SYMBOL INDEX (146 symbols across 22 files)

FILE: acceleration/cuda_postprocess.cpp
  class CudaPostprocess (line 13) | class CudaPostprocess{
    method CudaPostprocess (line 15) | CudaPostprocess(int H, int W){
    method restore (line 25) | py::array_t<uchar> restore(py::array_t<float, py::array::c_style|py::a...
  function PYBIND11_MODULE (line 78) | PYBIND11_MODULE(cuda_postprocess, m)

FILE: face_modules/model.py
  class Flatten (line 10) | class Flatten(Module):
    method forward (line 11) | def forward(self, input):
  function l2_norm (line 14) | def l2_norm(input,axis=1):
  class SEModule (line 19) | class SEModule(Module):
    method __init__ (line 20) | def __init__(self, channels, reduction):
    method forward (line 30) | def forward(self, x):
  class bottleneck_IR (line 39) | class bottleneck_IR(Module):
    method __init__ (line 40) | def __init__(self, in_channel, depth, stride):
    method forward (line 52) | def forward(self, x):
  class bottleneck_IR_SE (line 57) | class bottleneck_IR_SE(Module):
    method __init__ (line 58) | def __init__(self, in_channel, depth, stride):
    method forward (line 74) | def forward(self,x):
  class Bottleneck (line 79) | class Bottleneck(namedtuple('Block', ['in_channel', 'depth', 'stride'])):
  function get_block (line 82) | def get_block(in_channel, depth, num_units, stride = 2):
  function get_blocks (line 85) | def get_blocks(num_layers):
  class Backbone (line 109) | class Backbone(Module):
    method __init__ (line 110) | def __init__(self, num_layers, drop_ratio, mode='ir'):
    method forward (line 137) | def forward(self,x):
  class Conv_block (line 150) | class Conv_block(Module):
    method __init__ (line 151) | def __init__(self, in_c, out_c, kernel=(1, 1), stride=(1, 1), padding=...
    method forward (line 156) | def forward(self, x):
  class Linear_block (line 162) | class Linear_block(Module):
    method __init__ (line 163) | def __init__(self, in_c, out_c, kernel=(1, 1), stride=(1, 1), padding=...
    method forward (line 167) | def forward(self, x):
  class Depth_Wise (line 172) | class Depth_Wise(Module):
    method __init__ (line 173) | def __init__(self, in_c, out_c, residual = False, kernel=(3, 3), strid...
    method forward (line 179) | def forward(self, x):
  class Residual (line 191) | class Residual(Module):
    method __init__ (line 192) | def __init__(self, c, num_block, groups, kernel=(3, 3), stride=(1, 1),...
    method forward (line 198) | def forward(self, x):
  class MobileFaceNet (line 201) | class MobileFaceNet(Module):
    method __init__ (line 202) | def __init__(self, embedding_size):
    method forward (line 218) | def forward(self, x):
  class Arcface (line 248) | class Arcface(Module):
    method __init__ (line 250) | def __init__(self, embedding_size=512, classnum=51332,  s=64., m=0.5):
    method forward (line 262) | def forward(self, embbedings, label):
  class Am_softmax (line 289) | class Am_softmax(Module):
    method __init__ (line 291) | def __init__(self,embedding_size=512,classnum=51332):
    method forward (line 299) | def forward(self,embbedings,label):

FILE: face_modules/mtcnn.py
  class MTCNN (line 12) | class MTCNN():
    method __init__ (line 13) | def __init__(self):
    method align (line 22) | def align(self, img, crop_size=(112, 112), return_trans_inv=False):
    method align_fully (line 34) | def align_fully(self, img, crop_size=(112, 112), return_trans_inv=Fals...
    method align_multi (line 77) | def align_multi(self, img, limit=None, min_face_size=64.0, crop_size=(...
    method get_landmarks (line 92) | def get_landmarks(self, img, min_face_size=32, crop_size=(256, 256), f...
    method detect_faces (line 146) | def detect_faces(self, image, min_face_size=64.0,

