SYMBOL INDEX (42 symbols across 5 files)

FILE: ctrl_model.py
  class CTRL_Model (line 11) | class CTRL_Model(object):
    method __init__ (line 12) | def __init__(self, batch_size, train_csv_path, test_csv_path, test_vis...
    method fill_feed_dict_train (line 28) | def fill_feed_dict_train(self):
    method fill_feed_dict_train_reg (line 41) | def fill_feed_dict_train_reg(self):
    method cross_modal_comb (line 55) | def cross_modal_comb(self, visual_feat, sentence_embed, batch_size):
    method visual_semantic_infer (line 70) | def visual_semantic_infer(self, visual_feature_train, sentence_embed_t...
    method compute_loss_reg (line 97) | def compute_loss_reg(self, sim_reg_mat, offset_label):
    method init_placeholder (line 130) | def init_placeholder(self):
    method get_variables_by_name (line 140) | def get_variables_by_name(self,name_list):
    method training (line 155) | def training(self, loss):
    method construct_model (line 163) | def construct_model(self):

FILE: dataset.py
  function calculate_IoU (line 11) | def calculate_IoU(i0, i1):
  function calculate_nIoL (line 20) | def calculate_nIoL(base, sliding_clip):
  class TrainingDataSet (line 27) | class TrainingDataSet(object):
    method __init__ (line 28) | def __init__(self, sliding_dir, it_path, batch_size):
    method get_context_window (line 90) | def get_context_window(self, clip_name, win_length):
    method next_batch (line 123) | def next_batch(self):
    method next_batch_iou (line 152) | def next_batch_iou(self):
  class TestingDataSet (line 184) | class TestingDataSet(object):
    method __init__ (line 185) | def __init__(self, img_dir, csv_path, batch_size):
    method get_clip_sample (line 230) | def get_clip_sample(self, sample_num, movie_name, clip_name):
    method get_context_window (line 243) | def get_context_window(self, clip_name, win_length):
    method load_movie (line 275) | def load_movie(self, movie_name):
    method load_movie_byclip (line 290) | def load_movie_byclip(self,movie_name,sample_num):
    method load_movie_slidingclip (line 306) | def load_movie_slidingclip(self, movie_name, sample_num):

FILE: main.py
  function dense_to_one_hot (line 11) | def dense_to_one_hot(labels_dense, num_classes):
  function compute_ap (line 19) | def compute_ap(class_score_matrix, labels):
  function calculate_IoU (line 30) | def calculate_IoU(i0,i1):
  function nms_temporal (line 36) | def nms_temporal(x1,x2,s, overlap):
  function compute_IoU_recall_top_n_forreg (line 67) | def compute_IoU_recall_top_n_forreg(top_n, iou_thresh, sentence_image_ma...
  function do_eval_slidingclips (line 92) | def do_eval_slidingclips(sess, vs_eval_op, model, movie_length_info, ite...
  function run_training (line 151) | def run_training():
  function main (line 186) | def main(_):

FILE: util/cnn.py
  function conv_layer (line 5) | def conv_layer(name, bottom, kernel_size, stride, output_dim, padding='S...
  function conv_relu_layer (line 49) | def conv_relu_layer(name, bottom, kernel_size, stride, output_dim, paddi...
  function deconv_layer (line 56) | def deconv_layer(name, bottom, kernel_size, stride, output_dim, padding=...
  function deconv_relu_layer (line 86) | def deconv_relu_layer(name, bottom, kernel_size, stride, output_dim, pad...
  function pooling_layer (line 93) | def pooling_layer(name, bottom, kernel_size, stride):
  function fc_layer (line 98) | def fc_layer(name, bottom, output_dim, bias_term=True, weights_initializ...
  function fc_relu_layer (line 144) | def fc_relu_layer(name, bottom, output_dim, bias_term=True,
  function softmax_loss_layer (line 151) | def softmax_loss_layer(name, score_bottom, label_bottom):

FILE: vs_multilayer.py
  function vs_multilayer (line 14) | def vs_multilayer(input_batch,name,middle_layer_dim=1000,reuse=False):