nShuffleChannel Reshape_246 1 1 697 702 0=2\nConvolution Conv_247 1 1 702 703 0=128 1=1 5=1 6=65536\nSwish Mul_249 1 1 703 705\nSplit splitncnn_4 1 2 705 705_splitncnn_0 705_splitncnn_1\nInterp Resize_251 1 1 705_splitncnn_1 710 0=1 1=2.000000e+00 2=2.000000e+00\nConcat Concat_252 2 1 710 626_splitncnn_0 711\nSplit splitncnn_5 1 2 711 711_splitncnn_0 711_splitncnn_1\nConvolution Conv_253 1 1 711_splitncnn_1 712 0=64 1=1 5=1 6=24576\nSwish Mul_255 1 1 712 714\nConvolution Conv_256 1 1 714 715 0=64 1=1 5=1 6=4096\nSwish Mul_258 1 1 715 717\nConvolution Conv_259 1 1 717 718 0=64 1=3 4=1 5=1 6=36864\nSwish Mul_261 1 1 718 720\nConvolution Conv_262 1 1 711_splitncnn_0 721 0=64 1=1 5=1 6=24576\nSwish Mul_264 1 1 721 723\nConcat Concat_265 2 1 720 723 724\nConvolution Conv_266 1 1 724 725 0=128 1=1 5=1 6=16384\nSwish Mul_268 1 1 725 727\nConvolution Conv_269 1 1 727 728 0=128 1=1 5=1 6=16384\nSwish Mul_271 1 1 728 730\nSplit splitncnn_6 1 2 730 730_splitncnn_0 730_splitncnn_1\nInterp Resize_273 1 1 730_splitncnn_1 735 0=1 1=2.000000e+00 2=2.000000e+00\nConcat Concat_274 2 1 735 478_splitncnn_0 736\nSplit splitncnn_7 1 2 736 736_splitncnn_0 736_splitncnn_1\nConvolution Conv_275 1 1 736_splitncnn_1 737 0=64 1=1 5=1 6=16384\nSwish Mul_277 1 1 737 739\nConvolution Conv_278 1 1 739 740 0=64 1=1 5=1 6=4096\nSwish Mul_280 1 1 740 742\nConvolution Conv_281 1 1 742 743 0=64 1=3 4=1 5=1 6=36864\nSwish Mul_283 1 1 743 745\nConvolution Conv_284 1 1 736_splitncnn_0 746 0=64 1=1 5=1 6=16384\nSwish Mul_286 1 1 746 748\nConcat Concat_287 2 1 745 748 749\nConvolution Conv_288 1 1 749 750 0=128 1=1 5=1 6=16384\nSwish Mul_290 1 1 750 752\nSplit splitncnn_8 1 2 752 752_splitncnn_0 752_splitncnn_1\nConvolution Conv_291 1 1 752_splitncnn_1 753 0=128 1=3 3=2 4=1 5=1 6=147456\nSwish Mul_293 1 1 753 755\nConcat Concat_294 2 1 755 730_splitncnn_0 756\nSplit splitncnn_9 1 2 756 756_splitncnn_0 756_splitncnn_1\nConvolution Conv_295 1 1 756_splitncnn_1 757 0=64 1=1 5=1 6=16384\nSwish Mul_297 1 1 757 759\nConvolution Conv_298 1 1 759 760 0=64 1=1 5=1 6=4096\nSwish Mul_300 1 1 760 762\nConvolution Conv_301 1 1 762 763 0=64 1=3 4=1 5=1 6=36864\nSwish Mul_303 1 1 763 765\nConvolution Conv_304 1 1 756_splitncnn_0 766 0=64 1=1 5=1 6=16384\nSwish Mul_306 1 1 766 768\nConcat Concat_307 2 1 765 768 769\nConvolution Conv_308 1 1 769 770 0=128 1=1 5=1 6=16384\nSwish Mul_310 1 1 770 772\nSplit splitncnn_10 1 2 772 772_splitncnn_0 772_splitncnn_1\nConvolution Conv_311 1 1 772_splitncnn_1 773 0=128 1=3 3=2 4=1 5=1 6=147456\nSwish Mul_313 1 1 773 775\nConcat Concat_314 2 1 775 705_splitncnn_0 776\nSplit splitncnn_11 1 2 776 776_splitncnn_0 776_splitncnn_1\nConvolution Conv_315 1 1 776_splitncnn_1 777 0=64 1=1 5=1 6=16384\nSwish Mul_317 1 1 777 779\nConvolution Conv_318 1 1 779 780 0=64 1=1 5=1 6=4096\nSwish Mul_320 1 1 780 782\nConvolution Conv_321 1 1 782 783 0=64 1=3 4=1 5=1 6=36864\nSwish Mul_323 1 1 783 785\nConvolution Conv_324 1 1 776_splitncnn_0 786 0=64 1=1 5=1 6=16384\nSwish Mul_326 1 1 786 788\nConcat Concat_327 2 1 785 788 789\nConvolution Conv_328 1 1 789 790 0=128 1=1 5=1 6=16384\nSwish Mul_330 1 1 790 792\nConvolution Conv_331 1 1 752_splitncnn_0 stride_8 0=48 1=1 5=1 6=6144\nConvolution Conv_332 1 1 772_splitncnn_0 stride_16 0=48 1=1 5=1 6=6144\nConvolution Conv_333 1 1 792 stride_32 0=48 1=1 5=1 6=6144\nReshape Reshape_573 1 1 stride_8 980 0=-1 1=16 2=3\nPermute Transpose_574 1 1 980 981 0=1\nReshape Reshape_589 1 1 stride_16 982 0=-1 1=16 2=3\nPermute Transpose_590 1 1 982 983 0=1\nReshape Reshape_605 1 1 stride_32 984 0=-1 1=16 2=3\nPermute Transpose_606 1 1 984 985 0=1\n" }, { "path": "ncnn-android-yolov5_face/app/src/main/java/com/tencent/ncnnyoloface/MainActivity.java", "content": "// Tencent is pleased to support the open source community by making ncnn available.\n//\n// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.\n//\n// Licensed under the BSD 3-Clause License (the \"License\"); you may not use this file except\n// in compliance with the License. You may obtain a copy of the License at\n//\n// https://opensource.org/licenses/BSD-3-Clause\n//\n// Unless required by applicable law or agreed to in writing, software distributed\n// under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR\n// CONDITIONS OF ANY KIND, either express or implied. See the License for the\n// specific language governing permissions and limitations under the License.\n\npackage com.tencent.ncnnyoloface;\n\nimport android.Manifest;\nimport android.app.Activity;\nimport android.content.pm.PackageManager;\nimport android.graphics.PixelFormat;\nimport android.os.Bundle;\nimport android.util.Log;\nimport android.view.Surface;\nimport android.view.SurfaceHolder;\nimport android.view.SurfaceView;\nimport android.view.View;\nimport android.view.WindowManager;\nimport android.widget.AdapterView;\nimport android.widget.Button;\nimport android.widget.Spinner;\n\nimport android.support.v4.app.ActivityCompat;\nimport android.support.v4.content.ContextCompat;\n\npublic class MainActivity extends Activity implements SurfaceHolder.Callback\n{\n public static final int REQUEST_CAMERA = 100;\n\n private NcnnYoloFace ncnnyoloface = new NcnnYoloFace();\n private int facing = 0;\n\n private Spinner spinnerModel;\n private Spinner spinnerCPUGPU;\n private int current_model = 0;\n private int current_cpugpu = 0;\n\n private SurfaceView cameraView;\n\n /** Called when the activity is first created. */\n @Override\n public void onCreate(Bundle savedInstanceState)\n {\n super.onCreate(savedInstanceState);\n setContentView(R.layout.main);\n\n getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON);\n\n cameraView = (SurfaceView) findViewById(R.id.cameraview);\n\n cameraView.getHolder().setFormat(PixelFormat.RGBA_8888);\n cameraView.getHolder().addCallback(this);\n\n Button buttonSwitchCamera = (Button) findViewById(R.id.buttonSwitchCamera);\n buttonSwitchCamera.setOnClickListener(new View.OnClickListener() {\n @Override\n public void onClick(View arg0) {\n\n int new_facing = 1 - facing;\n\n ncnnyoloface.closeCamera();\n\n ncnnyoloface.openCamera(new_facing);\n\n facing = new_facing;\n }\n });\n\n spinnerModel = (Spinner) findViewById(R.id.spinnerModel);\n spinnerModel.setOnItemSelectedListener(new AdapterView.OnItemSelectedListener() {\n @Override\n public void onItemSelected(AdapterView arg0, View arg1, int position, long id)\n {\n if (position != current_model)\n {\n current_model = position;\n reload();\n }\n }\n\n @Override\n public void onNothingSelected(AdapterView arg0)\n {\n }\n });\n\n spinnerCPUGPU = (Spinner) findViewById(R.id.spinnerCPUGPU);\n spinnerCPUGPU.setOnItemSelectedListener(new AdapterView.OnItemSelectedListener() {\n @Override\n public void onItemSelected(AdapterView arg0, View arg1, int position, long id)\n {\n if (position != current_cpugpu)\n {\n current_cpugpu = position;\n reload();\n }\n }\n\n @Override\n public void onNothingSelected(AdapterView arg0)\n {\n }\n });\n\n reload();\n }\n\n private void reload()\n {\n boolean ret_init = ncnnyoloface.loadModel(getAssets(), current_model, current_cpugpu);\n if (!ret_init)\n {\n Log.e(\"MainActivity\", \"ncnnyoloface loadModel failed\");\n }\n }\n\n @Override\n public void surfaceChanged(SurfaceHolder holder, int format, int width, int height)\n {\n ncnnyoloface.setOutputWindow(holder.getSurface());\n }\n\n @Override\n public void surfaceCreated(SurfaceHolder holder)\n {\n }\n\n @Override\n public void surfaceDestroyed(SurfaceHolder holder)\n {\n }\n\n @Override\n public void onResume()\n {\n super.onResume();\n\n if (ContextCompat.checkSelfPermission(getApplicationContext(), Manifest.permission.CAMERA) == PackageManager.PERMISSION_DENIED)\n {\n ActivityCompat.requestPermissions(this, new String[] {Manifest.permission.CAMERA}, REQUEST_CAMERA);\n }\n\n ncnnyoloface.openCamera(facing);\n }\n\n @Override\n public void onPause()\n {\n super.onPause();\n\n ncnnyoloface.closeCamera();\n }\n}\n" }, { "path": "ncnn-android-yolov5_face/app/src/main/java/com/tencent/ncnnyoloface/NcnnYoloFace.java", "content": "// Tencent is pleased to support the open source community by making ncnn available.\n//\n// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.\n//\n// Licensed under the BSD 3-Clause License (the \"License\"); you may not use this file except\n// in compliance with the License. You may obtain a copy of the License at\n//\n// https://opensource.org/licenses/BSD-3-Clause\n//\n// Unless required by applicable law or agreed to in writing, software distributed\n// under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR\n// CONDITIONS OF ANY KIND, either express or implied. See the License for the\n// specific language governing permissions and limitations under the License.\n\npackage com.tencent.ncnnyoloface;\n\nimport android.content.res.AssetManager;\nimport android.view.Surface;\n\npublic class NcnnYoloFace\n{\n public native boolean loadModel(AssetManager mgr, int modelid, int cpugpu);\n public native boolean openCamera(int facing);\n public native boolean closeCamera();\n public native boolean setOutputWindow(Surface surface);\n\n static {\n System.loadLibrary(\"ncnnyoloface\");\n }\n}\n" }, { "path": "ncnn-android-yolov5_face/app/src/main/jni/CMakeLists.txt", "content": "project(ncnnyoloface)\n\ncmake_minimum_required(VERSION 3.10)\n\nset(OpenCV_DIR ${CMAKE_SOURCE_DIR}/opencv-mobile-4.5.1-android/sdk/native/jni)\nfind_package(OpenCV REQUIRED core imgproc)\n\nset(ncnn_DIR ${CMAKE_SOURCE_DIR}/ncnn-20210322-android-vulkan/${ANDROID_ABI}/lib/cmake/ncnn)\nfind_package(ncnn REQUIRED)\n\nadd_library(ncnnyoloface SHARED yolofacencnn.cpp yoloface.cpp ndkcamera.cpp)\n\ntarget_link_libraries(ncnnyoloface ncnn ${OpenCV_LIBS} camera2ndk mediandk)\n" }, { "path": "ncnn-android-yolov5_face/app/src/main/jni/ndkcamera.cpp", "content": "// Tencent is pleased to support the open source community by making ncnn available.\n//\n// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.\n//\n// Licensed under the BSD 3-Clause License (the \"License\"); you may not use this file except\n// in compliance with the License. You may obtain a copy of the License at\n//\n// https://opensource.org/licenses/BSD-3-Clause\n//\n// Unless required by applicable law or agreed to in writing, software distributed\n// under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR\n// CONDITIONS OF ANY KIND, either express or implied. See the License for the\n// specific language governing permissions and limitations under the License.\n\n#include \"ndkcamera.h\"\n\n#include \n\n#include \n\n#include \n\n#include \"mat.h\"\n\nstatic void onDisconnected(void* context, ACameraDevice* device)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onDisconnected %p\", device);\n}\n\nstatic void onError(void* context, ACameraDevice* device, int error)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onError %p %d\", device, error);\n}\n\nstatic void onImageAvailable(void* context, AImageReader* reader)\n{\n// __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onImageAvailable %p\", reader);\n\n AImage* image = 0;\n media_status_t status = AImageReader_acquireLatestImage(reader, &image);\n\n if (status != AMEDIA_OK)\n {\n // error\n return;\n }\n\n int32_t format;\n AImage_getFormat(image, &format);\n\n // assert format == AIMAGE_FORMAT_YUV_420_888\n\n int32_t width = 0;\n int32_t height = 0;\n AImage_getWidth(image, &width);\n AImage_getHeight(image, &height);\n\n int32_t y_pixelStride = 0;\n int32_t u_pixelStride = 0;\n int32_t v_pixelStride = 0;\n AImage_getPlanePixelStride(image, 0, &y_pixelStride);\n AImage_getPlanePixelStride(image, 1, &u_pixelStride);\n AImage_getPlanePixelStride(image, 2, &v_pixelStride);\n\n int32_t y_rowStride = 0;\n int32_t u_rowStride = 0;\n int32_t v_rowStride = 0;\n AImage_getPlaneRowStride(image, 0, &y_rowStride);\n AImage_getPlaneRowStride(image, 1, &u_rowStride);\n AImage_getPlaneRowStride(image, 2, &v_rowStride);\n\n uint8_t* y_data = 0;\n uint8_t* u_data = 0;\n uint8_t* v_data = 0;\n int y_len = 0;\n int u_len = 0;\n int v_len = 0;\n AImage_getPlaneData(image, 0, &y_data, &y_len);\n AImage_getPlaneData(image, 1, &u_data, &u_len);\n AImage_getPlaneData(image, 2, &v_data, &v_len);\n\n if (u_data == v_data + 1 && v_data == y_data + width * height && y_pixelStride == 1 && u_pixelStride == 2 && v_pixelStride == 2 && y_rowStride == width && u_rowStride == width && v_rowStride == width)\n {\n // already nv21 :)\n ((NdkCamera*)context)->on_image((unsigned char*)y_data, (int)width, (int)height);\n }\n else\n {\n // construct nv21\n unsigned char* nv21 = new unsigned char[width * height + width * height / 2];\n {\n // Y\n unsigned char* yptr = nv21;\n for (int y=0; yon_image((unsigned char*)nv21, (int)width, (int)height);\n\n delete[] nv21;\n }\n\n AImage_delete(image);\n}\n\nstatic void onSessionActive(void* context, ACameraCaptureSession *session)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onSessionActive %p\", session);\n}\n\nstatic void onSessionReady(void* context, ACameraCaptureSession *session)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onSessionReady %p\", session);\n}\n\nstatic void onSessionClosed(void* context, ACameraCaptureSession *session)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onSessionClosed %p\", session);\n}\n\nvoid onCaptureFailed(void* context, ACameraCaptureSession* session, ACaptureRequest* request, ACameraCaptureFailure* failure)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onCaptureFailed %p %p %p\", session, request, failure);\n}\n\nvoid onCaptureSequenceCompleted(void* context, ACameraCaptureSession* session, int sequenceId, int64_t frameNumber)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onCaptureSequenceCompleted %p %d %ld\", session, sequenceId, frameNumber);\n}\n\nvoid onCaptureSequenceAborted(void* context, ACameraCaptureSession* session, int sequenceId)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onCaptureSequenceAborted %p %d\", session, sequenceId);\n}\n\nvoid onCaptureCompleted(void* context, ACameraCaptureSession* session, ACaptureRequest* request, const ACameraMetadata* result)\n{\n// __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onCaptureCompleted %p %p %p\", session, request, result);\n}\n\nNdkCamera::NdkCamera()\n{\n camera_facing = 0;\n camera_orientation = 0;\n\n camera_manager = 0;\n camera_device = 0;\n image_reader = 0;\n image_reader_surface = 0;\n image_reader_target = 0;\n capture_request = 0;\n capture_session_output_container = 0;\n capture_session_output = 0;\n capture_session = 0;\n\n\n // setup imagereader and its surface\n {\n AImageReader_new(640, 480, AIMAGE_FORMAT_YUV_420_888, /*maxImages*/2, &image_reader);\n\n AImageReader_ImageListener listener;\n listener.context = this;\n listener.onImageAvailable = onImageAvailable;\n\n AImageReader_setImageListener(image_reader, &listener);\n\n AImageReader_getWindow(image_reader, &image_reader_surface);\n\n ANativeWindow_acquire(image_reader_surface);\n }\n}\n\nNdkCamera::~NdkCamera()\n{\n close();\n\n if (image_reader)\n {\n AImageReader_delete(image_reader);\n image_reader = 0;\n }\n\n if (image_reader_surface)\n {\n ANativeWindow_release(image_reader_surface);\n image_reader_surface = 0;\n }\n}\n\nint NdkCamera::open(int _camera_facing)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"open\");\n\n camera_facing = _camera_facing;\n\n camera_manager = ACameraManager_create();\n\n // find front camera\n std::string camera_id;\n {\n ACameraIdList* camera_id_list = 0;\n ACameraManager_getCameraIdList(camera_manager, &camera_id_list);\n\n for (int i = 0; i < camera_id_list->numCameras; ++i)\n {\n const char* id = camera_id_list->cameraIds[i];\n ACameraMetadata* camera_metadata = 0;\n ACameraManager_getCameraCharacteristics(camera_manager, id, &camera_metadata);\n\n // query faceing\n acamera_metadata_enum_android_lens_facing_t facing = ACAMERA_LENS_FACING_FRONT;\n {\n ACameraMetadata_const_entry e = { 0 };\n ACameraMetadata_getConstEntry(camera_metadata, ACAMERA_LENS_FACING, &e);\n facing = (acamera_metadata_enum_android_lens_facing_t)e.data.u8[0];\n }\n\n if (camera_facing == 0 && facing != ACAMERA_LENS_FACING_FRONT)\n {\n ACameraMetadata_free(camera_metadata);\n continue;\n }\n\n if (camera_facing == 1 && facing != ACAMERA_LENS_FACING_BACK)\n {\n ACameraMetadata_free(camera_metadata);\n continue;\n }\n\n camera_id = id;\n\n // query orientation\n int orientation = 0;\n {\n ACameraMetadata_const_entry e = { 0 };\n ACameraMetadata_getConstEntry(camera_metadata, ACAMERA_SENSOR_ORIENTATION, &e);\n\n orientation = (int)e.data.i32[0];\n }\n\n camera_orientation = orientation;\n\n ACameraMetadata_free(camera_metadata);\n\n break;\n }\n\n ACameraManager_deleteCameraIdList(camera_id_list);\n }\n\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"open %s %d\", camera_id.c_str(), camera_orientation);\n\n // open camera\n {\n ACameraDevice_StateCallbacks camera_device_state_callbacks;\n camera_device_state_callbacks.context = this;\n camera_device_state_callbacks.onDisconnected = onDisconnected;\n camera_device_state_callbacks.onError = onError;\n\n ACameraManager_openCamera(camera_manager, camera_id.c_str(), &camera_device_state_callbacks, &camera_device);\n }\n\n // capture request\n {\n ACameraDevice_createCaptureRequest(camera_device, TEMPLATE_PREVIEW, &capture_request);\n\n ACameraOutputTarget_create(image_reader_surface, &image_reader_target);\n