SYMBOL INDEX (58 symbols across 10 files) FILE: FaceAttribute.py function create_linear_direction_dataset (line 6) | def create_linear_direction_dataset(dataset_dir, output_path = None): function get_direction (line 25) | def get_direction(dataset_a, dataset_b, output_path = None): FILE: Image.py function postprocess_face (line 9) | def postprocess_face(face_tensor): function getBlob (line 16) | def getBlob(aimg, input_size = (128, 128)): function getLatent (line 21) | def getLatent(source_face): function blend_swapped_image (line 28) | def blend_swapped_image(swapped_face, target_image, M): function drawKeypoints (line 89) | def drawKeypoints(image, keypoints, colorBGR, keypointsRadius=2): FILE: ModelFormat.py function save_as_onnx_model (line 7) | def save_as_onnx_model(torch_model_path, save_emap=True, img_size = 128,... FILE: StyleTransferLoss.py class StyleTransferLoss (line 10) | class StyleTransferLoss(nn.Module): method __init__ (line 11) | def __init__(self, device='cuda', face_analysis = None): method extract_face_latent (line 24) | def extract_face_latent(self, image): method forward (line 36) | def forward(self, output_image, target_content): FILE: StyleTransferModel_128.py class StyleTransferModel (line 5) | class StyleTransferModel(nn.Module): method __init__ (line 6) | def __init__(self): method forward (line 51) | def forward(self, target, source): class StyleBlock (line 87) | class StyleBlock(nn.Module): method __init__ (line 88) | def __init__(self, in_channels, out_channels, blockIndex): method normalizeConvRMS (line 98) | def normalizeConvRMS(self, conv): method forward (line 105) | def forward(self, residual, style): FILE: face_align.py function estimate_norm (line 11) | def estimate_norm(lmk, image_size=112,mode='arcface'): function norm_crop (line 33) | def norm_crop(img, landmark, image_size=112, mode='arcface'): function norm_crop2 (line 38) | def norm_crop2(img, landmark, image_size=112, mode='arcface'): function square_crop (line 43) | def square_crop(im, S): function transform (line 58) | def transform(data, center, output_size, scale, rotation): function trans_points2d (line 77) | def trans_points2d(pts, M): function trans_points3d (line 89) | def trans_points3d(pts, M): function trans_points (line 104) | def trans_points(pts, M): FILE: iresnet.py function conv3x3 (line 10) | def conv3x3(in_planes, out_planes, stride=1, groups=1, dilation=1): function conv1x1 (line 22) | def conv1x1(in_planes, out_planes, stride=1): class IBasicBlock (line 31) | class IBasicBlock(nn.Module): method __init__ (line 33) | def __init__(self, inplanes, planes, stride=1, downsample=None, method forward_impl (line 49) | def forward_impl(self, x): method forward (line 62) | def forward(self, x): class IResNet (line 69) | class IResNet(nn.Module): method __init__ (line 71) | def __init__(self, method _make_layer (line 124) | def _make_layer(self, block, planes, blocks, stride=1, dilate=False): method forward (line 150) | def forward(self, x): function _iresnet (line 167) | def _iresnet(arch, block, layers, pretrained, progress, **kwargs): function iresnet18 (line 174) | def iresnet18(pretrained=False, progress=True, **kwargs): function iresnet34 (line 179) | def iresnet34(pretrained=False, progress=True, **kwargs): function iresnet50 (line 184) | def iresnet50(pretrained=False, progress=True, **kwargs): function iresnet100 (line 189) | def iresnet100(pretrained=False, progress=True, **kwargs): function iresnet200 (line 194) | def iresnet200(pretrained=False, progress=True, **kwargs): FILE: swap.py function parse_arguments (line 16) | def parse_arguments(): function get_device (line 30) | def get_device(): function load_model (line 33) | def load_model(model_path): function swap_face (line 40) | def swap_face(model, target_face, source_face_latent): function create_target (line 53) | def create_target(target_image, resolution): function create_source (line 63) | def create_source(source_img_path): function main (line 75) | def main(): FILE: train.py function get_device (line 31) | def get_device(): function train (line 35) | def train(datasetDir, learning_rate=0.0001, model_path=None, outputModel... function saveModel (line 168) | def saveModel(model, outputModelPath): function load_model (line 171) | def load_model(model_path): function swap_face (line 179) | def swap_face(model, target_face, source_face_latent): function validate (line 209) | def validate(modelPath): function main (line 222) | def main(): FILE: weight_transfer.py function arcface_onnx_to_pth (line 6) | def arcface_onnx_to_pth(arcface_onnx_path="~/.insightface/buffalo_l/w600...