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Functions212 in github.com/HeZongyao/LMF

⨍ Functions 212◇ Types & classes 51

(self, encoder_spec, imnet_spec=None, hidden_dim=256)

models/lte.py:20

(self, encoder, prenet_q, hypernet_q, imnet_q, imnet_k, imnet_v, local_size=

models/lmciaosr.py:16

(self, dim, window_size, num_heads, qkv_bias=True, qk_scale=None, attn_drop=0., proj_drop=0.)

models/swinir.py:83

(self, dim, input_resolution, num_heads, window_size=7, shift_size=0, mlp_ratio=4., qkv_bias=

models/swinir.py:187

(self, input_resolution, dim, norm_layer=nn.LayerNorm)

models/swinir.py:313

(self, dim, input_resolution, depth, num_heads, window_size, mlp_ratio=4., qkv_bias=True, qk_

models/swinir.py:373

(self, dim, input_resolution, depth, num_heads, window_size, mlp_ratio=4., qkv_bias=True, qk_

models/swinir.py:446

(self, img_size=224, patch_size=4, in_chans=3, embed_dim=96, norm_layer=None)

models/swinir.py:510

(self, img_size=224, patch_size=4, in_chans=3, embed_dim=96, norm_layer=None)

models/swinir.py:553

(self, scale, num_feat)

models/swinir.py:584

(self, scale, num_feat, num_out_ch, input_resolution=None)

models/swinir.py:608

(self, img_size=48, patch_size=1, in_chans=3, embed_dim=180, depths=[6, 6, 6, 6, 6, 6], num_h

models/swinir.py:650

(self, rgb_range, rgb_mean=(0.4488, 0.4371, 0.4040), rgb_std=(1.0, 1.0, 1.0), sign=-1)

models/edsr.py:22

(self, conv, n_feats, kernel_size, bias=True, bn=False, act=nn.ReLU(True), res_scale=1)

models/edsr.py:33

(self, conv, scale, n_feats, bn=False, act=False, bias=True)

models/edsr.py:55

(self, in_dim, out_dim, hidden_list, use_conv=False)

models/mlp.py:9

(self, encoder, imnet_q, imnet_k, imnet_v,

models/ciaosr.py:30

(self, inChannels, growRate, kSize=3)

models/rdn.py:14

models/rdn.py:46

(self, in_dim, out_dim, hidden_dim, hidden_depth, mod_scale=True, mod_shift=True, mod_up_merg

models/lmmlp.py:10

(self, encoder_spec, num_layer=3, hidden_dim=256, out_dim=3)

models/ltep.py:18

(self, layer_name_list, vgg_type='vgg19', use_input_norm=Tr

models/arch_ciaosr/vgg_arch.py:80

models/arch_ciaosr/arch_csnln.py:92

models/arch_ciaosr/arch_csnln.py:127

(self, patch_size=3, stride=1, vgg_layer_list=['relu3_1'],

models/arch_ciaosr/arch_csnln.py:250

(self, patch_size=3, stride=1)

models/arch_ciaosr/arch_csnln.py:320

(self, in_nc=3, out_nc=3, nf=64, n_blocks=16)

models/arch_ciaosr/arch_csnln.py:385

(self, channel=64, reduction=2, ksize=3, scale=2, stride=1, softmax_scale=10, average=True, conv=default_conv)

models/arch_ciaosr/arch_csnln.py:407

datasets/image_folder.py:56

datasets/image_folder.py:83

datasets/wrappers.py:24

datasets/wrappers.py:88

datasets/wrappers.py:168

datasets/wrappers.py:239

datasets/wrappers.py:318

Method_init_weights

models/swinir.py:773

datasets/wrappers.py:50

datasets/wrappers.py:116

datasets/wrappers.py:194

datasets/wrappers.py:269

Functioncalc_psnr

(sr, hr, dataset=None, scale=1, rgb_range=1)

Functioncenter_crop

Crop all images in a folder to a specified size, centering the crop area. :param folder: Directory containing images to be cropped. :par

scripts/resize.py:25

Functioncompute_num_params

(model, text=False)

Functioncontinuous_resize

Continuously resize images in a folder across multiple scale steps and crop to maintain a specific dimension. :param folder: Directory conta

scripts/resize.py:72

Functiondecorator

datasets/datasets.py:8

Functiondecorator

models/models.py:8

Functiondefault_conv

(in_channels, out_channels, kernel_size, bias=True)

models/rcan.py:10

Functiondefault_conv

(in_channels, out_channels, kernel_size, bias=True)

models/edsr.py:15

Functiondefault_conv

(in_channels, out_channels, kernel_size,stride=1, bias=True)

models/arch_ciaosr/arch_csnln.py:11

Methodextra_repr

models/swinir.py:151

Methodextra_repr

models/swinir.py:285

Methodextra_repr

models/swinir.py:343

Methodextra_repr

models/swinir.py:411

models/swinir.py:154

models/swinir.py:289

models/swinir.py:346

models/swinir.py:414

models/swinir.py:534

models/swinir.py:571

models/swinir.py:616

models/swinir.py:851

models/rcan.py:62

models/rcan.py:84

models/rcan.py:103

models/rcan.py:154

Forward function. :param inp: Input image (B, h * w, 3) :param coord: Coordinates (B, H * W, 2) :param cell: Cell ar

models/lmlte.py:624

(self, inp, coord, cell)

models/misc.py:73

(self, inp, coord, cell, bsize=None)

models/liif.py:146

Forward function. :param inp: Input image (B, h * w, 3) :param coord: Coordinates (B, H * W, 2) :param cell: Cell ar

models/lmliif.py:567

(self, inp, coord, cell, bsize=None)

models/lte.py:145

Forward function. :param inp: Input image (B, h * w, 3) :param coord: Coordinates (B, H * W, 2) :param cell: Cell ar

models/lmciaosr.py:618

models/swinir.py:28

Args: x: input features with shape of (num_windows*B, N, C) mask: (0/-inf) mask with shape of (num_windows, Wh*Ww, Wh

models/swinir.py:118

(self, x, x_size)

models/swinir.py:243

models/swinir.py:320

(self, x, x_size)

models/swinir.py:401

(self, x, x_size)

models/swinir.py:485

models/swinir.py:528

(self, x, x_size)

models/swinir.py:566

models/swinir.py:812

models/edsr.py:47

models/edsr.py:136

models/mlp.py:26

Forward function. Args: x: input tensor. coord (Tensor): coordinates tensor. cell (Tensor): cell tensor.

models/ciaosr.py:269

models/rdn.py:23

models/rdn.py:42

models/rdn.py:98

(self, x, mod=None, coord=None, only_layer0=False, skip_layer0=False)

models/lmmlp.py:42

(self, inp, coord, cell)

models/ltep.py:110

models/arch_ciaosr/vgg_arch.py:135

models/arch_ciaosr/arch_csnln.py:119

(self, image1, image2)

models/arch_ciaosr/arch_csnln.py:133

(self, dense_features, img_ref_hr)

models/arch_ciaosr/arch_csnln.py:282

(self, feats_in, feats_ref)

models/arch_ciaosr/arch_csnln.py:346

models/arch_ciaosr/arch_csnln.py:398

models/arch_ciaosr/arch_csnln.py:429

Methodload_state_dict

(self, state_dict, strict=True)

models/edsr.py:150

(dataset_spec, args=None)

datasets/datasets.py:14

(model_spec, args=None, load_sd=False, strict=True)

models/models.py:14

Functionmake_edsr

(n_resblocks=32, n_feats=256, res_scale=0.1, scale=2, no_upsampling=False, rgb_range=1)

models/edsr.py:187

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