ACaptureRequest_addTarget(capture_request, image_reader_target);\n }\n\n // capture session\n {\n ACameraCaptureSession_stateCallbacks camera_capture_session_state_callbacks;\n camera_capture_session_state_callbacks.context = this;\n camera_capture_session_state_callbacks.onActive = onSessionActive;\n camera_capture_session_state_callbacks.onReady = onSessionReady;\n camera_capture_session_state_callbacks.onClosed = onSessionClosed;\n\n ACaptureSessionOutputContainer_create(&capture_session_output_container);\n\n ACaptureSessionOutput_create(image_reader_surface, &capture_session_output);\n\n ACaptureSessionOutputContainer_add(capture_session_output_container, capture_session_output);\n\n ACameraDevice_createCaptureSession(camera_device, capture_session_output_container, &camera_capture_session_state_callbacks, &capture_session);\n\n ACameraCaptureSession_captureCallbacks camera_capture_session_capture_callbacks;\n camera_capture_session_capture_callbacks.context = this;\n camera_capture_session_capture_callbacks.onCaptureStarted = 0;\n camera_capture_session_capture_callbacks.onCaptureProgressed = 0;\n camera_capture_session_capture_callbacks.onCaptureCompleted = onCaptureCompleted;\n camera_capture_session_capture_callbacks.onCaptureFailed = onCaptureFailed;\n camera_capture_session_capture_callbacks.onCaptureSequenceCompleted = onCaptureSequenceCompleted;\n camera_capture_session_capture_callbacks.onCaptureSequenceAborted = onCaptureSequenceAborted;\n camera_capture_session_capture_callbacks.onCaptureBufferLost = 0;\n\n ACameraCaptureSession_setRepeatingRequest(capture_session, &camera_capture_session_capture_callbacks, 1, &capture_request, nullptr);\n }\n\n return 0;\n}\n\nvoid NdkCamera::close()\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"close\");\n\n if (capture_session)\n {\n ACameraCaptureSession_stopRepeating(capture_session);\n ACameraCaptureSession_close(capture_session);\n capture_session = 0;\n }\n\n if (camera_device)\n {\n ACameraDevice_close(camera_device);\n camera_device = 0;\n }\n\n if (capture_session_output_container)\n {\n ACaptureSessionOutputContainer_free(capture_session_output_container);\n capture_session_output_container = 0;\n }\n\n if (capture_session_output)\n {\n ACaptureSessionOutput_free(capture_session_output);\n capture_session_output = 0;\n }\n\n if (capture_request)\n {\n ACaptureRequest_free(capture_request);\n capture_request = 0;\n }\n\n if (image_reader_target)\n {\n ACameraOutputTarget_free(image_reader_target);\n image_reader_target = 0;\n }\n\n if (camera_manager)\n {\n ACameraManager_delete(camera_manager);\n camera_manager = 0;\n }\n}\n\nvoid NdkCamera::on_image(const cv::Mat& rgb) const\n{\n}\n\nvoid NdkCamera::on_image(const unsigned char* nv21, int nv21_width, int nv21_height) const\n{\n // rotate nv21\n int w = 0;\n int h = 0;\n int rotate_type = 0;\n {\n if (camera_orientation == 0)\n {\n w = nv21_width;\n h = nv21_height;\n rotate_type = camera_facing == 0 ? 2 : 1;\n }\n if (camera_orientation == 90)\n {\n w = nv21_height;\n h = nv21_width;\n rotate_type = camera_facing == 0 ? 5 : 6;\n }\n if (camera_orientation == 180)\n {\n w = nv21_width;\n h = nv21_height;\n rotate_type = camera_facing == 0 ? 4 : 3;\n }\n if (camera_orientation == 270)\n {\n w = nv21_height;\n h = nv21_width;\n rotate_type = camera_facing == 0 ? 7 : 8;\n }\n }\n\n cv::Mat nv21_rotated(h + h / 2, w, CV_8UC1);\n ncnn::kanna_rotate_yuv420sp(nv21, nv21_width, nv21_height, nv21_rotated.data, w, h, rotate_type);\n\n // nv21_rotated to rgb\n cv::Mat rgb(h, w, CV_8UC3);\n ncnn::yuv420sp2rgb(nv21_rotated.data, w, h, rgb.data);\n\n on_image(rgb);\n}\n\nstatic const int NDKCAMERAWINDOW_ID = 233;\n\nNdkCameraWindow::NdkCameraWindow() : NdkCamera()\n{\n sensor_manager = 0;\n sensor_event_queue = 0;\n accelerometer_sensor = 0;\n win = 0;\n\n accelerometer_orientation = 0;\n\n // sensor\n sensor_manager = ASensorManager_getInstance();\n\n accelerometer_sensor = ASensorManager_getDefaultSensor(sensor_manager, ASENSOR_TYPE_ACCELEROMETER);\n}\n\nNdkCameraWindow::~NdkCameraWindow()\n{\n if (accelerometer_sensor)\n {\n ASensorEventQueue_disableSensor(sensor_event_queue, accelerometer_sensor);\n accelerometer_sensor = 0;\n }\n\n if (sensor_event_queue)\n {\n ASensorManager_destroyEventQueue(sensor_manager, sensor_event_queue);\n sensor_event_queue = 0;\n }\n\n if (win)\n {\n ANativeWindow_release(win);\n }\n}\n\nvoid NdkCameraWindow::set_window(ANativeWindow* _win)\n{\n if (win)\n {\n ANativeWindow_release(win);\n }\n\n win = _win;\n ANativeWindow_acquire(win);\n}\n\nvoid NdkCameraWindow::on_image_render(cv::Mat& rgb) const\n{\n}\n\nvoid NdkCameraWindow::on_image(const unsigned char* nv21, int nv21_width, int nv21_height) const\n{\n // resolve orientation from camera_orientation and accelerometer_sensor\n {\n if (!sensor_event_queue)\n {\n sensor_event_queue = ASensorManager_createEventQueue(sensor_manager, ALooper_prepare(ALOOPER_PREPARE_ALLOW_NON_CALLBACKS), NDKCAMERAWINDOW_ID, 0, 0);\n\n ASensorEventQueue_enableSensor(sensor_event_queue, accelerometer_sensor);\n }\n\n int id = ALooper_pollAll(0, 0, 0, 0);\n if (id == NDKCAMERAWINDOW_ID)\n {\n ASensorEvent e[8];\n ssize_t num_event = 0;\n while (ASensorEventQueue_hasEvents(sensor_event_queue) == 1)\n {\n num_event = ASensorEventQueue_getEvents(sensor_event_queue, e, 8);\n if (num_event < 0)\n break;\n }\n\n if (num_event > 0)\n {\n float acceleration_x = e[num_event - 1].acceleration.x;\n float acceleration_y = e[num_event - 1].acceleration.y;\n float acceleration_z = e[num_event - 1].acceleration.z;\n// __android_log_print(ANDROID_LOG_WARN, \"NdkCameraWindow\", \"x = %f, y = %f, z = %f\", x, y, z);\n\n if (acceleration_y > 7)\n {\n accelerometer_orientation = 0;\n }\n if (acceleration_x < -7)\n {\n accelerometer_orientation = 90;\n }\n if (acceleration_y < -7)\n {\n accelerometer_orientation = 180;\n }\n if (acceleration_x > 7)\n {\n accelerometer_orientation = 270;\n }\n }\n }\n }\n\n // roi crop and rotate nv21\n int nv21_roi_x = 0;\n int nv21_roi_y = 0;\n int nv21_roi_w = 0;\n int nv21_roi_h = 0;\n int roi_x = 0;\n int roi_y = 0;\n int roi_w = 0;\n int roi_h = 0;\n int rotate_type = 0;\n int render_w = 0;\n int render_h = 0;\n int render_rotate_type = 0;\n {\n int win_w = ANativeWindow_getWidth(win);\n int win_h = ANativeWindow_getHeight(win);\n\n if (accelerometer_orientation == 90 || accelerometer_orientation == 270)\n {\n std::swap(win_w, win_h);\n }\n\n const int final_orientation = (camera_orientation + accelerometer_orientation) % 360;\n\n if (final_orientation == 0 || final_orientation == 180)\n {\n if (win_w * nv21_height > win_h * nv21_width)\n {\n roi_w = nv21_width;\n roi_h = (nv21_width * win_h / win_w) / 2 * 2;\n roi_x = 0;\n roi_y = ((nv21_height - roi_h) / 2) / 2 * 2;\n }\n else\n {\n roi_h = nv21_height;\n roi_w = (nv21_height * win_w / win_h) / 2 * 2;\n roi_x = ((nv21_width - roi_w) / 2) / 2 * 2;\n roi_y = 0;\n }\n\n nv21_roi_x = roi_x;\n nv21_roi_y = roi_y;\n nv21_roi_w = roi_w;\n nv21_roi_h = roi_h;\n }\n if (final_orientation == 90 || final_orientation == 270)\n {\n if (win_w * nv21_width > win_h * nv21_height)\n {\n roi_w = nv21_height;\n roi_h = (nv21_height * win_h / win_w) / 2 * 2;\n roi_x = 0;\n roi_y = ((nv21_width - roi_h) / 2) / 2 * 2;\n }\n else\n {\n roi_h = nv21_width;\n roi_w = (nv21_width * win_w / win_h) / 2 * 2;\n roi_x = ((nv21_height - roi_w) / 2) / 2 * 2;\n roi_y = 0;\n }\n\n nv21_roi_x = roi_y;\n nv21_roi_y = roi_x;\n nv21_roi_w = roi_h;\n nv21_roi_h = roi_w;\n }\n\n if (camera_facing == 0)\n {\n if (camera_orientation == 0 && accelerometer_orientation == 0)\n {\n rotate_type = 2;\n }\n if (camera_orientation == 0 && accelerometer_orientation == 90)\n {\n rotate_type = 7;\n }\n if (camera_orientation == 0 && accelerometer_orientation == 180)\n {\n rotate_type = 4;\n }\n if (camera_orientation == 0 && accelerometer_orientation == 270)\n {\n rotate_type = 5;\n }\n if (camera_orientation == 90 && accelerometer_orientation == 0)\n {\n rotate_type = 5;\n }\n if (camera_orientation == 90 && accelerometer_orientation == 90)\n {\n rotate_type = 2;\n }\n if (camera_orientation == 90 && accelerometer_orientation == 180)\n {\n rotate_type = 7;\n }\n if (camera_orientation == 90 && accelerometer_orientation == 270)\n {\n rotate_type = 4;\n }\n if (camera_orientation == 180 && accelerometer_orientation == 0)\n {\n rotate_type = 4;\n }\n if (camera_orientation == 180 && accelerometer_orientation == 90)\n {\n rotate_type = 5;\n }\n if (camera_orientation == 180 && accelerometer_orientation == 180)\n {\n rotate_type = 2;\n }\n if (camera_orientation == 180 && accelerometer_orientation == 270)\n {\n rotate_type = 7;\n }\n if (camera_orientation == 270 && accelerometer_orientation == 0)\n {\n rotate_type = 7;\n }\n if (camera_orientation == 270 && accelerometer_orientation == 90)\n {\n rotate_type = 4;\n }\n if (camera_orientation == 270 && accelerometer_orientation == 180)\n {\n rotate_type = 5;\n }\n if (camera_orientation == 270 && accelerometer_orientation == 270)\n {\n rotate_type = 2;\n }\n }\n else\n {\n if (final_orientation == 0)\n {\n rotate_type = 1;\n }\n if (final_orientation == 90)\n {\n rotate_type = 6;\n }\n if (final_orientation == 180)\n {\n rotate_type = 3;\n }\n if (final_orientation == 270)\n {\n rotate_type = 8;\n }\n }\n\n if (accelerometer_orientation == 0)\n {\n render_w = roi_w;\n render_h = roi_h;\n render_rotate_type = 1;\n }\n if (accelerometer_orientation == 90)\n {\n render_w = roi_h;\n render_h = roi_w;\n render_rotate_type = 8;\n }\n if (accelerometer_orientation == 180)\n {\n render_w = roi_w;\n render_h = roi_h;\n render_rotate_type = 3;\n }\n if (accelerometer_orientation == 270)\n {\n render_w = roi_h;\n render_h = roi_w;\n render_rotate_type = 6;\n }\n }\n\n // crop and rotate nv21\n cv::Mat nv21_croprotated(roi_h + roi_h / 2, roi_w, CV_8UC1);\n {\n const unsigned char* srcY = nv21 + nv21_roi_y * nv21_width + nv21_roi_x;\n unsigned char* dstY = nv21_croprotated.data;\n ncnn::kanna_rotate_c1(srcY, nv21_roi_w, nv21_roi_h, nv21_width, dstY, roi_w, roi_h, roi_w, rotate_type);\n\n const unsigned char* srcUV = nv21 + nv21_width * nv21_height + nv21_roi_y * nv21_width / 2 + nv21_roi_x;\n unsigned char* dstUV = nv21_croprotated.data + roi_w * roi_h;\n ncnn::kanna_rotate_c2(srcUV, nv21_roi_w / 2, nv21_roi_h / 2, nv21_width, dstUV, roi_w / 2, roi_h / 2, roi_w, rotate_type);\n }\n\n // nv21_croprotated to rgb\n cv::Mat rgb(roi_h, roi_w, CV_8UC3);\n ncnn::yuv420sp2rgb(nv21_croprotated.data, roi_w, roi_h, rgb.data);\n\n on_image_render(rgb);\n\n // rotate to native window orientation\n cv::Mat rgb_render(render_h, render_w, CV_8UC3);\n ncnn::kanna_rotate_c3(rgb.data, roi_w, roi_h, rgb_render.data, render_w, render_h, render_rotate_type);\n\n ANativeWindow_setBuffersGeometry(win, render_w, render_h, AHARDWAREBUFFER_FORMAT_R8G8B8A8_UNORM);\n\n ANativeWindow_Buffer buf;\n ANativeWindow_lock(win, &buf, NULL);\n\n // scale to target size\n if (buf.format == AHARDWAREBUFFER_FORMAT_R8G8B8A8_UNORM || buf.format == AHARDWAREBUFFER_FORMAT_R8G8B8X8_UNORM)\n {\n for (int y = 0; y < render_h; y++)\n {\n const unsigned char* ptr = rgb_render.ptr(y);\n unsigned char* outptr = (unsigned char*)buf.bits + buf.stride * 4 * y;\n\n int x = 0;\n#if __ARM_NEON\n for (; x + 7 < render_w; x += 8)\n {\n uint8x8x3_t _rgb = vld3_u8(ptr);\n uint8x8x4_t _rgba;\n _rgba.val[0] = _rgb.val[0];\n _rgba.val[1] = _rgb.val[1];\n _rgba.val[2] = _rgb.val[2];\n _rgba.val[3] = vdup_n_u8(255);\n vst4_u8(outptr, _rgba);\n\n ptr += 24;\n outptr += 32;\n }\n#endif // __ARM_NEON\n for (; x < render_w; x++)\n {\n outptr[0] = ptr[0];\n outptr[1] = ptr[1];\n outptr[2] = ptr[2];\n outptr[3] = 255;\n\n ptr += 3;\n outptr += 4;\n }\n }\n }\n\n ANativeWindow_unlockAndPost(win);\n}\n" }, { "path": "ncnn-android-yolov5_face/app/src/main/jni/ndkcamera.h", "content": "// Tencent is pleased to support the open source community by making ncnn available.\n//\n// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.\n//\n// Licensed under the BSD 3-Clause License (the \"License\"); you may not use this file except\n// in compliance with the License. You may obtain a copy of the License at\n//\n// https://opensource.org/licenses/BSD-3-Clause\n//\n// Unless required by applicable law or agreed to in writing, software distributed\n// under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR\n// CONDITIONS OF ANY KIND, either express or implied. See the License for the\n// specific language governing permissions and limitations under the License.\n\n#ifndef NDKCAMERA_H\n#define NDKCAMERA_H\n\n#include \n#include \n#include \n#include \n#include \n#include \n#include \n\n#include \n\nclass NdkCamera\n{\npublic:\n NdkCamera();\n virtual ~NdkCamera();\n\n // facing 0=front 1=back\n int open(int camera_facing = 0);\n void close();\n\n virtual void on_image(const cv::Mat& rgb) const;\n\n virtual void on_image(const unsigned char* nv21, int nv21_width, int nv21_height) const;\n\npublic:\n int camera_facing;\n int camera_orientation;\n\nprivate:\n ACameraManager* camera_manager;\n ACameraDevice* camera_device;\n AImageReader* image_reader;\n ANativeWindow* image_reader_surface;\n ACameraOutputTarget* image_reader_target;\n ACaptureRequest* capture_request;\n ACaptureSessionOutputContainer* capture_session_output_container;\n ACaptureSessionOutput* capture_session_output;\n ACameraCaptureSession* capture_session;\n};\n\nclass NdkCameraWindow : public NdkCamera\n{\npublic:\n NdkCameraWindow();\n virtual ~NdkCameraWindow();\n\n void set_window(ANativeWindow* win);\n\n virtual void on_image_render(cv::Mat& rgb) const;\n\n virtual void on_image(const unsigned char* nv21, int nv21_width, int nv21_height) const;\n\npublic:\n mutable int accelerometer_orientation;\n\nprivate:\n ASensorManager* sensor_manager;\n mutable ASensorEventQueue* sensor_event_queue;\n const ASensor* accelerometer_sensor;\n ANativeWindow* win;\n};\n\n#endif // NDKCAMERA_H\n" }, { "path": "ncnn-android-yolov5_face/app/src/main/jni/yoloface.cpp", "content": "// Tencent is pleased to support the open source community by making ncnn available.\n//\n// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.\n//\n// Licensed under the BSD 3-Clause License (the \"License\"); you may not use this file except\n// in compliance with the License. You may obtain a copy of the License at\n//\n// https://opensource.org/licenses/BSD-3-Clause\n//\n// Unless required by applicable law or agreed to in writing, software distributed\n// under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR\n// CONDITIONS OF ANY KIND, either express or implied. See the License for the\n// specific language governing permissions and limitations under the License.\n\n#include \"yoloface.h\"\n\n#include \n#include \n\n#include \"cpu.h\"\n#define clip(x, y) (x < 0 ? 