SYMBOL INDEX (447 symbols across 65 files)

FILE: KDSR-GAN/Metric/DISTS/DISTS_pytorch/DISTS_pt.py
  class L2pooling (line 11) | class L2pooling(nn.Module):
    method __init__ (line 12) | def __init__(self, filter_size=5, stride=2, channels=None, pad_off=0):
    method forward (line 22) | def forward(self, input):
  class DISTS (line 27) | class DISTS(torch.nn.Module):
    method __init__ (line 28) | def __init__(self, load_weights=True):
    method forward_once (line 68) | def forward_once(self, x):
    method forward (line 82) | def forward(self, x, y, require_grad=False, batch_average=False):
  function prepare_image (line 115) | def prepare_image(image, resize=True):

FILE: KDSR-GAN/Metric/DISTS/DISTS_tensorflow/DISTS_tf.py
  class DISTS (line 13) | class DISTS():
    method __init__ (line 14) | def __init__(self):
    method get_features (line 25) | def get_features(self, img):
    method conv_layer (line 53) | def conv_layer(self, input, name):
    method pool_layer (line 61) | def pool_layer(self, input, name):
    method get_conv_filter (line 68) | def get_conv_filter(self, name):
    method get_bias (line 71) | def get_bias(self, name):
    method get_score (line 74) | def get_score(self, img1, img2):

FILE: KDSR-GAN/Metric/LPIPS.py
  function main (line 11) | def main():

FILE: KDSR-GAN/Metric/PSNR.py
  function main (line 12) | def main():

FILE: KDSR-GAN/Metric/dists.py
  class L2pooling (line 13) | class L2pooling(nn.Module):
    method __init__ (line 14) | def __init__(self, filter_size=5, stride=2, channels=None, pad_off=0):
    method forward (line 24) | def forward(self, input):
  class DISTS (line 29) | class DISTS(torch.nn.Module):
    method __init__ (line 30) | def __init__(self, load_weights=True):
    method forward_once (line 70) | def forward_once(self, x):
    method forward (line 84) | def forward(self, x, y, require_grad=False, batch_average=False):
  function prepare_image (line 117) | def prepare_image(image, resize=True):

FILE: KDSR-GAN/kdsrgan/archs/ST_arch.py
  class IDR_DDC (line 8) | class IDR_DDC(nn.Module):
    method __init__ (line 9) | def __init__(self, channels_in, channels_out, kernel_size, reduction):
    method forward (line 21) | def forward(self, x):
  class IDR_DCRB (line 38) | class IDR_DCRB(nn.Module):
    method __init__ (line 39) | def __init__(self, conv, n_feat, kernel_size, reduction):
    method forward (line 46) | def forward(self, x):
  class DAG (line 59) | class DAG(nn.Module):
    method __init__ (line 60) | def __init__(self, conv, n_feat, kernel_size, reduction, n_blocks):
    method forward (line 71) | def forward(self, x):
  class KDSR (line 83) | class KDSR(nn.Module):
    method __init__ (line 84) | def __init__(self, n_feats=128, scale=4,n_sr_blocks = 42, rgb_range=1,...
    method forward (line 111) | def forward(self, x, k_v):
  class KD_IDE (line 135) | class KD_IDE(nn.Module):
    method __init__ (line 136) | def __init__(self,n_feats = 128, n_encoder_res = 6):
    method forward (line 169) | def forward(self, x):
  class BlindSR_ST (line 178) | class BlindSR_ST(nn.Module):
    method __init__ (line 179) | def __init__(self, n_feats=128, n_encoder_res=6, scale=4,n_sr_blocks=4...
    method forward (line 190) | def forward(self, x):

FILE: KDSR-GAN/kdsrgan/archs/TA_arch.py
  class IDR_DDC (line 7) | class IDR_DDC(nn.Module):
    method __init__ (line 8) | def __init__(self, channels_in, channels_out, kernel_size, reduction):
    method forward (line 20) | def forward(self, x):
  class IDR_DCRB (line 37) | class IDR_DCRB(nn.Module):
    method __init__ (line 38) | def __init__(self, conv, n_feat, kernel_size, reduction):
    method forward (line 45) | def forward(self, x):
  class DAG (line 58) | class DAG(nn.Module):
    method __init__ (line 59) | def __init__(self, conv, n_feat, kernel_size, reduction, n_blocks):
    method forward (line 70) | def forward(self, x):
  class KDSR (line 84) | class KDSR(nn.Module):
    method __init__ (line 85) | def __init__(self, n_feats=128, scale=4,n_sr_blocks = 42, rgb_range=1,...
    method forward (line 112) | def forward(self, x, k_v):
  class KD_IDE (line 136) | class KD_IDE(nn.Module):
    method __init__ (line 137) | def __init__(self,n_feats = 128, n_encoder_res = 6):
    method forward (line 170) | def forward(self, x):
  class BlindSR_TA (line 179) | class BlindSR_TA(nn.Module):
    method __init__ (line 180) | def __init__(self, n_feats=128, n_encoder_res=6, scale=4,n_sr_blocks=4...
    method forward (line 191) | def forward(self, x, gt):

