SYMBOL INDEX (143 symbols across 18 files) FILE: TestCases/test_best_threshold_generation.py function GetDataFrame (line 22) | def GetDataFrame(): function GetResult (line 25) | def GetResult(model): FILE: TestCases/test_detection.py function DrawPoint (line 13) | def DrawPoint(draw, x, y): function ModifyImg (line 17) | def ModifyImg(img): FILE: TestCases/test_verification_on_general_dataset.py function GetDataFrame (line 24) | def GetDataFrame(): function GetResult (line 27) | def GetResult(model): FILE: TestCases/test_verification_on_single_pair.py function _VerifyFolder (line 14) | def _VerifyFolder(path_to_folder, model): function _ShowImage (line 33) | def _ShowImage(img, title): function _GetPersonName (line 40) | def _GetPersonName(filename): FILE: TestCases/verification_text_files/ARFace/validation_test_gen.py function CreateName (line 7) | def CreateName(sex, personID, imageID): function GenPos (line 11) | def GenPos(): function GenNeg (line 27) | def GenNeg(): FILE: TestCases/verification_text_files/LFW/validation_test_gen.py function CreateFilename (line 19) | def CreateFilename(name, idx): function TransforDifferent (line 23) | def TransforDifferent(inputs): function TransforSame (line 31) | def TransforSame(inputs): FILE: UtilsAlign/base/detect.py function layer (line 11) | def layer(op): class Network (line 35) | class Network(object): method __init__ (line 37) | def __init__(self, inputs, trainable=True): method setup (line 48) | def setup(self): method load (line 52) | def load(self, data_path, session, ignore_missing=False): method feed (line 70) | def feed(self, *args): method get_output (line 85) | def get_output(self): method get_unique_name (line 89) | def get_unique_name(self, prefix): method make_var (line 96) | def make_var(self, name, shape): method validate_padding (line 100) | def validate_padding(self, padding): method conv (line 105) | def conv(self, method prelu (line 140) | def prelu(self, inp, name): method max_pool (line 148) | def max_pool(self, inp, k_h, k_w, s_h, s_w, name, padding='SAME'): method fc (line 157) | def fc(self, inp, num_out, name, relu=True): method softmax (line 182) | def softmax(self, target, axis, name=None): class PNet (line 189) | class PNet(Network): method setup (line 190) | def setup(self): class RNet (line 205) | class RNet(Network): method setup (line 206) | def setup(self): class ONet (line 224) | class ONet(Network): method setup (line 225) | def setup(self): function create_mtcnn (line 249) | def create_mtcnn(sess, model_path): function detect_face (line 271) | def detect_face(img, minsize, pnet, rnet, onet, threshold, factor): function bulk_detect_face (line 393) | def bulk_detect_face(images, detection_window_size_ratio, pnet, rnet, on... function bbreg (line 616) | def bbreg(boundingbox,reg): function generateBoundingBox (line 630) | def generateBoundingBox(imap, reg, scale, t): function nms (line 657) | def nms(boxes, threshold, method): function pad (line 690) | def pad(total_boxes, w, h): function rerec (line 725) | def rerec(bboxA): function imresample (line 735) | def imresample(img, sz): FILE: UtilsAlign/bbox.py function _LoadAndAlign (line 7) | def _LoadAndAlign(input, pnet, rnet, onet, image_size, margin): function GetAlignFuncByBoundingBox (line 30) | def GetAlignFuncByBoundingBox(output_size=160, margin=44): FILE: UtilsAlign/common.py function SelectLargest (line 11) | def SelectLargest(bounding_boxes, img_size, strategy=STRATEGY_ALL): function Inputs2ArrayImage (line 47) | def Inputs2ArrayImage(inputs, output_type=np.ndarray, dtype='uint8', siz... function _Gray2RGB (line 96) | def _Gray2RGB(img): FILE: UtilsAlign/database.py function _AlignFolder (line 5) | def _AlignFolder(folder_source, folder_target, align_func): function AlignDatabase (line 41) | def AlignDatabase(source, target, align_func): FILE: UtilsAlign/landmarks.py function Convert (line 8) | def Convert(inputs, landmark_func, output_size, ec_y): function GetAlignFuncByLandmarks (line 20) | def GetAlignFuncByLandmarks(output_size, ec_y): function _GetLargestLandmark_impl (line 24) | def _GetLargestLandmark_impl(inputs, pnet, rnet, onet): function _GetLandmarks_impl (line 39) | def _GetLandmarks_impl(inputs, pnet, rnet, onet): function _LandmarkFunc (line 47) | def _LandmarkFunc(F): function GetLargestLandmark (line 55) | def GetLargestLandmark(): function GetLandmarks (line 58) | def GetLandmarks(): function _Path2PIL (line 61) | def _Path2PIL(path): function _HorizontalEyes (line 67) | def _HorizontalEyes(PILImg, pts): function _Resize (line 73) | def _Resize(PILImg, pts, ec_mc_y): function _Crop (line 86) | def _Crop(PILImg, pts, output_size, ec_y): FILE: UtilsData/dataloader.py function Stack (line 5) | def Stack(arrays): function