SYMBOL INDEX (71 symbols across 9 files)

FILE: colorizator.py
  class MangaColorizator (line 9) | class MangaColorizator:
    method __init__ (line 10) | def __init__(self, device, generator_path = 'networks/generator.zip', ...
    method set_image (line 23) | def set_image(self, image, size = 576, apply_denoise = True, denoise_s...
    method update_hint (line 34) | def update_hint(self, hint, mask):
    method colorize (line 50) | def colorize(self):

FILE: denoising/denoiser.py
  class FFDNetDenoiser (line 26) | class FFDNetDenoiser:
    method __init__ (line 27) | def __init__(self, _device, _sigma = 25, _weights_dir = 'denoising/mod...
    method load_weights (line 38) | def load_weights(self):
    method get_denoised_image (line 51) | def get_denoised_image(self, imorig, sigma = None):

FILE: denoising/functions.py
  function concatenate_input_noise_map (line 16) | def concatenate_input_noise_map(input, noise_sigma):
  class UpSampleFeaturesFunction (line 55) | class UpSampleFeaturesFunction(Function):
    method forward (line 63) | def forward(ctx, input):
    method backward (line 82) | def backward(ctx, grad_output):

FILE: denoising/models.py
  class UpSampleFeatures (line 17) | class UpSampleFeatures(nn.Module):
    method __init__ (line 20) | def __init__(self):
    method forward (line 22) | def forward(self, x):
  class IntermediateDnCNN (line 25) | class IntermediateDnCNN(nn.Module):
    method __init__ (line 29) | def __init__(self, input_features, middle_features, num_conv_layers):
    method forward (line 64) | def forward(self, x):
  class FFDNet (line 68) | class FFDNet(nn.Module):
    method __init__ (line 71) | def __init__(self, num_input_channels):
    method forward (line 95) | def forward(self, x, noise_sigma):

FILE: denoising/utils.py
  function variable_to_cv2_image (line 18) | def variable_to_cv2_image(varim):
  function normalize (line 36) | def normalize(data):
  function remove_dataparallel_wrapper (line 39) | def remove_dataparallel_wrapper(state_dict):
  function is_rgb (line 55) | def is_rgb(im_path):

FILE: inference.py
  function process_image (line 10) | def process_image(image, colorizator, args):
  function colorize_single_image (line 15) | def colorize_single_image(image_path, save_path, colorizator, args):
  function colorize_images (line 26) | def colorize_images(target_path, colorizator, args):
  function parse_args (line 44) | def parse_args():

FILE: networks/extractor.py
  class Selayer (line 8) | class Selayer(nn.Module):
    method __init__ (line 9) | def __init__(self, inplanes):
    method forward (line 17) | def forward(self, x):
  class BottleneckX_Origin (line 27) | class BottleneckX_Origin(nn.Module):
    method __init__ (line 30) | def __init__(self, inplanes, planes, cardinality, stride=1, downsample...
    method forward (line 48) | def forward(self, x):
  class SEResNeXt_Origin (line 72) | class SEResNeXt_Origin(nn.Module):
    method __init__ (line 73) | def __init__(self, block, layers, input_channels=3, cardinality=32, nu...
    method _make_layer (line 98) | def _make_layer(self, block, planes, blocks, stride=1):
    method forward (line 115) | def forward(self, x):

FILE: networks/models.py
  function l2normalize (line 13) | def l2normalize(v, eps=1e-12):
  class SpectralNorm (line 17) | class SpectralNorm(nn.Module):
    method __init__ (line 18) | def __init__(self, module, name='weight', power_iterations=1):
    method _update_u_v (line 26) | def _update_u_v(self):
    method _made_params (line 40) | def _made_params(self):
    method _make_params (line 50) | def _make_params(self):
    method forward (line 68) | def forward(self, *args):
  class Selayer (line 72) | class Selayer(nn.Module):
    method __init__ (line 73) | def __init__(self, inplanes):
    method forward (line 81) | def forward(self, x):
  class SelayerSpectr (line 90) | class SelayerSpectr(nn.Module):
    method __init__ (line 91) | def __init__(self, inplanes):
    method forward (line 99) | def forward(self, x):
  class ResNeXtBottleneck (line 108) | class ResNeXtBottleneck(nn.Module):
    method __init__ (line 109) | def __init__(self, in_channels=256, out_channels=256, stride=1, cardin...
    method forward (line 125) | def forward(self, x):
  class SpectrResNeXtBottleneck (line 136) | class SpectrResNeXtBottleneck(nn.Module):
    method __init__ (line 137) | def __init__(self, in_channels=256, out_channels=256, stride=1, cardin...
    method forward (line 153) | def forward(self, x):
  class FeatureConv (line 164) | class FeatureConv(nn.Module):
    method __init__ (line 165) | def __init__(self, input_dim=512, output_dim=512):
    method forward (line 182) | def forward(self, x):
  class Generator (line 185) | class Generator(nn.Module):
    method __init__ (line 186) | def __init__(self, ngf=64):
    method _make_encoder_block (line 270) | def _make_encoder_block(self, inplanes, planes):
    method _make_encoder_block_first (line 278) | def _make_encoder_block_first(self, inplanes, planes):
    method forward (line 286) | def forward(self, sketch):
  class Colorizer (line 311) | class Colorizer(nn.Module):
    method __init__ (line 312) | def __init__(self):
    method forward (line 317) | def forward(self, x, extractor_grad = False):

FILE: utils/utils.py
  function resize_pad (line 4) | def resize_pad(img, size = 256):