Method__init__(self, cin, cout, kernel_size, stride, padding, residual=False, *args, **kwargs)
src/third_part/wav2lip/models/conv.py:22
Method__init__(self, cin, cout, kernel_size, stride, padding, output_padding=0, *args, **kwargs)
src/third_part/wav2lip/models/conv.py:34
Method__init__(self, embed_dim, nhead=8, dim_mlp=2048, dropout=0.0, activation="gelu")
src/third_part/codeformer/codeformer_arch.py:99
Method__init__(self, codebook_size, emb_dim, num_hiddens, straight_through=False, kl_weight=5e-4, temp_init=1.0)
src/third_part/codeformer/vqgan_arch.py:88
Method__init__(self, nf, emb_dim, ch_mult, res_blocks, img_size, attn_resolutions)
src/third_part/codeformer/vqgan_arch.py:277
Method__init__(self, img_size, nf, ch_mult, quantizer="nearest", res_blocks=2, attn_resolutions=[16], codebook_size=1024, em
src/third_part/codeformer/vqgan_arch.py:328
Functionaugment(X, y, reduction_rate, reduction_mask, mixup_rate, mixup_alpha)
src/third_part/uvr5_pack/lib_v5/dataset.py:90
Methodbatched_detect_faces Arguments: frames: a list of PIL.Image, or np.array(shape=[n, h, w, c], type=np.uint8, BGR format). c
src/third_part/facelib/detection/retinaface/retinaface.py:309
Functionbboxlog(x1, y1, x2, y2, axc, ayc, aww, ahh)
src/third_part/wav2lip/face_detection/detection/sfd/bbox.py:30
Functionbboxloginv(dx, dy, dw, dh, axc, ayc, aww, ahh)
src/third_part/wav2lip/face_detection/detection/sfd/bbox.py:37
Methodenhance_face(self,img_path,i,video_name,test_img_num,bg_upsampler,result_root,input_video,net,face_upsampler)
src/upscale.py:150