FILE: KDSR-GAN/kdsrgan/archs/common.py
  function default_conv (line 7) | def default_conv(in_channels, out_channels, kernel_size, bias=True):
  class ResBlock (line 10) | class ResBlock(nn.Module):
    method __init__ (line 11) | def __init__(
    method forward (line 27) | def forward(self, x):
  class MeanShift (line 33) | class MeanShift(nn.Conv2d):
    method __init__ (line 34) | def __init__(self, rgb_range, rgb_mean, rgb_std, sign=-1):
  class Upsampler (line 45) | class Upsampler(nn.Sequential):
    method __init__ (line 46) | def __init__(self, conv, scale, n_feat, act=False, bias=True):

FILE: KDSR-GAN/kdsrgan/archs/discriminator_arch.py
  class UNetDiscriminatorSN (line 8) | class UNetDiscriminatorSN(nn.Module):
    method __init__ (line 19) | def __init__(self, num_in_ch, num_feat=64, skip_connection=True):
    method forward (line 38) | def forward(self, x):

FILE: KDSR-GAN/kdsrgan/archs/srvgg_arch.py
  class SRVGGNetCompact (line 7) | class SRVGGNetCompact(nn.Module):
    method __init__ (line 22) | def __init__(self, num_in_ch=3, num_out_ch=3, num_feat=64, num_conv=16...
    method forward (line 60) | def forward(self, x):

FILE: KDSR-GAN/kdsrgan/data/kdsrgan_dataset.py
  class KDSRGANDataset (line 17) | class KDSRGANDataset(data.Dataset):
    method __init__ (line 35) | def __init__(self, opt):
    method __getitem__ (line 83) | def __getitem__(self, index):
    method __len__ (line 191) | def __len__(self):

FILE: KDSR-GAN/kdsrgan/data/kdsrgan_paired_dataset.py
  class KDSRGANPairedDataset (line 11) | class KDSRGANPairedDataset(data.Dataset):
    method __init__ (line 41) | def __init__(self, opt):
    method __getitem__ (line 75) | def __getitem__(self, index):
    method __len__ (line 107) | def __len__(self):

FILE: KDSR-GAN/kdsrgan/losses/my_loss.py
  class KDLoss (line 8) | class KDLoss(nn.Module):
    method __init__ (line 14) | def __init__(self, loss_weight=1.0, temperature = 0.15):
    method forward (line 20) | def forward(self, T_fea, S_fea):

FILE: KDSR-GAN/kdsrgan/models/kdsrgan_ST_model.py
  class KDSRGANSTModel (line 18) | class KDSRGANSTModel(SRGANModel):
    method __init__ (line 26) | def __init__(self, opt):
    method init_training_settings (line 58) | def init_training_settings(self):
    method _dequeue_and_enqueue (line 69) | def _dequeue_and_enqueue(self):
    method feed_data (line 106) | def feed_data(self, data):
    method nondist_validation (line 224) | def nondist_validation(self, dataloader, current_iter, tb_logger, save...
    method test (line 230) | def test(self):
    method optimize_parameters (line 241) | def optimize_parameters(self, current_iter):

FILE: KDSR-GAN/kdsrgan/models/kdsrgan_TA_model.py
  class KDSRGANTAModel (line 15) | class KDSRGANTAModel(SRGANModel):
    method __init__ (line 23) | def __init__(self, opt):
    method _dequeue_and_enqueue (line 30) | def _dequeue_and_enqueue(self):
    method feed_data (line 67) | def feed_data(self, data):
    method nondist_validation (line 185) | def nondist_validation(self, dataloader, current_iter, tb_logger, save...
    method optimize_parameters (line 191) | def optimize_parameters(self, current_iter):

