SYMBOL INDEX (54 symbols across 6 files)

FILE: charades_dataset.py
  function video_to_tensor (line 15) | def video_to_tensor(pic):
  function load_rgb_frames (line 28) | def load_rgb_frames(image_dir, vid, start, num):
  function load_flow_frames (line 41) | def load_flow_frames(image_dir, vid, start, num):
  function make_dataset (line 61) | def make_dataset(split_file, split, root, mode, num_classes=157):
  class Charades (line 93) | class Charades(data_utl.Dataset):
    method __init__ (line 95) | def __init__(self, split_file, split, root, mode, transforms=None):
    method __getitem__ (line 103) | def __getitem__(self, index):
    method __len__ (line 124) | def __len__(self):

FILE: charades_dataset_full.py
  function video_to_tensor (line 15) | def video_to_tensor(pic):
  function load_rgb_frames (line 28) | def load_rgb_frames(image_dir, vid, start, num):
  function load_flow_frames (line 41) | def load_flow_frames(image_dir, vid, start, num):
  function make_dataset (line 61) | def make_dataset(split_file, split, root, mode, num_classes=157):
  class Charades (line 90) | class Charades(data_utl.Dataset):
    method __init__ (line 92) | def __init__(self, split_file, split, root, mode, transforms=None, sav...
    method __getitem__ (line 101) | def __getitem__(self, index):
    method __len__ (line 122) | def __len__(self):

FILE: extract_features.py
  function load_frame (line 23) | def load_frame(frame_file, resize=False):
  function load_zipframe (line 43) | def load_zipframe(zipdata, name, resize=False):
  function oversample_data (line 66) | def oversample_data(data): # (39, 16, 224, 224, 2)  # Check twice
  function load_rgb_batch (line 88) | def load_rgb_batch(frames_dir, rgb_files,
  function load_ziprgb_batch (line 105) | def load_ziprgb_batch(rgb_zipdata, rgb_files,
  function load_flow_batch (line 122) | def load_flow_batch(frames_dir, flow_x_files, flow_y_files,
  function load_zipflow_batch (line 142) | def load_zipflow_batch(flow_x_zipdata, flow_y_zipdata,
  function run (line 164) | def run(mode='rgb', load_model='', sample_mode='oversample', frequency=16,

FILE: pytorch_i3d.py
  class MaxPool3dSamePadding (line 13) | class MaxPool3dSamePadding(nn.MaxPool3d):
    method compute_pad (line 15) | def compute_pad(self, dim, s):
    method forward (line 21) | def forward(self, x):
  class Unit3D (line 48) | class Unit3D(nn.Module):
    method __init__ (line 50) | def __init__(self, in_channels,
    method compute_pad (line 82) | def compute_pad(self, dim, s):
    method forward (line 89) | def forward(self, x):
  class InceptionModule (line 124) | class InceptionModule(nn.Module):
    method __init__ (line 125) | def __init__(self, in_channels, out_channels, name):
    method forward (line 144) | def forward(self, x):
  class InceptionI3d (line 152) | class InceptionI3d(nn.Module):
    method __init__ (line 189) | def __init__(self, num_classes=400, spatial_squeeze=True,
    method replace_logits (line 307) | def replace_logits(self, num_classes):
    method build (line 318) | def build(self):
    method forward (line 322) | def forward(self, x):
    method extract_features (line 334) | def extract_features(self, x):

FILE: train_i3d.py
  function run (line 34) | def run(init_lr=0.1, max_steps=64e3, mode='rgb', root='/ssd/Charades_v1_...

FILE: videotransforms.py
  class RandomCrop (line 5) | class RandomCrop(object):
    method __init__ (line 13) | def __init__(self, size):
    method get_params (line 20) | def get_params(img, output_size):
    method __call__ (line 37) | def __call__(self, imgs):
    method __repr__ (line 44) | def __repr__(self):
  class CenterCrop (line 47) | class CenterCrop(object):
    method __init__ (line 55) | def __init__(self, size):
    method __call__ (line 61) | def __call__(self, imgs):
    method __repr__ (line 76) | def __repr__(self):
  class RandomHorizontalFlip (line 80) | class RandomHorizontalFlip(object):
    method __init__ (line 86) | def __init__(self, p=0.5):
    method __call__ (line 89) | def __call__(self, imgs):
    method __repr__ (line 101) | def __repr__(self):