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Functions152 in github.com/cschenxiang/HCT-FFN

↓ 12 callersMethod__init__
(self, n_feats, nm='in')
code/model/hct-ffn.py:108
↓ 12 callersMethod__init__
(self, channel, reduction=16)
code/model/common.py:100
↓ 6 callersMethodget_model
(self)
code/model/__init__.py:57
↓ 6 callersMethodload
(self, apath, cpu=False)
code/loss/__init__.py:147
↓ 5 callersMethodstate_dict
(self, **kwargs)
code/model/__init__.py:63
↓ 5 callersMethodstep
(self)
code/loss/__init__.py:101
↓ 5 callersMethodwrite_log
(self, log, refresh=False)
code/utility.py:93
↓ 4 callersMethod_check_and_load
(self, ext, l, f, verbose=True, load=True)
code/data/srdata.py:128
↓ 3 callersFunctioncreate_window
(window_size, channel)
code/loss/ssim.py:11
↓ 3 callersFunctionget_residue
return residue_channle (RGB)
code/model/hct-ffn.py:68
↓ 3 callersMethodprepare
(self, *args)
code/trainer.py:133
↓ 3 callersMethodset_scale
(self, idx_scale)
code/data/demo.py:39
↓ 3 callersMethodtic
(self)
code/utility.py:23
↓ 2 callersMethod__init__
(self, in_features, hidden_features=None, out_features=None, act_layer=nn.ReLU, drop=0.)
code/util/rlutrans.py:11
↓ 2 callersMethod_scan
(self)
code/data/srdata.py:90
↓ 2 callersFunction_ssim
(img1, img2, window, window_size, channel, size_average = True)
code/loss/ssim.py:17
↓ 2 callersMethodhold
(self)
code/utility.py:29
↓ 2 callersMethodrelease
(self)
code/utility.py:32
↓ 2 callersMethodtest
(self)
code/trainer.py:81
↓ 2 callersMethodtoc
(self)
code/utility.py:26
↓ 1 callersFunction_augment
(img)
code/data/common.py:63
↓ 1 callersMethod_get_index
(self, idx)
code/data/srdata.py:165
↓ 1 callersMethod_load_file
(self, idx)
code/data/srdata.py:171
↓ 1 callersMethod_name_hrbin
(self)
code/data/srdata.py:114
↓ 1 callersMethod_name_lrbin
(self, scale)
code/data/srdata.py:121
↓ 1 callersFunction_np2Tensor
(img)
code/data/common.py:49
↓ 1 callersFunction_set_channel
(img)
code/data/common.py:34
↓ 1 callersMethod_set_filesystem
(self, dir_data)
code/data/srdata.py:108
↓ 1 callersMethodadd_log
(self, log)
code/utility.py:90
↓ 1 callersMethoddisplay_loss
(self, batch)
code/loss/__init__.py:112
↓ 1 callersMethoddone
(self)
code/utility.py:100
↓ 1 callersMethodend_log
(self, n_batches)
code/loss/__init__.py:109
↓ 1 callersFunctionextract_image_patches
Extract patches from images and put them in the C output dimension. :param padding: :param images: [batch, channels, in_rows, in_cols]. A
code/util/tools.py:30
↓ 1 callersMethodforward_chop
(self, x, shave=10, min_size=160000)
code/model/__init__.py:118
↓ 1 callersMethodforward_x8
(self, x, forward_function)
code/model/__init__.py:159
↓ 1 callersFunctiongaussian
(window_size, sigma)
code/loss/ssim.py:7
↓ 1 callersMethodget_loss_module
(self)
code/loss/__init__.py:137
↓ 1 callersMethodget_patch
(self, lr, hr)
code/data/srdata.py:191
↓ 1 callersMethodload
(self, apath, pre_train='.', resume=-1, cpu=False)
code/model/__init__.py:85
↓ 1 callersMethodplot_loss
(self, apath, epoch)
code/loss/__init__.py:120
↓ 1 callersMethodplot_psnr
(self, epoch)
code/utility.py:103
↓ 1 callersFunctionprint_network
(net)
code/main.py:12
↓ 1 callersFunctionreverse_patches
Extract patches from images and put them in the C output dimension. :param padding: :param images: [batch, channels, in_rows, in_cols]. A
code/util/tools.py:60
↓ 1 callersFunctionsame_padding
(images, ksizes, strides, rates)
code/util/tools.py:11
↓ 1 callersMethodsave
(self, trainer, epoch, is_best=False)
code/utility.py:78
↓ 1 callersMethodsave_results
(self, filename, save_list, scale)
code/utility.py:121
↓ 1 callersMethodstart_log
(self)
code/loss/__init__.py:106
↓ 1 callersMethodterminate
(self)
code/trainer.py:141
↓ 1 callersMethodtrain
(self)
code/trainer.py:37
Method__getitem__
(self, idx)
code/data/srdata.py:149
Method__getitem__
(self, idx)
code/data/demo.py:27
Method__init__
(self)
code/utility.py:19
