SYMBOL INDEX (96 symbols across 14 files)

FILE: core/test.py
  function test_net (line 25) | def test_net(cfg,

FILE: core/train.py
  function train_net (line 27) | def train_net(cfg):

FILE: models/decoder.py
  class Decoder (line 8) | class Decoder(torch.nn.Module):
    method __init__ (line 9) | def __init__(self, cfg):
    method forward (line 39) | def forward(self, image_features):

FILE: models/encoder.py
  class Encoder (line 12) | class Encoder(torch.nn.Module):
    method __init__ (line 13) | def __init__(self, cfg):
    method forward (line 41) | def forward(self, rendering_images):

FILE: models/merger.py
  class Merger (line 8) | class Merger(torch.nn.Module):
    method __init__ (line 9) | def __init__(self, cfg):
    method forward (line 40) | def forward(self, raw_features, coarse_volumes):

FILE: models/refiner.py
  class Refiner (line 8) | class Refiner(torch.nn.Module):
    method __init__ (line 9) | def __init__(self, cfg):
    method forward (line 55) | def forward(self, coarse_volumes):

FILE: runner.py
  function get_args_from_command_line (line 24) | def get_args_from_command_line():
  function main (line 45) | def main():

FILE: utils/binvox_converter.py
  function main (line 21) | def main():

FILE: utils/binvox_rw.py
  class Voxels (line 66) | class Voxels(object):
    method __init__ (line 87) | def __init__(self, data, dims, translate, scale, axis_order):
    method clone (line 95) | def clone(self):
    method write (line 101) | def write(self, fp):
  function read_header (line 105) | def read_header(fp):
  function read_as_3d_array (line 118) | def read_as_3d_array(fp, fix_coords=True):
  function read_as_coord_array (line 155) | def read_as_coord_array(fp, fix_coords=True):
  function dense_to_sparse (line 206) | def dense_to_sparse(voxel_data, dtype=np.int):
  function sparse_to_dense (line 215) | def sparse_to_dense(voxel_data, dims, dtype=np.bool):
  function write (line 238) | def write(voxel_model, fp):

FILE: utils/binvox_visualization.py
  function get_volume_views (line 12) | def get_volume_views(volume, save_dir, n_itr):

FILE: utils/data_loaders.py
  class DatasetType (line 22) | class DatasetType(Enum):
  class ShapeNetDataset (line 31) | class ShapeNetDataset(torch.utils.data.dataset.Dataset):
    method __init__ (line 33) | def __init__(self, dataset_type, file_list, n_views_rendering, transfo...
    method __len__ (line 39) | def __len__(self):
    method __getitem__ (line 42) | def __getitem__(self, idx):
    method set_n_views_rendering (line 50) | def set_n_views_rendering(self, n_views_rendering):
    method get_datum (line 53) | def get_datum(self, idx):
  class ShapeNetDataLoader (line 95) | class ShapeNetDataLoader:
    method __init__ (line 96) | def __init__(self, cfg):
    method get_dataset (line 105) | def get_dataset(self, dataset_type, n_views_rendering, transforms=None):
    method get_files_of_taxonomy (line 126) | def get_files_of_taxonomy(self, taxonomy_folder_name, samples):
  class Pascal3dDataset (line 173) | class Pascal3dDataset(torch.utils.data.dataset.Dataset):
    method __init__ (line 175) | def __init__(self, file_list, transforms=None):
    method __len__ (line 179) | def __len__(self):
    method __getitem__ (line 182) | def __getitem__(self, idx):
    method get_datum (line 190) | def get_datum(self, idx):
  class Pascal3dDataLoader (line 215) | class Pascal3dDataLoader:
    method __init__ (line 216) | def __init__(self, cfg):
    method get_dataset (line 226) | def get_dataset(self, dataset_type, n_views_rendering, transforms=None):
    method get_files_of_taxonomy (line 247) | def get_files_of_taxonomy(self, taxonomy_name, samples):
  class Pix3dDataset (line 309) | class Pix3dDataset(torch.utils.data.dataset.Dataset):
    method __init__ (line 311) | def __init__(self, file_list, transforms=None):
    method __len__ (line 315) | def __len__(self):
    method __getitem__ (line 318) | def __getitem__(self, idx):
    method get_datum (line 326) | def get_datum(self, idx):
  class Pix3dDataLoader (line 351) | class Pix3dDataLoader:
    method __init__ (line 352) | def __init__(self, cfg):
    method get_dataset (line 372) | def get_dataset(self, dataset_type, n_views_rendering, transforms=None):
    method get_files_of_taxonomy (line 393) | def get_files_of_taxonomy(self, taxonomy_name, samples):

FILE: utils/data_transforms.py
  class Compose (line 16) | class Compose(object):
    method __init__ (line 24) | def __init__(self, transforms):
    method __call__ (line 27) | def __call__(self, rendering_images, bounding_box=None):
  class ToTensor (line 37) | class ToTensor(object):
    method __call__ (line 42) | def __call__(self, rendering_images):
  class Normalize (line 52) | class Normalize(object):
    method __init__ (line 53) | def __init__(self, mean, std):
    method __call__ (line 57) | def __call__(self, rendering_images):
  class RandomPermuteRGB (line 65) | class RandomPermuteRGB(object):
    method __call__ (line 66) | def __call__(self, rendering_images):
  class CenterCrop (line 76) | class CenterCrop(object):
    method __init__ (line 77) | def __init__(self, img_size, crop_size):
    method __call__ (line 84) | def __call__(self, rendering_images, bounding_box=None):
  class RandomCrop (line 170) | class RandomCrop(object):
    method __init__ (line 171) | def __init__(self, img_size, crop_size):
    method __call__ (line 178) | def __call__(self, rendering_images, bounding_box=None):
  class RandomFlip (line 252) | class RandomFlip(object):
    method __call__ (line 253) | def __call__(self, rendering_images):
  class ColorJitter (line 263) | class ColorJitter(object):
    method __init__ (line 264) | def __init__(self, brightness, contrast, saturation):
    method __call__ (line 269) | def __call__(self, rendering_images):
    method _adjust_image_attr (line 303) | def _adjust_image_attr(self, img, attr_name, attr_value):
    method _bgr_to_gray (line 330) | def _bgr_to_gray(self, bgr):
    method _alpha_blend (line 349) | def _alpha_blend(self, im1, im2, alpha):
  class RandomNoise (line 367) | class RandomNoise(object):
    method __init__ (line 368) | def __init__(self,
    method __call__ (line 376) | def __call__(self, rendering_images):
  class RandomBackground (line 415) | class RandomBackground(object):
    method __init__ (line 416) | def __init__(self, random_bg_color_range, random_bg_folder_path=None):
    method __call__ (line 423) | def __call__(self, rendering_images):

FILE: utils/dataset_analyzer.py
  function main (line 16) | def main():

FILE: utils/network_utils.py
  function var_or_cuda (line 10) | def var_or_cuda(x):
  function init_weights (line 17) | def init_weights(m):
  function save_checkpoints (line 30) | def save_checkpoints(cfg, file_path, epoch_idx, encoder, encoder_solver,...
  function count_parameters (line 53) | def count_parameters(model):
  class AverageMeter (line 57) | class AverageMeter(object):
    method __init__ (line 59) | def __init__(self):
    method reset (line 62) | def reset(self):
    method update (line 68) | def update(self, val, n=1):