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Functions59 in github.com/clausmichele/ViDeNN

⨍ Functions 59◇ Types & classes 5
↓ 6 callersFunctiondata_augmentation
(image, mode)
Temp3-CNN/utilis.py:9
↓ 6 callersFunctionpsnr_scaled
(im1, im2)
model_ViDeNN.py:187
↓ 3 callersFunctiongaussian_noise
(sigma,image)
Temp3-CNN/add_noise_temp3-CNN.py:17
↓ 3 callersMethodload
(self, checkpoint_dir)
Spatial-CNN/model_spatialCNN.py:158
↓ 3 callersMethodload
(self, checkpoint_dir)
Temp3-CNN/model_temp3CNN.py:100
↓ 3 callersMethodsave
(self, iter_num, ckpt_dir, model_name='Spatial-CNN')
Spatial-CNN/model_spatialCNN.py:150
↓ 3 callersMethodsave
(self, iter_num, ckpt_dir, model_name='Temp3-CNN')
Temp3-CNN/model_temp3CNN.py:92
↓ 2 callersFunctionViDeNNDenoise
(ViDeNN)
main_ViDeNN.py:21
↓ 2 callersFunctioncal_psnr
(im1, im2)
Temp3-CNN/model_temp3CNN.py:182
↓ 2 callersFunctiondata_augmentation
(image, mode)
Spatial-CNN/utilis.py:16
↓ 2 callersFunctiondenoiserTest
(TemporalDenoiser)
Temp3-CNN/main_temp3CNN.py:53
↓ 2 callersFunctiondenoiserTrain
(TemporalDenoiser, lr)
Temp3-CNN/main_temp3CNN.py:31
↓ 2 callersFunctiondenoiser_for_temp3_training
(denoiser)
Spatial-CNN/main_spatialCNN.py:53
↓ 2 callersFunctiondenoiser_test
(denoiser)
Spatial-CNN/main_spatialCNN.py:46
↓ 2 callersFunctiondenoiser_train
(denoiser, lr)
Spatial-CNN/main_spatialCNN.py:30
↓ 2 callersMethodevaluate
(self, iter_num, eval_data_noisy, eval_data, summary_merged, summary_writer)
Spatial-CNN/model_spatialCNN.py:48
↓ 2 callersFunctiongaussian_noise
(sigma,image)
Spatial-CNN/add_noise_spatialCNN.py:14
↓ 2 callersFunctionload_data
(filepath='')
Spatial-CNN/utilis.py:66
↓ 2 callersFunctionload_data
(filepath='')
Temp3-CNN/utilis.py:59
↓ 2 callersFunctionload_images
(filelist)
Spatial-CNN/utilis.py:71
↓ 2 callersFunctionload_images
(filelist)
Temp3-CNN/utilis.py:62
↓ 2 callersFunctionpsnr_scaled
(im1, im2)
Spatial-CNN/model_spatialCNN.py:179
↓ 2 callersFunctionpsnr_scaled
(im1, im2)
Temp3-CNN/model_temp3CNN.py:187
↓ 2 callersMethodtest
Test Spatial-CNN
Spatial-CNN/model_spatialCNN.py:120
↓ 1 callersFunctionSpatialCNN
(input, is_training=False, output_channels=3, reuse=tf.AUTO_REUSE)
model_ViDeNN.py:12
↓ 1 callersFunctionSpatialCNN
(input, is_training=True, output_channels=3, reuse=tf.AUTO_REUSE)
Spatial-CNN/model_spatialCNN.py:11
↓ 1 callersFunctionTemp3CNN
(input, is_training=False, output_channels=3, reuse=tf.AUTO_REUSE)
model_ViDeNN.py:23
↓ 1 callersFunctionTemp3CNN
(input, is_training=True, output_channels=3, reuse=tf.AUTO_REUSE)
Temp3-CNN/model_temp3CNN.py:13
↓ 1 callersFunctioncal_psnr
(im1, im2)
Spatial-CNN/model_spatialCNN.py:174
↓ 1 callersMethoddenoise
(self, eval_files, eval_files_noisy, print_psnr, ckpt_dir, save_dir)
model_ViDeNN.py:49
↓ 1 callersFunctiongenerate_patches
()
Spatial-CNN/generate_patches_spatialCNN.py:28
↓ 1 callersFunctiongenerate_patches
()
Temp3-CNN/generate_patches_temp3CNN.py:20
↓ 1 callersMethodload
(self, checkpoint_dir)
model_ViDeNN.py:175
↓ 1 callersFunctionshuffle_in_unison
(a, b)
Spatial-CNN/model_spatialCNN.py:22
↓ 1 callersFunctionshuffle_in_unison
(a, b)
Temp3-CNN/model_temp3CNN.py:25
↓ 1 callersMethodtest
Test Temp3-CNN
Temp3-CNN/model_temp3CNN.py:112
↓ 1 callersFunctiontf_psnr
(im1, im2)
Spatial-CNN/model_spatialCNN.py:170
↓ 1 callersFunctiontf_psnr
(im1, im2)
Temp3-CNN/utilis.py:87
↓ 1 callersMethodtrain
(self, data, data_noisy, eval_data, eval_data_noisy, batch_size, ckpt_dir, epoch, lr, eval_every_epoch=1)
Spatial-CNN/model_spatialCNN.py:76
↓ 1 callersMethodtrain
(self, data, data_noisy, eval_data, eval_data_noisy, batch_size, ckpt_dir, epoch, lr, eval_every_epoch=2)
Temp3-CNN/model_temp3CNN.py:52
Method__enter__
(self)
Spatial-CNN/utilis.py:55
Method__enter__
(self)
Temp3-CNN/utilis.py:48
Method__exit__
(self, type, value, trace)
Spatial-CNN/utilis.py:61
Method__exit__
(self, type, value, trace)
Temp3-CNN/utilis.py:55
Method__init__
(self, sess)
model_ViDeNN.py:36
Method__init__
(self, sess, input_c_dim=3, batch_size=64)
Spatial-CNN/model_spatialCNN.py:29
Method__init__
(self, filepath='')
Spatial-CNN/utilis.py:47
Method__init__
(self, sess, input_c_dim=9, batch_size=32)
Temp3-CNN/model_temp3CNN.py:32
Method__init__
(self, filepath='')
Temp3-CNN/utilis.py:40
Functioncal_psnr
(im1, im2)
Temp3-CNN/utilis.py:80
Functionmain
(_)
main_ViDeNN.py:33
Functionmain
(_)
Spatial-CNN/main_spatialCNN.py:61
Functionmain
(_)
Temp3-CNN/main_temp3CNN.py:61
Functionrealistic_noise
(Ag,Dg,image)
Spatial-CNN/add_noise_spatialCNN.py:22
Functionrealistic_noise
(Ag,Dg,image)
Temp3-CNN/add_noise_temp3-CNN.py:25
Functionsave_images
(filepath, ground_truth, noisy_image=None, clean_image=None)
Temp3-CNN/utilis.py:68
FunctionsortKeyFunc
(s)
Spatial-CNN/main_spatialCNN.py:27
FunctionsortKeyFunc
(s)
Spatial-CNN/generate_patches_spatialCNN.py:25
FunctionsortKeyFunc
(s)
Temp3-CNN/main_temp3CNN.py:28