SYMBOL INDEX (271 symbols across 39 files)

FILE: test_code_released_new/data/aligned_dataset.py
  class AlignedDataset (line 22) | class AlignedDataset(BaseDataset):
    method initialize (line 23) | def initialize(self, opt):
    method __getitem__ (line 30) | def __getitem__(self, index):
    method __len__ (line 64) | def __len__(self):
    method name (line 67) | def name(self):

FILE: test_code_released_new/data/base_data_loader.py
  class BaseDataLoader (line 1) | class BaseDataLoader():
    method __init__ (line 2) | def __init__(self):
    method initialize (line 5) | def initialize(self, opt):
    method load_data (line 9) | def load_data():

FILE: test_code_released_new/data/base_dataset.py
  class BaseDataset (line 6) | class BaseDataset(data.Dataset):
    method __init__ (line 7) | def __init__(self):
    method name (line 10) | def name(self):
    method initialize (line 13) | def initialize(self, opt):
  function get_transform (line 18) | def get_transform(opt):
  function __scale_width (line 43) | def __scale_width(img, target_width):

FILE: test_code_released_new/data/custom_dataset_data_loader.py
  function CreateDataset (line 5) | def CreateDataset(opt):
  class CustomDatasetDataLoader (line 24) | class CustomDatasetDataLoader(BaseDataLoader):
    method name (line 25) | def name(self):
    method initialize (line 28) | def initialize(self, opt):
    method load_data (line 37) | def load_data(self):
    method __len__ (line 40) | def __len__(self):
    method __iter__ (line 43) | def __iter__(self):

FILE: test_code_released_new/data/data_loader.py
  function CreateDataLoader (line 1) | def CreateDataLoader(opt):

FILE: test_code_released_new/data/image_folder.py
  function is_image_file (line 21) | def is_image_file(filename):
  function make_dataset (line 25) | def make_dataset(dir):
  function make_grouped_dataset (line 40) | def make_grouped_dataset(dir):
  function default_loader (line 54) | def default_loader(path):
  class ImageFolder (line 58) | class ImageFolder(data.Dataset):
    method __init__ (line 60) | def __init__(self, root, transform=None, return_paths=False,
    method __getitem__ (line 74) | def __getitem__(self, index):
    method __len__ (line 84) | def __len__(self):

FILE: test_code_released_new/models/base_model.py
  class BaseModel (line 5) | class BaseModel():
    method name (line 6) | def name(self):
    method initialize (line 9) | def initialize(self, opt):
    method set_input (line 16) | def set_input(self, input):
    method forward (line 19) | def forward(self):
    method test (line 23) | def test(self):
    method get_image_paths (line 26) | def get_image_paths(self):
    method optimize_parameters (line 29) | def optimize_parameters(self):
    method get_current_visuals (line 32) | def get_current_visuals(self):
    method get_current_errors (line 35) | def get_current_errors(self):
    method save (line 38) | def save(self, label):
    method save_network (line 42) | def save_network(self, network, network_label, epoch_label, gpu_ids):
    method load_network (line 50) | def load_network(self, network, network_label, epoch_label,optimizer):
    method update_learning_rate (line 58) | def update_learning_rate(self):

FILE: test_code_released_new/models/models.py
  function create_model (line 1) | def create_model(opt):