FILE: KDSR-GAN/kdsrgan/models/kdsrnet_ST_model.py
  class KDSRNetSTModel (line 19) | class KDSRNetSTModel(SRModel):
    method __init__ (line 27) | def __init__(self, opt):
    method setup_optimizers (line 59) | def setup_optimizers(self):
    method setup_schedulers (line 73) | def setup_schedulers(self):
    method init_training_settings (line 87) | def init_training_settings(self):
    method _dequeue_and_enqueue (line 131) | def _dequeue_and_enqueue(self):
    method feed_data (line 168) | def feed_data(self, data):
    method nondist_validation (line 285) | def nondist_validation(self, dataloader, current_iter, tb_logger, save...
    method test (line 291) | def test(self):
    method optimize_parameters (line 303) | def optimize_parameters(self, current_iter):

FILE: KDSR-GAN/kdsrgan/models/kdsrnet_TA_model.py
  class KDSRNetTAModel (line 15) | class KDSRNetTAModel(SRModel):
    method __init__ (line 23) | def __init__(self, opt):
    method _dequeue_and_enqueue (line 32) | def _dequeue_and_enqueue(self):
    method feed_data (line 69) | def feed_data(self, data):
    method nondist_validation (line 187) | def nondist_validation(self, dataloader, current_iter, tb_logger, save...
    method test (line 193) | def test(self):
    method optimize_parameters (line 205) | def optimize_parameters(self, current_iter):

FILE: KDSR-GAN/kdsrgan/utils.py
  class RealESRGANer (line 14) | class RealESRGANer():
    method __init__ (line 29) | def __init__(self,
    method pre_process (line 68) | def pre_process(self, img):
    method process (line 93) | def process(self):
    method tile_process (line 97) | def tile_process(self):
    method post_process (line 162) | def post_process(self):
    method enhance (line 174) | def enhance(self, img, outscale=None, alpha_upsampler='realesrgan'):
  class PrefetchReader (line 246) | class PrefetchReader(threading.Thread):
    method __init__ (line 254) | def __init__(self, img_list, num_prefetch_queue):
    method run (line 259) | def run(self):
    method __next__ (line 266) | def __next__(self):
    method __iter__ (line 272) | def __iter__(self):
  class IOConsumer (line 276) | class IOConsumer(threading.Thread):
    method __init__ (line 278) | def __init__(self, opt, que, qid):
    method run (line 284) | def run(self):

FILE: KDSR-GAN/scripts/extract_subimages.py
  function main (line 12) | def main(args):
  function extract_subimages (line 43) | def extract_subimages(opt):
  function worker (line 74) | def worker(path, opt):

FILE: KDSR-GAN/scripts/extract_subimages_DF2K.py
  function main (line 12) | def main(args):
  function extract_subimages (line 43) | def extract_subimages(opt):
  function worker (line 74) | def worker(path, opt):

FILE: KDSR-GAN/scripts/generate_meta_info.py
  function main (line 7) | def main(args):

FILE: KDSR-GAN/scripts/generate_meta_info_DF2K.py
  function main (line 7) | def main(args):

FILE: KDSR-GAN/scripts/generate_meta_info_OST.py
  function main (line 7) | def main(args):

FILE: KDSR-GAN/scripts/generate_meta_info_pairdata.py
  function main (line 6) | def main(args):

FILE: KDSR-GAN/scripts/generate_multiscale_DF2K.py
  function main (line 7) | def main(args):

FILE: KDSR-GAN/scripts/pytorch2onnx.py
  function main (line 7) | def main(args):

FILE: KDSR-GAN/setup.py
  function readme (line 12) | def readme():
  function get_git_hash (line 18) | def get_git_hash():
  function get_hash (line 43) | def get_hash():
  function write_version_py (line 52) | def write_version_py():
  function get_version (line 69) | def get_version():
  function get_requirements (line 75) | def get_requirements(filename='requirements.txt'):

FILE: KDSR-GAN/tests/test_dataset.py
  function test_realesrgan_dataset (line 8) | def test_realesrgan_dataset():
  function test_realesrgan_paired_dataset (line 82) | def test_realesrgan_paired_dataset():

FILE: KDSR-GAN/tests/test_discriminator_arch.py
  function test_unetdiscriminatorsn (line 6) | def test_unetdiscriminatorsn():

FILE: KDSR-GAN/tests/test_model.py
  function test_realesrnet_model (line 12) | def test_realesrnet_model():
  function test_realesrgan_model (line 64) | def test_realesrgan_model():

FILE: KDSR-GAN/tests/test_utils.py
  function test_realesrganer (line 7) | def test_realesrganer():

FILE: KDSR-classic/cal_parms.py
  function count_param (line 1) | def count_param(model):