0 : (x > y ? y : x))\n\n\nstatic inline float intersection_area(const Object& a, const Object& b)\n{\n cv::Rect_ inter = a.rect & b.rect;\n return inter.area();\n}\n\nstatic void qsort_descent_inplace(std::vector& faceobjects, int left, int right)\n{\n int i = left;\n int j = right;\n float p = faceobjects[(left + right) / 2].prob;\n\n while (i <= j)\n {\n while (faceobjects[i].prob > p)\n i++;\n\n while (faceobjects[j].prob < p)\n j--;\n\n if (i <= j)\n {\n // swap\n std::swap(faceobjects[i], faceobjects[j]);\n\n i++;\n j--;\n }\n }\n\n #pragma omp parallel sections\n {\n #pragma omp section\n {\n if (left < j) qsort_descent_inplace(faceobjects, left, j);\n }\n #pragma omp section\n {\n if (i < right) qsort_descent_inplace(faceobjects, i, right);\n }\n }\n}\n\nstatic void qsort_descent_inplace(std::vector& faceobjects)\n{\n if (faceobjects.empty())\n return;\n\n qsort_descent_inplace(faceobjects, 0, faceobjects.size() - 1);\n}\n\nstatic void nms_sorted_bboxes(const std::vector& faceobjects, std::vector& picked, float nms_threshold)\n{\n picked.clear();\n\n const int n = faceobjects.size();\n\n std::vector areas(n);\n for (int i = 0; i < n; i++)\n {\n areas[i] = faceobjects[i].rect.area();\n }\n\n for (int i = 0; i < n; i++)\n {\n const Object& a = faceobjects[i];\n\n int keep = 1;\n for (int j = 0; j < (int)picked.size(); j++)\n {\n const Object& b = faceobjects[picked[j]];\n\n // intersection over union\n float inter_area = intersection_area(a, b);\n float union_area = areas[i] + areas[picked[j]] - inter_area;\n // float IoU = inter_area / union_area\n if (inter_area / union_area > nms_threshold)\n keep = 0;\n }\n\n if (keep)\n picked.push_back(i);\n }\n}\n\nstatic inline float sigmoid(float x)\n{\n return static_cast(1.f / (1.f + exp(-x)));\n}\n\nstatic void generate_proposals(const ncnn::Mat& anchors, int stride, const ncnn::Mat& in_pad, const ncnn::Mat& feat_blob, float prob_threshold, std::vector& objects)\n{\n const int num_grid = feat_blob.h;\n\n int num_grid_x;\n int num_grid_y;\n if (in_pad.w > in_pad.h)\n {\n num_grid_x = in_pad.w / stride;\n num_grid_y = num_grid / num_grid_x;\n }\n else\n {\n num_grid_y = in_pad.h / stride;\n num_grid_x = num_grid / num_grid_y;\n }\n\n const int num_class = feat_blob.w - 5-10;\n\n const int num_anchors = anchors.w / 2;\n\n for (int q = 0; q < num_anchors; q++)\n {\n const float anchor_w = anchors[q * 2];\n const float anchor_h = anchors[q * 2 + 1];\n\n const ncnn::Mat feat = feat_blob.channel(q);\n\n for (int i = 0; i < num_grid_y; i++)\n {\n for (int j = 0; j < num_grid_x; j++)\n {\n const float* featptr = feat.row(i * num_grid_x + j);\n\n // find class index with max class score\n int class_index = 0;\n float class_score = -FLT_MAX;\n for (int k = 0; k < num_class; k++)\n {\n float score = featptr[5 +10+ k];\n if (score > class_score)\n {\n class_index = k;\n class_score = score;\n }\n }\n\n float box_score = featptr[4];\n\n\t\tfloat confidence = sigmoid(box_score); //* sigmoid(class_score);\n\n if (confidence >= prob_threshold)\n {\n // yolov5/models/yolo.py Detect forward\n // y = x[i].sigmoid()\n // y[..., 0:2] = (y[..., 0:2] * 2. - 0.5 + self.grid[i].to(x[i].device)) * self.stride[i] # xy\n // y[..., 2:4] = (y[..., 2:4] * 2) ** 2 * self.anchor_grid[i] # wh\n\n float dx = sigmoid(featptr[0]);\n float dy = sigmoid(featptr[1]);\n float dw = sigmoid(featptr[2]);\n float dh = sigmoid(featptr[3]);\n\n float pb_cx = (dx * 2.f - 0.5f + j) * stride;\n float pb_cy = (dy * 2.f - 0.5f + i) * stride;\n\n float pb_w = pow(dw * 2.f, 2) * anchor_w;\n float pb_h = pow(dh * 2.f, 2) * anchor_h;\n\n float x0 = pb_cx - pb_w * 0.5f;\n float y0 = pb_cy - pb_h * 0.5f;\n float x1 = pb_cx + pb_w * 0.5f;\n float y1 = pb_cy + pb_h * 0.5f;\n\n Object obj;\n obj.rect.x = x0;\n obj.rect.y = y0;\n obj.rect.width = x1 - x0;\n obj.rect.height = y1 - y0;\n obj.label = class_index;\n obj.prob = confidence;\n\n for (int l = 0; l < 5; l++)\n {\n float x = featptr[2 * l + 5] * anchor_w + j * stride;\n float y = featptr[2 * l + 1 + 5] * anchor_h + i * stride;\n obj.pts.push_back(cv::Point2f(x, y));\n }\n objects.push_back(obj);\n }\n }\n }\n }\n}\n\n\n\nYoloFace::YoloFace()\n{\n blob_pool_allocator.set_size_compare_ratio(0.f);\n workspace_pool_allocator.set_size_compare_ratio(0.f);\n}\n\nint YoloFace::load(const char* modeltype, int _target_size, const float* _mean_vals, const float* _norm_vals, bool use_gpu)\n{\n yoloface.clear();\n blob_pool_allocator.clear();\n workspace_pool_allocator.clear();\n\n ncnn::set_cpu_powersave(2);\n ncnn::set_omp_num_threads(ncnn::get_big_cpu_count());\n\n yoloface.opt = ncnn::Option();\n\n#if NCNN_VULKAN\n yoloface.opt.use_vulkan_compute = use_gpu;\n#endif\n\n yoloface.opt.num_threads = ncnn::get_big_cpu_count();\n yoloface.opt.blob_allocator = &blob_pool_allocator;\n yoloface.opt.workspace_allocator = &workspace_pool_allocator;\n\n char parampath[256];\n char modelpath[256];\n sprintf(parampath, \"%s.param\", modeltype);\n sprintf(modelpath, \"%s.bin\", modeltype);\n\n yoloface.load_param(parampath);\n yoloface.load_model(modelpath);\n\n target_size = _target_size;\n mean_vals[0] = _mean_vals[0];\n mean_vals[1] = _mean_vals[1];\n mean_vals[2] = _mean_vals[2];\n norm_vals[0] = _norm_vals[0];\n norm_vals[1] = _norm_vals[1];\n norm_vals[2] = _norm_vals[2];\n\n return 0;\n}\n\nint YoloFace::load(AAssetManager* mgr, const char* modeltype, int _target_size, const float* _mean_vals, const float* _norm_vals, bool use_gpu)\n{\n yoloface.clear();\n blob_pool_allocator.clear();\n workspace_pool_allocator.clear();\n\n ncnn::set_cpu_powersave(2);\n ncnn::set_omp_num_threads(ncnn::get_big_cpu_count());\n\n yoloface.opt = ncnn::Option();\n#if NCNN_VULKAN\n yoloface.opt.use_vulkan_compute = use_gpu;\n#endif\n\n yoloface.opt.num_threads = ncnn::get_big_cpu_count();\n yoloface.opt.blob_allocator = &blob_pool_allocator;\n yoloface.opt.workspace_allocator = &workspace_pool_allocator;\n\n yoloface.load_param(mgr, \"yolov5n-0.5.param\");\n yoloface.load_model(mgr, \"yolov5n-0.5.bin\");\n\n\n target_size = _target_size;\n mean_vals[0] = _mean_vals[0];\n mean_vals[1] = _mean_vals[1];\n mean_vals[2] = _mean_vals[2];\n norm_vals[0] = _norm_vals[0];\n norm_vals[1] = _norm_vals[1];\n norm_vals[2] = _norm_vals[2];\n\n return 0;\n}\n\n\nint YoloFace::detect(const cv::Mat& rgb, std::vector& objects, float prob_threshold, float nms_threshold)\n{\n \n target_size = 640;\n int img_w = rgb.cols;\n int img_h = rgb.rows;\n\n // letterbox pad to multiple of 32\n int w = img_w;\n int h = img_h;\n float scale = 1.f;\n if (w > h)\n {\n scale = (float)target_size / w;\n w = target_size;\n h = h * scale;\n }\n else\n {\n scale = (float)target_size / h;\n h = target_size;\n w = w * scale;\n }\n\n ncnn::Mat in = ncnn::Mat::from_pixels_resize(rgb.data, ncnn::Mat::PIXEL_RGB, img_w, img_h, w, h);\n\n // pad to target_size rectangle\n // yolov5/utils/datasets.py letterbox\n int wpad = (w + 31) / 32 * 32 - w;\n int hpad = (h + 31) / 32 * 32 - h;\n ncnn::Mat in_pad;\n ncnn::copy_make_border(in, in_pad, hpad / 2, hpad - hpad / 2, wpad / 2, wpad - wpad / 2, ncnn::BORDER_CONSTANT, 114.f);\n\n\n in_pad.substract_mean_normalize(0, norm_vals);\n\n ncnn::Extractor ex = yoloface.create_extractor();\n\n ex.input(\"data\", in_pad);\n\n std::vector proposals;\n\n // anchor setting from yolov5/models/yolov5s.yaml\n\n // stride 8\n {\n ncnn::Mat out;\n ex.extract(\"981\", out);\n\n ncnn::Mat anchors(6);\n anchors[0] = 4.f;\n anchors[1] = 5.f;\n anchors[2] = 8.f;\n anchors[3] = 10.f;\n anchors[4] = 13.f;\n anchors[5] = 16.f;\n\n std::vector objects8;\n generate_proposals(anchors, 8, in_pad, out, prob_threshold, objects8);\n\n proposals.insert(proposals.end(), objects8.begin(), objects8.end());\n }\n\n // stride 16\n {\n ncnn::Mat out;\n ex.extract(\"983\", out);\n\n ncnn::Mat anchors(6);\n anchors[0] = 23.f;\n anchors[1] = 29.f;\n anchors[2] = 43.f;\n anchors[3] = 55.f;\n anchors[4] = 73.f;\n anchors[5] = 105.f;\n\n std::vector objects16;\n generate_proposals(anchors, 16, in_pad, out, prob_threshold, objects16);\n\n proposals.insert(proposals.end(), objects16.begin(), objects16.end());\n }\n\n // stride 32\n {\n ncnn::Mat out;\n ex.extract(\"985\", out);\n\n ncnn::Mat anchors(6);\n anchors[0] = 146.f;\n anchors[1] = 217.f;\n anchors[2] = 231.f;\n anchors[3] = 300.f;\n anchors[4] = 335.f;\n anchors[5] = 433.f;\n\n std::vector objects32;\n generate_proposals(anchors, 32, in_pad, out, prob_threshold, objects32);\n\n proposals.insert(proposals.end(), objects32.begin(), objects32.end());\n }\n\n // sort all proposals by score from highest to lowest\n qsort_descent_inplace(proposals);\n\n // apply nms with nms_threshold\n std::vector picked;\n nms_sorted_bboxes(proposals, picked, nms_threshold);\n\n int count = picked.size();\n\n objects.resize(count);\n for (int i = 0; i < count; i++)\n {\n objects[i] = proposals[picked[i]];\n\n // adjust offset to original unpadded\n float x0 = (objects[i].rect.x - (wpad / 2)) / scale;\n float y0 = (objects[i].rect.y - (hpad / 2)) / scale;\n float x1 = (objects[i].rect.x + objects[i].rect.width - (wpad / 2)) / scale;\n float y1 = (objects[i].rect.y + objects[i].rect.height - (hpad / 2)) / scale;\n\n for (int j = 0; j < objects[i].pts.size(); j++)\n {\n float ptx = (objects[i].pts[j].x - (wpad / 2)) / scale;\n float pty = (objects[i].pts[j].y - (hpad / 2)) / scale;\n objects[i].pts[j] = cv::Point2f(ptx, pty);\n }\n\n // clip\n x0 = std::max(std::min(x0, (float)(img_w - 1)), 0.f);\n y0 = std::max(std::min(y0, (float)(img_h - 1)), 0.f);\n x1 = std::max(std::min(x1, (float)(img_w - 1)), 0.f);\n y1 = std::max(std::min(y1, (float)(img_h - 1)), 0.f);\n\n objects[i].rect.x = x0;\n objects[i].rect.y = y0;\n objects[i].rect.width = x1 - x0;\n objects[i].rect.height = y1 - y0;\n }\n\n\n return 0;\n}\n\nint YoloFace::draw(cv::Mat& rgb, const std::vector& objects)\n{\n\n static const unsigned char colors[19][3] = {\n { 54, 67, 244},\n { 99, 30, 233},\n {176, 39, 156},\n {183, 58, 103},\n {181, 81, 63},\n {243, 150, 33},\n {244, 169, 3},\n {212, 188, 0},\n {136, 150, 0},\n { 80, 175, 76},\n { 74, 195, 139},\n { 57, 220, 205},\n { 59, 235, 255},\n { 7, 193, 255},\n { 0, 152, 255},\n { 34, 87, 255},\n { 72, 85, 121},\n {158, 158, 158},\n {139, 125, 96}\n };\n\n int color_index = 0;\n\n for (size_t i = 0; i < objects.size(); i++)\n {\n const Object& obj = objects[i];\n\n const unsigned char* color = colors[color_index % 19];\n color_index++;\n\n cv::Scalar cc(color[0], color[1], color[2]);\n\n cv::rectangle(rgb,obj.rect, cc, 2);\n\n char text[256];\n sprintf(text, \"%.1f%%\", obj.prob * 100);\n\n int baseLine = 0;\n cv::Size label_size = cv::getTextSize(text, cv::FONT_HERSHEY_SIMPLEX, 0.5, 1, &baseLine);\n\n int x = obj.rect.x;\n int y = obj.rect.y - label_size.height - baseLine;\n if (y < 0)\n y = 0;\n if (x + label_size.width > rgb.cols)\n x = rgb.cols - label_size.width;\n\n cv::rectangle(rgb, cv::Rect(cv::Point(x, y), cv::Size(label_size.width, label_size.height + baseLine)), cc, -1);\n\n cv::Scalar textcc = (color[0] + color[1] + color[2] >= 381) ? cv::Scalar(0, 0, 0) : cv::Scalar(255, 255, 255);\n\n cv::putText(rgb, text, cv::Point(x, y + label_size.height), cv::FONT_HERSHEY_SIMPLEX, 0.5, textcc, 1);\n for (int j = 0; j < obj.pts.size(); j++)\n {\n cv::circle(rgb, obj.pts[j], 2, cv::Scalar(0, 255, 0), -1);\n }\n }\n\n return 0;\n}\n" }, { "path": "ncnn-android-yolov5_face/app/src/main/jni/yoloface.h", "content": "// Tencent is pleased to support the open source community by making ncnn available.\n//\n// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.\n//\n// Licensed under the BSD 3-Clause License (the \"License\"); you may not use this file except\n// in compliance with the License. You may obtain a copy of the License at\n//\n// https://opensource.org/licenses/BSD-3-Clause\n//\n// Unless required by applicable law or agreed to in writing, software distributed\n// under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR\n// CONDITIONS OF ANY KIND, either express or implied. See the License for the\n// specific language governing permissions and limitations under the License.\n\n#ifndef YOLOFACE_H\n#define YOLOFACE_H\n\n#include \n\n#include \n\nstruct Object\n{\n cv::Rect_ rect;\n int label;\n float prob;\n std::vector pts;\n};\n\n\nclass YoloFace\n{\npublic:\n YoloFace();\n\n int load(const char* modeltype, int target_size, const float* mean_vals, const float* norm_vals, bool use_gpu = false);\n\n int load(AAssetManager* mgr, const char* modeltype, int target_size, const float* mean_vals, const float* norm_vals, bool use_gpu = false);\n\n int detect(const cv::Mat& rgb, std::vector& objects, float prob_threshold = 0.25f, float nms_threshold = 0.45f);\n\n int draw(cv::Mat& rgb, const std::vector& objects);\n\nprivate:\n\n ncnn::Net yoloface;\n\n int target_size;\n float mean_vals[3];\n float norm_vals[3];\n int image_w;\n int image_h;\n int in_w;\n int in_h;\n\n ncnn::UnlockedPoolAllocator blob_pool_allocator;\n ncnn::PoolAllocator workspace_pool_allocator;\n};\n\n#endif // NANODET_H\n" }, { "path": "ncnn-android-yolov5_face/app/src/main/jni/yolofacencnn.cpp", "content": "// Tencent is pleased to support the open source community by making ncnn available.\n//\n// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.\n//\n// Licensed under the BSD 3-Clause License (the \"License\"); you may not use this file except\n// in compliance with the License. You may obtain a copy of the License at\n//\n// https://opensource.org/licenses/BSD-3-Clause\n//\n// Unless required by applicable law or agreed to in writing, software distributed\n// under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR\n// CONDITIONS OF ANY KIND, either express or implied. See the License for the\n// specific language governing permissions and limitations under the License.\n\n#include \n#include \n#include \n\n#include \n\n#include \n\n#include \n#include \n\n#include \n#include \n\n#include \"yoloface.h\"\n\n#include \"ndkcamera.h\"\n\n#include \n#include \n\n#if __ARM_NEON\n#include \n#endif // __ARM_NEON\n\nstatic int draw_unsupported(cv::Mat& rgb)\n{\n const char text[] = \"unsupported\";\n\n int baseLine = 0;\n cv::Size label_size = cv::getTextSize(text, cv::FONT_HERSHEY_SIMPLEX, 1.0, 1, &baseLine);\n\n int y = (rgb.rows - label_size.height) / 2;\n int x = (rgb.cols - label_size.width) / 2;\n\n cv::rectangle(rgb, cv::Rect(cv::Point(x, y), cv::Size(label_size.width, label_size.height + baseLine)),\n cv::Scalar(255, 255, 255), -1);\n\n cv::putText(rgb, text, cv::Point(x, y + label_size.height),\n cv::FONT_HERSHEY_SIMPLEX, 1.0, cv::Scalar(0, 0, 0));\n\n return 0;\n}\n\nstatic int draw_fps(cv::Mat& rgb)\n{\n // resolve moving average\n float avg_fps = 0.f;\n {\n static double t0 = 0.f;\n static float fps_history[10] = {0.f};\n\n double t1 = ncnn::get_current_time();\n if (t0 == 0.f)\n {\n t0 = t1;\n return 0;\n }\n\n float fps = 1000.f / (t1 - t0);\n t0 = t1;\n\n for (int i = 9; i >= 1; i--)\n {\n fps_history[i] = fps_history[i - 1];\n }\n fps_history[0] = fps;\n\n if (fps_history[9] == 0.f)\n {\n return 0;\n }\n\n for (int i = 0; i < 10; i++)\n {\n avg_fps += fps_history[i];\n }\n avg_fps /= 10.f;\n }\n\n char text[32];\n sprintf(text, \"FPS=%.2f\", avg_fps);\n\n int baseLine = 0;\n cv::Size label_size = cv::getTextSize(text, cv::FONT_HERSHEY_SIMPLEX, 0.5, 1, &baseLine);\n\n int y = 0;\n int x = rgb.cols - label_size.width;\n\n cv::rectangle(rgb, cv::Rect(cv::Point(x, y), cv::Size(label_size.width, label_size.height + baseLine)),\n cv::Scalar(255, 255, 255), -1);\n\n cv::putText(rgb, text, cv::Point(x, y + label_size.height),\n cv::FONT_HERSHEY_SIMPLEX, 0.5, cv::Scalar(0, 0, 0));\n\n return 0;\n}\n\nstatic YoloFace* g_yoloface = 0;\nstatic ncnn::Mutex lock;\n\nclass MyNdkCamera : public NdkCameraWindow\n{\npublic:\n virtual void on_image_render(cv::Mat& rgb) const;\n};\n\nvoid MyNdkCamera::on_image_render(cv::Mat& rgb) const\n{\n // nanodet\n {\n ncnn::MutexLockGuard g(lock);\n\n if (g_yoloface)\n {\n std::vector objects;\n g_yoloface->detect(rgb, objects);\n\n g_yoloface->draw(rgb, objects);\n }\n else\n {\n draw_unsupported(rgb);\n }\n }\n\n draw_fps(rgb);\n}\n\nstatic MyNdkCamera* g_camera = 0;\n\nextern \"C\" {\n\nJNIEXPORT jint JNI_OnLoad(JavaVM* vm, void* reserved)\n{\n __android_log_print(ANDROID_LOG_DEBUG, \"ncnn\", \"JNI_OnLoad\");\n\n g_camera = new MyNdkCamera;\n\n return JNI_VERSION_1_4;\n}\n\nJNIEXPORT void JNI_OnUnload(JavaVM* vm, void* reserved)\n{\n __android_log_print(ANDROID_LOG_DEBUG, \"ncnn\", \"JNI_OnUnload\");\n\n {\n ncnn::MutexLockGuard g(lock);\n\n delete g_yoloface;\n g_yoloface = 0;\n }\n\n delete g_camera;\n g_camera = 0;\n}\n\n// public native boolean loadModel(AssetManager mgr, int modelid, int cpugpu);\nJNIEXPORT jboolean JNICALL Java_com_tencent_ncnnyoloface_NcnnYoloFace_loadModel(JNIEnv* env, jobject thiz, jobject assetManager, jint modelid, jint cpugpu)\n{\n if (modelid < 0 || modelid > 6 || cpugpu < 0 || cpugpu > 1)\n {\n return JNI_FALSE;\n }\n\n AAssetManager* mgr = AAssetManager_fromJava(env, assetManager);\n\n __android_log_print(ANDROID_LOG_DEBUG, \"ncnn\", \"loadModel %p\", mgr);\n\n const char* modeltypes[] =\n {\n \"yolov5n-0.5\",\n };\n\n const int target_sizes[] =\n {\n 320,\n };\n\n const float mean_vals[][3] =\n {\n {127.f, 127.f, 127.f},\n };\n\n const float norm_vals[][3] =\n {\n {1 / 255.f, 1 / 255.f, 1 / 255.f},\n };\n\n const char* modeltype = modeltypes[(int)modelid];\n int target_size = target_sizes[(int)modelid];\n bool use_gpu = (int)cpugpu == 1;\n\n // reload\n {\n ncnn::MutexLockGuard g(lock);\n\n if (use_gpu && ncnn::get_gpu_count() == 0)\n {\n // no gpu\n delete g_yoloface;\n g_yoloface = 0;\n }\n else\n {\n if (!g_yoloface)\n g_yoloface = new YoloFace;\n g_yoloface->load(mgr, modeltype, target_size, mean_vals[(int)modelid], norm_vals[(int)modelid], use_gpu);\n }\n }\n\n return JNI_TRUE;\n}\n\n// public native boolean openCamera(int facing);\nJNIEXPORT jboolean JNICALL Java_com_tencent_ncnnyoloface_NcnnYoloFace_openCamera(JNIEnv* env, jobject thiz, jint facing)\n{\n if (facing < 0 || facing > 1)\n return JNI_FALSE;\n\n __android_log_print(ANDROID_LOG_DEBUG, \"ncnn\", \"openCamera %d\", facing);\n\n g_camera->open((int)facing);\n\n return JNI_TRUE;\n}\n\n// public native boolean closeCamera();\nJNIEXPORT jboolean JNICALL Java_com_tencent_ncnnyoloface_NcnnYoloFace_closeCamera(JNIEnv* env, jobject thiz)\n{\n __android_log_print(ANDROID_LOG_DEBUG, \"ncnn\", \"closeCamera\");\n\n g_camera->close();\n\n return JNI_TRUE;\n}\n\n// public native boolean setOutputWindow(Surface surface);\nJNIEXPORT jboolean JNICALL Java_com_tencent_ncnnyoloface_NcnnYoloFace_setOutputWindow(JNIEnv* env, jobject thiz, jobject surface)\n{\n ANativeWindow* win = ANativeWindow_fromSurface(env, surface);\n\n __android_log_print(ANDROID_LOG_DEBUG, \"ncnn\", \"setOutputWindow %p\", win);\n\n g_camera->set_window(win);\n\n return JNI_TRUE;\n}\n\n}\n" }, { "path": "ncnn-android-yolov5_face/app/src/main/res/layout/main.xml", "content": "\n\n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\n\n" }, { "path": "ncnn-android-yolov5_face/app/src/main/res/values/strings.xml", "content": "\n\n yoloface_demo\n \n face\n \n \n CPU\n GPU\n \n\n" }, { "path": "ncnn-android-yolov5_face/build.gradle", "content": "// Top-level build file where you can add configuration options common to all sub-projects/modules.\nbuildscript {\n repositories {\n jcenter()\n google()\n }\n dependencies {\n classpath 'com.android.tools.build:gradle:3.5.0'\n }\n}\n\nallprojects {\n repositories {\n jcenter()\n google()\n }\n}\n" }, { "path": "ncnn-android-yolov5_face/gradle/wrapper/gradle-wrapper.properties", "content": "#Sun Sep 08 23:09:42 CST 2019\ndistributionBase=GRADLE_USER_HOME\ndistributionPath=wrapper/dists\nzipStoreBase=GRADLE_USER_HOME\nzipStorePath=wrapper/dists\ndistributionUrl=https\\://services.gradle.org/distributions/gradle-5.4.1-all.zip\n" }, { "path": "ncnn-android-yolov5_face/gradlew", "content": "#!