default_collate (line 9) | def default_collate(batch): class DataLoaderIter (line 28) | class DataLoaderIter(object): method __init__ (line 31) | def __init__(self, loader): method __len__ (line 37) | def __len__(self): method __next__ (line 40) | def __next__(self): method __iter__ (line 47) | def __iter__(self): method _put_indices (line 50) | def _put_indices(self): class DataLoader (line 59) | class DataLoader(object): method __init__ (line 60) | def __init__(self, dataset, batch_size=1, shuffle=False, method __iter__ (line 74) | def __iter__(self): method __len__ (line 77) | def __len__(self): FILE: UtilsData/dataset.py class Dataset (line 3) | class Dataset(object): method __getitem__ (line 4) | def __getitem__(self, index): method __len__ (line 7) | def __len__(self): method __add__ (line 10) | def __add__(self, other): class ConcatDataset (line 14) | class ConcatDataset(Dataset): method cumsum (line 17) | def cumsum(sequence): method __init__ (line 25) | def __init__(self, datasets): method __len__ (line 31) | def __len__(self): method __getitem__ (line 34) | def __getitem__(self, idx): FILE: UtilsData/sampler.py class Sampler (line 3) | class Sampler(object): method __init__ (line 4) | def __init__(self, data_source): method __iter__ (line 7) | def __iter__(self): method __len__ (line 10) | def __len__(self): class SequentialSampler (line 14) | class SequentialSampler(Sampler): method __init__ (line 16) | def __init__(self, data_source): method __iter__ (line 19) | def __iter__(self): method __len__ (line 22) | def __len__(self): class RandomSampler (line 26) | class RandomSampler(Sampler): method __init__ (line 28) | def __init__(self, data_source): method __iter__ (line 31) | def __iter__(self): method __len__ (line 34) | def __len__(self): class BatchSampler (line 38) | class BatchSampler(object): method __init__ (line 54) | def __init__(self, sampler, batch_size, drop_last): method __iter__ (line 59) | def __iter__(self): method __len__ (line 69) | def __len__(self): FILE: data.py function _CountFiles (line 16) | def _CountFiles(root): class DataSetReader (line 27) | class DataSetReader: method __init__ (line 30) | def __init__(self, dir_images): method GetTriplet (line 35) | def GetTriplet(self): method GetDataSize (line 38) | def GetDataSize(self): class PCDReader (line 41) | class PCDReader(DataSetReader): method __init__ (line 42) | def __init__(self, dir_images): method CreateName (line 50) | def CreateName(root, personID, imageID): method GetTriplet (line 55) | def GetTriplet(self): class PEALReader (line 78) | class PEALReader(DataSetReader): method __init__ (line 79) | def __init__(self, dir_images): method CreateName (line 89) | def CreateName(root, dir, imageID): method GetTriplet (line 93) | def GetTriplet(self): class ARFaceReader (line 124) | class ARFaceReader(DataSetReader): method CreateName (line 127) | def CreateName(root, sex, personID, imageID): method GetTriplet (line 132) | def GetTriplet(self): class LFWReader (line 152) | class LFWReader(DataSetReader): method __init__ (line 153) | def __init__(self, dir_images): method GetTriplet (line 168) | def GetTriplet(self): class MixedReader (line 203) | class MixedReader(DataSetReader): method __init__ (line 204) | def __init__(self, list_readers): method GetTriplet (line 207) | def GetTriplet(self): method GetDataSize (line 214) | def GetDataSize(self): function _ReadAndResize (line 217) | def _ReadAndResize(filepath): function _Flip (line 222) | def _Flip(im_array): function TripletGenerator (line 228) | def TripletGenerator(reader): function _ShowImg (line 250) | def _ShowImg(img): function _TestTripletGenerator (line 256) | def _TestTripletGenerator(reader): function TestLFW (line 284) | def TestLFW(): function TestARFace (line 288) | def TestARFace(): function TestPCD (line 292) | def TestPCD(): function TestPEAL (line 296) | def TestPEAL(): function TestMix (line 302) | def TestMix(): FILE: train.py function triplet_loss (line 13) | def triplet_loss(inputs, dist='sqeuclidean', margin='maxplus'): function triplet_loss_np (line 31) | def triplet_loss_np(inputs, dist='sqeuclidean', margin='maxplus'): function check_loss (line 48) | def check_loss(): function GetModel (line 67) | def GetModel(): FILE: utils.py function GetBestThreshold (line 14) | def GetBestThreshold(distance, label): function Verify (line 30) | def Verify(path1, path2, model): function _DistanceEuclidean (line 43) | def _DistanceEuclidean(X, Y): function MergeImage (line 52) | def MergeImage(img1, img2, how='auto', color=(40,40,40), margin='auto', ... FILE: vggface.py function VggFace (line 8) | def VggFace(path=cfg.dir_model, is_origin=False): function preprocess_input (line 68) | def preprocess_input(batch_image):