FILE: KDSR-classic/data/__init__.py
  class MyConcatDataset (line 7) | class MyConcatDataset(ConcatDataset):
    method __init__ (line 8) | def __init__(self, datasets):
    method set_scale (line 12) | def set_scale(self, idx_scale):
  class Data (line 16) | class Data:
    method __init__ (line 17) | def __init__(self, args):

FILE: KDSR-classic/data/benchmark.py
  class Benchmark (line 6) | class Benchmark(srdata.SRData):
    method __init__ (line 7) | def __init__(self, args, name='', train=True):
    method _set_filesystem (line 12) | def _set_filesystem(self, dir_data):

FILE: KDSR-classic/data/common.py
  function get_patch (line 9) | def get_patch(hr, patch_size=48, scale=2, multi=False, input_large=False):
  function set_channel (line 22) | def set_channel(hr, n_channels=3):
  function np2Tensor (line 38) | def np2Tensor(hr, rgb_range=255):
  function augment (line 49) | def augment(hr, hflip=True, rot=True):

FILE: KDSR-classic/data/common2.py
  function get_patch (line 9) | def get_patch(*args, patch_size=96, scale=2, multi=False, input_large=Fa...
  function set_channel (line 36) | def set_channel(*args, n_channels=3):
  function np2Tensor (line 52) | def np2Tensor(*args, rgb_range=255):
  function augment (line 63) | def augment(*args, hflip=True, rot=True):

FILE: KDSR-classic/data/df2k.py
  class DF2K (line 5) | class DF2K(multiscalesrdata.SRData):
    method __init__ (line 6) | def __init__(self, args, name='DF2K', train=True, benchmark=False):
    method _scan (line 19) | def _scan(self):
    method _set_filesystem (line 25) | def _set_filesystem(self, dir_data):

FILE: KDSR-classic/data/multiscalesrdata.py
  class SRData (line 14) | class SRData(data.Dataset):
    method __init__ (line 15) | def __init__(self, args, name='', train=True, benchmark=False):
    method _scan (line 69) | def _scan(self):
    method _set_filesystem (line 85) | def _set_filesystem(self, dir_data):
    method _check_and_load (line 92) | def _check_and_load(self, ext, img, f, verbose=True):
    method __getitem__ (line 99) | def __getitem__(self, idx):
    method __len__ (line 107) | def __len__(self):
    method _get_index (line 113) | def _get_index(self, idx):
    method _load_file (line 119) | def _load_file(self, idx):
    method get_patch (line 132) | def get_patch(self, hr):
    method set_scale (line 151) | def set_scale(self, idx_scale):

FILE: KDSR-classic/data/multiscalesrdata2.py
  class SRData (line 14) | class SRData(data.Dataset):
    method __init__ (line 15) | def __init__(self, args, name='', train=True, benchmark=False):
    method _scan (line 69) | def _scan(self):
    method _set_filesystem (line 86) | def _set_filesystem(self, dir_data):
    method _check_and_load (line 93) | def _check_and_load(self, ext, img, f, verbose=True):
    method __getitem__ (line 100) | def __getitem__(self, idx):
    method __len__ (line 108) | def __len__(self):
    method _get_index (line 114) | def _get_index(self, idx):
    method _load_file (line 120) | def _load_file(self, idx):
    method get_patch (line 137) | def get_patch(self, lr, hr):
    method set_scale (line 154) | def set_scale(self, idx_scale):

FILE: KDSR-classic/dataloader.py
  function _ms_loop (line 20) | def _ms_loop(dataset, index_queue, data_queue, collate_fn, scale, seed, ...
  class _MSDataLoaderIter (line 46) | class _MSDataLoaderIter(_DataLoaderIter):
    method __init__ (line 47) | def __init__(self, loader):
  class MSDataLoader (line 117) | class MSDataLoader(DataLoader):
    method __init__ (line 118) | def __init__(
    method __iter__ (line 133) | def __iter__(self):

FILE: KDSR-classic/loss/__init__.py
  class Loss (line 13) | class Loss(nn.modules.loss._Loss):
    method __init__ (line 14) | def __init__(self, args, ckp):
    method forward (line 70) | def forward(self, sr, hr):
    method step (line 87) | def step(self):
    method start_log (line 92) | def start_log(self):
    method end_log (line 95) | def end_log(self, n_batches):
    method display_loss (line 98) | def display_loss(self, batch):
    method plot_loss (line 106) | def plot_loss(self, apath, epoch):
    method get_loss_module (line 120) | def get_loss_module(self):
    method save (line 126) | def save(self, apath):
    method load (line 130) | def load(self, apath, cpu=False):