/usr/bin/env sh\n\n##############################################################################\n##\n## Gradle start up script for UN*X\n##\n##############################################################################\n\n# Attempt to set APP_HOME\n# Resolve links: $0 may be a link\nPRG=\"$0\"\n# Need this for relative symlinks.\nwhile [ -h \"$PRG\" ] ; do\n ls=`ls -ld \"$PRG\"`\n link=`expr \"$ls\" : '.*-> \\(.*\\)$'`\n if expr \"$link\" : '/.*' > /dev/null; then\n PRG=\"$link\"\n else\n PRG=`dirname \"$PRG\"`\"/$link\"\n fi\ndone\nSAVED=\"`pwd`\"\ncd \"`dirname \\\"$PRG\\\"`/\" >/dev/null\nAPP_HOME=\"`pwd -P`\"\ncd \"$SAVED\" >/dev/null\n\nAPP_NAME=\"Gradle\"\nAPP_BASE_NAME=`basename \"$0\"`\n\n# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.\nDEFAULT_JVM_OPTS=\"\"\n\n# Use the maximum available, or set MAX_FD != -1 to use that value.\nMAX_FD=\"maximum\"\n\nwarn () {\n echo \"$*\"\n}\n\ndie () {\n echo\n echo \"$*\"\n echo\n exit 1\n}\n\n# OS specific support (must be 'true' or 'false').\ncygwin=false\nmsys=false\ndarwin=false\nnonstop=false\ncase \"`uname`\" in\n CYGWIN* )\n cygwin=true\n ;;\n Darwin* )\n darwin=true\n ;;\n MINGW* )\n msys=true\n ;;\n NONSTOP* )\n nonstop=true\n ;;\nesac\n\nCLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar\n\n# Determine the Java command to use to start the JVM.\nif [ -n \"$JAVA_HOME\" ] ; then\n if [ -x \"$JAVA_HOME/jre/sh/java\" ] ; then\n # IBM's JDK on AIX uses strange locations for the executables\n JAVACMD=\"$JAVA_HOME/jre/sh/java\"\n else\n JAVACMD=\"$JAVA_HOME/bin/java\"\n fi\n if [ ! -x \"$JAVACMD\" ] ; then\n die \"ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME\n\nPlease set the JAVA_HOME variable in your environment to match the\nlocation of your Java installation.\"\n fi\nelse\n JAVACMD=\"java\"\n which java >/dev/null 2>&1 || die \"ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.\n\nPlease set the JAVA_HOME variable in your environment to match the\nlocation of your Java installation.\"\nfi\n\n# Increase the maximum file descriptors if we can.\nif [ \"$cygwin\" = \"false\" -a \"$darwin\" = \"false\" -a \"$nonstop\" = \"false\" ] ; then\n MAX_FD_LIMIT=`ulimit -H -n`\n if [ $? -eq 0 ] ; then\n if [ \"$MAX_FD\" = \"maximum\" -o \"$MAX_FD\" = \"max\" ] ; then\n MAX_FD=\"$MAX_FD_LIMIT\"\n fi\n ulimit -n $MAX_FD\n if [ $? -ne 0 ] ; then\n warn \"Could not set maximum file descriptor limit: $MAX_FD\"\n fi\n else\n warn \"Could not query maximum file descriptor limit: $MAX_FD_LIMIT\"\n fi\nfi\n\n# For Darwin, add options to specify how the application appears in the dock\nif $darwin; then\n GRADLE_OPTS=\"$GRADLE_OPTS \\\"-Xdock:name=$APP_NAME\\\" \\\"-Xdock:icon=$APP_HOME/media/gradle.icns\\\"\"\nfi\n\n# For Cygwin, switch paths to Windows format before running java\nif $cygwin ; then\n APP_HOME=`cygpath --path --mixed \"$APP_HOME\"`\n CLASSPATH=`cygpath --path --mixed \"$CLASSPATH\"`\n JAVACMD=`cygpath --unix \"$JAVACMD\"`\n\n # We build the pattern for arguments to be converted via cygpath\n ROOTDIRSRAW=`find -L / -maxdepth 1 -mindepth 1 -type d 2>/dev/null`\n SEP=\"\"\n for dir in $ROOTDIRSRAW ; do\n ROOTDIRS=\"$ROOTDIRS$SEP$dir\"\n SEP=\"|\"\n done\n OURCYGPATTERN=\"(^($ROOTDIRS))\"\n # Add a user-defined pattern to the cygpath arguments\n if [ \"$GRADLE_CYGPATTERN\" != \"\" ] ; then\n OURCYGPATTERN=\"$OURCYGPATTERN|($GRADLE_CYGPATTERN)\"\n fi\n # Now convert the arguments - kludge to limit ourselves to /bin/sh\n i=0\n for arg in \"$@\" ; do\n CHECK=`echo \"$arg\"|egrep -c \"$OURCYGPATTERN\" -`\n CHECK2=`echo \"$arg\"|egrep -c \"^-\"` ### Determine if an option\n\n if [ $CHECK -ne 0 ] && [ $CHECK2 -eq 0 ] ; then ### Added a condition\n eval `echo args$i`=`cygpath --path --ignore --mixed \"$arg\"`\n else\n eval `echo args$i`=\"\\\"$arg\\\"\"\n fi\n i=$((i+1))\n done\n case $i in\n (0) set -- ;;\n (1) set -- \"$args0\" ;;\n (2) set -- \"$args0\" \"$args1\" ;;\n (3) set -- \"$args0\" \"$args1\" \"$args2\" ;;\n (4) set -- \"$args0\" \"$args1\" \"$args2\" \"$args3\" ;;\n (5) set -- \"$args0\" \"$args1\" \"$args2\" \"$args3\" \"$args4\" ;;\n (6) set -- \"$args0\" \"$args1\" \"$args2\" \"$args3\" \"$args4\" \"$args5\" ;;\n (7) set -- \"$args0\" \"$args1\" \"$args2\" \"$args3\" \"$args4\" \"$args5\" \"$args6\" ;;\n (8) set -- \"$args0\" \"$args1\" \"$args2\" \"$args3\" \"$args4\" \"$args5\" \"$args6\" \"$args7\" ;;\n (9) set -- \"$args0\" \"$args1\" \"$args2\" \"$args3\" \"$args4\" \"$args5\" \"$args6\" \"$args7\" \"$args8\" ;;\n esac\nfi\n\n# Escape application args\nsave () {\n for i do printf %s\\\\n \"$i\" | sed \"s/'/'\\\\\\\\''/g;1s/^/'/;\\$s/\\$/' \\\\\\\\/\" ; done\n echo \" \"\n}\nAPP_ARGS=$(save \"$@\")\n\n# Collect all arguments for the java command, following the shell quoting and substitution rules\neval set -- $DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS \"\\\"-Dorg.gradle.appname=$APP_BASE_NAME\\\"\" -classpath \"\\\"$CLASSPATH\\\"\" org.gradle.wrapper.GradleWrapperMain \"$APP_ARGS\"\n\n# by default we should be in the correct project dir, but when run from Finder on Mac, the cwd is wrong\nif [ \"$(uname)\" = \"Darwin\" ] && [ \"$HOME\" = \"$PWD\" ]; then\n cd \"$(dirname \"$0\")\"\nfi\n\nexec \"$JAVACMD\" \"$@\"\n" }, { "path": "ncnn-android-yolov5_face/gradlew.bat", "content": "@if \"%DEBUG%\" == \"\" @echo off\n@rem ##########################################################################\n@rem\n@rem Gradle startup script for Windows\n@rem\n@rem ##########################################################################\n\n@rem Set local scope for the variables with windows NT shell\nif \"%OS%\"==\"Windows_NT\" setlocal\n\nset DIRNAME=%~dp0\nif \"%DIRNAME%\" == \"\" set DIRNAME=.\nset APP_BASE_NAME=%~n0\nset APP_HOME=%DIRNAME%\n\n@rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.\nset DEFAULT_JVM_OPTS=\n\n@rem Find java.exe\nif defined JAVA_HOME goto findJavaFromJavaHome\n\nset JAVA_EXE=java.exe\n%JAVA_EXE% -version >NUL 2>&1\nif \"%ERRORLEVEL%\" == \"0\" goto init\n\necho.\necho ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.\necho.\necho Please set the JAVA_HOME variable in your environment to match the\necho location of your Java installation.\n\ngoto fail\n\n:findJavaFromJavaHome\nset JAVA_HOME=%JAVA_HOME:\"=%\nset JAVA_EXE=%JAVA_HOME%/bin/java.exe\n\nif exist \"%JAVA_EXE%\" goto init\n\necho.\necho ERROR: JAVA_HOME is set to an invalid directory: %JAVA_HOME%\necho.\necho Please set the JAVA_HOME variable in your environment to match the\necho location of your Java installation.\n\ngoto fail\n\n:init\n@rem Get command-line arguments, handling Windows variants\n\nif not \"%OS%\" == \"Windows_NT\" goto win9xME_args\n\n:win9xME_args\n@rem Slurp the command line arguments.\nset CMD_LINE_ARGS=\nset _SKIP=2\n\n:win9xME_args_slurp\nif \"x%~1\" == \"x\" goto execute\n\nset CMD_LINE_ARGS=%*\n\n:execute\n@rem Setup the command line\n\nset CLASSPATH=%APP_HOME%\\gradle\\wrapper\\gradle-wrapper.jar\n\n@rem Execute Gradle\n\"%JAVA_EXE%\" %DEFAULT_JVM_OPTS% %JAVA_OPTS% %GRADLE_OPTS% \"-Dorg.gradle.appname=%APP_BASE_NAME%\" -classpath \"%CLASSPATH%\" org.gradle.wrapper.GradleWrapperMain %CMD_LINE_ARGS%\n\n:end\n@rem End local scope for the variables with windows NT shell\nif \"%ERRORLEVEL%\"==\"0\" goto mainEnd\n\n:fail\nrem Set variable GRADLE_EXIT_CONSOLE if you need the _script_ return code instead of\nrem the _cmd.exe /c_ return code!\nif not \"\" == \"%GRADLE_EXIT_CONSOLE%\" exit 1\nexit /b 1\n\n:mainEnd\nif \"%OS%\"==\"Windows_NT\" endlocal\n\n:omega\n" }, { "path": "ncnn-android-yolov5_face/local.properties", "content": "## This file must *NOT* be checked into Version Control Systems,\n# as it contains information specific to your local configuration.\n#\n# Location of the SDK. This is only used by Gradle.\n# For customization when using a Version Control System, please read the\n# header note.\n#Mon Mar 29 09:07:23 CST 2021\nsdk.dir=D\\:\\\\Android\n" }, { "path": "ncnn-android-yolov5_face/settings.gradle", "content": "include ':app'\n" }, { "path": "ncnn-android-yolov7_face/app/build.gradle", "content": "apply plugin: 'com.android.application'\n\nandroid {\n compileSdkVersion 24\n buildToolsVersion \"29.0.2\"\n\n defaultConfig {\n applicationId \"com.tencent.ncnnyoloface\"\n archivesBaseName = \"$applicationId\"\n\n minSdkVersion 24\n }\n\n externalNativeBuild {\n cmake {\n version \"3.10.2\"\n path file('src/main/jni/CMakeLists.txt')\n }\n }\n\n dependencies {\n implementation 'com.android.support:support-v4:24.0.0'\n }\n}\n" }, { "path": "ncnn-android-yolov7_face/app/src/main/AndroidManifest.xml", "content": "\n\n \n \n\n \n \n \n \n \n \n \n \n \n" }, { "path": "ncnn-android-yolov7_face/app/src/main/assets/yolov7-lite-e.param", "content": "7767517\n169 192\nInput images 0 1 images\nMemoryData 817 0 1 817 0=80 1=80 2=96\nMemoryData 821 0 1 821 0=80 1=80 2=18\nMemoryData 845 0 1 845 0=40 1=40 2=96\nMemoryData 849 0 1 849 0=40 1=40 2=18\nMemoryData 873 0 1 873 0=20 1=20 2=96\nMemoryData 877 0 1 877 0=20 1=20 2=18\nConvolution Conv_0 1 1 images 393 0=32 1=3 3=2 4=1 5=1 6=864 9=1\nPooling MaxPool_2 1 1 393 394 1=3 2=2 3=1 5=1\nSplit splitncnn_0 1 2 394 394_splitncnn_0 394_splitncnn_1\nConvolutionDepthWise Conv_3 1 1 394_splitncnn_1 903 0=32 1=3 3=2 4=1 5=1 6=288 7=32\nConvolution Conv_4 1 1 903 399 0=60 1=1 5=1 6=1920 9=1\nConvolution Conv_6 1 1 394_splitncnn_0 402 0=60 1=1 5=1 6=1920 9=1\nConvolutionDepthWise Conv_8 1 1 402 912 0=60 1=3 3=2 4=1 5=1 6=540 7=60\nConvolution Conv_9 1 1 912 407 0=60 1=1 5=1 6=3600 9=1\nConcat Concat_11 2 1 399 407 408\nShuffleChannel Reshape_16 1 1 408 413 0=2\nSplit splitncnn_1 1 2 413 413_splitncnn_0 413_splitncnn_1\nCrop Slice_27 1 1 413_splitncnn_1 424 -23309=1,0 -23310=1,60 -23311=1,0\nCrop Slice_30 1 1 413_splitncnn_0 427 -23309=1,60 -23310=1,120 -23311=1,0\nConvolution Conv_31 1 1 427 430 0=60 1=1 5=1 6=3600 9=1\nConvolutionDepthWise Conv_33 1 1 430 921 0=60 1=3 4=1 5=1 6=540 7=60\nConvolution Conv_34 1 1 921 435 0=60 1=1 5=1 6=3600 9=1\nConcat Concat_36 2 1 424 435 436\nShuffleChannel Reshape_41 1 1 436 441 0=2\nSplit splitncnn_2 1 2 441 441_splitncnn_0 441_splitncnn_1\nCrop Slice_52 1 1 441_splitncnn_1 452 -23309=1,0 -23310=1,60 -23311=1,0\nCrop Slice_55 1 1 441_splitncnn_0 455 -23309=1,60 -23310=1,120 -23311=1,0\nConvolution Conv_56 1 1 455 458 0=60 1=1 5=1 6=3600 9=1\nConvolutionDepthWise Conv_58 1 1 458 930 0=60 1=3 4=1 5=1 6=540 7=60\nConvolution Conv_59 1 1 930 463 0=60 1=1 5=1 6=3600 9=1\nConcat Concat_61 2 1 452 463 464\nShuffleChannel Reshape_66 1 1 464 469 0=2\nSplit splitncnn_3 1 2 469 469_splitncnn_0 469_splitncnn_1\nCrop Slice_77 1 1 469_splitncnn_1 480 -23309=1,0 -23310=1,60 -23311=1,0\nCrop Slice_80 1 1 469_splitncnn_0 483 -23309=1,60 -23310=1,120 -23311=1,0\nConvolution Conv_81 1 1 483 486 0=60 1=1 5=1 6=3600 9=1\nConvolutionDepthWise Conv_83 1 1 486 939 0=60 1=3 4=1 5=1 6=540 7=60\nConvolution Conv_84 1 1 939 491 0=60 1=1 5=1 6=3600 9=1\nConcat Concat_86 2 1 480 491 492\nShuffleChannel Reshape_91 1 1 492 497 0=2\nSplit splitncnn_4 1 3 497 497_splitncnn_0 497_splitncnn_1 497_splitncnn_2\nConvolutionDepthWise Conv_92 1 1 497_splitncnn_2 945 0=120 1=3 3=2 4=1 5=1 6=1080 7=120\nConvolution Conv_93 1 1 945 502 0=116 1=1 5=1 6=13920 9=1\nConvolution Conv_95 1 1 497_splitncnn_1 505 0=116 1=1 5=1 6=13920 9=1\nConvolutionDepthWise Conv_97 1 1 505 954 0=116 1=3 3=2 4=1 5=1 6=1044 7=116\nConvolution Conv_98 1 1 954 510 0=116 1=1 5=1 6=13456 9=1\nConcat Concat_100 2 1 502 510 511\nShuffleChannel Reshape_105 1 1 511 516 0=2\nSplit splitncnn_5 1 2 516 516_splitncnn_0 516_splitncnn_1\nCrop Slice_116 1 1 516_splitncnn_1 527 -23309=1,0 -23310=1,116 -23311=1,0\nCrop Slice_119 1 1 516_splitncnn_0 530 -23309=1,116 -23310=1,232 -23311=1,0\nConvolution Conv_120 1 1 530 533 0=116 1=1 5=1 6=13456 9=1\nConvolutionDepthWise Conv_122 1 1 533 963 0=116 1=3 4=1 5=1 6=1044 7=116\nConvolution Conv_123 1 1 963 538 0=116 1=1 5=1 6=13456 9=1\nConcat Concat_125 2 1 527 538 539\nShuffleChannel Reshape_130 1 1 539 544 0=2\nSplit splitncnn_6 1 2 544 544_splitncnn_0 544_splitncnn_1\nCrop Slice_141 1 1 544_splitncnn_1 555 -23309=1,0 -23310=1,116 -23311=1,0\nCrop Slice_144 1 1 544_splitncnn_0 558 -23309=1,116 -23310=1,232 -23311=1,0\nConvolution Conv_145 1 1 558 561 0=116 1=1 5=1 6=13456 9=1\nConvolutionDepthWise Conv_147 1 1 561 972 0=116 1=3 4=1 5=1 6=1044 7=116\nConvolution Conv_148 1 1 972 566 0=116 1=1 5=1 6=13456 9=1\nConcat Concat_150 2 1 555 566 567\nShuffleChannel Reshape_155 1 1 567 572 0=2\nSplit splitncnn_7 1 2 572 572_splitncnn_0 572_splitncnn_1\nCrop Slice_166 1 1 572_splitncnn_1 583 -23309=1,0 -23310=1,116 -23311=1,0\nCrop Slice_169 1 1 572_splitncnn_0 586 -23309=1,116 -23310=1,232 -23311=1,0\nConvolution Conv_170 1 1 586 589 0=116 1=1 5=1 6=13456 9=1\nConvolutionDepthWise Conv_172 1 1 589 981 0=116 1=3 4=1 5=1 6=1044 7=116\nConvolution Conv_173 1 1 981 594 0=116 1=1 5=1 6=13456 9=1\nConcat Concat_175 2 1 583 594 595\nShuffleChannel Reshape_180 1 1 595 600 0=2\nSplit splitncnn_8 1 2 600 600_splitncnn_0 600_splitncnn_1\nCrop Slice_191 1 1 600_splitncnn_1 611 -23309=1,0 -23310=1,116 -23311=1,0\nCrop Slice_194 1 1 600_splitncnn_0 614 -23309=1,116 -23310=1,232 -23311=1,0\nConvolution Conv_195 1 1 614 617 0=116 1=1 5=1 6=13456 9=1\nConvolutionDepthWise Conv_197 1 1 617 990 0=116 1=3 4=1 5=1 6=1044 7=116\nConvolution Conv_198 1 1 990 622 0=116 1=1 5=1 6=13456 9=1\nConcat Concat_200 2 1 611 622 623\nShuffleChannel Reshape_205 1 1 623 628 0=2\nSplit splitncnn_9 1 2 628 628_splitncnn_0 628_splitncnn_1\nCrop Slice_216 1 1 628_splitncnn_1 639 -23309=1,0 -23310=1,116 -23311=1,0\nCrop Slice_219 1 1 628_splitncnn_0 642 -23309=1,116 -23310=1,232 -23311=1,0\nConvolution Conv_220 1 1 642 645 0=116 1=1 5=1 6=13456 9=1\nConvolutionDepthWise Conv_222 1 1 645 999 0=116 1=3 4=1 5=1 6=1044 7=116\nConvolution Conv_223 1 1 999 650 0=116 1=1 5=1 6=13456 9=1\nConcat Concat_225 2 1 639 650 651\nShuffleChannel Reshape_230 1 1 651 656 0=2\nSplit splitncnn_10 1 2 656 656_splitncnn_0 656_splitncnn_1\nCrop Slice_241 1 1 656_splitncnn_1 667 -23309=1,0 -23310=1,116 -23311=1,0\nCrop Slice_244 1 1 656_splitncnn_0 670 -23309=1,116 -23310=1,232 -23311=1,0\nConvolution Conv_245 1 1 670 673 0=116 1=1 5=1 6=13456 9=1\nConvolutionDepthWise Conv_247 1 1 673 1008 0=116 1=3 4=1 5=1 6=1044 7=116\nConvolution Conv_248 1 1 1008 678 0=116 1=1 5=1 6=13456 9=1\nConcat Concat_250 2 1 667 678 679\nShuffleChannel Reshape_255 1 1 679 684 0=2\nSplit splitncnn_11 1 2 684 684_splitncnn_0 684_splitncnn_1\nCrop Slice_266 1 1 684_splitncnn_1 695 -23309=1,0 -23310=1,116 -23311=1,0\nCrop Slice_269 1 1 684_splitncnn_0 698 -23309=1,116 -23310=1,232 -23311=1,0\nConvolution Conv_270 1 1 698 701 0=116 1=1 5=1 6=13456 9=1\nConvolutionDepthWise Conv_272 1 1 701 1017 0=116 1=3 4=1 5=1 6=1044 7=116\nConvolution Conv_273 1 1 1017 706 0=116 1=1 5=1 6=13456 9=1\nConcat Concat_275 2 1 695 706 707\nShuffleChannel Reshape_280 1 1 707 712 0=2\nSplit splitncnn_12 1 3 712 712_splitncnn_0 712_splitncnn_1 712_splitncnn_2\nConvolutionDepthWise Conv_281 1 1 712_splitncnn_2 1023 0=232 1=3 3=2 4=1 5=1 6=2088 7=232\nConvolution Conv_282 1 1 1023 717 0=232 1=1 5=1 6=53824 9=1\nConvolution Conv_284 1 1 712_splitncnn_1 720 0=232 1=1 5=1 6=53824 9=1\nConvolutionDepthWise Conv_286 1 1 720 1032 0=232 1=3 3=2 4=1 5=1 6=2088 7=232\nConvolution Conv_287 1 1 1032 725 0=232 1=1 5=1 6=53824 9=1\nConcat Concat_289 2 1 717 725 726\nShuffleChannel Reshape_294 1 1 726 731 0=2\nSplit splitncnn_13 1 2 731 731_splitncnn_0 731_splitncnn_1\nCrop Slice_305 1 1 731_splitncnn_1 742 -23309=1,0 -23310=1,232 -23311=1,0\nCrop Slice_308 1 1 731_splitncnn_0 745 -23309=1,232 -23310=1,464 -23311=1,0\nConvolution Conv_309 1 1 745 748 0=232 1=1 5=1 6=53824 9=1\nConvolutionDepthWise Conv_311 1 1 748 1041 0=232 1=3 4=1 5=1 6=2088 7=232\nConvolution Conv_312 1 1 1041 753 0=232 1=1 5=1 6=53824 9=1\nConcat Concat_314 2 1 742 753 754\nShuffleChannel Reshape_319 1 1 754 759 0=2\nConvolution Conv_320 1 1 759 760 0=96 1=1 5=1 6=44544\nSwish Mul_322 1 1 760 762\nSplit splitncnn_14 1 2 762 762_splitncnn_0 762_splitncnn_1\nInterp Resize_324 1 1 762_splitncnn_1 767 0=1 1=2.000000e+00 2=2.000000e+00\nConcat Concat_325 2 1 767 712_splitncnn_0 768\nConvolutionDepthWise Conv_326 1 1 768 771 0=328 1=3 4=1 5=1 6=2952 7=328 9=1\nConvolution Conv_328 1 1 771 774 0=96 1=1 5=1 6=31488 9=1\nConvolution Conv_330 1 1 774 775 0=96 1=1 5=1 6=9216\nSwish Mul_332 1 1 775 777\nSplit splitncnn_15 1 2 777 777_splitncnn_0 777_splitncnn_1\nInterp Resize_334 1 1 777_splitncnn_1 782 0=1 1=2.000000e+00 2=2.000000e+00\nConcat Concat_335 2 1 782 497_splitncnn_0 783\nConvolutionDepthWise Conv_336 1 1 783 786 0=216 1=3 4=1 5=1 6=1944 7=216 9=1\nConvolution Conv_338 1 1 786 789 0=96 1=1 5=1 6=20736 9=1\nSplit splitncnn_16 1 3 789 789_splitncnn_0 789_splitncnn_1 789_splitncnn_2\nConvolutionDepthWise Conv_340 1 1 789_splitncnn_2 792 0=96 1=3 3=2 4=1 5=1 6=864 7=96 9=1\nConvolution Conv_342 1 1 792 795 0=96 1=1 5=1 6=9216 9=1\nBinaryOp Add_344 2 1 795 777_splitncnn_0 796\nConvolutionDepthWise Conv_345 1 1 796 799 0=96 1=3 4=1 5=1 6=864 7=96 9=1\nConvolution Conv_347 1 1 799 802 0=96 1=1 5=1 6=9216 9=1\nSplit splitncnn_17 1 3 802 802_splitncnn_0 802_splitncnn_1 802_splitncnn_2\nConvolutionDepthWise Conv_349 1 1 802_splitncnn_2 805 0=96 1=3 3=2 4=1 5=1 6=864 7=96 9=1\nConvolution Conv_351 1 1 805 808 0=96 1=1 5=1 6=9216 9=1\nBinaryOp Add_353 2 1 808 762_splitncnn_0 809\nConvolutionDepthWise Conv_354 1 1 809 812 0=96 1=3 4=1 5=1 6=864 