SYMBOL INDEX (138 symbols across 18 files)

FILE: BDL.py
  function main (line 15) | def main():

FILE: SSL.py
  function main (line 14) | def main():

FILE: cyclegan/cycle_gan_model.py
  class CycleGANModel (line 10) | class CycleGANModel(BaseModel):
    method name (line 11) | def name(self):
    method modify_commandline_options (line 15) | def modify_commandline_options(parser, is_train=True):
    method initialize (line 27) | def initialize(self, opt):
    method set_input (line 87) | def set_input(self, input):
    method forward (line 93) | def forward(self):
    method backward_D_basic (line 107) | def backward_D_basic(self, netD, real, fake):
    method backward_D_A (line 120) | def backward_D_A(self):
    method backward_D_B (line 124) | def backward_D_B(self):
    method backward_G (line 128) | def backward_G(self):
    method optimize_parameters (line 166) | def optimize_parameters(self):
    method compute_semantic_loss (line 181) | def compute_semantic_loss(self, img_feat, target_feat):
    method compute_semantic_feat (line 184) | def compute_semantic_feat(self, img):
    method img_preprocess (line 189) | def img_preprocess(self, batch):

FILE: cyclegan/deeplab.py
  function outS (line 11) | def outS(i):
  function conv3x3 (line 19) | def conv3x3(in_planes, out_planes, stride=1):
  class BasicBlock (line 25) | class BasicBlock(nn.Module):
    method __init__ (line 28) | def __init__(self, inplanes, planes, stride=1, downsample=None):
    method forward (line 38) | def forward(self, x):
  class Bottleneck (line 57) | class Bottleneck(nn.Module):
    method __init__ (line 60) | def __init__(self, inplanes, planes, stride=1, dilation=1, downsample=...
    method forward (line 81) | def forward(self, x):
  class Classifier_Module (line 104) | class Classifier_Module(nn.Module):
    method __init__ (line 105) | def __init__(self, inplanes, dilation_series, padding_series, num_clas...
    method forward (line 115) | def forward(self, x):
  class ResNet101 (line 122) | class ResNet101(nn.Module):
    method __init__ (line 123) | def __init__(self, block, layers, num_classes, phase):
    method _make_layer (line 150) | def _make_layer(self, block, planes, blocks, stride=1, dilation=1):
    method _make_pred_layer (line 167) | def _make_pred_layer(self, block, inplanes, dilation_series, padding_s...
    method forward (line 170) | def forward(self, x, ssl=False, lbl=None):
  function Deeplab (line 185) | def Deeplab(num_classes=21, init_weights=None, restore_from=None, phase=...