FILE: KDSR-classic/loss/adversarial.py
  class Adversarial (line 11) | class Adversarial(nn.Module):
    method __init__ (line 12) | def __init__(self, args, gan_type):
    method forward (line 26) | def forward(self, fake, real):
    method state_dict (line 78) | def state_dict(self, *args, **kwargs):

FILE: KDSR-classic/loss/discriminator.py
  class Discriminator (line 5) | class Discriminator(nn.Module):
    method __init__ (line 6) | def __init__(self, args, gan_type='GAN'):
    method forward (line 40) | def forward(self, x):

FILE: KDSR-classic/loss/vgg.py
  class VGG (line 9) | class VGG(nn.Module):
    method __init__ (line 10) | def __init__(self, conv_index, rgb_range=1):
    method forward (line 24) | def forward(self, sr, hr):

FILE: KDSR-classic/main_anisonoise_stage3.py
  function count_param (line 10) | def count_param(model):

FILE: KDSR-classic/main_iso_stage3.py
  function count_param (line 10) | def count_param(model):

FILE: KDSR-classic/model/__init__.py
  class Model (line 8) | class Model(nn.Module):
    method __init__ (line 9) | def __init__(self, args, ckp):
    method forward (line 38) | def forward(self, lr,lr_bic):
    method get_model (line 51) | def get_model(self):
    method state_dict (line 57) | def state_dict(self, **kwargs):
    method save (line 61) | def save(self, apath, epoch, is_best=False):
    method load (line 79) | def load(self, apath, pre_train='.', resume=-1, cpu=False):
    method forward_chop (line 104) | def forward_chop(self, x, shave=10, min_size=160000):
    method forward_x8 (line 145) | def forward_x8(self, x, forward_function):

FILE: KDSR-classic/model/blindsr.py
  function make_model (line 8) | def make_model(args):
  class CZSR (line 12) | class CZSR(nn.Module):
    method __init__ (line 13) | def __init__(self, args, conv=common.default_conv):
    method forward (line 60) | def forward(self, lr,lr_bic):

FILE: KDSR-classic/model/common.py
  function default_conv (line 7) | def default_conv(in_channels, out_channels, kernel_size, bias=True):
  class ResBlock (line 10) | class ResBlock(nn.Module):
    method __init__ (line 11) | def __init__(
    method forward (line 27) | def forward(self, x):
  class MeanShift (line 33) | class MeanShift(nn.Conv2d):
    method __init__ (line 34) | def __init__(self, rgb_range, rgb_mean, rgb_std, sign=-1):
  class Upsampler (line 45) | class Upsampler(nn.Sequential):
    method __init__ (line 46) | def __init__(self, conv, scale, n_feat, act=False, bias=True):

FILE: KDSR-classic/model_ST/__init__.py
  class Model (line 8) | class Model(nn.Module):
    method __init__ (line 9) | def __init__(self, args, ckp):
    method forward (line 38) | def forward(self, x):
    method get_model (line 51) | def get_model(self):
    method state_dict (line 57) | def state_dict(self, **kwargs):
    method save (line 61) | def save(self, apath, epoch, is_best=False):
    method load (line 79) | def load(self, apath, pre_train='.', resume=-1, cpu=False):
    method forward_chop (line 104) | def forward_chop(self, x, shave=10, min_size=160000):
    method forward_x8 (line 145) | def forward_x8(self, x, forward_function):

FILE: KDSR-classic/model_ST/blindsr.py
  function make_model (line 7) | def make_model(args):
  class IDR_DDC (line 10) | class IDR_DDC(nn.Module):
    method __init__ (line 11) | def __init__(self, channels_in, channels_out, kernel_size, reduction):
    method forward (line 23) | def forward(self, x):
  class IDR_DCRB (line 40) | class IDR_DCRB(nn.Module):
    method __init__ (line 41) | def __init__(self, conv, n_feat, kernel_size, reduction):
    method forward (line 48) | def forward(self, x):
  class DAG (line 61) | class DAG(nn.Module):
    method __init__ (line 62) | def __init__(self, conv, n_feat, kernel_size, reduction, n_blocks):
    method forward (line 73) | def forward(self, x):
  class KDSR (line 85) | class KDSR(nn.Module):
    method __init__ (line 86) | def __init__(self, args, conv=common.default_conv):
    method forward (line 118) | def forward(self, x, k_v):
  class KD_IDE (line 142) | class KD_IDE(nn.Module):
    method __init__ (line 143) | def __init__(self,args):
    method forward (line 180) | def forward(self, x):
  class BlindSR (line 193) | class BlindSR(nn.Module):
    method __init__ (line 194) | def __init__(self, args):
    method forward (line 203) | def forward(self, x):

