SYMBOL INDEX (45 symbols across 11 files)

FILE: convert_voc12.py
  function _int64_feature (line 9) | def _int64_feature(value):
  function _float64_feature (line 16) | def _float64_feature(value):
  function _bytes_feature (line 23) | def _bytes_feature(value):
  function _convert_to_example (line 28) | def _convert_to_example(filename, image_buffer, segmentation, height, wi...
  function _convert_to_tfrecord (line 42) | def _convert_to_tfrecord(record_dir):

FILE: eval_voc12.py
  function save (line 16) | def save(saver, sess, logdir, step):
  function load (line 33) | def load(saver, sess, ckpt_dir):
  function main (line 49) | def main():

FILE: libs/datasets/VOC12/image_reader.py
  function image_scaling (line 6) | def image_scaling(img, label):
  function image_mirroring (line 25) | def image_mirroring(img, label):
  function random_crop_and_pad_image_and_labels (line 41) | def random_crop_and_pad_image_and_labels(image, label, crop_h, crop_w, i...
  function read_labeled_image_list (line 72) | def read_labeled_image_list(data_dir, data_list):
  function read_images_from_disk (line 94) | def read_images_from_disk(input_queue, input_size, random_scale, random_...
  class ImageReader (line 139) | class ImageReader(object):
    method __init__ (line 144) | def __init__(self, data_dir, data_list, input_size,
    method dequeue (line 170) | def dequeue(self, num_elements):

FILE: libs/datasets/VOC12/utils.py
  function decode_labels (line 18) | def decode_labels(mask, num_images=1, num_classes=21):
  function prepare_label (line 42) | def prepare_label(input_batch, new_size, num_classes, one_hot=True):
  function inv_preprocess (line 62) | def inv_preprocess(imgs, num_images, img_mean):

FILE: libs/datasets/dataset_factory.py
  function get_dataset (line 10) | def get_dataset(tfrecord_path):
  function extract_batch (line 46) | def extract_batch(dataset, batch_size, is_training):
  function read_data (line 56) | def read_data(is_training, split_name):
  function read_tfrecord (line 68) | def read_tfrecord(tfrecords_filename):

FILE: libs/nets/deeplabv3.py
  function deeplabv3 (line 71) | def deeplabv3(inputs,

FILE: libs/nets/resnet_utils.py
  class Block (line 46) | class Block(collections.namedtuple('Block', ['scope', 'unit_fn', 'args'])):
  function subsample (line 59) | def subsample(inputs, factor, scope=None):
  function conv2d_same (line 77) | def conv2d_same(inputs, num_outputs, kernel_size, stride, rate=1, scope=...
  function stack_blocks_dense (line 126) | def stack_blocks_dense(net, blocks, output_stride=None,
  function resnet_arg_scope (line 199) | def resnet_arg_scope(weight_decay=0.0001,

FILE: libs/nets/resnet_v1.py
  function bottleneck (line 60) | def bottleneck(inputs,
  function resnet_v1 (line 119) | def resnet_v1(inputs,
  function resnet_v1_block (line 218) | def resnet_v1_block(scope, base_depth, num_units, stride):
  function resnet_v1_50 (line 240) | def resnet_v1_50(inputs,
  function resnet_v1_101 (line 262) | def resnet_v1_101(inputs,
  function resnet_v1_152 (line 284) | def resnet_v1_152(inputs,
  function resnet_v1_200 (line 306) | def resnet_v1_200(inputs,

FILE: libs/preprocess/utils.py
  function random_crop_and_pad_image_and_labels (line 6) | def random_crop_and_pad_image_and_labels(image, label, crop_h, crop_w, i...
  function flip_image (line 39) | def flip_image(image):
  function rescale (line 45) | def rescale(image, gt_mask, h, w, scale):

FILE: libs/preprocess/voc.py
  function preprocess_image (line 6) | def preprocess_image(image, gt_mask, is_training=False):
  function _preprocess_for_training (line 13) | def _preprocess_for_training(image, gt_mask):
  function _preprocess_for_test (line 36) | def _preprocess_for_test(image, gt_mask):

FILE: train_voc12.py
  function save (line 24) | def save(saver, sess, logdir, step):
  function load (line 41) | def load(saver, sess, ckpt_dir):
  function main (line 60) | def main():