Method__init__
(self, args)
code/utility.py:42
Method__init__
(self, loader)
code/dataloader.py:56
Method__init__
( self, args, dataset, batch_size=1, shuffle=False, sampler=None, batch_sampler=None,
code/dataloader.py:128
Method__init__
(self, args, loader, my_model, my_loss, ckp)
code/trainer.py:16
Method__init__
(self, C, stride)
code/model/hct-ffn.py:12
Method__init__
(self, steps, C)
code/model/hct-ffn.py:29
Method__init__
(self, channel, k, num_ops)
code/model/hct-ffn.py:50
Method__init__
(self, inputchannel, outchannel, kernel_size, stride)
code/model/hct-ffn.py:79
Method__init__
(self, in_channels, out_channels, kernel_size, stride)
code/model/hct-ffn.py:93
Method__init__
(self, n_feats, n_blocks, nm='in')
code/model/hct-ffn.py:125
Method__init__
(self, n_feats, blocks=2)
code/model/hct-ffn.py:140
Method__init__
(self, inchannel=64, outchannel=64)
code/model/hct-ffn.py:152
Method__init__
(self, in_dim=32)
code/model/hct-ffn.py:169
Method__init__
(self, n_feats,layer_num ,steps=4)
code/model/hct-ffn.py:201
Method__init__
(self, n_feats, blocks=2)
code/model/hct-ffn.py:234
Method__init__
(self,args)
code/model/hct-ffn.py:266
Method__init__
(self, args, ckp)
code/model/__init__.py:9
Method__init__
(self, rgb_range, rgb_mean, rgb_std, sign=-1)
code/model/common.py:15
Method__init__
( self, rgb_range, rgb_mean=(0.4488, 0.4371, 0.4040), rgb_std=(1.0, 1.0, 1.0), sign=-1)
code/model/common.py:25
Method__init__
( self, in_channels, out_channels, kernel_size, stride=1, bias=False, bn=True, act=nn.ReLU(Tru
code/model/common.py:37
Method__init__
( self, conv, n_feats, kernel_size, bias=True, bn=False, act=nn.ReLU(True), res_scale=1)
code/model/common.py:50
Method__init__
(self, conv, scale, n_feats, bn=False, act=False, bias=True)
code/model/common.py:71
Method__init__
(self, channels, reduction=16)
code/model/common.py:128
Method__init__
(self, C_in, C_out, kernel_size, stride, padding, affine=True)
code/model/common.py:167
Method__init__
(self, C_in, C_out, kernel_size, stride, padding, affine=True)
code/model/common.py:178
Method__init__
(self, C_in, C_out, kernel_size, stride, padding, dilation, affine=True)
code/model/common.py:188
Method__init__
(self, C_in, C_out, kernel_size, stride, padding, affine=True)
code/model/common.py:198
Method__init__
(self, C_in, C_out, kernel_size, stride, padding, affine=True)
code/model/common.py:236
Method__init__
(self, args, name='', train=True, benchmark=False)
code/data/srdata.py:13
Method__init__
(self, args, name='', train=True, benchmark=True)
code/data/benchmark.py:12
Method__init__
(self, args, name='RainHeavy', train=True, benchmark=False)
code/data/rainheavy.py:5
Method__init__
(self, args)
code/data/__init__.py:7
Method__init__
(self, args, name='RainHeavyTest', train=True, benchmark=False)
code/data/rainheavytest.py:5
Method__init__
(self, args, name='Demo', train=False, benchmark=False)
code/data/demo.py:12
Method__init__
(self, args, ckp)
code/loss/__init__.py:15
Method__init__
(self, window_size = 11, size_average = True)
code/loss/ssim.py:40
Method__init__
(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0.)
code/util/rlutrans.py:29
Method__init__
( self, n_feat = 64,dim=64, num_heads=8, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_dr
code/util/rlutrans.py:63
Method__iter__
(self)
code/dataloader.py:143
Method__len__
(self)
code/data/srdata.py:159
Method__len__
(self)
code/data/demo.py:36
Method_initialize_weights
(self)
code/model/hct-ffn.py:308
Method_make_dir
(path)
code/utility.py:63
Function_ms_loop
(dataset, index_queue, data_queue, collate_fn, scale, seed, init_fn, worker_id)
code/dataloader.py:29
Method_prepare
(tensor)
code/trainer.py:135
Method_scan
(self)
code/data/rainheavy.py:10
Method_scan
(self)
code/data/rainheavytest.py:10
Method_set_filesystem
(self, dir_data)
code/data/benchmark.py:17
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