FILE: test_code_released_new/models/networks.py
  function weights_init_normal (line 14) | def weights_init_normal(m):
  function weights_init_xavier (line 26) | def weights_init_xavier(m):
  function weights_init_kaiming (line 38) | def weights_init_kaiming(m):
  function weights_init_orthogonal (line 50) | def weights_init_orthogonal(m):
  function init_weights (line 62) | def init_weights(net, init_type='normal'):
  function get_norm_layer (line 76) | def get_norm_layer(norm_type='instance'):
  function get_scheduler (line 88) | def get_scheduler(optimizer, opt):
  function define_G (line 104) | def define_G(input_nc, output_nc, ngf, which_model_netG, norm='batch', u...
  function define_D (line 124) | def define_D(input_nc, ndf, which_model_netD,
  function print_network (line 147) | def print_network(net):
  class GANLoss (line 164) | class GANLoss(nn.Module):
    method __init__ (line 165) | def __init__(self, use_lsgan=True, target_real_label=1.0, target_fake_...
    method get_target_tensor (line 180) | def get_target_tensor(self, input, target_is_real):
    method __call__ (line 198) | def __call__(self, input, target_is_real):
  class VGGLoss (line 202) | class VGGLoss(nn.Module):
    method __init__ (line 203) | def __init__(self, gpu_ids):
    method forward (line 209) | def forward(self, x, y):
  class ResnetGenerator (line 219) | class ResnetGenerator(nn.Module):
    method __init__ (line 220) | def __init__(self, input_nc, output_nc, ngf=64, norm_layer=nn.BatchNor...
    method forward (line 264) | def forward(self, input):
  class ResnetBlock (line 272) | class ResnetBlock(nn.Module):
    method __init__ (line 273) | def __init__(self, dim, padding_type, norm_layer, use_dropout, use_bias):
    method build_conv_block (line 277) | def build_conv_block(self, dim, padding_type, norm_layer, use_dropout,...
    method forward (line 309) | def forward(self, x):
  class NLayerDiscriminator (line 315) | class NLayerDiscriminator(nn.Module):
    method __init__ (line 316) | def __init__(self, input_nc, ndf=64, n_layers=3, norm_layer=nn.BatchNo...
    method forward (line 375) | def forward(self, input):
  class PixelDiscriminator (line 387) | class PixelDiscriminator(nn.Module):
    method __init__ (line 388) | def __init__(self, input_nc, ndf=64, norm_layer=nn.BatchNorm2d, use_si...
    method forward (line 409) | def forward(self, input):
  class Vgg19 (line 416) | class Vgg19(torch.nn.Module):
    method __init__ (line 417) | def __init__(self, requires_grad=False):
    method forward (line 439) | def forward(self, X):

FILE: test_code_released_new/models/pix2pix_model.py
  class Estimate (line 18) | class Estimate(nn.Module):
    method __init__ (line 19) | def __init__(self):
    method forward (line 32) | def forward(self, x):
  class Pix2PixModel (line 37) | class Pix2PixModel(BaseModel):
    method name (line 38) | def name(self):
    method _compute_loss_smooth (line 40) | def _compute_loss_smooth(self, mat):
    method initialize (line 43) | def initialize(self, opt):
    method set_input (line 111) | def set_input(self, input):
    method test (line 129) | def test(self):
    method get_image_paths (line 175) | def get_image_paths(self):
    method _compute_loss_D (line 178) | def _compute_loss_D(self, estim, is_real):

FILE: test_code_released_new/models/test_model.py
  class TestModel (line 8) | class TestModel(BaseModel):
    method name (line 9) | def name(self):
    method initialize (line 12) | def initialize(self, opt):
    method set_input (line 27) | def set_input(self, input):
    method test (line 35) | def test(self):
    method get_image_paths (line 40) | def get_image_paths(self):
    method get_current_visuals (line 43) | def get_current_visuals(self):

FILE: test_code_released_new/options/base_options.py
  class BaseOptions (line 7) | class BaseOptions():
    method __init__ (line 8) | def __init__(self):
    method initialize (line 12) | def initialize(self):
    method parse (line 46) | def parse(self):

FILE: test_code_released_new/options/test_options.py
  class TestOptions (line 4) | class TestOptions(BaseOptions):
    method initialize (line 5) | def initialize(self):

FILE: test_code_released_new/options/train_options.py
  class TrainOptions (line 4) | class TrainOptions(BaseOptions):
    method initialize (line 5) | def initialize(self):

FILE: test_code_released_new/test.py
  function main (line 23) | def main():