FILE: face_modules/mtcnn_pytorch/extract_weights_from_caffe_models.py
  function get_all_weights (line 15) | def get_all_weights(net):

FILE: face_modules/mtcnn_pytorch/src/align_trans.py
  class FaceWarpException (line 26) | class FaceWarpException(Exception):
    method __str__ (line 27) | def __str__(self):
  function get_reference_facial_points (line 32) | def get_reference_facial_points(output_size=None,
  function get_affine_transform_matrix (line 163) | def get_affine_transform_matrix(src_pts, dst_pts):
  function warp_and_crop_face (line 210) | def warp_and_crop_face(src_img,

FILE: face_modules/mtcnn_pytorch/src/box_utils.py
  function nms (line 5) | def nms(boxes, overlap_threshold=0.5, mode='union'):
  function convert_to_square (line 71) | def convert_to_square(bboxes):
  function calibrate_box (line 94) | def calibrate_box(bboxes, offsets):
  function get_image_boxes (line 127) | def get_image_boxes(bounding_boxes, img, size=24):
  function correct_bboxes (line 162) | def correct_bboxes(bboxes, width, height):
  function _preprocess (line 226) | def _preprocess(img):

FILE: face_modules/mtcnn_pytorch/src/detector.py
  function detect_faces (line 9) | def detect_faces(image, min_face_size=20.0,

FILE: face_modules/mtcnn_pytorch/src/first_stage.py
  function run_first_stage (line 10) | def run_first_stage(image, net, scale, threshold):
  function _generate_bboxes (line 49) | def _generate_bboxes(probs, offsets, scale, threshold):

FILE: face_modules/mtcnn_pytorch/src/get_nets.py
  class Flatten (line 8) | class Flatten(nn.Module):
    method __init__ (line 10) | def __init__(self):
    method forward (line 13) | def forward(self, x):
  class PNet (line 27) | class PNet(nn.Module):
    method __init__ (line 29) | def __init__(self):
    method forward (line 59) | def forward(self, x):
  class RNet (line 74) | class RNet(nn.Module):
    method __init__ (line 76) | def __init__(self):
    method forward (line 104) | def forward(self, x):
  class ONet (line 119) | class ONet(nn.Module):
    method __init__ (line 121) | def __init__(self):
    method forward (line 155) | def forward(self, x):

FILE: face_modules/mtcnn_pytorch/src/matlab_cp2tform.py
  class MatlabCp2tormException (line 12) | class MatlabCp2tormException(Exception):
    method __str__ (line 13) | def __str__(self):
  function tformfwd (line 17) | def tformfwd(trans, uv):
  function tforminv (line 43) | def tforminv(trans, uv):
  function findNonreflectiveSimilarity (line 66) | def findNonreflectiveSimilarity(uv, xy, options=None):
  function findSimilarity (line 118) | def findSimilarity(uv, xy, options=None):
  function get_similarity_transform (line 159) | def get_similarity_transform(src_pts, dst_pts, reflective=True):
  function cvt_tform_mat_for_cv2 (line 199) | def cvt_tform_mat_for_cv2(trans):
  function get_similarity_transform_for_cv2 (line 227) | def get_similarity_transform_for_cv2(src_pts, dst_pts, reflective=True):

FILE: face_modules/mtcnn_pytorch/src/visualization_utils.py
  function show_bboxes (line 4) | def show_bboxes(img, bounding_boxes, facial_landmarks=[]):

FILE: network/AADLayer.py
  class AADLayer (line 5) | class AADLayer(nn.Module):
    method __init__ (line 6) | def __init__(self, c_x, attr_c, c_id=256):
    method forward (line 20) | def forward(self, h_in, z_attr, z_id):
  class AAD_ResBlk (line 41) | class AAD_ResBlk(nn.Module):
    method __init__ (line 42) | def __init__(self, cin, cout, c_attr, c_id=256):
    method forward (line 60) | def forward(self, h, z_attr, z_id):