FILE: KDSR-classic/model_ST/common.py
  function default_conv (line 7) | def default_conv(in_channels, out_channels, kernel_size, bias=True):
  class MeanShift (line 11) | class MeanShift(nn.Conv2d):
    method __init__ (line 12) | def __init__(self, rgb_range, rgb_mean, rgb_std, sign=-1):
  class Upsampler (line 23) | class Upsampler(nn.Sequential):
    method __init__ (line 24) | def __init__(self, conv, scale, n_feat, act=False, bias=True):

FILE: KDSR-classic/model_TA/__init__.py
  class Model (line 8) | class Model(nn.Module):
    method __init__ (line 9) | def __init__(self, args, ckp):
    method forward (line 38) | def forward(self, x, deg_repre):
    method get_model (line 51) | def get_model(self):
    method state_dict (line 57) | def state_dict(self, **kwargs):
    method save (line 61) | def save(self, apath, epoch, is_best=False):
    method load (line 79) | def load(self, apath, pre_train='.', resume=-1, cpu=False):
    method forward_chop (line 104) | def forward_chop(self, x, deg_repre, shave=10, min_size=160000):
    method forward_x8 (line 156) | def forward_x8(self, x, forward_function):

FILE: KDSR-classic/model_TA/blindsr.py
  function make_model (line 7) | def make_model(args):
  class IDR_DDC (line 10) | class IDR_DDC(nn.Module):
    method __init__ (line 11) | def __init__(self, channels_in, channels_out, kernel_size, reduction):
    method forward (line 23) | def forward(self, x):
  class IDR_DCRB (line 40) | class IDR_DCRB(nn.Module):
    method __init__ (line 41) | def __init__(self, conv, n_feat, kernel_size, reduction):
    method forward (line 48) | def forward(self, x):
  class DAG (line 61) | class DAG(nn.Module):
    method __init__ (line 62) | def __init__(self, conv, n_feat, kernel_size, reduction, n_blocks):
    method forward (line 73) | def forward(self, x):
  class KDSR (line 85) | class KDSR(nn.Module):
    method __init__ (line 86) | def __init__(self, args, conv=common.default_conv):
    method forward (line 118) | def forward(self, x, k_v):
  class KD_IDE (line 142) | class KD_IDE(nn.Module):
    method __init__ (line 143) | def __init__(self,args):
    method forward (line 181) | def forward(self, x):
  class BlindSR (line 190) | class BlindSR(nn.Module):
    method __init__ (line 191) | def __init__(self, args):
    method forward (line 200) | def forward(self, x, deg_repre):

FILE: KDSR-classic/model_TA/common.py
  function default_conv (line 7) | def default_conv(in_channels, out_channels, kernel_size, bias=True):
  class MeanShift (line 11) | class MeanShift(nn.Conv2d):
    method __init__ (line 12) | def __init__(self, rgb_range, rgb_mean, rgb_std, sign=-1):
  class Upsampler (line 23) | class Upsampler(nn.Sequential):
    method __init__ (line 24) | def __init__(self, conv, scale, n_feat, act=False, bias=True):

FILE: KDSR-classic/template.py
  function set_template (line 1) | def set_template(args):

FILE: KDSR-classic/trainer_anisonoise_stage3.py
  class Trainer (line 15) | class Trainer():
    method __init__ (line 16) | def __init__(self, args, loader, model_TA, my_loss, ckp):
    method train (line 36) | def train(self):
    method test (line 118) | def test(self):
    method crop_border (line 193) | def crop_border(self, img_hr, scale):
    method get_patch (line 200) | def get_patch(self, img, patch_size=48, scale=4):
    method crop (line 208) | def crop(self, img_hr):
    method terminate (line 216) | def terminate(self):

FILE: KDSR-classic/trainer_anisonoise_stage4.py
  class Trainer (line 11) | class Trainer():
    method __init__ (line 12) | def __init__(self, args, loader, model_ST, model_TA, my_loss, ckp):
    method train (line 37) | def train(self):
    method test (line 152) | def test(self):
    method crop_border (line 222) | def crop_border(self, img_hr, scale):
    method terminate (line 229) | def terminate(self):