FILE: test_code_released_new/util/get_data.py
  class GetData (line 11) | class GetData(object):
    method __init__ (line 29) | def __init__(self, technique='cyclegan', verbose=True):
    method _print (line 37) | def _print(self, text):
    method _get_options (line 42) | def _get_options(r):
    method _present_options (line 48) | def _present_options(self):
    method _download_data (line 58) | def _download_data(self, dataset_url, save_path):
    method get (line 81) | def get(self, save_path, dataset=None):

FILE: test_code_released_new/util/html.py
  class HTML (line 6) | class HTML:
    method __init__ (line 7) | def __init__(self, web_dir, title, reflesh=0):
    method get_image_dir (line 22) | def get_image_dir(self):
    method add_header (line 25) | def add_header(self, str):
    method add_table (line 29) | def add_table(self, border=1):
    method add_images (line 33) | def add_images(self, ims, txts, links, width=400):
    method save (line 45) | def save(self):

FILE: test_code_released_new/util/image_pool.py
  class ImagePool (line 6) | class ImagePool():
    method __init__ (line 7) | def __init__(self, pool_size):
    method query (line 13) | def query(self, images):

FILE: test_code_released_new/util/util.py
  function tensor2im (line 10) | def tensor2im(image_tensor, imtype=np.uint8):
  function diagnose_network (line 18) | def diagnose_network(net, name='network'):
  function save_image (line 31) | def save_image(image_numpy, image_path):
  function print_numpy (line 36) | def print_numpy(x, val=True, shp=False):
  function mkdirs (line 46) | def mkdirs(paths):
  function mkdir (line 54) | def mkdir(path):

FILE: test_code_released_new/util/visualizer.py
  class Visualizer (line 10) | class Visualizer():
    method __init__ (line 11) | def __init__(self, opt):
    method reset (line 33) | def reset(self):
    method display_current_results (line 37) | def display_current_results(self, visuals, epoch, save_result):
    method plot_current_errors (line 101) | def plot_current_errors(self, epoch, counter_ratio, opt, errors):
    method print_current_errors (line 117) | def print_current_errors(self, epoch, i, errors, t):
    method save_images (line 127) | def save_images(self, webpage, visuals, image_path, aspect_ratio=1.0):

FILE: test_code_released_old/data/aligned_dataset.py
  class AlignedDataset (line 22) | class AlignedDataset(BaseDataset):
    method initialize (line 23) | def initialize(self, opt):
    method __getitem__ (line 30) | def __getitem__(self, index):
    method __len__ (line 64) | def __len__(self):
    method name (line 67) | def name(self):

FILE: test_code_released_old/data/base_data_loader.py
  class BaseDataLoader (line 1) | class BaseDataLoader():
    method __init__ (line 2) | def __init__(self):
    method initialize (line 5) | def initialize(self, opt):
    method load_data (line 9) | def load_data():

FILE: test_code_released_old/data/base_dataset.py
  class BaseDataset (line 6) | class BaseDataset(data.Dataset):
    method __init__ (line 7) | def __init__(self):
    method name (line 10) | def name(self):
    method initialize (line 13) | def initialize(self, opt):
  function get_transform (line 18) | def get_transform(opt):
  function __scale_width (line 43) | def __scale_width(img, target_width):

FILE: test_code_released_old/data/custom_dataset_data_loader.py
  function CreateDataset (line 5) | def CreateDataset(opt):
  class CustomDatasetDataLoader (line 24) | class CustomDatasetDataLoader(BaseDataLoader):
    method name (line 25) | def name(self):
    method initialize (line 28) | def initialize(self, opt):
    method load_data (line 37) | def load_data(self):
    method __len__ (line 40) | def __len__(self):
    method __iter__ (line 43) | def __iter__(self):

FILE: test_code_released_old/data/data_loader.py
  function CreateDataLoader (line 1) | def CreateDataLoader(opt):

