↓ 10 callersMethod__init__(self, c1, c2, n=1, shortcut=True, g=1, e=0.5)
src/third_part/facelib/detection/yolov5face/models/common.py:108
↓ 9 callersMethod__init__(self, in_channels, nf, emb_dim, ch_mult, num_res_blocks, resolution, attn_resolutions)
src/third_part/codeformer/vqgan_arch.py:230
↓ 4 callersMethod__init__(self, nin, nout, ksize=3, stride=1, pad=1, activ=nn.LeakyReLU)
src/third_part/uvr5_pack/lib_v5/layers_123812KB .py:53
↓ 4 callersMethod__init__(self, nin, nout, ksize=3, stride=1, pad=1, activ=nn.LeakyReLU)
src/third_part/uvr5_pack/lib_v5/layers_33966KB.py:53
↓ 4 callersMethod__init__(self, nin, nout, ksize=3, stride=1, pad=1, activ=nn.LeakyReLU)
src/third_part/uvr5_pack/lib_v5/layers.py:53
↓ 4 callersMethod__init__(self, nin, nout, ksize=3, stride=1, pad=1, activ=nn.LeakyReLU)
src/third_part/uvr5_pack/lib_v5/layers_537227KB.py:53
↓ 4 callersMethod__init__(self, nin, nout, ksize=3, stride=1, pad=1, activ=nn.LeakyReLU)
src/third_part/uvr5_pack/lib_v5/layers_123821KB.py:53
↓ 4 callersMethod__init__(self, nin, nout, ksize=3, stride=1, pad=1, activ=nn.LeakyReLU)
src/third_part/uvr5_pack/lib_v5/layers_new.py:30
↓ 4 callersMethod__init__(self, nin, nout, ksize=3, stride=1, pad=1, activ=nn.LeakyReLU)
src/third_part/uvr5_pack/lib_v5/layers_537238KB.py:53
↓ 3 callersMethod__init__(self, dim_embd=512, n_head=8, n_layers=9,
codebook_size=1024, latent_size=256,
src/third_part/codeformer/codeformer_arch.py:160
↓ 3 callersFunctionwave_to_spectrogram(
wave, hop_length, n_fft, mid_side=False, mid_side_b2=False, reverse=False
)
src/third_part/uvr5_pack/lib_v5/spec_utils.py:30
↓ 2 callersMethod__init__(self, cin, cout, kernel_size, stride, padding, residual=False, *args, **kwargs)
src/third_part/wav2lip/models/conv.py:6
↓ 2 callersFunction_execute(
X_mag_pad, roi_size, n_window, device, model, aggressiveness, is_half=True
)
src/third_part/uvr5_pack/utils.py:30
↓ 2 callersMethoddepthwise_conv(i, o, kernel_size, stride=1, padding=0, bias=False)
src/third_part/facelib/detection/yolov5face/models/common.py:160
↓ 2 callersFunctionletterbox(img, new_shape=(640, 640), color=(114, 114, 114), auto=True, scale_fill=False, scaleup=True)
src/third_part/facelib/detection/yolov5face/utils/datasets.py:5
↓ 2 callersFunctionnon_max_suppressionPerforms Non-Maximum Suppression (NMS) on inference results Returns: detections with shape: nx6 (x1, y1, x2, y2, conf, cls)
src/third_part/facelib/detection/yolov5face/utils/general.py:168