SYMBOL INDEX (23 symbols across 4 files)

FILE: yad2k/models/keras_darknet19.py
  function DarknetConv2D (line 18) | def DarknetConv2D(*args, **kwargs):
  function DarknetConv2D_BN_Leaky (line 25) | def DarknetConv2D_BN_Leaky(*args, **kwargs):
  function bottleneck_block (line 35) | def bottleneck_block(outer_filters, bottleneck_filters):
  function bottleneck_x2_block (line 43) | def bottleneck_x2_block(outer_filters, bottleneck_filters):
  function darknet_body (line 51) | def darknet_body():
  function darknet19 (line 67) | def darknet19(inputs):

FILE: yad2k/models/keras_yolo.py
  function space_to_depth_x2 (line 26) | def space_to_depth_x2(x):
  function space_to_depth_x2_output_shape (line 34) | def space_to_depth_x2_output_shape(input_shape):
  function yolo_body (line 44) | def yolo_body(inputs, num_anchors, num_classes):
  function yolo_head (line 65) | def yolo_head(feats, anchors, num_classes):
  function yolo_boxes_to_corners (line 135) | def yolo_boxes_to_corners(box_xy, box_wh):
  function yolo_loss (line 148) | def yolo_loss(args,
  function yolo (line 297) | def yolo(inputs, anchors, num_classes):
  function yolo_filter_boxes (line 305) | def yolo_filter_boxes(box_confidence, boxes, box_class_probs, threshold=...
  function yolo_eval (line 321) | def yolo_eval(yolo_outputs,
  function preprocess_true_boxes (line 351) | def preprocess_true_boxes(true_boxes, anchors, image_size):

FILE: yad2k/utils/utils.py
  function compose (line 6) | def compose(*funcs):

FILE: yolo_utils.py
  function read_classes (line 10) | def read_classes(classes_path):
  function read_anchors (line 16) | def read_anchors(anchors_path):
  function generate_colors (line 23) | def generate_colors(class_names):
  function scale_boxes (line 32) | def scale_boxes(boxes, image_shape):
  function preprocess_image (line 41) | def preprocess_image(img_path, model_image_size):
  function draw_boxes (line 50) | def draw_boxes(image, out_scores, out_boxes, out_classes, class_names, c...