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Functions245 in github.com/xinntao/facexlib

⨍ Functions 245◇ Types & classes 61
↓ 1 callersFunctionmain
(args)
inference/inference_detection.py:9
↓ 1 callersFunctionmain
(img_path, output)
inference/inference_parsing_parsenet.py:42
↓ 1 callersFunctionmain
(args)
inference/inference_tracking.py:13
↓ 1 callersFunctionmain
Scripts about evaluating face quality. Two steps: 1) detect the face region and crop the face 2) evaluate the face quality by
inference/inference_hyperiqa.py:13
↓ 1 callersFunctionmain
(args)
inference/inference_matting.py:11
↓ 1 callersFunctionmain
(args)
inference/inference_headpose.py:13
↓ 1 callersFunctionmain
(img_path, output)
inference/inference_parsing.py:41
↓ 1 callersFunctionmake_bbox_head
(fpn_num=3, inchannels=64, anchor_num=2)
facexlib/detection/retinaface_net.py:185
↓ 1 callersFunctionmake_class_head
(fpn_num=3, inchannels=64, anchor_num=2)
facexlib/detection/retinaface_net.py:178
↓ 1 callersFunctionmake_landmark_head
(fpn_num=3, inchannels=64, anchor_num=2)
facexlib/detection/retinaface_net.py:192
↓ 1 callersFunctionpaste_face_back
(img, face, inverse_affine)
facexlib/utils/face_utils.py:190
↓ 1 callersFunctionpoint_form
Convert prior_boxes to (xmin, ymin, xmax, ymax) representation for comparison to point form ground truth data. Args: boxes: (tensor)
facexlib/detection/retinaface_utils.py:50
↓ 1 callersMethodpredict
Advances the state vector and returns the predicted bounding box estimate.
facexlib/tracking/kalman_tracker.py:91
↓ 1 callersFunctionreadme
()
setup.py:12
↓ 1 callersFunctionresnet50_backbone
Constructs a ResNet-50 model_hyper.
facexlib/assessment/hyperiqa_net.py:235
↓ 1 callersMethodsoftmax_temperature
(tensor, temperature)
facexlib/headpose/hopenet_arch.py:45
↓ 1 callersFunctiontforminv
Function: ---------- apply the inverse of affine transform 'trans' to uv Parameters: ---------- @trans: 3x3 np.array
facexlib/detection/matlab_cp2tform.py:37
↓ 1 callersMethodtransform
(self, image, use_origin_size)
facexlib/detection/retinaface.py:165
↓ 1 callersFunctionvis_parsing_maps
(img, parsing_anno, stride, save_anno_path=None, save_vis_path=None)
inference/inference_parsing_parsenet.py:12
↓ 1 callersFunctionvis_parsing_maps
(img, parsing_anno, stride, save_anno_path=None, save_vis_path=None)
inference/inference_parsing.py:12
↓ 1 callersFunctionvisualize_alignment
(img, landmarks, save_path=None, to_bgr=False)
facexlib/visualization/vis_alignment.py:5
↓ 1 callersFunctionvisualize_headpose
(img, yaw, pitch, roll, save_path=None, to_bgr=False)
facexlib/visualization/vis_headpose.py:81
↓ 1 callersFunctionwarp_and_crop_face
Function: ---------- apply affine transform 'trans' to uv Parameters: ---------- @src_img: 3x3 np.array i
facexlib/detection/align_trans.py:145
↓ 1 callersFunctionwrite_version_py
()
setup.py:52
Method__init__
(self, upscale_factor, face_size=512, crop_ratio=(1, 1),
facexlib/utils/face_restoration_helper.py:51
Method__init__
(self, in_channel, depth, stride)
facexlib/recognition/arcface_arch.py:43
Method__init__
(self, in_channel, depth, stride)
facexlib/recognition/arcface_arch.py:61
Method__init__
(self, num_layers, drop_ratio, mode='ir')
facexlib/recognition/arcface_arch.py:112
Method__init__
