Function merge_external_params_with_configs has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.

Open

def merge_external_params_with_configs(configs, hparams=None, kwargs_dict=None):
  """Updates `configs` dictionary based on supplied parameters.

  This utility is for modifying specific fields in the object detection configs.
  Say that one would like to experiment with different learning rates, momentum

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Avoid deeply nested control flow statements.

Open

          if not display_str:
            display_str = 'ID {}'.format(track_ids[i])
          else:
            display_str = '{}: ID {}'.format(display_str, track_ids[i])
        box_to_display_str_map[box].append(display_str)

Function _get_overlaps_and_scores_mask_mode has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

  def _get_overlaps_and_scores_mask_mode(self, detected_boxes, detected_scores,

Function multilevel_matmul_crop_and_resize has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

def multilevel_matmul_crop_and_resize(images, boxes, box_levels, crop_size,

Function draw_side_by_side_evaluation_image has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

def draw_side_by_side_evaluation_image(eval_dict,

Function __init__ has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

  def __init__(self,

Function create_visualization_fn has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

def create_visualization_fn(category_index,

Function batch_position_sensitive_crop_regions has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

def batch_position_sensitive_crop_regions(images,

Function get_configs_from_multiple_files has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

def get_configs_from_multiple_files(model_config_path="",

Function create_visualization_fn has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.

Open

def create_visualization_fn(category_index,
                            include_masks=False,
                            include_keypoints=False,
                            include_keypoint_scores=False,
                            include_track_ids=False,

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Avoid deeply nested control flow statements.

Open

          if not display_str:
            display_str = '{}%'.format(round(100*scores[i]))
          else:
            display_str = '{}: {}%'.format(display_str, round(100*scores[i]))
        if not skip_track_ids and track_ids is not None:

Function ravel_indices has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

def ravel_indices(feature_grid_y, feature_grid_x, num_levels, height, width,

Function _apply_multi_bbox_augmentation has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

def _apply_multi_bbox_augmentation(image, bboxes, prob, aug_func,

Function filter_variables has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.

Open

def filter_variables(variables, filter_regex_list, invert=False):
  """Filters out the variables matching the filter_regex.

  Filter out the variables whose name matches the any of the regular
  expressions in filter_regex_list and returns the remaining variables.

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Function __init__ has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

  def __init__(self, min_level, max_level, anchor_scale, aspect_ratios,

Function build has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.

Open

def build(hyperparams_config, is_training):
  """Builds tf-slim arg_scope for convolution ops based on the config.

  Returns an arg_scope to use for convolution ops containing weights
  initializer, weights regularizer, activation function, batch norm function

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Function _predict_head has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

  def _predict_head(self, head_name, head_obj, image_feature, box_tower_feature,

Function create_input_queue has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

def create_input_queue(batch_size_per_clone, create_tensor_dict_fn,

Function get_evaluators has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.

Open

def get_evaluators(eval_config, categories):
  """Returns the evaluator class according to eval_config, valid for categories.

  Args:
    eval_config: evaluation configurations.

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Avoid deeply nested control flow statements.

Open

          if kv.id in list_of_keypoint_ids:
            raise ValueError('Duplicate keypoint ids are not allowed. '
                             'Found {} more than once'.format(kv.id))
          keypoints[kv.label] = kv.id