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Functions239 in github.com/ZengxiZhang/HUPE

⨍ Functions 239◇ Types & classes 65

code/models/base_model.py:14

(self, opt, step)

code/models/LLFlow_model.py:18

(self, optimizer, T_period, restarts=None, weights=None, eta_min=0, last_epoch=-1)

code/models/lr_scheduler.py:38

(self, _pretrained_=True)

code/models/modules/loss.py:12

norm (bool): normalize/denormalize the stats

code/models/modules/loss.py:35

(self, device='0', vgg=None, weights=None, indices=None, normalize=True)

code/models/modules/loss.py:51

(self, device='0', vgg=None, weights=None, indices=None, normalize=True)

code/models/modules/loss.py:78

(self, eps=1e-6)

code/models/modules/loss.py:111

(self, gan_type, real_label_val=1.0, fake_label_val=0.0)

code/models/modules/loss.py:122

(self, device=torch.device('cpu'))

code/models/modules/loss.py:156

(self, channels, activation='lrelu', kernel=3)

code/models/modules/base_layers.py:42

(self, in_channels, out_channels, activation='lrelu')

code/models/modules/base_layers.py:58

(self, in_channels, out_channels, activation='lrelu')

code/models/modules/base_layers.py:69

(self, in_channels, out_channels, activation='lrelu', stride=1)

code/models/modules/base_layers.py:92

(self, in_channels, out_channels, activation='lrelu')

code/models/modules/base_layers.py:107

(self, kernel_size=2, stride=2)

code/models/modules/base_layers.py:122

(self, kernel_size=2, stride=2)

code/models/modules/base_layers.py:131

(self, in_planes, ratio=16)

code/models/modules/base_layers.py:140

(self, kernel_size=3)

code/models/modules/base_layers.py:157

code/models/modules/base_layers.py:171

(self, in_channels, out_channels, kernel_size=[3, 3], stride=[1, 1], padding

code/models/modules/flow.py:56

code/models/modules/flow.py:153

(self, in_planes, out_planes, kernel_size, stride=1, padding=0, dilation=1, groups=1, relu=True, bn=True, bias

code/models/modules/cbam_fromdehazeflow.py:7

(self, gate_channels, reduction_ratio=16, pool_types=('avg', 'max'))

code/models/modules/cbam_fromdehazeflow.py:27

code/models/modules/cbam_fromdehazeflow.py:78

(self, nf=64, gc=32, bias=True)

code/models/modules/color_encoder.py:14

(self, nf, opt=None)

code/models/modules/color_encoder.py:53

(self, nf=64, gc=32, bias=True)

code/models/modules/RRDBNet_arch.py:13

(self, in_nc, out_nc, nf, nb, gc=32, scale=4, opt=None)

code/models/modules/RRDBNet_arch.py:52

(self, nf=64, gc=32, bias=True)

code/models/modules/ConditionEncoder.py:14

(self, in_nc, out_nc, nf, nb, gc=32, scale=4, opt=None)

code/models/modules/ConditionEncoder.py:63

(self, in_nc, out_nc, nf, nb, gc=32, scale=4, opt=None)

code/models/modules/ConditionEncoder.py:154

code/models/modules/module_util.py:43

(self, in_channels, hidden_channels, actnorm_scale=1.0, flow_permutation="invconv", flow_coup

code/models/modules/FlowStep.py:33

(self, num_channels, LU_decomposed=False)

code/models/modules/Permutations.py:13

(self, in_channels, opt)

code/models/modules/FlowAffineCouplingsAblation.py:12

(self, in_channels=24, kernel_size=3)

code/models/modules/FlowAffineCouplingsAblation.py:195

(self, in_size, out_size, downsample, relu_slope, use_csff=False)

code/models/modules/FlowAffineCouplingsAblation.py:236

(self, image_shape, hidden_channels, K, L=None, actnorm_scale=1.0, flow_perm

code/models/modules/FlowUpsamplerNet.py:17

(self, num_channels, logs_eps=0, cond_channels=0, position=None, consume_ratio=0.5, opt=None)

code/models/modules/Split.py:14

(self, num_features, scale=1.)