(self, in_c, out_c, kernel=(1, 1), stride=(1, 1), padding=(0, 0), groups=1)
facexlib/recognition/arcface_arch.py:142
Method__init__
(self, in_c, out_c, kernel=(1, 1), stride=(1, 1), padding=(0, 0), groups=1)
facexlib/recognition/arcface_arch.py:158
Method__init__
(self, in_c, out_c, residual=False, kernel=(3, 3), stride=(2, 2), padding=(1, 1), groups=1)
facexlib/recognition/arcface_arch.py:172
Method__init__
(self, c, num_block, groups, kernel=(3, 3), stride=(1, 1), padding=(1, 1))
facexlib/recognition/arcface_arch.py:194
Method__init__
(self, embedding_size)
facexlib/recognition/arcface_arch.py:208
Method__init__
(self, lda_out_channels, hyper_in_channels, target_in_size, target_fc1_size, target_fc2_size,
facexlib/assessment/hyperiqa_net.py:39
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
facexlib/assessment/hyperiqa_net.py:123
Method__init__
(self, lda_out_channels, in_chn, block, layers, num_classes=1000)
facexlib/assessment/hyperiqa_net.py:160
Method__init__
(self, paras)
facexlib/assessment/hyperiqa_net.py:246
Method__init__
(self, weight, bias)
facexlib/assessment/hyperiqa_net.py:285
Method__init__
(self, block, layers, num_bins)
facexlib/headpose/hopenet_arch.py:9
Method__init__
(self, in_channels_list, out_channels)
facexlib/detection/retinaface_net.py:68
Method__init__
(self)
facexlib/detection/retinaface_net.py:102
Method__init__
(self, inchannels=512, num_anchors=3)
facexlib/detection/retinaface_net.py:140
Method__init__
(self, inchannels=512, num_anchors=3)
facexlib/detection/retinaface_net.py:154
Method__init__
(self, inchannels=512, num_anchors=3)
facexlib/detection/retinaface_net.py:167
Method__init__
(self, cfg, image_size=None, phase='train')
facexlib/detection/retinaface_utils.py:10
Method__init__
(self, network_name='resnet50', half=False, phase='test', device=None)
facexlib/detection/retinaface.py:73
Method__init__
(self, channels, normalize_shape=None, norm_type='bn')
facexlib/parsing/parsenet.py:16
Method__init__
(self, channels, relu_type='relu')
facexlib/parsing/parsenet.py:54
Method__init__
(self, in_channels, out_channels, kernel_size=3,
facexlib/parsing/parsenet.py:76
Method__init__
(self, c_in, c_out, relu_type='prelu', norm_type='bn', scale='none')
facexlib/parsing/parsenet.py:118
Method__init__
(self, in_chan, out_chan, ks=3, stride=1, padding=1)
facexlib/parsing/bisenet.py:10
Method__init__
(self, in_chan, mid_chan, num_class)
facexlib/parsing/bisenet.py:23
Method__init__
(self, in_chan, out_chan)
facexlib/parsing/bisenet.py:36
Method__init__
(self)
facexlib/parsing/bisenet.py:55
Method__init__
(self, in_chan, out_chan)
facexlib/parsing/bisenet.py:89
Method__init__
(self, in_chan, out_chan, stride=1)
facexlib/parsing/resnet.py:12
Method__init__
(self, x_dim=64, y_dim=64, with_r=False, with_boundary=False)
facexlib/alignment/awing_arch.py:46
Method__init__
(self, x_dim, y_dim, with_r, with_boundary, in_channels, first_one=False, *args, **kwargs)
facexlib/alignment/awing_arch.py:113
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
facexlib/alignment/awing_arch.py:138
Method__init__
(self, in_planes, out_planes)
facexlib/alignment/awing_arch.py:167
Method__init__
(self, num_modules, depth, num_features, first_one=False)
facexlib/alignment/awing_arch.py:212
Method__init__
Initialize a tracker using initial bounding box.