FILE: network/AEI_Net.py
  function weight_init (line 7) | def weight_init(m):
  function conv4x4 (line 18) | def conv4x4(in_c, out_c, norm=nn.BatchNorm2d):
  class deconv4x4 (line 26) | class deconv4x4(nn.Module):
    method __init__ (line 27) | def __init__(self, in_c, out_c, norm=nn.BatchNorm2d):
    method forward (line 33) | def forward(self, input, skip):
  class MLAttrEncoder (line 40) | class MLAttrEncoder(nn.Module):
    method __init__ (line 41) | def __init__(self):
    method forward (line 60) | def forward(self, Xt):
  class AADGenerator (line 86) | class AADGenerator(nn.Module):
    method __init__ (line 87) | def __init__(self, c_id=256):
    method forward (line 101) | def forward(self, z_attr, z_id):
  class AEI_Net (line 114) | class AEI_Net(nn.Module):
    method __init__ (line 115) | def __init__(self, c_id=256):
    method forward (line 120) | def forward(self, Xt, z_id):
    method get_attr (line 125) | def get_attr(self, X):

FILE: network/HEAR_Net.py
  function conv4x4 (line 5) | def conv4x4(in_c, out_c):
  function deconv4x4 (line 13) | def deconv4x4(in_c, out_c):
  class HearNet (line 21) | class HearNet(nn.Module):
    method __init__ (line 22) | def __init__(self):
    method forward (line 36) | def forward(self, x):

FILE: network/MultiscaleDiscriminator.py
  class NLayerDiscriminator (line 5) | class NLayerDiscriminator(nn.Module):
    method __init__ (line 6) | def __init__(self, input_nc, ndf=64, n_layers=3, norm_layer=nn.BatchNo...
    method forward (line 46) | def forward(self, input):
  class MultiscaleDiscriminator (line 57) | class MultiscaleDiscriminator(nn.Module):
    method __init__ (line 58) | def __init__(self, input_nc, ndf=64, n_layers=3, norm_layer=nn.BatchNo...
    method singleD_forward (line 75) | def singleD_forward(self, model, input):
    method forward (line 84) | def forward(self, input):

FILE: online_preview.py
  class Screen_Capture (line 22) | class Screen_Capture:
    method __init__ (line 23) | def __init__(self, H, W):
    method read_frame (line 31) | def read_frame(self):

FILE: tmp_script/check_arcface_feature_map.py
  function get_f5p (line 33) | def get_f5p(landmarks):

FILE: train_AEI.py
  function hinge_loss (line 65) | def hinge_loss(X, positive=True):
  function get_grid_image (line 72) | def get_grid_image(X):
  function make_image (line 78) | def make_image(Xs, Xt, Y):

FILE: train_HEAR.py
  function get_numpy_image (line 58) | def get_numpy_image(X):
  function make_image (line 66) | def make_image(Xs, Xt, Y):

FILE: utils/Dataset.py
  class FaceEmbed (line 12) | class FaceEmbed(TensorDataset):
    method __init__ (line 13) | def __init__(self, data_path_list, same_prob=0.8):
    method __getitem__ (line 33) | def __getitem__(self, item):
    method __len__ (line 54) | def __len__(self):
  class With_Identity (line 59) | class With_Identity(TensorDataset):
    method __init__ (line 60) | def __init__(self, root_path, same_prob=0.8):
    method __getitem__ (line 71) | def __getitem__(self, item):
    method __len__ (line 94) | def __len__(self):
  function compose_occlusion (line 98) | def compose_occlusion(face_img, occlusions):
  class AugmentedOcclusions (line 124) | class AugmentedOcclusions(TensorDataset):
    method __init__ (line 125) | def __init__(self, face_img_root, hand_sets, obj_sets, same_prob=0.5):
    method gen_occlusion (line 145) | def gen_occlusion(self):
    method __getitem__ (line 163) | def __getitem__(self, item):
    method __len__ (line 179) | def __len__(self):

FILE: utils/download_vggface_dataset.py
  function download_and_save (line 15) | def download_and_save(url, savename):
  function get_all_iamge (line 26) | def get_all_iamge(filename):

FILE: utils/split_hearnet_data.py
  function comp (line 71) | def comp(x):