FILE: cyclegan/networks.py
  function get_norm_layer (line 16) | def get_norm_layer(norm_type='instance'):
  function get_scheduler (line 28) | def get_scheduler(optimizer, opt):
  function init_weights (line 43) | def init_weights(net, init_type='normal', gain=0.02):
  function init_net (line 67) | def init_net(net, init_type='normal', init_gain=0.02, gpu_ids=[]):
  function define_G (line 76) | def define_G(input_nc, output_nc, ngf, which_model_netG, norm='batch', u...
  function define_D (line 93) | def define_D(input_nc, ndf, which_model_netD,
  function semantic (line 109) | def semantic(init_weights=None, gpu_ids=0):
  class GANLoss (line 131) | class GANLoss(nn.Module):
    method __init__ (line 132) | def __init__(self, use_lsgan=True, target_real_label=1.0, target_fake_...
    method get_target_tensor (line 141) | def get_target_tensor(self, input, target_is_real):
    method __call__ (line 148) | def __call__(self, input, target_is_real):
  class ResnetGenerator (line 157) | class ResnetGenerator(nn.Module):
    method __init__ (line 158) | def __init__(self, input_nc, output_nc, ngf=64, norm_layer=nn.BatchNor...
    method forward (line 201) | def forward(self, input):
  class ResnetBlock (line 206) | class ResnetBlock(nn.Module):
    method __init__ (line 207) | def __init__(self, dim, padding_type, norm_layer, use_dropout, use_bias):
    method build_conv_block (line 211) | def build_conv_block(self, dim, padding_type, norm_layer, use_dropout,...
    method forward (line 243) | def forward(self, x):
  class UnetGenerator (line 252) | class UnetGenerator(nn.Module):
    method __init__ (line 253) | def __init__(self, input_nc, output_nc, num_downs, ngf=64,
    method forward (line 268) | def forward(self, input):
  class UnetSkipConnectionBlock (line 275) | class UnetSkipConnectionBlock(nn.Module):
    method __init__ (line 276) | def __init__(self, outer_nc, inner_nc, input_nc=None,
    method forward (line 321) | def forward(self, x):
  class NLayerDiscriminator (line 329) | class NLayerDiscriminator(nn.Module):
    method __init__ (line 330) | def __init__(self, input_nc, ndf=64, n_layers=3, norm_layer=nn.BatchNo...
    method forward (line 372) | def forward(self, input):
  class PixelDiscriminator (line 376) | class PixelDiscriminator(nn.Module):
    method __init__ (line 377) | def __init__(self, input_nc, ndf=64, norm_layer=nn.BatchNorm2d, use_si...
    method forward (line 397) | def forward(self, input):
  class CrossEntropy2d (line 402) | class CrossEntropy2d(nn.Module):
    method __init__ (line 404) | def __init__(self, size_average=True, ignore_label=255):
    method forward (line 409) | def forward(self, predict, target, weight=None):

FILE: data/__init__.py
  function CreateSrcDataLoader (line 11) | def CreateSrcDataLoader(args):
  function CreateTrgDataLoader (line 25) | def CreateTrgDataLoader(args):
  function CreateTrgDataSSLLoader (line 47) | def CreateTrgDataSSLLoader(args):

FILE: data/cityscapes_dataset.py
  class cityscapesDataSet (line 12) | class cityscapesDataSet(data.Dataset):
    method __init__ (line 13) | def __init__(self, root, list_path, max_iters=None, crop_size=(321, 32...
    method __len__ (line 24) | def __len__(self):
    method __getitem__ (line 27) | def __getitem__(self, index):

FILE: data/cityscapes_dataset_label.py
  class cityscapesDataSetLabel (line 12) | class cityscapesDataSetLabel(data.Dataset):
    method __init__ (line 13) | def __init__(self, root, list_path, max_iters=None, crop_size=(321, 32...
    method __len__ (line 24) | def __len__(self):
    method __getitem__ (line 27) | def __getitem__(self, index):

FILE: data/gta5_dataset.py
  class GTA5DataSet (line 13) | class GTA5DataSet(data.Dataset):
    method __init__ (line 14) | def __init__(self, root, list_path, max_iters=None, crop_size=(321, 32...
    method __len__ (line 28) | def __len__(self):
    method __getitem__ (line 32) | def __getitem__(self, index):

FILE: data/synthia_dataset.py
  class SYNDataSet (line 13) | class SYNDataSet(data.Dataset):
    method __init__ (line 14) | def __init__(self, root, list_path, max_iters=None, crop_size=(321, 32...
    method __len__ (line 28) | def __len__(self):
    method __getitem__ (line 32) | def __getitem__(self, index):

FILE: evaluation.py
  function colorize_mask (line 21) | def colorize_mask(mask):
  function fast_hist (line 27) | def fast_hist(a, b, n):
  function per_class_iu (line 32) | def per_class_iu(hist):
  function label_mapping (line 36) | def label_mapping(input, mapping):
  function compute_mIoU (line 42) | def compute_mIoU(gt_dir, pred_dir, devkit_dir='', restore_from=''):
  function main (line 85) | def main():

