MCPcopy Create free account

hub / github.com/Janspiry/Image-Super-Resolution-via-Iterative-Refinement / functions

Functions147 in github.com/Janspiry/Image-Super-Resolution-via-Iterative-Refinement

⨍ Functions 147◇ Types & classes 27
Methodforward
(self, noise_level)
model/sr3_modules/unet.py:23
Methodforward
(self, x, noise_embed)
model/sr3_modules/unet.py:42
Methodforward
(self, x)
model/sr3_modules/unet.py:54
Methodforward
(self, x)
model/sr3_modules/unet.py:64
Methodforward
(self, x)
model/sr3_modules/unet.py:73
Methodforward
(self, x)
model/sr3_modules/unet.py:90
Methodforward
(self, x, time_emb)
model/sr3_modules/unet.py:105
Methodforward
(self, input)
model/sr3_modules/unet.py:123
Methodforward
(self, x, time_emb)
model/sr3_modules/unet.py:154
Methodforward
(self, x, time)
model/sr3_modules/unet.py:235
Methodforward
(self, x, *args, **kwargs)
model/sr3_modules/diffusion.py:248
Methodforward
(self, input)
model/ddpm_modules/unet.py:29
Methodforward
(self, x)
model/ddpm_modules/unet.py:38
Methodforward
(self, x)
model/ddpm_modules/unet.py:48
Methodforward
(self, x)
model/ddpm_modules/unet.py:57
Methodforward
(self, x)
model/ddpm_modules/unet.py:74
Methodforward
(self, x, time_emb)
model/ddpm_modules/unet.py:91
Methodforward
(self, input)
model/ddpm_modules/unet.py:109
Methodforward
(self, x, time_emb)
model/ddpm_modules/unet.py:140
Methodforward
(self, x, time)
model/ddpm_modules/unet.py:220
Methodforward
(self, x, *args, **kwargs)
model/ddpm_modules/diffusion.py:296
Methodget_current_losses
(self)
model/base_model.py:23
Methodget_current_visuals
(self)
model/base_model.py:20
Functionget_paths_from_images
(path)
data/util.py:15
Methodinterpolate
(self, x1, x2, t=None, lam=0.5)
model/ddpm_modules/diffusion.py:243
Methodoptimize_parameters
(self)
model/base_model.py:17
Functionparse
(args)
core/logger.py:21
Functionprepare_process_worker
(wctx, file_subset)
data/prepare_data.py:70
Methodprint_network
(self)
model/base_model.py:26
Methodq_mean_variance
(self, x_start, t)
model/ddpm_modules/diffusion.py:151
Functionresize_worker
(img_file, sizes, resample, lmdb_save=False)
data/prepare_data.py:42
Methodsample
(self, batch_size=1, continous=False)
model/sr3_modules/diffusion.py:203
Methodsample
(self, batch_size=1, continous=False)
model/ddpm_modules/diffusion.py:233
Functionsave_img
(img, img_path, mode='RGB')
core/metrics.py:37
Methodset_loss
(self, device)
model/sr3_modules/diffusion.py:84
Methodset_loss
(self, device)
model/ddpm_modules/diffusion.py:98
Methodset_new_noise_schedule
(self, schedule_opt, device)
model/sr3_modules/diffusion.py:92
Methodset_new_noise_schedule
(self, schedule_opt, device)
model/ddpm_modules/diffusion.py:106
Functionsetup_logger
set up logger
core/logger.py:128
Methodsuper_resolution
(self, x_in, continous=False)
model/ddpm_modules/diffusion.py:239
Functiontensor2img
Converts a torch Tensor into an image Numpy array Input: 4D(B,(3/1),H,W), 3D(C,H,W), or 2D(H,W), any range, RGB channel order Output: 3D(
core/metrics.py:8
Functiontransform2numpy
(img)
data/util.py:45
Functiontransform2tensor
(img, min_max=(0, 1))
data/util.py:56
Functiontransform_augment
(img_list, split='val', min_max=(0, 1))
data/util.py:76
Functionweights_init_kaiming
(m, scale=1)
model/networks.py:28
Functionweights_init_normal
(m, std=0.02)
model/networks.py:13
Functionweights_init_orthogonal
(m)
model/networks.py:45
← previous101–147 of 147, ranked by callers