7=96 9=1\nConvolution Conv_356 1 1 812 815 0=96 1=1 5=1 6=9216 9=1\nSplit splitncnn_18 1 2 815 815_splitncnn_0 815_splitncnn_1\nBinaryOp Add_360 2 1 817 789_splitncnn_1 818\nConvolution Conv_361 1 1 818 819 0=18 1=1 5=1 6=1728\nBinaryOp Mul_364 2 1 821 819 822 0=2\nConvolution Conv_365 1 1 789_splitncnn_0 823 0=45 1=1 5=1 6=4320\nConcat Concat_366 2 1 822 823 824\nReshape Reshape_380 1 1 824 842 0=6400 1=21 2=3\nPermute Transpose_381 1 1 842 stride_8 0=1\nBinaryOp Add_384 2 1 845 802_splitncnn_1 846\nConvolution Conv_385 1 1 846 847 0=18 1=1 5=1 6=1728\nBinaryOp Mul_388 2 1 849 847 850 0=2\nConvolution Conv_389 1 1 802_splitncnn_0 851 0=45 1=1 5=1 6=4320\nConcat Concat_390 2 1 850 851 852\nReshape Reshape_404 1 1 852 870 0=1600 1=21 2=3\nPermute Transpose_405 1 1 870 stride_16 0=1\nBinaryOp Add_408 2 1 873 815_splitncnn_1 874\nConvolution Conv_409 1 1 874 875 0=18 1=1 5=1 6=1728\nBinaryOp Mul_412 2 1 877 875 878 0=2\nConvolution Conv_413 1 1 815_splitncnn_0 879 0=45 1=1 5=1 6=4320\nConcat Concat_414 2 1 878 879 880\nReshape Reshape_428 1 1 880 898 0=400 1=21 2=3\nPermute Transpose_429 1 1 898 stride_32 0=1\n" }, { "path": "ncnn-android-yolov7_face/app/src/main/assets/yolov7-tiny.param", "content": "7767517\n206 243\nInput images 0 1 images\nMemoryData 338 0 1 338 0=80 1=80 2=128\nMemoryData 342 0 1 342 0=80 1=80 2=18\nMemoryData 399 0 1 399 0=40 1=40 2=256\nMemoryData 403 0 1 403 0=40 1=40 2=18\nMemoryData 460 0 1 460 0=20 1=20 2=512\nMemoryData 464 0 1 464 0=20 1=20 2=18\nConvolution Conv_0 1 1 images 198 0=32 1=3 3=2 4=1 5=1 6=864 9=2 -23310=1,1.000000e-01\nConvolution Conv_2 1 1 198 200 0=64 1=3 3=2 4=1 5=1 6=18432 9=2 -23310=1,1.000000e-01\nSplit splitncnn_0 1 2 200 200_splitncnn_0 200_splitncnn_1\nConvolution Conv_4 1 1 200_splitncnn_1 202 0=32 1=1 5=1 6=2048 9=2 -23310=1,1.000000e-01\nConvolution Conv_6 1 1 200_splitncnn_0 204 0=32 1=1 5=1 6=2048 9=2 -23310=1,1.000000e-01\nSplit splitncnn_1 1 2 204 204_splitncnn_0 204_splitncnn_1\nConvolution Conv_8 1 1 204_splitncnn_1 206 0=32 1=3 4=1 5=1 6=9216 9=2 -23310=1,1.000000e-01\nSplit splitncnn_2 1 2 206 206_splitncnn_0 206_splitncnn_1\nConvolution Conv_10 1 1 206_splitncnn_1 208 0=32 1=3 4=1 5=1 6=9216 9=2 -23310=1,1.000000e-01\nConcat Concat_12 4 1 208 206_splitncnn_0 204_splitncnn_0 202 209\nConvolution Conv_13 1 1 209 211 0=64 1=1 5=1 6=8192 9=2 -23310=1,1.000000e-01\nPooling MaxPool_15 1 1 211 212 1=2 2=2 5=1\nSplit splitncnn_3 1 2 212 212_splitncnn_0 212_splitncnn_1\nConvolution Conv_16 1 1 212_splitncnn_1 214 0=64 1=1 5=1 6=4096 9=2 -23310=1,1.000000e-01\nConvolution Conv_18 1 1 212_splitncnn_0 216 0=64 1=1 5=1 6=4096 9=2 -23310=1,1.000000e-01\nSplit splitncnn_4 1 2 216 216_splitncnn_0 216_splitncnn_1\nConvolution Conv_20 1 1 216_splitncnn_1 218 0=64 1=3 4=1 5=1 6=36864 9=2 -23310=1,1.000000e-01\nSplit splitncnn_5 1 2 218 218_splitncnn_0 218_splitncnn_1\nConvolution Conv_22 1 1 218_splitncnn_1 220 0=64 1=3 4=1 5=1 6=36864 9=2 -23310=1,1.000000e-01\nConcat Concat_24 4 1 220 218_splitncnn_0 216_splitncnn_0 214 221\nConvolution Conv_25 1 1 221 223 0=128 1=1 5=1 6=32768 9=2 -23310=1,1.000000e-01\nSplit splitncnn_6 1 2 223 223_splitncnn_0 223_splitncnn_1\nPooling MaxPool_27 1 1 223_splitncnn_1 224 1=2 2=2 5=1\nSplit splitncnn_7 1 2 224 224_splitncnn_0 224_splitncnn_1\nConvolution Conv_28 1 1 224_splitncnn_1 226 0=128 1=1 5=1 6=16384 9=2 -23310=1,1.000000e-01\nConvolution Conv_30 1 1 224_splitncnn_0 228 0=128 1=1 5=1 6=16384 9=2 -23310=1,1.000000e-01\nSplit splitncnn_8 1 2 228 228_splitncnn_0 228_splitncnn_1\nConvolution Conv_32 1 1 228_splitncnn_1 230 0=128 1=3 4=1 5=1 6=147456 9=2 -23310=1,1.000000e-01\nSplit splitncnn_9 1 2 230 230_splitncnn_0 230_splitncnn_1\nConvolution Conv_34 1 1 230_splitncnn_1 232 0=128 1=3 4=1 5=1 6=147456 9=2 -23310=1,1.000000e-01\nConcat Concat_36 4 1 232 230_splitncnn_0 228_splitncnn_0 226 233\nConvolution Conv_37 1 1 233 235 0=256 1=1 5=1 6=131072 9=2 -23310=1,1.000000e-01\nSplit splitncnn_10 1 2 235 235_splitncnn_0 235_splitncnn_1\nPooling MaxPool_39 1 1 235_splitncnn_1 236 1=2 2=2 5=1\nSplit splitncnn_11 1 2 236 236_splitncnn_0 236_splitncnn_1\nConvolution Conv_40 1 1 236_splitncnn_1 238 0=256 1=1 5=1 6=65536 9=2 -23310=1,1.000000e-01\nConvolution Conv_42 1 1 236_splitncnn_0 240 0=256 1=1 5=1 6=65536 9=2 -23310=1,1.000000e-01\nSplit splitncnn_12 1 2 240 240_splitncnn_0 240_splitncnn_1\nConvolution Conv_44 1 1 240_splitncnn_1 242 0=256 1=3 4=1 5=1 6=589824 9=2 -23310=1,1.000000e-01\nSplit splitncnn_13 1 2 242 242_splitncnn_0 242_splitncnn_1\nConvolution Conv_46 1 1 242_splitncnn_1 244 0=256 1=3 4=1 5=1 6=589824 9=2 -23310=1,1.000000e-01\nConcat Concat_48 4 1 244 242_splitncnn_0 240_splitncnn_0 238 245\nConvolution Conv_49 1 1 245 247 0=512 1=1 5=1 6=524288 9=2 -23310=1,1.000000e-01\nSplit splitncnn_14 1 2 247 247_splitncnn_0 247_splitncnn_1\nConvolution Conv_51 1 1 247_splitncnn_1 249 0=256 1=1 5=1 6=131072 9=2 -23310=1,1.000000e-01\nConvolution Conv_53 1 1 247_splitncnn_0 251 0=256 1=1 5=1 6=131072 9=2 -23310=1,1.000000e-01\nSplit splitncnn_15 1 4 251 251_splitncnn_0 251_splitncnn_1 251_splitncnn_2 251_splitncnn_3\nPooling MaxPool_55 1 1 251_splitncnn_3 252 1=5 3=2 5=1\nPooling MaxPool_56 1 1 251_splitncnn_2 253 1=9 3=4 5=1\nPooling MaxPool_57 1 1 251_splitncnn_1 254 1=13 3=6 5=1\nConcat Concat_58 4 1 254 253 252 251_splitncnn_0 255\nConvolution Conv_59 1 1 255 257 0=256 1=1 5=1 6=262144 9=2 -23310=1,1.000000e-01\nConcat Concat_61 2 1 257 249 258\nConvolution Conv_62 1 1 258 260 0=256 1=1 5=1 6=131072 9=2 -23310=1,1.000000e-01\nSplit splitncnn_16 1 2 260 260_splitncnn_0 260_splitncnn_1\nConvolution Conv_64 1 1 260_splitncnn_1 262 0=128 1=1 5=1 6=32768 9=2 -23310=1,1.000000e-01\nInterp Resize_67 1 1 262 267 0=1 1=2.000000e+00 2=2.000000e+00\nConvolution Conv_68 1 1 235_splitncnn_0 269 0=128 1=1 5=1 6=32768 9=2 -23310=1,1.000000e-01\nConcat Concat_70 2 1 269 267 270\nSplit splitncnn_17 1 2 270 270_splitncnn_0 270_splitncnn_1\nConvolution Conv_71 1 1 270_splitncnn_1 272 0=64 1=1 5=1 6=16384 9=2 -23310=1,1.000000e-01\nConvolution Conv_73 1 1 270_splitncnn_0 274 0=64 1=1 5=1 6=16384 9=2 -23310=1,1.000000e-01\nSplit splitncnn_18 1 2 274 274_splitncnn_0 274_splitncnn_1\nConvolution Conv_75 1 1 274_splitncnn_1 276 0=64 1=3 4=1 5=1 6=36864 9=2 -23310=1,1.000000e-01\nSplit splitncnn_19 1 2 276 276_splitncnn_0 276_splitncnn_1\nConvolution Conv_77 1 1 276_splitncnn_1 278 0=64 1=3 4=1 5=1 6=36864 9=2 -23310=1,1.000000e-01\nConcat Concat_79 4 1 278 276_splitncnn_0 274_splitncnn_0 272 279\nConvolution Conv_80 1 1 279 281 0=128 1=1 5=1 6=32768 9=2 -23310=1,1.000000e-01\nSplit splitncnn_20 1 2 281 281_splitncnn_0 281_splitncnn_1\nConvolution Conv_82 1 1 281_splitncnn_1 283 0=64 1=1 5=1 6=8192 9=2 -23310=1,1.000000e-01\nInterp Resize_85 1 1 283 288 0=1 1=2.000000e+00 2=2.000000e+00\nConvolution Conv_86 1 1 223_splitncnn_0 290 0=64 1=1 5=1 6=8192 9=2 -23310=1,1.000000e-01\nConcat Concat_88 2 1 290 288 291\nSplit splitncnn_21 1 2 291 291_splitncnn_0 291_splitncnn_1\nConvolution Conv_89 1 1 291_splitncnn_1 293 0=32 1=1 5=1 6=4096 9=2 -23310=1,1.000000e-01\nConvolution Conv_91 1 1 291_splitncnn_0 295 0=32 1=1 5=1 6=4096 9=2 -23310=1,1.000000e-01\nSplit splitncnn_22 1 2 295 295_splitncnn_0 295_splitncnn_1\nConvolution Conv_93 1 1 295_splitncnn_1 297 0=32 1=3 4=1 5=1 6=9216 9=2 -23310=1,1.000000e-01\nSplit splitncnn_23 1 2 297 297_splitncnn_0 297_splitncnn_1\nConvolution Conv_95 1 1 297_splitncnn_1 299 0=32 1=3 4=1 5=1 6=9216 9=2 -23310=1,1.000000e-01\nConcat Concat_97 4 1 299 297_splitncnn_0 295_splitncnn_0 293 300\nConvolution Conv_98 1 1 300 302 0=64 1=1 5=1 6=8192 9=2 -23310=1,1.000000e-01\nSplit splitncnn_24 1 2 302 302_splitncnn_0 302_splitncnn_1\nConvolution Conv_100 1 1 302_splitncnn_1 304 0=128 1=3 3=2 4=1 5=1 6=73728 9=2 -23310=1,1.000000e-01\nConcat Concat_102 2 1 304 281_splitncnn_0 305\nSplit splitncnn_25 1 2 305 305_splitncnn_0 305_splitncnn_1\nConvolution Conv_103 1 1 305_splitncnn_1 307 0=64 1=1 5=1 6=16384 9=2 -23310=1,1.000000e-01\nConvolution Conv_105 1 1 305_splitncnn_0 309 0=64 1=1 5=1 6=16384 9=2 -23310=1,1.000000e-01\nSplit splitncnn_26 1 2 309 309_splitncnn_0 309_splitncnn_1\nConvolution Conv_107 1 1 309_splitncnn_1 311 0=64 1=3 4=1 5=1 6=36864 9=2 -23310=1,1.000000e-01\nSplit splitncnn_27 1 2 311 311_splitncnn_0 311_splitncnn_1\nConvolution Conv_109 1 1 311_splitncnn_1 313 0=64 1=3 4=1 5=1 6=36864 9=2 -23310=1,1.000000e-01\nConcat Concat_111 4 1 313 311_splitncnn_0 309_splitncnn_0 307 314\nConvolution Conv_112 1 1 314 316 0=128 1=1 5=1 6=32768 9=2 -23310=1,1.000000e-01\nSplit splitncnn_28 1 2 316 316_splitncnn_0 316_splitncnn_1\nConvolution Conv_114 1 1 316_splitncnn_1 318 0=256 1=3 3=2 4=1 5=1 6=294912 9=2 -23310=1,1.000000e-01\nConcat Concat_116 2 1 318 260_splitncnn_0 319\nSplit splitncnn_29 1 2 319 319_splitncnn_0 319_splitncnn_1\nConvolution Conv_117 1 1 319_splitncnn_1 321 0=128 1=1 5=1 6=65536 9=2 -23310=1,1.000000e-01\nConvolution Conv_119 1 1 319_splitncnn_0 323 0=128 1=1 5=1 6=65536 9=2 -23310=1,1.000000e-01\nSplit splitncnn_30 1 2 323 323_splitncnn_0 323_splitncnn_1\nConvolution Conv_121 1 1 323_splitncnn_1 325 0=128 1=3 4=1 5=1 6=147456 9=2 -23310=1,1.000000e-01\nSplit splitncnn_31 1 2 325 325_splitncnn_0 325_splitncnn_1\nConvolution Conv_123 1 1 325_splitncnn_1 327 0=128 1=3 4=1 5=1 6=147456 9=2 -23310=1,1.000000e-01\nConcat Concat_125 4 1 327 325_splitncnn_0 323_splitncnn_0 321 328\nConvolution Conv_126 1 1 328 330 0=256 1=1 5=1 6=131072 9=2 -23310=1,1.000000e-01\nConvolution Conv_128 1 1 302_splitncnn_0 332 0=128 1=3 4=1 5=1 6=73728 9=2 -23310=1,1.000000e-01\nSplit splitncnn_32 1 2 332 332_splitncnn_0 332_splitncnn_1\nConvolution Conv_130 1 1 316_splitncnn_0 334 0=256 1=3 4=1 5=1 6=294912 9=2 -23310=1,1.000000e-01\nSplit splitncnn_33 1 2 334 334_splitncnn_0 334_splitncnn_1\nConvolution Conv_132 1 1 330 336 0=512 1=3 4=1 5=1 6=1179648 9=2 -23310=1,1.000000e-01\nSplit splitncnn_34 1 2 336 336_splitncnn_0 336_splitncnn_1\nBinaryOp Add_136 2 1 338 332_splitncnn_1 339\nConvolution Conv_137 1 1 339 340 0=18 1=1 5=1 6=2304\nBinaryOp Mul_140 2 1 342 340 343 0=2\nConvolutionDepthWise Conv_141 1 1 332_splitncnn_0 344 0=128 1=3 4=1 5=1 6=1152 7=128\nSwish Mul_143 1 1 344 346\nConvolution Conv_144 1 1 346 347 0=128 1=1 5=1 6=16384\nSwish Mul_146 1 1 347 349\nConvolutionDepthWise Conv_147 1 1 349 350 0=128 1=3 4=1 5=1 6=1152 7=128\nSwish Mul_149 1 1 350 352\nConvolution Conv_150 1 1 352 353 0=128 1=1 5=1 6=16384\nSwish Mul_152 1 1 353 355\nConvolutionDepthWise Conv_153 1 1 355 356 0=128 1=3 4=1 5=1 6=1152 7=128\nSwish Mul_155 1 1 356 358\nConvolution Conv_156 1 1 358 359 0=128 1=1 5=1 6=16384\nSwish Mul_158 1 1 359 361\nConvolutionDepthWise Conv_159 1 1 361 362 0=128 1=3 4=1 5=1 6=1152 7=128\nSwish Mul_161 1 1 362 364\nConvolution Conv_162 1 1 364 365 0=128 1=1 5=1 6=16384\nSwish Mul_164 1 1 365 367\nConvolutionDepthWise Conv_165 1 1 367 368 0=128 1=3 4=1 5=1 6=1152 7=128\nSwish Mul_167 1 1 368 370\nConvolution Conv_168 1 1 370 371 0=128 1=1 5=1 6=16384\nSwish Mul_170 1 1 371 373\nConvolutionDepthWise Conv_171 1 1 373 374 0=128 1=3 4=1 5=1 6=1152 7=128\nSwish Mul_173 1 1 374 376\nConvolution Conv_174 1 1 376 377 0=45 1=1 5=1 6=5760\nConcat Concat_175 2 1 343 377 378\nReshape Reshape_189 1 1 378 396 0=-1 1=21 2=3\nPermute Transpose_190 1 1 396 stride_8 0=1\nBinaryOp Add_193 2 1 399 334_splitncnn_1 400\nConvolution Conv_194 1 1 400 401 0=18 1=1 5=1 6=4608\nBinaryOp Mul_197 2 1 403 401 404 0=2\nConvolutionDepthWise Conv_198 1 1 334_splitncnn_0 405 0=256 1=3 4=1 5=1 6=2304 7=256\nSwish Mul_200 1 1 405 407\nConvolution Conv_201 1 1 407 408 0=256 1=1 5=1 6=65536\nSwish Mul_203 1 1 408 410\nConvolutionDepthWise Conv_204 1 1 410 411 0=256 1=3 4=1 5=1 6=2304 7=256\nSwish Mul_206 1 1 411 413\nConvolution Conv_207 1 1 413 414 0=256 1=1 5=1 6=65536\nSwish Mul_209 1 1 414 416\nConvolutionDepthWise Conv_210 1 1 416 417 0=256 1=3 4=1 5=1 6=2304 7=256\nSwish Mul_212 1 1 417 419\nConvolution Conv_213 1 1 419 420 0=256 1=1 5=1 6=65536\nSwish Mul_215 1 1 420 422\nConvolutionDepthWise Conv_216 1 1 422 423 0=256 1=3 4=1 5=1 6=2304 7=256\nSwish Mul_218 1 1 423 425\nConvolution Conv_219 1 1 425 426 0=256 1=1 5=1 6=65536\nSwish Mul_221 1 1 426 428\nConvolutionDepthWise Conv_222 1 1 428 429 0=256 1=3 4=1 5=1 6=2304 7=256\nSwish Mul_224 1 1 429 431\nConvolution Conv_225 1 1 431 432 0=256 1=1 5=1 6=65536\nSwish Mul_227 1 1 432 434\nConvolutionDepthWise Conv_228 1 1 434 435 0=256 1=3 4=1 5=1 6=2304 7=256\nSwish Mul_230 1 1 435 437\nConvolution Conv_231 1 1 437 438 0=45 1=1 5=1 6=11520\nConcat Concat_232 2 1 404 438 439\nReshape Reshape_246 1 1 439 457 0=-1 1=21 2=3\nPermute Transpose_247 1 1 457 stride_16 0=1\nBinaryOp Add_250 2 1 460 336_splitncnn_1 461\nConvolution Conv_251 1 1 461 462 0=18 1=1 5=1 6=9216\nBinaryOp Mul_254 2 1 464 462 465 0=2\nConvolutionDepthWise Conv_255 1 1 336_splitncnn_0 466 0=512 1=3 4=1 5=1 6=4608 7=512\nSwish Mul_257 1 1 466 468\nConvolution Conv_258 1 1 468 469 0=512 1=1 5=1 6=262144\nSwish Mul_260 1 1 469 471\nConvolutionDepthWise Conv_261 1 1 471 472 0=512 1=3 4=1 5=1 6=4608 7=512\nSwish Mul_263 1 1 472 474\nConvolution Conv_264 1 1 474 475 0=512 1=1 5=1 6=262144\nSwish Mul_266 1 1 475 477\nConvolutionDepthWise Conv_267 1 1 477 478 0=512 1=3 4=1 5=1 6=4608 7=512\nSwish Mul_269 1 1 478 480\nConvolution Conv_270 1 1 480 481 0=512 1=1 5=1 6=262144\nSwish Mul_272 1 1 481 483\nConvolutionDepthWise Conv_273 1 1 483 484 0=512 1=3 4=1 5=1 6=4608 7=512\nSwish Mul_275 1 1 484 486\nConvolution Conv_276 1 1 486 487 0=512 1=1 5=1 6=262144\nSwish Mul_278 1 1 487 489\nConvolutionDepthWise Conv_279 1 1 489 490 0=512 1=3 4=1 5=1 6=4608 7=512\nSwish Mul_281 1 1 490 492\nConvolution Conv_282 1 1 492 493 0=512 1=1 5=1 6=262144\nSwish Mul_284 1 1 493 495\nConvolutionDepthWise Conv_285 1 1 495 496 0=512 1=3 4=1 5=1 6=4608 7=512\nSwish Mul_287 1 1 496 498\nConvolution Conv_288 1 1 498 499 0=45 1=1 5=1 6=23040\nConcat Concat_289 2 1 465 499 500\nReshape Reshape_303 1 1 500 518 0=-1 1=21 2=3\nPermute Transpose_304 1 1 518 stride_32 0=1\n" }, { "path": "ncnn-android-yolov7_face/app/src/main/java/com/tencent/ncnnyoloface/MainActivity.java", "content": "// Tencent is pleased to support the open source community by making ncnn available.\n//\n// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.\n//\n// Licensed under the BSD 3-Clause License (the \"License\"); you may not use this file except\n// in compliance with the License. You may obtain a copy of the License at\n//\n// https://opensource.org/licenses/BSD-3-Clause\n//\n// Unless required by applicable law or agreed to in writing, software distributed\n// under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR\n// CONDITIONS OF ANY KIND, either express or implied. See the License for the\n// specific language governing permissions and limitations under the License.\n\npackage com.tencent.ncnnyoloface;\n\nimport android.Manifest;\nimport android.app.Activity;\nimport android.content.pm.PackageManager;\nimport android.graphics.PixelFormat;\nimport android.os.Bundle;\nimport android.util.Log;\nimport android.view.Surface;\nimport android.view.SurfaceHolder;\nimport android.view.SurfaceView;\nimport android.view.View;\nimport android.view.WindowManager;\nimport android.widget.AdapterView;\nimport android.widget.Button;\nimport android.widget.Spinner;\n\nimport android.support.v4.app.ActivityCompat;\nimport android.support.v4.content.ContextCompat;\n\npublic class MainActivity extends Activity implements SurfaceHolder.Callback\n{\n public static final int REQUEST_CAMERA = 100;\n\n private NcnnYoloFace ncnnyoloface = new NcnnYoloFace();\n private int facing = 0;\n\n private Spinner spinnerModel;\n private Spinner spinnerCPUGPU;\n private int current_model = 0;\n private int current_cpugpu = 0;\n\n private SurfaceView cameraView;\n\n /** Called when the activity is first created. */\n @Override\n public void onCreate(Bundle savedInstanceState)\n {\n super.onCreate(savedInstanceState);\n setContentView(R.layout.main);\n\n getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON);\n\n cameraView = (SurfaceView) findViewById(R.id.cameraview);\n\n cameraView.getHolder().setFormat(PixelFormat.RGBA_8888);\n cameraView.getHolder().addCallback(this);\n\n Button buttonSwitchCamera = (Button) findViewById(R.id.buttonSwitchCamera);\n buttonSwitchCamera.setOnClickListener(new View.OnClickListener() {\n @Override\n public void onClick(View arg0) {\n\n int new_facing = 1 - facing;\n\n ncnnyoloface.closeCamera();\n\n ncnnyoloface.openCamera(new_facing);\n\n facing = new_facing;\n }\n });\n\n spinnerModel = (Spinner) findViewById(R.id.spinnerModel);\n spinnerModel.setOnItemSelectedListener(new AdapterView.OnItemSelectedListener() {\n @Override\n public void onItemSelected(AdapterView arg0, View arg1, int position, long id)\n {\n if (position != current_model)\n {\n current_model = position;\n reload();\n }\n }\n\n @Override\n public void onNothingSelected(AdapterView arg0)\n {\n }\n });\n\n spinnerCPUGPU = (Spinner) findViewById(R.id.spinnerCPUGPU);\n spinnerCPUGPU.setOnItemSelectedListener(new AdapterView.OnItemSelectedListener() {\n @Override\n public void onItemSelected(AdapterView arg0, View arg1, int position, long id)\n {\n if (position != current_cpugpu)\n {\n current_cpugpu = position;\n reload();\n }\n }\n\n @Override\n public void onNothingSelected(AdapterView arg0)\n {\n }\n });\n\n reload();\n }\n\n private void reload()\n {\n boolean ret_init = ncnnyoloface.loadModel(getAssets(), current_model, current_cpugpu);\n if (!ret_init)\n {\n Log.e(\"MainActivity\", \"ncnnyoloface loadModel failed\");\n }\n }\n\n @Override\n public void surfaceChanged(SurfaceHolder holder, int format, int width, int height)\n {\n ncnnyoloface.setOutputWindow(holder.getSurface());\n }\n\n @Override\n public void surfaceCreated(SurfaceHolder holder)\n {\n }\n\n @Override\n public void surfaceDestroyed(SurfaceHolder holder)\n {\n }\n\n @Override\n public void onResume()\n {\n super.onResume();\n\n if (ContextCompat.checkSelfPermission(getApplicationContext(), Manifest.permission.CAMERA) == PackageManager.PERMISSION_DENIED)\n {\n ActivityCompat.requestPermissions(this, new String[] {Manifest.permission.CAMERA}, REQUEST_CAMERA);\n }\n\n ncnnyoloface.openCamera(facing);\n }\n\n @Override\n public void onPause()\n {\n super.onPause();\n\n ncnnyoloface.closeCamera();\n }\n}\n" }, { "path": "ncnn-android-yolov7_face/app/src/main/java/com/tencent/ncnnyoloface/NcnnYoloFace.java", "content": "// Tencent is pleased to support the open source community by making ncnn available.