code/models/modules/FlowActNorms.py:114

(self, num_features, scale=1.)

code/models/modules/FlowActNorms.py:126

(self, requires_grad=False)

code/models/modules/vgg.py:42

(self, in_nc, out_nc, nf, nb, gc=32, scale=4, K=None, opt=None, step=None)

code/models/modules/LLFlow_arch.py:22

Method__missing__

code/options/options.py:30

Method_check_input_dim

code/models/modules/FlowActNorms.py:117

Functioncalc_style_loss

(input, target)

code/models/modules/loss.py:190

Functioncalculate_psnr

code/utils/util.py:217

Functioncat_feature

(tensor_a, tensor_b)

code/models/modules/thops.py:52

Functioncheck_resume

Check resume states and pretrain_model paths

code/options/options.py:47

Functioncompute_psnr_ssim

(recoverd, clean)

code/utils/util.py:269

Functiondefine_Flow

code/models/networks.py:28

Functiondict2str

dict to string for logger

code/options/options.py:16

Functiondict_constructor

code/utils/util.py:112

Functiondict_representer

code/utils/util.py:109

Functiondict_to_nonedict

code/options/options.py:35

(self, gt, rrdbResults, logdet=0.0, epses=None, y_onehot=None)

code/models/modules/FlowUpsamplerNet.py:207

Functionflow_warp

Warp an image or feature map with optical flow Args: x (Tensor): size (N, C, H, W) flow (Tensor): size (N, H, W, 2), normal value

code/models/modules/module_util.py:58

(self, img1, img2)

code/utils/util.py:68

(self, pred, true, layer='conv5_2')

code/models/modules/loss.py:29

code/models/modules/loss.py:115

(self, input, target_is_real)

code/models/modules/loss.py:150

(self, interp, interp_crit)

code/models/modules/loss.py:166

(self, img1, img2)

code/models/modules/loss.py:235

(self, R, I_att)

code/models/modules/base_layers.py:22

code/models/modules/base_layers.py:53

code/models/modules/base_layers.py:65

code/models/modules/base_layers.py:81

code/models/modules/base_layers.py:102

code/models/modules/base_layers.py:117

code/models/modules/base_layers.py:126

code/models/modules/base_layers.py:135

code/models/modules/base_layers.py:150

code/models/modules/base_layers.py:162

code/models/modules/base_layers.py:175

code/models/modules/base_layers.py:182

code/models/modules/flow.py:68

(self, input, logdet=None, reverse=False)

code/models/modules/flow.py:157

code/models/modules/cbam_fromdehazeflow.py:14

code/models/modules/cbam_fromdehazeflow.py:23

code/models/modules/cbam_fromdehazeflow.py:37

code/models/modules/cbam_fromdehazeflow.py:74

code/models/modules/cbam_fromdehazeflow.py:83

code/models/modules/cbam_fromdehazeflow.py:96

code/models/modules/color_encoder.py:27

code/models/modules/color_encoder.py:45

(self, x, get_steps=False)

code/models/modules/color_encoder.py:77

code/models/modules/RRDBNet_arch.py:26

code/models/modules/RRDBNet_arch.py:44

(self, x, get_steps=False)

code/models/modules/RRDBNet_arch.py:76

code/models/modules/ConditionEncoder.py:27

code/models/modules/ConditionEncoder.py:48

(self, x, get_steps=False)

code/models/modules/ConditionEncoder.py:89

(self, x, get_steps=False)

code/models/modules/ConditionEncoder.py:188

code/models/modules/module_util.py:51

(self, input, logdet=None, reverse=False, rrdbResults=None)

code/models/modules/FlowStep.py:70

log-det = log|abs(|W|)| * pixels

code/models/modules/Permutations.py:45

(self, input: torch.Tensor, logdet=None, reverse=False, ft=None)

code/models/modules/FlowAffineCouplingsAblation.py:73

(self, input_x)

code/models/modules/FlowAffineCouplingsAblation.py:201

(self, x, pha, amp)

code/models/modules/FlowAffineCouplingsAblation.py:218

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