FILE: model/__init__.py
  function CreateModel (line 7) | def CreateModel(args):
  function CreateDiscriminator (line 34) | def CreateDiscriminator(args):
  function CreateSSLModel (line 43) | def CreateSSLModel(args):

FILE: model/deeplab.py
  function outS (line 11) | def outS(i):
  function conv3x3 (line 19) | def conv3x3(in_planes, out_planes, stride=1):
  class BasicBlock (line 25) | class BasicBlock(nn.Module):
    method __init__ (line 28) | def __init__(self, inplanes, planes, stride=1, downsample=None):
    method forward (line 38) | def forward(self, x):
  class Bottleneck (line 57) | class Bottleneck(nn.Module):
    method __init__ (line 60) | def __init__(self, inplanes, planes, stride=1, dilation=1, downsample=...
    method forward (line 81) | def forward(self, x):
  class Classifier_Module (line 104) | class Classifier_Module(nn.Module):
    method __init__ (line 105) | def __init__(self, inplanes, dilation_series, padding_series, num_clas...
    method forward (line 115) | def forward(self, x):
  class ResNet101 (line 122) | class ResNet101(nn.Module):
    method __init__ (line 123) | def __init__(self, block, layers, num_classes, phase):
    method _make_layer (line 150) | def _make_layer(self, block, planes, blocks, stride=1, dilation=1):
    method _make_pred_layer (line 167) | def _make_pred_layer(self, block, inplanes, dilation_series, padding_s...
    method forward (line 170) | def forward(self, x, ssl=False, lbl=None):
    method get_1x_lr_params_NOscale (line 188) | def get_1x_lr_params_NOscale(self):
    method get_10x_lr_params (line 207) | def get_10x_lr_params(self):
    method optim_parameters (line 216) | def optim_parameters(self, args):
    method adjust_learning_rate (line 220) | def adjust_learning_rate(self, args, optimizer, i):
    method CrossEntropy2d (line 226) | def CrossEntropy2d(self, predict, target, weight=None, size_average=Tr...
  function Deeplab (line 244) | def Deeplab(num_classes=21, init_weights=None, restore_from=None, phase=...

FILE: model/discriminator.py
  class FCDiscriminator (line 7) | class FCDiscriminator(nn.Module):
    method __init__ (line 9) | def __init__(self, num_classes, ndf = 64):
    method forward (line 22) | def forward(self, x, lbl):
    method adjust_learning_rate (line 36) | def adjust_learning_rate(self, args, optimizer, i):

FILE: model/fcn8s.py
  class FCN8s (line 8) | class FCN8s(nn.Module):
    method __init__ (line 9) | def __init__(self, num_classes=21):
    method _initialize_weights (line 75) | def _initialize_weights(self):
    method get_upsampling_weight (line 87) | def get_upsampling_weight(self, in_channels, out_channels, kernel_size):
    method forward (line 102) | def forward(self, x, ssl=False, lbl=None):
    method get_parameters (line 163) | def get_parameters(self, bias=False):
    method adjust_learning_rate (line 187) | def adjust_learning_rate(self, args, optimizer, i):
    method CrossEntropy2d (line 192) | def CrossEntropy2d(self, predict, target, weight=None, size_average=Tr...
  function VGG16_FCN8s (line 209) | def VGG16_FCN8s(num_classes=21, init_weights=None, restore_from=None):

FILE: options/test_options.py
  class TestOptions (line 3) | class TestOptions():
    method initialize (line 4) | def initialize(self):

FILE: options/train_options.py
  class TrainOptions (line 3) | class TrainOptions():
    method initialize (line 4) | def initialize(self):
    method print_options (line 34) | def print_options(self, args):

FILE: utils/timer.py
  class Timer (line 3) | class Timer(object):
    method __init__ (line 5) | def __init__(self):
    method tic (line 12) | def tic(self):
    method toc (line 15) | def toc(self, average=True):