\n//\n// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.\n//\n// Licensed under the BSD 3-Clause License (the \"License\"); you may not use this file except\n// in compliance with the License. You may obtain a copy of the License at\n//\n// https://opensource.org/licenses/BSD-3-Clause\n//\n// Unless required by applicable law or agreed to in writing, software distributed\n// under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR\n// CONDITIONS OF ANY KIND, either express or implied. See the License for the\n// specific language governing permissions and limitations under the License.\n\npackage com.tencent.ncnnyoloface;\n\nimport android.content.res.AssetManager;\nimport android.view.Surface;\n\npublic class NcnnYoloFace\n{\n public native boolean loadModel(AssetManager mgr, int modelid, int cpugpu);\n public native boolean openCamera(int facing);\n public native boolean closeCamera();\n public native boolean setOutputWindow(Surface surface);\n\n static {\n System.loadLibrary(\"ncnnyoloface\");\n }\n}\n" }, { "path": "ncnn-android-yolov7_face/app/src/main/jni/CMakeLists.txt", "content": "project(ncnnyoloface)\n\ncmake_minimum_required(VERSION 3.10)\n\nset(OpenCV_DIR ${CMAKE_SOURCE_DIR}/opencv-mobile-4.5.1-android/sdk/native/jni)\nfind_package(OpenCV REQUIRED core imgproc)\n\nset(ncnn_DIR ${CMAKE_SOURCE_DIR}/ncnn-20210720-android-vulkan/${ANDROID_ABI}/lib/cmake/ncnn)\nfind_package(ncnn REQUIRED)\n\nadd_library(ncnnyoloface SHARED yolofacencnn.cpp yoloface.cpp ndkcamera.cpp)\n\ntarget_link_libraries(ncnnyoloface ncnn ${OpenCV_LIBS} camera2ndk mediandk)\n" }, { "path": "ncnn-android-yolov7_face/app/src/main/jni/ndkcamera.cpp", "content": "// Tencent is pleased to support the open source community by making ncnn available.\n//\n// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.\n//\n// Licensed under the BSD 3-Clause License (the \"License\"); you may not use this file except\n// in compliance with the License. You may obtain a copy of the License at\n//\n// https://opensource.org/licenses/BSD-3-Clause\n//\n// Unless required by applicable law or agreed to in writing, software distributed\n// under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR\n// CONDITIONS OF ANY KIND, either express or implied. See the License for the\n// specific language governing permissions and limitations under the License.\n\n#include \"ndkcamera.h\"\n\n#include \n\n#include \n\n#include \n\n#include \"mat.h\"\n\nstatic void onDisconnected(void* context, ACameraDevice* device)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onDisconnected %p\", device);\n}\n\nstatic void onError(void* context, ACameraDevice* device, int error)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onError %p %d\", device, error);\n}\n\nstatic void onImageAvailable(void* context, AImageReader* reader)\n{\n// __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onImageAvailable %p\", reader);\n\n AImage* image = 0;\n media_status_t status = AImageReader_acquireLatestImage(reader, &image);\n\n if (status != AMEDIA_OK)\n {\n // error\n return;\n }\n\n int32_t format;\n AImage_getFormat(image, &format);\n\n // assert format == AIMAGE_FORMAT_YUV_420_888\n\n int32_t width = 0;\n int32_t height = 0;\n AImage_getWidth(image, &width);\n AImage_getHeight(image, &height);\n\n int32_t y_pixelStride = 0;\n int32_t u_pixelStride = 0;\n int32_t v_pixelStride = 0;\n AImage_getPlanePixelStride(image, 0, &y_pixelStride);\n AImage_getPlanePixelStride(image, 1, &u_pixelStride);\n AImage_getPlanePixelStride(image, 2, &v_pixelStride);\n\n int32_t y_rowStride = 0;\n int32_t u_rowStride = 0;\n int32_t v_rowStride = 0;\n AImage_getPlaneRowStride(image, 0, &y_rowStride);\n AImage_getPlaneRowStride(image, 1, &u_rowStride);\n AImage_getPlaneRowStride(image, 2, &v_rowStride);\n\n uint8_t* y_data = 0;\n uint8_t* u_data = 0;\n uint8_t* v_data = 0;\n int y_len = 0;\n int u_len = 0;\n int v_len = 0;\n AImage_getPlaneData(image, 0, &y_data, &y_len);\n AImage_getPlaneData(image, 1, &u_data, &u_len);\n AImage_getPlaneData(image, 2, &v_data, &v_len);\n\n if (u_data == v_data + 1 && v_data == y_data + width * height && y_pixelStride == 1 && u_pixelStride == 2 && v_pixelStride == 2 && y_rowStride == width && u_rowStride == width && v_rowStride == width)\n {\n // already nv21 :)\n ((NdkCamera*)context)->on_image((unsigned char*)y_data, (int)width, (int)height);\n }\n else\n {\n // construct nv21\n unsigned char* nv21 = new unsigned char[width * height + width * height / 2];\n {\n // Y\n unsigned char* yptr = nv21;\n for (int y=0; yon_image((unsigned char*)nv21, (int)width, (int)height);\n\n delete[] nv21;\n }\n\n AImage_delete(image);\n}\n\nstatic void onSessionActive(void* context, ACameraCaptureSession *session)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onSessionActive %p\", session);\n}\n\nstatic void onSessionReady(void* context, ACameraCaptureSession *session)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onSessionReady %p\", session);\n}\n\nstatic void onSessionClosed(void* context, ACameraCaptureSession *session)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onSessionClosed %p\", session);\n}\n\nvoid onCaptureFailed(void* context, ACameraCaptureSession* session, ACaptureRequest* request, ACameraCaptureFailure* failure)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onCaptureFailed %p %p %p\", session, request, failure);\n}\n\nvoid onCaptureSequenceCompleted(void* context, ACameraCaptureSession* session, int sequenceId, int64_t frameNumber)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onCaptureSequenceCompleted %p %d %ld\", session, sequenceId, frameNumber);\n}\n\nvoid onCaptureSequenceAborted(void* context, ACameraCaptureSession* session, int sequenceId)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onCaptureSequenceAborted %p %d\", session, sequenceId);\n}\n\nvoid onCaptureCompleted(void* context, ACameraCaptureSession* session, ACaptureRequest* request, const ACameraMetadata* result)\n{\n// __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"onCaptureCompleted %p %p %p\", session, request, result);\n}\n\nNdkCamera::NdkCamera()\n{\n camera_facing = 0;\n camera_orientation = 0;\n\n camera_manager = 0;\n camera_device = 0;\n image_reader = 0;\n image_reader_surface = 0;\n image_reader_target = 0;\n capture_request = 0;\n capture_session_output_container = 0;\n capture_session_output = 0;\n capture_session = 0;\n\n\n // setup imagereader and its surface\n {\n AImageReader_new(640, 480, AIMAGE_FORMAT_YUV_420_888, /*maxImages*/2, &image_reader);\n\n AImageReader_ImageListener listener;\n listener.context = this;\n listener.onImageAvailable = onImageAvailable;\n\n AImageReader_setImageListener(image_reader, &listener);\n\n AImageReader_getWindow(image_reader, &image_reader_surface);\n\n ANativeWindow_acquire(image_reader_surface);\n }\n}\n\nNdkCamera::~NdkCamera()\n{\n close();\n\n if (image_reader)\n {\n AImageReader_delete(image_reader);\n image_reader = 0;\n }\n\n if (image_reader_surface)\n {\n ANativeWindow_release(image_reader_surface);\n image_reader_surface = 0;\n }\n}\n\nint NdkCamera::open(int _camera_facing)\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"open\");\n\n camera_facing = _camera_facing;\n\n camera_manager = ACameraManager_create();\n\n // find front camera\n std::string camera_id;\n {\n ACameraIdList* camera_id_list = 0;\n ACameraManager_getCameraIdList(camera_manager, &camera_id_list);\n\n for (int i = 0; i < camera_id_list->numCameras; ++i)\n {\n const char* id = camera_id_list->cameraIds[i];\n ACameraMetadata* camera_metadata = 0;\n ACameraManager_getCameraCharacteristics(camera_manager, id, &camera_metadata);\n\n // query faceing\n acamera_metadata_enum_android_lens_facing_t facing = ACAMERA_LENS_FACING_FRONT;\n {\n ACameraMetadata_const_entry e = { 0 };\n ACameraMetadata_getConstEntry(camera_metadata, ACAMERA_LENS_FACING, &e);\n facing = (acamera_metadata_enum_android_lens_facing_t)e.data.u8[0];\n }\n\n if (camera_facing == 0 && facing != ACAMERA_LENS_FACING_FRONT)\n {\n ACameraMetadata_free(camera_metadata);\n continue;\n }\n\n if (camera_facing == 1 && facing != ACAMERA_LENS_FACING_BACK)\n {\n ACameraMetadata_free(camera_metadata);\n continue;\n }\n\n camera_id = id;\n\n // query orientation\n int orientation = 0;\n {\n ACameraMetadata_const_entry e = { 0 };\n ACameraMetadata_getConstEntry(camera_metadata, ACAMERA_SENSOR_ORIENTATION, &e);\n\n orientation = (int)e.data.i32[0];\n }\n\n camera_orientation = orientation;\n\n ACameraMetadata_free(camera_metadata);\n\n break;\n }\n\n ACameraManager_deleteCameraIdList(camera_id_list);\n }\n\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"open %s %d\", camera_id.c_str(), camera_orientation);\n\n // open camera\n {\n ACameraDevice_StateCallbacks camera_device_state_callbacks;\n camera_device_state_callbacks.context = this;\n camera_device_state_callbacks.onDisconnected = onDisconnected;\n camera_device_state_callbacks.onError = onError;\n\n ACameraManager_openCamera(camera_manager, camera_id.c_str(), &camera_device_state_callbacks, &camera_device);\n }\n\n // capture request\n {\n ACameraDevice_createCaptureRequest(camera_device, TEMPLATE_PREVIEW, &capture_request);\n\n ACameraOutputTarget_create(image_reader_surface, &image_reader_target);\n ACaptureRequest_addTarget(capture_request, image_reader_target);\n }\n\n // capture session\n {\n ACameraCaptureSession_stateCallbacks camera_capture_session_state_callbacks;\n camera_capture_session_state_callbacks.context = this;\n camera_capture_session_state_callbacks.onActive = onSessionActive;\n camera_capture_session_state_callbacks.onReady = onSessionReady;\n camera_capture_session_state_callbacks.onClosed = onSessionClosed;\n\n ACaptureSessionOutputContainer_create(&capture_session_output_container);\n\n ACaptureSessionOutput_create(image_reader_surface, &capture_session_output);\n\n ACaptureSessionOutputContainer_add(capture_session_output_container, capture_session_output);\n\n ACameraDevice_createCaptureSession(camera_device, capture_session_output_container, &camera_capture_session_state_callbacks, &capture_session);\n\n ACameraCaptureSession_captureCallbacks camera_capture_session_capture_callbacks;\n camera_capture_session_capture_callbacks.context = this;\n camera_capture_session_capture_callbacks.onCaptureStarted = 0;\n camera_capture_session_capture_callbacks.onCaptureProgressed = 0;\n camera_capture_session_capture_callbacks.onCaptureCompleted = onCaptureCompleted;\n camera_capture_session_capture_callbacks.onCaptureFailed = onCaptureFailed;\n camera_capture_session_capture_callbacks.onCaptureSequenceCompleted = onCaptureSequenceCompleted;\n camera_capture_session_capture_callbacks.onCaptureSequenceAborted = onCaptureSequenceAborted;\n camera_capture_session_capture_callbacks.onCaptureBufferLost = 0;\n\n ACameraCaptureSession_setRepeatingRequest(capture_session, &camera_capture_session_capture_callbacks, 1, &capture_request, nullptr);\n }\n\n return 0;\n}\n\nvoid NdkCamera::close()\n{\n __android_log_print(ANDROID_LOG_WARN, \"NdkCamera\", \"close\");\n\n if (capture_session)\n {\n ACameraCaptureSession_stopRepeating(capture_session);\n ACameraCaptureSession_close(capture_session);\n capture_session = 0;\n }\n\n if (camera_device)\n {\n ACameraDevice_close(camera_device);\n camera_device = 0;\n }\n\n if (capture_session_output_container)\n {\n ACaptureSessionOutputContainer_free(capture_session_output_container);\n capture_session_output_container = 0;\n }\n\n if (capture_session_output)\n {\n ACaptureSessionOutput_free(capture_session_output);\n capture_session_output = 0;\n }\n\n if (capture_request)\n {\n ACaptureRequest_free(capture_request);\n capture_request = 0;\n }\n\n if (image_reader_target)\n {\n ACameraOutputTarget_free(image_reader_target);\n image_reader_target = 0;\n }\n\n if (camera_manager)\n {\n ACameraManager_delete(camera_manager);\n camera_manager = 0;\n }\n}\n\nvoid NdkCamera::on_image(const cv::Mat& rgb) const\n{\n}\n\nvoid NdkCamera::on_image(const unsigned char* nv21, int nv21_width, int nv21_height) const\n{\n // rotate nv21\n int w = 0;\n int h = 0;\n int rotate_type = 0;\n {\n if (camera_orientation == 0)\n {\n w = nv21_width;\n h = nv21_height;\n rotate_type = camera_facing == 0 ? 2 : 1;\n }\n if (camera_orientation == 90)\n {\n w = nv21_height;\n h = nv21_width;\n rotate_type = camera_facing == 0 ? 5 : 6;\n }\n if (camera_orientation == 180)\n {\n w = nv21_width;\n h = nv21_height;\n rotate_type = camera_facing == 0 ? 4 : 3;\n }\n if (camera_orientation == 270)\n {\n w = nv21_height;\n h = nv21_width;\n rotate_type = camera_facing == 0 ? 7 : 8;\n }\n }\n\n cv::Mat nv21_rotated(h + h / 2, w, CV_8UC1);\n ncnn::kanna_rotate_yuv420sp(nv21, nv21_width, nv21_height, nv21_rotated.data, w, h, rotate_type);\n\n // nv21_rotated to rgb\n cv::Mat rgb(h, w, CV_8UC3);\n ncnn::yuv420sp2rgb(nv21_rotated.data, w, h, rgb.data);\n\n on_image(rgb);\n}\n\nstatic const int NDKCAMERAWINDOW_ID = 233;\n\nNdkCameraWindow::NdkCameraWindow() : NdkCamera()\n{\n sensor_manager = 0;\n sensor_event_queue = 0;\n accelerometer_sensor = 0;\n win = 0;\n\n accelerometer_orientation = 0;\n\n // sensor\n sensor_manager = ASensorManager_getInstance();\n\n accelerometer_sensor = ASensorManager_getDefaultSensor(sensor_manager, ASENSOR_TYPE_ACCELEROMETER);\n}\n\nNdkCameraWindow::~NdkCameraWindow()\n{\n if (accelerometer_sensor)\n {\n ASensorEventQueue_disableSensor(sensor_event_queue, accelerometer_sensor);\n accelerometer_sensor = 0;\n }\n\n if (sensor_event_queue)\n {\n ASensorManager_destroyEventQueue(sensor_manager, sensor_event_queue);\n sensor_event_queue = 0;\n }\n\n if (win)\n {\n ANativeWindow_release(win);\n }\n}\n\nvoid NdkCameraWindow::set_window(ANativeWindow* _win)\n{\n if (win)\n {\n ANativeWindow_release(win);\n }\n\n win = _win;\n ANativeWindow_acquire(win);\n}\n\nvoid NdkCameraWindow::on_image_render(cv::Mat& rgb) const\n{\n}\n\nvoid NdkCameraWindow::on_image(const unsigned char* nv21, int nv21_width, int nv21_height) const\n{\n // resolve orientation from camera_orientation and accelerometer_sensor\n {\n if (!sensor_event_queue)\n {\n sensor_event_queue = ASensorManager_createEventQueue(sensor_manager, ALooper_prepare(ALOOPER_PREPARE_ALLOW_NON_CALLBACKS), NDKCAMERAWINDOW_ID, 0, 0);\n\n ASensorEventQueue_enableSensor(sensor_event_queue, accelerometer_sensor);\n }\n\n int id = ALooper_pollAll(0, 0, 0, 0);\n if (id == NDKCAMERAWINDOW_ID)\n {\n ASensorEvent e[8];\n ssize_t num_event = 0;\n while (ASensorEventQueue_hasEvents(sensor_event_queue) == 1)\n {\n num_event = ASensorEventQueue_getEvents(sensor_event_queue, e, 8);\n if (num_event < 0)\n break;\n }\n\n if (num_event > 0)\n {\n float acceleration_x = e[num_event - 1].acceleration.x;\n float acceleration_y = e[num_event - 1].acceleration.y;\n float acceleration_z = e[num_event - 1].acceleration.z;\n// __android_log_print(ANDROID_LOG_WARN, \"NdkCameraWindow\", \"x = %f, y = %f, z = %f\", x, y, z);\n\n if (acceleration_y > 7)\n {\n accelerometer_orientation = 0;\n }\n if (acceleration_x < -7)\n {\n accelerometer_orientation = 90;\n }\n if (acceleration_y < -7)\n {\n accelerometer_orientation = 180;\n }\n if (acceleration_x > 7)\n {\n accelerometer_orientation = 270;\n }\n }\n }\n }\n\n // roi crop and rotate nv21\n int nv21_roi_x = 0;\n int nv21_roi_y = 0;\n int nv21_roi_w = 0;\n int nv21_roi_h = 0;\n int roi_x = 0;\n int roi_y = 0;\n int roi_w = 0;\n int roi_h = 0;\n int rotate_type = 0;\n int render_w = 0;\n int render_h = 0;\n int render_rotate_type = 0;\n {\n int win_w = ANativeWindow_getWidth(win);\n int win_h = ANativeWindow_getHeight(win);\n\n if (accelerometer_orientation == 90 || accelerometer_orientation == 270)\n {\n std::swap(win_w, win_h);\n }\n\n const int final_orientation = (camera_orientation + accelerometer_orientation) % 360;\n\n if (final_orientation == 0 || final_orientation == 180)\n {\n if (win_w * nv21_height > win_h * nv21_width)\n {\n roi_w = nv21_width;\n roi_h = (nv21_width * win_h / win_w) / 2 * 2;\n roi_x = 0;\n roi_y = ((nv21_height - roi_h) / 2) / 2 * 2;\n }\n else\n {\n roi_h = nv21_height;\n roi_w = (nv21_height * win_w / win_h) / 2 * 2;\n roi_x = ((nv21_width - roi_w) / 2) / 2 * 2;\n roi_y = 0;\n }\n\n nv21_roi_x = roi_x;\n nv21_roi_y = roi_y;\n nv21_roi_w = roi_w;\n nv21_roi_h = roi_h;\n }\n if (final_orientation == 90 || final_orientation == 270)\n {\n if (win_w * nv21_width > win_h * nv21_height)\n {\n roi_w = nv21_height;\n roi_h = (nv21_height * win_h / win_w) / 2 * 2;\n roi_x = 0;\n roi_y = ((nv21_width - roi_h) / 2) / 2 * 2;\n }\n else\n {\n roi_h = nv21_width;\n roi_w = (nv21_width * win_w / win_h) / 2 * 2;\n roi_x = ((nv21_height - roi_w) / 2) / 2 * 2;\n roi_y = 0;\n }\n\n nv21_roi_x = roi_y;\n nv21_roi_y = roi_x;\n nv21_roi_w = roi_h;\n nv21_roi_h = roi_w;\n }\n\n if (camera_facing == 0)\n {\n if (camera_orientation == 0 && accelerometer_orientation == 0)\n {\n rotate_type = 2;\n }\n if (camera_orientation == 0 && accelerometer_orientation == 90)\n {\n rotate_type = 7;\n }\n if (camera_orientation == 0 && accelerometer_orientation == 180)\n {\n rotate_type = 4;\n }\n if (camera_orientation == 0 && accelerometer_orientation == 270)\n {\n rotate_type = 5;\n }\n if (camera_orientation == 90 && accelerometer_orientation == 0)\n {\n rotate_type = 5;\n }\n if (camera_orientation == 90 && accelerometer_orientation == 90)\n {\n rotate_type = 2;\n }\n if (camera_orientation == 90 && accelerometer_orientation == 180)\n {\n rotate_type = 7;\n }\n if (camera_orientation == 90 && accelerometer_orientation == 270)\n {\n rotate_type = 4;\n }\n if (camera_orientation == 180 && accelerometer_orientation == 0)\n {\n rotate_type = 4;\n }\n if (camera_orientation == 180 && accelerometer_orientation == 90)\n {\n rotate_type = 5;\n }\n if (camera_orientation == 180 && accelerometer_orientation == 180)\n {\n rotate_type = 2;\n }\n if (camera_orientation == 180 && accelerometer_orientation == 270)\n {\n rotate_type = 7;\n }\n if (camera_orientation == 270 && accelerometer_orientation == 0)\n {\n rotate_type = 7;\n }\n if (camera_orientation == 270 && accelerometer_orientation == 90)\n {\n rotate_type = 4;\n }\n if (camera_orientation == 270 && accelerometer_orientation == 180)\n {\n rotate_type = 5;\n }\n if (camera_orientation == 270 && accelerometer_orientation == 270)\n {\n rotate_type = 2;\n }\n }\n else\n {\n if (final_orientation == 0)\n {\n rotate_type = 1;\n }\n if (final_orientation == 90)\n {\n rotate_type = 6;\n }\n if (final_orientation == 180)\n {\n rotate_type = 3;\n }\n if (final_orientation == 270)\n {\n rotate_type = 8;\n }\n }\n\n if (accelerometer_orientation == 0)\n {\n render_w = roi_w;\n render_h = roi_h;\n render_rotate_type = 1;\n }\n if (accelerometer_orientation == 90)\n {\n render_w = roi_h;\n render_h = roi_w;\n render_rotate_type = 8;\n }\n if (accelerometer_orientation == 180)\n {\n render_w = roi_w;\n render_h = roi_h;\n render_rotate_type = 3;\n }\n if (accelerometer_orientation == 270)\n {\n render_w = roi_h;\n render_h = roi_w;\n render_rotate_type = 6;\n }\n }\n\n // crop and rotate nv21\n cv::Mat nv21_croprotated(roi_h + roi_h / 2, roi_w, CV_8UC1);\n {\n const unsigned char* srcY = nv21 + nv21_roi_y * nv21_width + nv21_roi_x;\n unsigned char* dstY = nv21_croprotated.data;\n ncnn::kanna_rotate_c1(srcY, nv21_roi_w, nv21_roi_h, nv21_width, dstY, roi_w, roi_h, roi_w, rotate_type);\n\n const unsigned char* srcUV = nv21 + nv21_width * nv21_height + nv21_roi_y * nv21_width / 2 + nv21_roi_x;\n unsigned char* dstUV = nv21_croprotated.data + roi_w * roi_h;\n ncnn::kanna_rotate_c2(srcUV, nv21_roi_w / 2, nv21_roi_h / 2, nv21_width, dstUV, roi_w / 2, roi_h / 2, roi_w, rotate_type);\n }\n\n // nv21_croprotated to rgb\n cv::Mat rgb(roi_h, roi_w, CV_8UC3);\n ncnn::yuv420sp2rgb(nv21_croprotated.data, roi_w, roi_h, rgb.data);\n\n on_image_render(rgb);\n\n // rotate to native window orientation\n cv::Mat rgb_render(render_h, render_w, CV_8UC3);\n ncnn::kanna_rotate_c3(rgb.data, roi_w, roi_h, rgb_render.data, render_w, render_h, render_rotate_type);\n\n ANativeWindow_setBuffersGeometry(win, render_w, render_h, AHARDWAREBUFFER_FORMAT_R8G8B8A8_UNORM);\n\n ANativeWindow_Buffer buf;\n ANativeWindow_lock(win, &buf, NULL);\n\n // scale to target size\n if (buf.format == AHARDWAREBUFFER_FORMAT_R8G8B8A8_UNORM || buf.format == AHARDWAREBUFFER_FORMAT_R8G8B8X8_UNORM)\n {\n for (int y = 0; y < render_h; y++)\n {\n const unsigned char* ptr = rgb_render.ptr(y);\n unsigned char* outptr = (unsigned char*)buf.bits + buf.stride * 4 * y;\n\n int x = 0;\n#if __ARM_NEON\n for (; x + 7 < render_w; x += 8)\n {\n uint8x8x3_t _rgb = vld3_u8(ptr);\n uint8x8x4_t _rgba;\n _rgba.val[0] = _rgb.val[0];\n _rgba.val[1] = _rgb.val[1];\n _rgba.val[2] = _rgb.val[2];\n _rgba.val[3] = vdup_n_u8(255);\n vst4_u8(outptr, _rgba);\n\n ptr += 24;\n outptr += 32;\n }\n#endif // __ARM_NEON\n for (; x < render_w; x++)\n {\n outptr[0] = ptr[0];\n outptr[1] = ptr[1];\n outptr[2] = ptr[2];\n outptr[3] = 255;\n\n ptr += 3;\n outptr += 4;\n }\n }\n }\n\n ANativeWindow_unlockAndPost(win);\n}\n" }, { "path": "ncnn-android-yolov7_face/app/src/main/jni/ndkcamera.h", "content": "// Tencent is pleased to support the open source community by making ncnn available.\n//\n// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.\n//\n// Licensed under the BSD 3-Clause License (the \"License\"); you may not use this file except\n// in compliance with the License. You may obtain a copy of the License at\n//\n// https://opensource.org/licenses/BSD-3-Clause\n//\n// Unless required by applicable law or agreed to in writing, software distributed\n// under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR\n// CONDITIONS OF ANY KIND, either express or implied. See the License for the\n// specific language governing permissions and limitations under the License.\n\n#ifndef NDKCAMERA_H\n#define NDKCAMERA_H\n\n#include \n#include \n#include \n#include \n#include \n#include \n#include \n\n#include \n\nclass NdkCamera\n{\npublic:\n NdkCamera();\n virtual ~NdkCamera();\n\n // facing 0=front 1=back\n int open(int camera_facing = 0);\n void close();\n\n virtual void on_image(const cv::Mat& rgb) const;\n\n virtual void on_image(const unsigned char* nv21, int nv21_width, int nv21_height) const;\n\npublic:\n int camera_facing;\n int camera_orientation;\n\nprivate:\n ACameraManager* camera_manager;\n ACameraDevice* camera_device;\n AImageReader* image_reader;\n ANativeWindow* image_reader_surface;\n ACameraOutputTarget* image_reader_target;\n ACaptureRequest* capture_request;\n ACaptureSessionOutputContainer* capture_session_output_container;\n ACaptureSessionOutput* capture_session_output;\n ACameraCaptureSession* capture_session;\n};\n\nclass NdkCameraWindow : public NdkCamera\n{\npublic:\n NdkCameraWindow();\n virtual ~NdkCameraWindow();\n\n void set_window(ANativeWindow* win);\n\n virtual void on_image_render(cv::Mat& rgb) const;\n\n virtual void on_image(const unsigned char* nv21, int nv21_width, int nv21_height) const;\n\npublic:\n mutable int accelerometer_orientation;\n\nprivate:\n ASensorManager* sensor_manager;\n mutable ASensorEventQueue* sensor_event_queue;\n const ASensor* accelerometer_sensor;\n ANativeWindow* win;\n};\n\n#endif // NDKCAMERA_H\n" }, { "path": "ncnn-android-yolov7_face/app/src/main/jni/yoloface.cpp", "content": "// Tencent is pleased to support the open source community by making ncnn available.\n//\n// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.\n//\n// Licensed under the BSD 3-Clause License (the \"License\"); you may not use this file except\n// in compliance with the License. You may obtain a copy of the License at\n//\n// https://opensource.org/licenses/BSD-3-Clause\n//\n// Unless required by applicable law or agreed to in writing, software distributed\n// under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR\n// CONDITIONS OF ANY KIND, either express or implied. See the License for the\n// specific language governing permissions and limitations under the License.\n\n#include \"yoloface.h\"\n\n#include \n#include \n\n#include \"cpu.h\"\n#define clip(x, y) (x < 0 ? 0 : (x > y ? y : x))\n\n\nstatic inline float intersection_area(const Object& a, const Object& b)\n{\n cv::Rect_ inter = a.rect & b.rect;\n return inter.area();\n}\n\nstatic void qsort_descent_inplace(std::vector& faceobjects, int left, int right)\n{\n int i = left;\n int j = right;\n float p = faceobjects[(left + right) / 2].prob;\n\n while (i <= j)\n {\n while (faceobjects[i].prob > p)\n i++;\n\n while (faceobjects[j].prob < p)\n j--;\n\n if (i <= j)\n {\n // swap\n std::swap(faceobjects[i], faceobjects[j]);\n\n i++;\n j--;\n }\n }\n\n #pragma omp parallel sections\n {\n #pragma omp section\n {\n if (left < j) qsort_descent_inplace(faceobjects, left, j);\n }\n #pragma omp section\n {\n if (i < right) qsort_descent_inplace(faceobjects, i, right);\n }\n }\n}\n\nstatic void qsort_descent_inplace(std::vector& faceobjects)\n{\n if (faceobjects.empty())\n return;\n\n qsort_descent_inplace(faceobjects, 0, faceobjects.size() - 1);\n}\n\nstatic void nms_sorted_bboxes(const std::vector& faceobjects, std::vector& picked, float nms_threshold)\n{\n picked.clear();\n\n const int n = faceobjects.size();\n\n std::vector areas(n);\n for (int i = 0; i < n; i++)\n {\n areas[i] = faceobjects[i].rect.area();\n }\n\n for (int i = 0; i < n; i++)\n {\n const Object& a = faceobjects[i];\n\n int keep = 1;\n for (int j = 0; j < (int)picked.size(); j++)\n {\n const Object& b = faceobjects[picked[j]];\n\n // intersection over union\n float inter_area = intersection_area(a, b);\n float union_area = areas[i] + areas[picked[j]] - inter_area;\n // float IoU = inter_area / union_area\n if (inter_area / union_area > nms_threshold)\n keep = 0;\n }\n\n if (keep)\n picked.push_back(i);\n }\n}\n\nstatic inline float sigmoid(float x)\n{\n return static_cast(1.f / (1.f + exp(-x)));\n}\n\nstatic void generate_proposals(const ncnn::Mat& anchors, int stride, const ncnn::Mat& in_pad, const ncnn::Mat& feat_blob, float prob_threshold, std::vector& objects)\n{\n const int num_grid = feat_blob.h;\n\n int num_grid_x;\n int num_grid_y;\n if (in_pad.w > in_pad.h)\n {\n num_grid_x = in_pad.w / stride;\n num_grid_y = num_grid / num_grid_x;\n }\n else\n {\n num_grid_y = in_pad.h / stride;\n num_grid_x = num_grid / num_grid_y;\n }\n\n const int num_class = feat_blob.w - 5-15;\n\n const int num_anchors = anchors.w / 2;\n\n for (int q = 0; q < num_anchors; q++)\n {\n const float anchor_w = anchors[q * 2];\n const float anchor_h = anchors[q * 2 + 1];\n\n const ncnn::Mat feat = feat_blob.channel(q);\n\n for (int i = 0; i < num_grid_y; i++)\n {\n for (int j = 0; j < num_grid_x; j++)\n {\n const float* featptr = feat.row(i * num_grid_x + j);\n float box_confidence = sigmoid(featptr[4]);\n if (box_confidence >= prob_threshold)\n {\n // find class index with max class score\n int class_index = 0;\n float class_score = -FLT_MAX;\n for (int k = 0; k < num_class; k++)\n {\n float score = featptr[5 + k];// +15];\n if (score > class_score)\n {\n class_index = k;\n class_score = score;\n }\n }\n float confidence = box_confidence * sigmoid(class_score);\n if (confidence >= prob_threshold)\n {\n float dx = sigmoid(featptr[0]);\n float dy = sigmoid(featptr[1]);\n float dw = sigmoid(featptr[2]);\n float dh = sigmoid(featptr[3]);\n\n float pb_cx = (dx * 2.f - 0.5f + j) * stride;\n float pb_cy = (dy * 2.f - 0.5f + i) * stride;\n\n float pb_w = pow(dw * 2.f, 2) * anchor_w;\n float pb_h = pow(dh * 2.f, 2) * anchor_h;\n\n float x0 = pb_cx - pb_w * 0.5f;\n float y0 = pb_cy - pb_h * 0.5f;\n float x1 = pb_cx + pb_w * 0.5f;\n float y1 = pb_cy + pb_h * 0.5f;\n\n Object obj;\n obj.rect.x = x0;\n obj.rect.y = y0;\n obj.rect.width = x1 - x0;\n obj.rect.height = y1 - y0;\n obj.label = class_index;\n obj.prob = confidence;\n for (int l = 0; l < 5; l++)\n {\n Landmarks pt;\n pt.x = (featptr[3 * l + 6] * 2-0.5 + j) * stride;\n pt.y = (featptr[3 * l + 1 + 6] * 2-0.5 + i) * stride;\n pt.score = sigmoid(featptr[3 * l + 2 + 6]);\n obj.pts.push_back(pt);\n }\n objects.push_back(obj);\n }\n }\n }\n }\n }\n}\n\n\n\n\nYoloFace::YoloFace()\n{\n blob_pool_allocator.set_size_compare_ratio(0.f);\n workspace_pool_allocator.set_size_compare_ratio(0.f);\n}\n\nint YoloFace::load(AAssetManager* mgr, const char* modeltype, int _target_size, const float* _mean_vals, const float* _norm_vals, bool use_gpu)\n{\n yoloface.clear();\n blob_pool_allocator.clear();\n workspace_pool_allocator.clear();\n\n ncnn::set_cpu_powersave(2);\n ncnn::set_omp_num_threads(ncnn::get_big_cpu_count());\n\n yoloface.opt = ncnn::Option();\n#if NCNN_VULKAN\n yoloface.opt.use_vulkan_compute = use_gpu;\n#endif\n\n yoloface.opt.num_threads = ncnn::get_big_cpu_count();\n yoloface.opt.blob_allocator = &blob_pool_allocator;\n yoloface.opt.workspace_allocator = &workspace_pool_allocator;\n\n char parampath[256];\n char modelpath[256];\n sprintf(parampath, \"%s.param\", modeltype);\n sprintf(modelpath, \"%s.bin\", modeltype);\n yoloface.load_param(mgr, parampath);\n yoloface.load_model(mgr, modelpath);\n\n target_size = _target_size;\n norm_vals[0] = _norm_vals[0];\n norm_vals[1] = _norm_vals[1];\n norm_vals[2] = _norm_vals[2];\n\n return 0;\n}\n\n\nint YoloFace::detect(const cv::Mat& rgb, std::vector& objects, float prob_threshold, float nms_threshold)\n{\n \n target_size = 640;\n int img_w = rgb.cols;\n int img_h = rgb.rows;\n\n // letterbox pad to multiple of 32\n int w = img_w;\n int h = img_h;\n float scale = 1.f;\n if (w > h)\n {\n scale = (float)target_size / w;\n w = target_size;\n h = h * scale;\n }\n else\n {\n scale = (float)target_size / h;\n h = target_size;\n w = w * scale;\n }\n\n ncnn::Mat in = ncnn::Mat::from_pixels_resize(rgb.data, ncnn::Mat::PIXEL_RGB, img_w, img_h, w, h);\n\n // pad to target_size rectangle\n // yolov5/utils/datasets.py letterbox\n int wpad = target_size - w;//(w + 31) / 32 * 32 - w;\n int hpad = target_size - h;//(h + 31) / 32 * 32 - h;\n ncnn::Mat in_pad;\n ncnn::copy_make_border(in, in_pad, hpad / 2, hpad - hpad / 2, wpad / 2, wpad - wpad / 2, ncnn::BORDER_CONSTANT, 114.f);\n\n\n in_pad.substract_mean_normalize(0, norm_vals);\n\n ncnn::Extractor ex = yoloface.create_extractor();\n\n ex.input(\"images\", in_pad);\n\n std::vector proposals;\n\n // anchor setting from yolov5/models/yolov5s.yaml\n\n\n // stride 8\n {\n ncnn::Mat out;\n ex.extract(\"stride_8\", out);\n\n ncnn::Mat anchors(6);\n anchors[0] = 4.f;\n anchors[1] = 5.f;\n anchors[2] = 6.f;\n anchors[3] = 8.f;\n anchors[4] = 10.f;\n anchors[5] = 12.f;\n\n std::vector objects8;\n generate_proposals(anchors, 8, in_pad, out, prob_threshold, objects8);\n\n proposals.insert(proposals.end(), objects8.begin(), objects8.end());\n }\n\n // stride 16\n {\n ncnn::Mat out;\n\n ex.extract(\"stride_16\", out);\n\n ncnn::Mat anchors(6);\n anchors[0] = 15.f;\n anchors[1] = 19.f;\n anchors[2] = 23.f;\n anchors[3] = 30.f;\n anchors[4] = 39.f;\n anchors[5] = 52.f;\n\n std::vector objects16;\n generate_proposals(anchors, 16, in_pad, out, prob_threshold, objects16);\n\n proposals.insert(proposals.end(), objects16.begin(), objects16.end());\n }\n\n // stride 32\n {\n ncnn::Mat out;\n\n ex.extract(\"stride_32\", out);\n\n ncnn::Mat anchors(6);\n anchors[0] = 72.f;\n anchors[1] = 97.f;\n anchors[2] = 123.f;\n anchors[3] = 164.f;\n anchors[4] = 209.f;\n anchors[5] = 297.f;\n\n std::vector objects32;\n generate_proposals(anchors, 32, in_pad, out, prob_threshold, objects32);\n\n proposals.insert(proposals.end(), objects32.begin(), objects32.end());\n }\n\n // sort all proposals by score from highest to lowest\n qsort_descent_inplace(proposals);\n\n // apply nms with nms_threshold\n std::vector picked;\n nms_sorted_bboxes(proposals, picked, nms_threshold);\n\n int count = picked.size();\n\n objects.resize(count);\n for (int i = 0; i < count; i++)\n {\n objects[i] = proposals[picked[i]];\n\n // adjust offset to original unpadded\n float x0 = (objects[i].rect.x - (wpad / 2)) / scale;\n float y0 = (objects[i].rect.y - (hpad / 2)) / scale;\n float x1 = (objects[i].rect.x + objects[i].rect.width - (wpad / 2)) / scale;\n float y1 = (objects[i].rect.y + objects[i].rect.height - (hpad / 2)) / scale;\n\n for (int j = 0; j < objects[i].pts.size(); j++)\n {\n float x = (objects[i].pts[j].x - (wpad / 2)) / scale;\n float y = (objects[i].pts[j].y - (hpad / 2)) / scale;\n objects[i].pts[j].x = x;\n objects[i].pts[j].y = y;\n }\n\n // clip\n x0 = std::max(std::min(x0, (float)(img_w - 1)), 0.f);\n y0 = std::max(std::min(y0, (float)(img_h - 1)), 0.f);\n x1 = std::max(std::min(x1, (float)(img_w - 1)), 0.f);\n y1 = std::max(std::min(y1, (float)(img_h - 1)), 0.f);\n\n objects[i].rect.x = x0;\n objects[i].rect.y = y0;\n objects[i].rect.width = x1 - x0;\n objects[i].rect.height = y1 - y0;\n }\n\n\n return 0;\n}\n\nint YoloFace::draw(cv::Mat& rgb, const std::vector& objects)\n{\n\n static const unsigned char colors[19][3] = {\n { 54, 67, 244},\n { 99, 30, 233},\n {176, 39, 156},\n {183, 58, 103},\n {181, 81, 63},\n {243, 150, 33},\n {244, 169, 3},\n {212, 188, 0},\n {136, 150, 0},\n { 80, 175, 76},\n { 74, 195, 139},\n { 57, 220, 205},\n { 59, 235, 255},\n { 7, 193, 255},\n { 0, 152, 255},\n { 34, 87, 255},\n { 72, 85, 121},\n {158, 158, 158},\n {139, 125, 96}\n };\n\n int color_index = 0;\n\n for (size_t i = 0; i < objects.size(); i++)\n {\n const Object& obj = objects[i];\n\n const unsigned char* color = colors[color_index % 19];\n color_index++;\n\n cv::Scalar cc(color[0], color[1], color[2]);\n\n cv::rectangle(rgb,obj.rect, cc, 2);\n\n char text[256];\n sprintf(text, \"%.1f%%\", obj.prob * 100);\n\n int baseLine = 0;\n cv::Size label_size = cv::getTextSize(text, cv::FONT_HERSHEY_SIMPLEX, 0.5, 1, &baseLine);\n\n int x = obj.rect.x;\n int y = obj.rect.y - label_size.height - baseLine;\n if (y < 0)\n y = 0;\n if (x + label_size.width > rgb.cols)\n x = rgb.cols - label_size.width;\n\n cv::rectangle(rgb, cv::Rect(cv::Point(x, y), cv::Size(label_size.width, label_size.height + baseLine)), cc, -1);\n\n cv::Scalar textcc = (color[0] + color[1] + color[2] >= 381) ? cv::Scalar(0, 0, 0) : cv::Scalar(255, 255, 255);\n\n cv::putText(rgb, text, cv::Point(x, y + label_size.height), cv::FONT_HERSHEY_SIMPLEX, 0.5, textcc, 1);\n for (int j = 0; j < obj.pts.size(); j++)\n {\n cv::circle(rgb, cv::Point(obj.pts[j].x,obj.pts[j].y), 2, cv::Scalar(0, 255, 0), -1);\n }\n }\n\n return 0;\n}\n" }, { "path": "ncnn-android-yolov7_face/app/src/main/jni/yoloface.h", "content": "// Tencent is pleased to support the open source community by making ncnn available.