FILE: test_code_released_old/data/image_folder.py
  function is_image_file (line 21) | def is_image_file(filename):
  function make_dataset (line 25) | def make_dataset(dir):
  function make_grouped_dataset (line 40) | def make_grouped_dataset(dir):
  function default_loader (line 54) | def default_loader(path):
  class ImageFolder (line 58) | class ImageFolder(data.Dataset):
    method __init__ (line 60) | def __init__(self, root, transform=None, return_paths=False,
    method __getitem__ (line 74) | def __getitem__(self, index):
    method __len__ (line 84) | def __len__(self):

FILE: test_code_released_old/models/base_model.py
  class BaseModel (line 5) | class BaseModel():
    method name (line 6) | def name(self):
    method initialize (line 9) | def initialize(self, opt):
    method set_input (line 16) | def set_input(self, input):
    method forward (line 19) | def forward(self):
    method test (line 23) | def test(self):
    method get_image_paths (line 26) | def get_image_paths(self):
    method optimize_parameters (line 29) | def optimize_parameters(self):
    method get_current_visuals (line 32) | def get_current_visuals(self):
    method get_current_errors (line 35) | def get_current_errors(self):
    method save (line 38) | def save(self, label):
    method save_network (line 42) | def save_network(self, network, network_label, epoch_label, gpu_ids):
    method load_network (line 50) | def load_network(self, network, network_label, epoch_label):
    method update_learning_rate (line 56) | def update_learning_rate(self):

FILE: test_code_released_old/models/models.py
  function create_model (line 1) | def create_model(opt):

FILE: test_code_released_old/models/networks.py
  function weights_init_normal (line 14) | def weights_init_normal(m):
  function weights_init_xavier (line 26) | def weights_init_xavier(m):
  function weights_init_kaiming (line 38) | def weights_init_kaiming(m):
  function weights_init_orthogonal (line 50) | def weights_init_orthogonal(m):
  function init_weights (line 62) | def init_weights(net, init_type='normal'):
  function get_norm_layer (line 76) | def get_norm_layer(norm_type='instance'):
  function get_scheduler (line 88) | def get_scheduler(optimizer, opt):
  function define_G (line 104) | def define_G(input_nc, output_nc, ngf, which_model_netG, norm='batch', u...
  function define_D (line 124) | def define_D(input_nc, ndf, which_model_netD,
  function print_network (line 147) | def print_network(net):
  class GANLoss (line 164) | class GANLoss(nn.Module):
    method __init__ (line 165) | def __init__(self, use_lsgan=True, target_real_label=1.0, target_fake_...
    method get_target_tensor (line 180) | def get_target_tensor(self, input, target_is_real):
    method __call__ (line 198) | def __call__(self, input, target_is_real):
  class VGGLoss (line 202) | class VGGLoss(nn.Module):
    method __init__ (line 203) | def __init__(self, gpu_ids):
    method forward (line 209) | def forward(self, x, y):
  class ResnetGenerator (line 219) | class ResnetGenerator(nn.Module):
    method __init__ (line 220) | def __init__(self, input_nc, output_nc, ngf=64, norm_layer=nn.BatchNor...
    method forward (line 264) | def forward(self, input):
  class ResnetBlock (line 272) | class ResnetBlock(nn.Module):
    method __init__ (line 273) | def __init__(self, dim, padding_type, norm_layer, use_dropout, use_bias):
    method build_conv_block (line 277) | def build_conv_block(self, dim, padding_type, norm_layer, use_dropout,...
    method forward (line 309) | def forward(self, x):
  class NLayerDiscriminator (line 315) | class NLayerDiscriminator(nn.Module):
    method __init__ (line 316) | def __init__(self, input_nc, ndf=64, n_layers=3, norm_layer=nn.BatchNo...
    method forward (line 375) | def forward(self, input):
  class PixelDiscriminator (line 387) | class PixelDiscriminator(nn.Module):
    method __init__ (line 388) | def __init__(self, input_nc, ndf=64, norm_layer=nn.BatchNorm2d, use_si...
    method forward (line 409) | def forward(self, input):
  class Vgg19 (line 416) | class Vgg19(torch.nn.Module):
    method __init__ (line 417) | def __init__(self, requires_grad=False):
    method forward (line 439) | def forward(self, X):