facexlib/tracking/kalman_tracker.py:39
Method__init__
(self, max_age=1, min_hits=3, iou_threshold=0.3)
facexlib/tracking/sort.py:13
Method__init__
(self, in_channels, out_channels, kernel_size,
facexlib/matting/modnet.py:36
Method__init__
(self, in_channels, out_channels, reduction=1)
facexlib/matting/modnet.py:76
Method__init__
(self, backbone)
facexlib/matting/modnet.py:100
Method__init__
(self, hr_channels, enc_channels)
facexlib/matting/modnet.py:134
Method__init__
(self, hr_channels, enc_channels)
facexlib/matting/modnet.py:190
Method__init__
(self, in_channels=3, hr_channels=32, backbone_pretrained=True)
facexlib/matting/modnet.py:222
Method__init__
(self, in_channels)
facexlib/matting/backbone.py:30
Method__init__
(self, inp, oup, stride, expansion, dilation=1)
facexlib/matting/mobilenetv2.py:37
Method__str__
(self)
facexlib/detection/matlab_cp2tform.py:9
Method__str__
(self)
facexlib/detection/align_trans.py:15
Method_load_pretrained_model
(self, pretrained_file)
facexlib/matting/mobilenetv2.py:166
Methodadd_restored_face
(self, face)
facexlib/utils/face_restoration_helper.py:278
Functionanno_parser
Parse the annotation. Args: anno_path: path of anno file (suffix .txt) num_pts: number of landmarks. line_offset: first po
facexlib/alignment/convert_98_to_68_landmarks.py:15
Methodbatched_detect_faces
Arguments: frames: a list of PIL.Image, or np.array(shape=[n, h, w, c], type=np.uint8, BGR format). c
facexlib/detection/retinaface.py:304
Functioncenter_size
Convert prior_boxes to (cx, cy, w, h) representation for comparison to center-size form ground truth data. Args: boxes: (tensor) poin
facexlib/detection/retinaface_utils.py:65
Functioncompute_increased_bbox
(bbox, increase_area, preserve_aspect=True)
facexlib/utils/face_utils.py:6
Functiondraw_and_save
Visualize results
scripts/extract_detection_info_ffhq.py:12
Methodforward
(self, input)
facexlib/recognition/arcface_arch.py:11
Methodforward
(self, x)
facexlib/recognition/arcface_arch.py:31
Methodforward
(self, x)
facexlib/recognition/arcface_arch.py:53
Methodforward
(self, x)
facexlib/recognition/arcface_arch.py:71
Methodforward
(self, x)
facexlib/recognition/arcface_arch.py:130
Methodforward
(self, x)
facexlib/recognition/arcface_arch.py:149
Methodforward
(self, x)
facexlib/recognition/arcface_arch.py:164
Methodforward
(self, x)
facexlib/recognition/arcface_arch.py:179
Methodforward
(self, x)
facexlib/recognition/arcface_arch.py:202
Methodforward
(self, x)
facexlib/recognition/arcface_arch.py:224
Methodforward
(self, img)
facexlib/assessment/hyperiqa_net.py:15
Methodforward
(self, img)
facexlib/assessment/hyperiqa_net.py:77
Methodforward
(self, x)
facexlib/assessment/hyperiqa_net.py:135
Methodforward
(self, x)
facexlib/assessment/hyperiqa_net.py:210
Methodforward
(self, x)
facexlib/assessment/hyperiqa_net.py:268
Methodforward
(self, input_)
facexlib/assessment/hyperiqa_net.py:290
Methodforward
(self, x)
facexlib/headpose/hopenet_arch.py:54
Methodforward
(self, input)
facexlib/detection/retinaface_net.py:52
Methodforward
(self, input)
facexlib/detection/retinaface_net.py:80
Methodforward
(self, x)
facexlib/detection/retinaface_net.py:127
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