FILE: KDSR-classic/trainer_iso_stage3.py
  class Trainer (line 16) | class Trainer():
    method __init__ (line 17) | def __init__(self, args, loader, model_TA, my_loss, ckp):
    method train (line 37) | def train(self):
    method test (line 119) | def test(self):
    method crop_border (line 197) | def crop_border(self, img_hr, scale):
    method terminate (line 204) | def terminate(self):

FILE: KDSR-classic/trainer_iso_stage4.py
  class Trainer (line 11) | class Trainer():
    method __init__ (line 12) | def __init__(self, args, loader, model_ST, model_TA, my_loss, ckp):
    method train (line 38) | def train(self):
    method test (line 153) | def test(self):
    method crop_border (line 230) | def crop_border(self, img_hr, scale):
    method terminate (line 237) | def terminate(self):

FILE: KDSR-classic/utility.py
  class AverageMeter (line 15) | class AverageMeter(object):
    method __init__ (line 17) | def __init__(self):
    method reset (line 20) | def reset(self):
    method update (line 26) | def update(self, val, n=1):
  class timer (line 33) | class timer():
    method __init__ (line 34) | def __init__(self):
    method tic (line 38) | def tic(self):
    method toc (line 41) | def toc(self):
    method hold (line 44) | def hold(self):
    method release (line 47) | def release(self):
    method reset (line 53) | def reset(self):
  class checkpoint (line 57) | class checkpoint():
    method __init__ (line 58) | def __init__(self, args):
    method save (line 85) | def save(self, trainer, epoch, is_best=False):
    method add_log (line 97) | def add_log(self, log):
    method write_log (line 100) | def write_log(self, log, refresh=False):
    method done (line 107) | def done(self):
    method plot_psnr (line 110) | def plot_psnr(self, epoch):
    method save_results (line 128) | def save_results(self, filename, save_list, scale):
  function quantize (line 136) | def quantize(img, rgb_range):
  function calc_psnr (line 141) | def calc_psnr(sr, hr, scale, rgb_range, benchmark=False):
  function calc_ssim (line 162) | def calc_ssim(img1, img2, scale=2, benchmark=False):
  function ssim (line 199) | def ssim(img1, img2):
  function make_optimizer (line 222) | def make_optimizer(args, my_model):
  function make_scheduler (line 243) | def make_scheduler(args, my_optimizer):

FILE: KDSR-classic/utility2.py
  class AverageMeter (line 14) | class AverageMeter(object):
    method __init__ (line 16) | def __init__(self):
    method reset (line 19) | def reset(self):
    method update (line 25) | def update(self, val, n=1):
  class timer (line 32) | class timer():
    method __init__ (line 33) | def __init__(self):
    method tic (line 37) | def tic(self):
    method toc (line 40) | def toc(self):
    method hold (line 43) | def hold(self):
    method release (line 46) | def release(self):
    method reset (line 52) | def reset(self):
  class checkpoint (line 56) | class checkpoint():
    method __init__ (line 57) | def __init__(self, args):
    method save (line 83) | def save(self, trainer, epoch, is_best=False):
    method add_log (line 95) | def add_log(self, log):
    method write_log (line 98) | def write_log(self, log, refresh=False):
    method done (line 105) | def done(self):
    method plot_psnr (line 108) | def plot_psnr(self, epoch):
    method save_results (line 126) | def save_results(self, filename, save_list, scale):
  function quantize (line 134) | def quantize(img, rgb_range):
  function calc_psnr (line 139) | def calc_psnr(sr, hr, scale, rgb_range, benchmark=False):
  function calc_ssim (line 160) | def calc_ssim(img1, img2, scale=2, benchmark=False):
  function ssim (line 197) | def ssim(img1, img2):
  function make_optimizer (line 220) | def make_optimizer(args, my_model):
  function make_scheduler (line 241) | def make_scheduler(args, my_optimizer):

FILE: KDSR-classic/utility3.py
  function tensor2img (line 13) | def tensor2img(tensor, out_type=np.float32, min_max=(0, 1)):
  function bgr2ycbcr (line 42) | def bgr2ycbcr(img, only_y=True):
  function calc_psnr (line 66) | def calc_psnr(img1, img2,scale):
  function ssim (line 82) | def ssim(img1, img2):
  function calculate_ssim (line 106) | def calculate_ssim(img1, img2):