\n//\n// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.\n//\n// Licensed under the BSD 3-Clause License (the \"License\"); you may not use this file except\n// in compliance with the License. You may obtain a copy of the License at\n//\n// https://opensource.org/licenses/BSD-3-Clause\n//\n// Unless required by applicable law or agreed to in writing, software distributed\n// under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR\n// CONDITIONS OF ANY KIND, either express or implied. See the License for the\n// specific language governing permissions and limitations under the License.\n\n#ifndef YOLOFACE_H\n#define YOLOFACE_H\n\n#include \n\n#include \nstruct Landmarks\n{\n float x;\n float y;\n float score;\n};\nstruct Object\n{\n cv::Rect_ rect;\n int label;\n float prob;\n std::vector pts;\n};\n\n\nclass YoloFace\n{\npublic:\n YoloFace();\n\n int load(const char* modeltype, int target_size, const float* mean_vals, const float* norm_vals, bool use_gpu = false);\n\n int load(AAssetManager* mgr, const char* modeltype, int target_size, const float* mean_vals, const float* norm_vals, bool use_gpu = false);\n\n int detect(const cv::Mat& rgb, std::vector& objects, float prob_threshold = 0.25f, float nms_threshold = 0.45f);\n\n int draw(cv::Mat& rgb, const std::vector& objects);\n\nprivate:\n\n ncnn::Net yoloface;\n\n int target_size;\n float mean_vals[3];\n float norm_vals[3];\n int image_w;\n int image_h;\n int in_w;\n int in_h;\n\n ncnn::UnlockedPoolAllocator blob_pool_allocator;\n ncnn::PoolAllocator workspace_pool_allocator;\n};\n\n#endif // NANODET_H\n" }, { "path": "ncnn-android-yolov7_face/app/src/main/jni/yolofacencnn.cpp", "content": "// Tencent is pleased to support the open source community by making ncnn available.\n//\n// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.\n//\n// Licensed under the BSD 3-Clause License (the \"License\"); you may not use this file except\n// in compliance with the License. You may obtain a copy of the License at\n//\n// https://opensource.org/licenses/BSD-3-Clause\n//\n// Unless required by applicable law or agreed to in writing, software distributed\n// under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR\n// CONDITIONS OF ANY KIND, either express or implied. See the License for the\n// specific language governing permissions and limitations under the License.\n\n#include \n#include \n#include \n\n#include \n\n#include \n\n#include \n#include \n\n#include \n#include \n\n#include \"yoloface.h\"\n\n#include \"ndkcamera.h\"\n\n#include \n#include \n\n#if __ARM_NEON\n#include \n#endif // __ARM_NEON\n\nstatic int draw_unsupported(cv::Mat& rgb)\n{\n const char text[] = \"unsupported\";\n\n int baseLine = 0;\n cv::Size label_size = cv::getTextSize(text, cv::FONT_HERSHEY_SIMPLEX, 1.0, 1, &baseLine);\n\n int y = (rgb.rows - label_size.height) / 2;\n int x = (rgb.cols - label_size.width) / 2;\n\n cv::rectangle(rgb, cv::Rect(cv::Point(x, y), cv::Size(label_size.width, label_size.height + baseLine)),\n cv::Scalar(255, 255, 255), -1);\n\n cv::putText(rgb, text, cv::Point(x, y + label_size.height),\n cv::FONT_HERSHEY_SIMPLEX, 1.0, cv::Scalar(0, 0, 0));\n\n return 0;\n}\n\nstatic int draw_fps(cv::Mat& rgb)\n{\n // resolve moving average\n float avg_fps = 0.f;\n {\n static double t0 = 0.f;\n static float fps_history[10] = {0.f};\n\n double t1 = ncnn::get_current_time();\n if (t0 == 0.f)\n {\n t0 = t1;\n return 0;\n }\n\n float fps = 1000.f / (t1 - t0);\n t0 = t1;\n\n for (int i = 9; i >= 1; i--)\n {\n fps_history[i] = fps_history[i - 1];\n }\n fps_history[0] = fps;\n\n if (fps_history[9] == 0.f)\n {\n return 0;\n }\n\n for (int i = 0; i < 10; i++)\n {\n avg_fps += fps_history[i];\n }\n avg_fps /= 10.f;\n }\n\n char text[32];\n sprintf(text, \"FPS=%.2f\", avg_fps);\n\n int baseLine = 0;\n cv::Size label_size = cv::getTextSize(text, cv::FONT_HERSHEY_SIMPLEX, 0.5, 1, &baseLine);\n\n int y = 0;\n int x = rgb.cols - label_size.width;\n\n cv::rectangle(rgb, cv::Rect(cv::Point(x, y), cv::Size(label_size.width, label_size.height + baseLine)),\n cv::Scalar(255, 255, 255), -1);\n\n cv::putText(rgb, text, cv::Point(x, y + label_size.height),\n cv::FONT_HERSHEY_SIMPLEX, 0.5, cv::Scalar(0, 0, 0));\n\n return 0;\n}\n\nstatic YoloFace* g_yoloface = 0;\nstatic ncnn::Mutex lock;\n\nclass MyNdkCamera : public NdkCameraWindow\n{\npublic:\n virtual void on_image_render(cv::Mat& rgb) const;\n};\n\nvoid MyNdkCamera::on_image_render(cv::Mat& rgb) const\n{\n // nanodet\n {\n ncnn::MutexLockGuard g(lock);\n\n if (g_yoloface)\n {\n std::vector objects;\n g_yoloface->detect(rgb, objects);\n\n g_yoloface->draw(rgb, objects);\n }\n else\n {\n draw_unsupported(rgb);\n }\n }\n\n draw_fps(rgb);\n}\n\nstatic MyNdkCamera* g_camera = 0;\n\nextern \"C\" {\n\nJNIEXPORT jint JNI_OnLoad(JavaVM* vm, void* reserved)\n{\n __android_log_print(ANDROID_LOG_DEBUG, \"ncnn\", \"JNI_OnLoad\");\n\n g_camera = new MyNdkCamera;\n\n return JNI_VERSION_1_4;\n}\n\nJNIEXPORT void JNI_OnUnload(JavaVM* vm, void* reserved)\n{\n __android_log_print(ANDROID_LOG_DEBUG, \"ncnn\", \"JNI_OnUnload\");\n\n {\n ncnn::MutexLockGuard g(lock);\n\n delete g_yoloface;\n g_yoloface = 0;\n }\n\n delete g_camera;\n g_camera = 0;\n}\n\n// public native boolean loadModel(AssetManager mgr, int modelid, int cpugpu);\nJNIEXPORT jboolean JNICALL Java_com_tencent_ncnnyoloface_NcnnYoloFace_loadModel(JNIEnv* env, jobject thiz, jobject assetManager, jint modelid, jint cpugpu)\n{\n if (modelid < 0 || modelid > 6 || cpugpu < 0 || cpugpu > 1)\n {\n return JNI_FALSE;\n }\n\n AAssetManager* mgr = AAssetManager_fromJava(env, assetManager);\n\n __android_log_print(ANDROID_LOG_DEBUG, \"ncnn\", \"loadModel %p\", mgr);\n\n const char* modeltypes[] =\n {\n \"yolov7-lite-e\",\n \"yolov7-tiny\"\n };\n\n const int target_sizes[] =\n {\n 640,\n 640\n };\n\n const float mean_vals[][3] =\n {\n {127.f, 127.f, 127.f},\n };\n\n const float norm_vals[][3] =\n {\n {1 / 255.f, 1 / 255.f, 1 / 255.f},\n {1 / 255.f, 1 / 255.f, 1 / 255.f},\n };\n\n const char* modeltype = modeltypes[(int)modelid];\n int target_size = target_sizes[(int)modelid];\n bool use_gpu = (int)cpugpu == 1;\n\n // reload\n {\n ncnn::MutexLockGuard g(lock);\n\n if (use_gpu && ncnn::get_gpu_count() == 0)\n {\n // no gpu\n delete g_yoloface;\n g_yoloface = 0;\n }\n else\n {\n if (!g_yoloface)\n g_yoloface = new YoloFace;\n g_yoloface->load(mgr, modeltype, target_size, mean_vals[(int)modelid], norm_vals[(int)modelid], use_gpu);\n }\n }\n\n return JNI_TRUE;\n}\n\n// public native boolean openCamera(int facing);\nJNIEXPORT jboolean JNICALL Java_com_tencent_ncnnyoloface_NcnnYoloFace_openCamera(JNIEnv* env, jobject thiz, jint facing)\n{\n if (facing < 0 || facing > 1)\n return JNI_FALSE;\n\n __android_log_print(ANDROID_LOG_DEBUG, \"ncnn\", \"openCamera %d\", facing);\n\n g_camera->open((int)facing);\n\n return JNI_TRUE;\n}\n\n// public native boolean closeCamera();\nJNIEXPORT jboolean JNICALL Java_com_tencent_ncnnyoloface_NcnnYoloFace_closeCamera(JNIEnv* env, jobject thiz)\n{\n __android_log_print(ANDROID_LOG_DEBUG, \"ncnn\", \"closeCamera\");\n\n g_camera->close();\n\n return JNI_TRUE;\n}\n\n// public native boolean setOutputWindow(Surface surface);\nJNIEXPORT jboolean JNICALL Java_com_tencent_ncnnyoloface_NcnnYoloFace_setOutputWindow(JNIEnv* env, jobject thiz, jobject surface)\n{\n ANativeWindow* win = ANativeWindow_fromSurface(env, surface);\n\n __android_log_print(ANDROID_LOG_DEBUG, \"ncnn\", \"setOutputWindow %p\", win);\n\n g_camera->set_window(win);\n\n return JNI_TRUE;\n}\n\n}\n" }, { "path": "ncnn-android-yolov7_face/app/src/main/res/layout/main.xml", "content": "\n\n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\n\n" }, { "path": "ncnn-android-yolov7_face/app/src/main/res/values/strings.xml", "content": "\n\n yolov7face_demo\n \n yolov7-lite-e\n yolov7-tiny\n \n \n CPU\n GPU\n \n\n" }, { "path": "ncnn-android-yolov7_face/build.gradle", "content": "// Top-level build file where you can add configuration options common to all sub-projects/modules.\nbuildscript {\n repositories {\n jcenter()\n google()\n }\n dependencies {\n classpath 'com.android.tools.build:gradle:3.5.0'\n }\n}\n\nallprojects {\n repositories {\n jcenter()\n google()\n }\n}\n" }, { "path": "ncnn-android-yolov7_face/gradle/wrapper/gradle-wrapper.properties", "content": "#Sun Sep 08 23:09:42 CST 2019\ndistributionBase=GRADLE_USER_HOME\ndistributionPath=wrapper/dists\nzipStoreBase=GRADLE_USER_HOME\nzipStorePath=wrapper/dists\ndistributionUrl=https\\://services.gradle.org/distributions/gradle-5.4.1-all.zip\n" }, { "path": "ncnn-android-yolov7_face/gradlew", "content": "#!/usr/bin/env sh\n\n##############################################################################\n##\n## Gradle start up script for UN*X\n##\n##############################################################################\n\n# Attempt to set APP_HOME\n# Resolve links: $0 may be a link\nPRG=\"$0\"\n# Need this for relative symlinks.\nwhile [ -h \"$PRG\" ] ; do\n ls=`ls -ld \"$PRG\"`\n link=`expr \"$ls\" : '.*-> \\(.*\\)$'`\n if expr \"$link\" : '/.*' > /dev/null; then\n PRG=\"$link\"\n else\n PRG=`dirname \"$PRG\"`\"/$link\"\n fi\ndone\nSAVED=\"`pwd`\"\ncd \"`dirname \\\"$PRG\\\"`/\" >/dev/null\nAPP_HOME=\"`pwd -P`\"\ncd \"$SAVED\" >/dev/null\n\nAPP_NAME=\"Gradle\"\nAPP_BASE_NAME=`basename \"$0\"`\n\n# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.\nDEFAULT_JVM_OPTS=\"\"\n\n# Use the maximum available, or set MAX_FD != -1 to use that value.\nMAX_FD=\"maximum\"\n\nwarn () {\n echo \"$*\"\n}\n\ndie () {\n echo\n echo \"$*\"\n echo\n exit 1\n}\n\n# OS specific support (must be 'true' or 'false').\ncygwin=false\nmsys=false\ndarwin=false\nnonstop=false\ncase \"`uname`\" in\n CYGWIN* )\n cygwin=true\n ;;\n Darwin* )\n darwin=true\n ;;\n MINGW* )\n msys=true\n ;;\n NONSTOP* )\n nonstop=true\n ;;\nesac\n\nCLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar\n\n# Determine the Java command to use to start the JVM.\nif [ -n \"$JAVA_HOME\" ] ; then\n if [ -x \"$JAVA_HOME/jre/sh/java\" ] ; then\n # IBM's JDK on AIX uses strange locations for the executables\n JAVACMD=\"$JAVA_HOME/jre/sh/java\"\n else\n JAVACMD=\"$JAVA_HOME/bin/java\"\n fi\n if [ ! -x \"$JAVACMD\" ] ; then\n die \"ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME\n\nPlease set the JAVA_HOME variable in your environment to match the\nlocation of your Java installation.\"\n fi\nelse\n JAVACMD=\"java\"\n which java >/dev/null 2>&1 || die \"ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.\n\nPlease set the JAVA_HOME variable in your environment to match the\nlocation of your Java installation.\"\nfi\n\n# Increase the maximum file descriptors if we can.\nif [ \"$cygwin\" = \"false\" -a \"$darwin\" = \"false\" -a \"$nonstop\" = \"false\" ] ; then\n MAX_FD_LIMIT=`ulimit -H -n`\n if [ $? -eq 0 ] ; then\n if [ \"$MAX_FD\" = \"maximum\" -o \"$MAX_FD\" = \"max\" ] ; then\n MAX_FD=\"$MAX_FD_LIMIT\"\n fi\n ulimit -n $MAX_FD\n if [ $? -ne 0 ] ; then\n warn \"Could not set maximum file descriptor limit: $MAX_FD\"\n fi\n else\n warn \"Could not query maximum file descriptor limit: $MAX_FD_LIMIT\"\n fi\nfi\n\n# For Darwin, add options to specify how the application appears in the dock\nif $darwin; then\n GRADLE_OPTS=\"$GRADLE_OPTS \\\"-Xdock:name=$APP_NAME\\\" \\\"-Xdock:icon=$APP_HOME/media/gradle.icns\\\"\"\nfi\n\n# For Cygwin, switch paths to Windows format before running java\nif $cygwin ; then\n APP_HOME=`cygpath --path --mixed \"$APP_HOME\"`\n CLASSPATH=`cygpath --path --mixed \"$CLASSPATH\"`\n JAVACMD=`cygpath --unix \"$JAVACMD\"`\n\n # We build the pattern for arguments to be converted via cygpath\n ROOTDIRSRAW=`find -L / -maxdepth 1 -mindepth 1 -type d 2>/dev/null`\n SEP=\"\"\n for dir in $ROOTDIRSRAW ; do\n ROOTDIRS=\"$ROOTDIRS$SEP$dir\"\n SEP=\"|\"\n done\n OURCYGPATTERN=\"(^($ROOTDIRS))\"\n # Add a user-defined pattern to the cygpath arguments\n if [ \"$GRADLE_CYGPATTERN\" != \"\" ] ; then\n OURCYGPATTERN=\"$OURCYGPATTERN|($GRADLE_CYGPATTERN)\"\n fi\n # Now convert the arguments - kludge to limit ourselves to /bin/sh\n i=0\n for arg in \"$@\" ; do\n CHECK=`echo \"$arg\"|egrep -c \"$OURCYGPATTERN\" -`\n CHECK2=`echo \"$arg\"|egrep -c \"^-\"` ### Determine if an option\n\n if [ $CHECK -ne 0 ] && [ $CHECK2 -eq 0 ] ; then ### Added a condition\n eval `echo args$i`=`cygpath --path --ignore --mixed \"$arg\"`\n else\n eval `echo args$i`=\"\\\"$arg\\\"\"\n fi\n i=$((i+1))\n done\n case $i in\n (0) set -- ;;\n (1) set -- \"$args0\" ;;\n (2) set -- \"$args0\" \"$args1\" ;;\n (3) set -- \"$args0\" \"$args1\" \"$args2\" ;;\n (4) set -- \"$args0\" \"$args1\" \"$args2\" \"$args3\" ;;\n (5) set -- \"$args0\" \"$args1\" \"$args2\" \"$args3\" \"$args4\" ;;\n (6) set -- \"$args0\" \"$args1\" \"$args2\" \"$args3\" \"$args4\" \"$args5\" ;;\n (7) set -- \"$args0\" \"$args1\" \"$args2\" \"$args3\" \"$args4\" \"$args5\" \"$args6\" ;;\n (8) set -- \"$args0\" \"$args1\" \"$args2\" \"$args3\" \"$args4\" \"$args5\" \"$args6\" \"$args7\" ;;\n (9) set -- \"$args0\" \"$args1\" \"$args2\" \"$args3\" \"$args4\" \"$args5\" \"$args6\" \"$args7\" \"$args8\" ;;\n esac\nfi\n\n# Escape application args\nsave () {\n for i do printf %s\\\\n \"$i\" | sed \"s/'/'\\\\\\\\''/g;1s/^/'/;\\$s/\\$/' \\\\\\\\/\" ; done\n echo \" \"\n}\nAPP_ARGS=$(save \"$@\")\n\n# Collect all arguments for the java command, following the shell quoting and substitution rules\neval set -- $DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS \"\\\"-Dorg.gradle.appname=$APP_BASE_NAME\\\"\" -classpath \"\\\"$CLASSPATH\\\"\" org.gradle.wrapper.GradleWrapperMain \"$APP_ARGS\"\n\n# by default we should be in the correct project dir, but when run from Finder on Mac, the cwd is wrong\nif [ \"$(uname)\" = \"Darwin\" ] && [ \"$HOME\" = \"$PWD\" ]; then\n cd \"$(dirname \"$0\")\"\nfi\n\nexec \"$JAVACMD\" \"$@\"\n" }, { "path": "ncnn-android-yolov7_face/gradlew.bat", "content": "@if \"%DEBUG%\" == \"\" @echo off\n@rem ##########################################################################\n@rem\n@rem Gradle startup script for Windows\n@rem\n@rem ##########################################################################\n\n@rem Set local scope for the variables with windows NT shell\nif \"%OS%\"==\"Windows_NT\" setlocal\n\nset DIRNAME=%~dp0\nif \"%DIRNAME%\" == \"\" set DIRNAME=.\nset APP_BASE_NAME=%~n0\nset APP_HOME=%DIRNAME%\n\n@rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.\nset DEFAULT_JVM_OPTS=\n\n@rem Find java.exe\nif defined JAVA_HOME goto findJavaFromJavaHome\n\nset JAVA_EXE=java.exe\n%JAVA_EXE% -version >NUL 2>&1\nif \"%ERRORLEVEL%\" == \"0\" goto init\n\necho.\necho ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.\necho.\necho Please set the JAVA_HOME variable in your environment to match the\necho location of your Java installation.\n\ngoto fail\n\n:findJavaFromJavaHome\nset JAVA_HOME=%JAVA_HOME:\"=%\nset JAVA_EXE=%JAVA_HOME%/bin/java.exe\n\nif exist \"%JAVA_EXE%\" goto init\n\necho.\necho ERROR: JAVA_HOME is set to an invalid directory: %JAVA_HOME%\necho.\necho Please set the JAVA_HOME variable in your environment to match the\necho location of your Java installation.\n\ngoto fail\n\n:init\n@rem Get command-line arguments, handling Windows variants\n\nif not \"%OS%\" == \"Windows_NT\" goto win9xME_args\n\n:win9xME_args\n@rem Slurp the command line arguments.\nset CMD_LINE_ARGS=\nset _SKIP=2\n\n:win9xME_args_slurp\nif \"x%~1\" == \"x\" goto execute\n\nset CMD_LINE_ARGS=%*\n\n:execute\n@rem Setup the command line\n\nset CLASSPATH=%APP_HOME%\\gradle\\wrapper\\gradle-wrapper.jar\n\n@rem Execute Gradle\n\"%JAVA_EXE%\" %DEFAULT_JVM_OPTS% %JAVA_OPTS% %GRADLE_OPTS% \"-Dorg.gradle.appname=%APP_BASE_NAME%\" -classpath \"%CLASSPATH%\" org.gradle.wrapper.GradleWrapperMain %CMD_LINE_ARGS%\n\n:end\n@rem End local scope for the variables with windows NT shell\nif \"%ERRORLEVEL%\"==\"0\" goto mainEnd\n\n:fail\nrem Set variable GRADLE_EXIT_CONSOLE if you need the _script_ return code instead of\nrem the _cmd.exe /c_ return code!\nif not \"\" == \"%GRADLE_EXIT_CONSOLE%\" exit 1\nexit /b 1\n\n:mainEnd\nif \"%OS%\"==\"Windows_NT\" endlocal\n\n:omega\n" }, { "path": "ncnn-android-yolov7_face/local.properties", "content": "## This file must *NOT* be checked into Version Control Systems,\n# as it contains information specific to your local configuration.\n#\n# Location of the SDK. This is only used by Gradle.\n# For customization when using a Version Control System, please read the\n# header note.\n#Mon Mar 29 09:07:23 CST 2021\nsdk.dir=D\\:\\\\Android\n" }, { "path": "ncnn-android-yolov7_face/settings.gradle", "content": "include ':app'\n" } ]