FILE: test_code_released_old/models/pix2pix_model.py
  class Estimate (line 18) | class Estimate(nn.Module):
    method __init__ (line 19) | def __init__(self):
    method forward (line 32) | def forward(self, x):
  class Pix2PixModel (line 37) | class Pix2PixModel(BaseModel):
    method name (line 38) | def name(self):
    method _compute_loss_smooth (line 40) | def _compute_loss_smooth(self, mat):
    method initialize (line 43) | def initialize(self, opt):
    method set_input (line 109) | def set_input(self, input):
    method test (line 127) | def test(self):
    method get_image_paths (line 173) | def get_image_paths(self):
    method _compute_loss_D (line 176) | def _compute_loss_D(self, estim, is_real):

FILE: test_code_released_old/models/test_model.py
  class TestModel (line 8) | class TestModel(BaseModel):
    method name (line 9) | def name(self):
    method initialize (line 12) | def initialize(self, opt):
    method set_input (line 27) | def set_input(self, input):
    method test (line 35) | def test(self):
    method get_image_paths (line 40) | def get_image_paths(self):
    method get_current_visuals (line 43) | def get_current_visuals(self):

FILE: test_code_released_old/options/base_options.py
  class BaseOptions (line 7) | class BaseOptions():
    method __init__ (line 8) | def __init__(self):
    method initialize (line 12) | def initialize(self):
    method parse (line 46) | def parse(self):

FILE: test_code_released_old/options/test_options.py
  class TestOptions (line 4) | class TestOptions(BaseOptions):
    method initialize (line 5) | def initialize(self):

FILE: test_code_released_old/options/train_options.py
  class TrainOptions (line 4) | class TrainOptions(BaseOptions):
    method initialize (line 5) | def initialize(self):

FILE: test_code_released_old/util/get_data.py
  class GetData (line 11) | class GetData(object):
    method __init__ (line 29) | def __init__(self, technique='cyclegan', verbose=True):
    method _print (line 37) | def _print(self, text):
    method _get_options (line 42) | def _get_options(r):
    method _present_options (line 48) | def _present_options(self):
    method _download_data (line 58) | def _download_data(self, dataset_url, save_path):
    method get (line 81) | def get(self, save_path, dataset=None):

FILE: test_code_released_old/util/html.py
  class HTML (line 6) | class HTML:
    method __init__ (line 7) | def __init__(self, web_dir, title, reflesh=0):
    method get_image_dir (line 22) | def get_image_dir(self):
    method add_header (line 25) | def add_header(self, str):
    method add_table (line 29) | def add_table(self, border=1):
    method add_images (line 33) | def add_images(self, ims, txts, links, width=400):
    method save (line 45) | def save(self):

FILE: test_code_released_old/util/image_pool.py
  class ImagePool (line 6) | class ImagePool():
    method __init__ (line 7) | def __init__(self, pool_size):
    method query (line 13) | def query(self, images):

FILE: test_code_released_old/util/util.py
  function tensor2im (line 10) | def tensor2im(image_tensor, imtype=np.uint8):
  function diagnose_network (line 18) | def diagnose_network(net, name='network'):
  function save_image (line 31) | def save_image(image_numpy, image_path):
  function print_numpy (line 36) | def print_numpy(x, val=True, shp=False):
  function mkdirs (line 46) | def mkdirs(paths):
  function mkdir (line 54) | def mkdir(path):

FILE: test_code_released_old/util/visualizer.py
  class Visualizer (line 10) | class Visualizer():
    method __init__ (line 11) | def __init__(self, opt):
    method reset (line 33) | def reset(self):
    method display_current_results (line 37) | def display_current_results(self, visuals, epoch, save_result):
    method plot_current_errors (line 101) | def plot_current_errors(self, epoch, counter_ratio, opt, errors):
    method print_current_errors (line 117) | def print_current_errors(self, epoch, i, errors, t):
    method save_images (line 127) | def save_images(self, webpage, visuals, image_path, aspect_ratio=1.0):