FILE: KDSR-classic/utils/util.py
  function cal_sigma (line 9) | def cal_sigma(sig_x, sig_y, radians):
  function anisotropic_gaussian_kernel (line 22) | def anisotropic_gaussian_kernel(batch, kernel_size, covar):
  function isotropic_gaussian_kernel (line 35) | def isotropic_gaussian_kernel(batch, kernel_size, sigma):
  function random_anisotropic_gaussian_kernel (line 44) | def random_anisotropic_gaussian_kernel(batch=1, kernel_size=21, lambda_m...
  function stable_anisotropic_gaussian_kernel (line 54) | def stable_anisotropic_gaussian_kernel(kernel_size=21, theta=0, lambda_1...
  function random_isotropic_gaussian_kernel (line 64) | def random_isotropic_gaussian_kernel(batch=1, kernel_size=21, sig_min=0....
  function stable_isotropic_gaussian_kernel (line 70) | def stable_isotropic_gaussian_kernel(kernel_size=21, sig=4.0):
  function random_gaussian_kernel (line 76) | def random_gaussian_kernel(batch, kernel_size=21, blur_type='iso_gaussia...
  function stable_gaussian_kernel (line 83) | def stable_gaussian_kernel(kernel_size=21, blur_type='iso_gaussian', sig...
  class bicubic (line 91) | class bicubic(nn.Module):
    method __init__ (line 92) | def __init__(self):
    method cubic (line 95) | def cubic(self, x):
    method contribute (line 106) | def contribute(self, in_size, out_size, scale):
    method forward (line 151) | def forward(self, input, scale=1/4):
  class Gaussin_Kernel (line 171) | class Gaussin_Kernel(object):
    method __init__ (line 172) | def __init__(self, kernel_size=21, blur_type='iso_gaussian',
    method __call__ (line 188) | def __call__(self, batch, random):
  class BatchBlur (line 201) | class BatchBlur(nn.Module):
    method __init__ (line 202) | def __init__(self, kernel_size=21):
    method forward (line 210) | def forward(self, input, kernel):
  class SRMDPreprocessing (line 228) | class SRMDPreprocessing(object):
    method __init__ (line 229) | def __init__(self,
    method __call__ (line 274) | def __call__(self, hr_tensor, random=True):
  class BicubicPreprocessing (line 313) | class BicubicPreprocessing(object):
    method __init__ (line 314) | def __init__(self,
    method __call__ (line 337) | def __call__(self, hr_tensor, random=True):

FILE: KDSR-classic/utils/util2.py
  function cal_sigma (line 9) | def cal_sigma(sig_x, sig_y, radians):
  function anisotropic_gaussian_kernel (line 22) | def anisotropic_gaussian_kernel(batch, kernel_size, covar):
  function isotropic_gaussian_kernel (line 35) | def isotropic_gaussian_kernel(batch, kernel_size, sigma):
  function random_anisotropic_gaussian_kernel (line 44) | def random_anisotropic_gaussian_kernel(batch=1, kernel_size=21, lambda_m...
  function stable_anisotropic_gaussian_kernel (line 54) | def stable_anisotropic_gaussian_kernel(kernel_size=21, theta=0, lambda_1...
  function random_isotropic_gaussian_kernel (line 64) | def random_isotropic_gaussian_kernel(batch=1, kernel_size=21, sig_min=0....
  function stable_isotropic_gaussian_kernel (line 70) | def stable_isotropic_gaussian_kernel(kernel_size=21, sig=4.0):
  function random_gaussian_kernel (line 76) | def random_gaussian_kernel(batch, kernel_size=21, blur_type='iso_gaussia...
  function stable_gaussian_kernel (line 83) | def stable_gaussian_kernel(kernel_size=21, blur_type='iso_gaussian', sig...
  class bicubic (line 91) | class bicubic(nn.Module):
    method __init__ (line 92) | def __init__(self):
    method cubic (line 95) | def cubic(self, x):
    method contribute (line 106) | def contribute(self, in_size, out_size, scale):
    method forward (line 151) | def forward(self, input, scale=1/4):
  class Gaussin_Kernel (line 171) | class Gaussin_Kernel(object):
    method __init__ (line 172) | def __init__(self, kernel_size=21, blur_type='iso_gaussian',
    method __call__ (line 188) | def __call__(self, batch, random):
  class BatchBlur (line 201) | class BatchBlur(nn.Module):
    method __init__ (line 202) | def __init__(self, kernel_size=21):
    method forward (line 210) | def forward(self, input, kernel):
  class SRMDPreprocessing (line 228) | class SRMDPreprocessing(object):
    method __init__ (line 229) | def __init__(self,
    method __call__ (line 274) | def __call__(self, hr_tensor, random=True):