FunctionIOU(ax1, ay1, ax2, ay2, bx1, by1, bx2, by2)
lib/evaluation/sfd/bbox.py:17
Method__init__(self, G_ch=64, dim_z=128, bottom_width=4, resolution=128, G_kernel_size=3, G_attn='64', n_classes=1000,
models/BigGAN/BigGAN.py:55
Method__init__(self, D_ch=64, D_wide=True, resolution=128, D_kernel_size=3, D_attn='64', n_classes=1000, num_D_SVs=1,
models/BigGAN/BigGAN.py:282
Method__init__(self, in_channels, out_channels, kernel_size, stride=1,
padding=0, dilation=1, groups=1, bias=Tr
models/BigGAN/layers.py:101
Method__init__(self, in_features, out_features, bias=True,
num_svs=1, num_itrs=1, eps=1e-12)
models/BigGAN/layers.py:114
Method__init__(self, num_embeddings, embedding_dim, padding_idx=None,
max_norm=None, norm_type=2, scale_grad
models/BigGAN/layers.py:126
Method__init__(self, output_size, input_size, which_linear, eps=1e-5, momentum=0.1,
cross_replica=False, mybn
models/BigGAN/layers.py:276
Method__init__(self, output_size, eps=1e-5, momentum=0.1,
cross_replica=False, mybn=False)
models/BigGAN/layers.py:331
Method__init__(self, in_channels, out_channels,
which_conv=nn.Conv2d, which_bn=bn, activation=None,
models/BigGAN/layers.py:373
Method__init__(self, in_channels, out_channels, which_conv=SNConv2d, wide=True,
preactivation=False, activati
models/BigGAN/layers.py:410
Method__init__(self, in_channel, out_channel, kernel_size, stride=1, padding=0, bias=True)
models/StyleGAN2/model.py:85
Method__init__(self, in_dim, out_dim, bias=True, bias_init=0, lr_mul=1.0, activation=None)
models/StyleGAN2/model.py:111
Method__init__(self, in_channel, out_channel, kernel_size, style_dim, demodulate=True, upsample=False,
down
models/StyleGAN2/model.py:149
Method__init__(self, in_channel, out_channel, kernel_size, style_dim, upsample=False, blur_kernel=[1, 3, 3, 1],
models/StyleGAN2/model.py:254
Method__init__(self, in_channel, style_dim, upsample=True, blur_kernel=[1, 3, 3, 1])
models/StyleGAN2/model.py:271
Method__init__(self, size, style_dim, n_mlp, channel_multiplier=2, blur_kernel=[1, 3, 3, 1], lr_mlp=0.01)
models/StyleGAN2/model.py:286
Method__init__(self, in_channel, out_channel, kernel_size, downsample=False, blur_kernel=[1, 3, 3, 1], bias=True,
models/StyleGAN2/model.py:412
Method__init__(self, in_channel, out_channel, blur_kernel=[1, 3, 3, 1])
models/StyleGAN2/model.py:443
Method__init__(self, size, channel_multiplier=2, blur_kernel=[1, 3, 3, 1])
models/StyleGAN2/model.py:454