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

Open

def ssd_random_crop_pad_fixed_aspect_ratio(
    image,
    boxes,
    labels,
    label_weights,

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

Open

  def assign_center_targets_from_keypoints(self,

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

Open

  def assign_keypoints_offset_targets(self,

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

Open

def batch_assign(target_assigner,

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

Open

def random_image_scale(image,

Avoid deeply nested control flow statements.

Open

          if image_id not in keypoint_annotations_index:
            keypoint_annotations_index[image_id] = {}
          keypoint_annotations_index[image_id][annotation['id']] = annotation

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

Open

def random_black_patches(image,

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

Open

def random_jpeg_quality(image,

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

Open

  def assign_part_and_coordinate_targets(self,

Avoid deeply nested control flow statements.

Open

          if image_id not in densepose_annotations_index:
            densepose_annotations_index[image_id] = {}
          densepose_annotations_index[image_id][annotation['id']] = annotation

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

Open

  def __call__(self,

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

Open

  def batch_assign(self,

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

Open

    def graph_fn(anchor_means, groundtruth_boxlist1, groundtruth_boxlist2,

Avoid deeply nested control flow statements.

Open

          if ((int(global_step.value()) - checkpointed_step) >=
              checkpoint_every_n):
            manager.save()
            checkpointed_step = int(global_step.value())

Avoid deeply nested control flow statements.

Open

            if base_network_scope + '_' not in var_name:  # LSTM and FeatureMap
              variables_to_restore[var_name] = variable
          if scope_to_replace in var_name:

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

Open

def get_configs_from_multiple_files(model_config_path="",

Avoid deeply nested control flow statements.

Open

          for key, val in logged_dict.items():
            tf.compat.v2.summary.scalar(key, val, step=global_step)

Avoid deeply nested control flow statements.

Open

            for tensor in tensor_dict.values():
              self.assertAllEqual(tensor, np.arange(i * i).reshape((i, i)))
              i += 1
        with self.assertRaises(tf.errors.OutOfRangeError):

Avoid deeply nested control flow statements.

Open

          if soft_nms_sigma != 0:
            raise ValueError('Soft NMS not supported in current TF version!')
          selected_indices = tf.image.non_max_suppression(

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

Open

  def get_from_replay_buffer(self, batch_size):
    """Sample a batch of episodes from the replay buffer."""
    if self.replay_buffer is None or len(self.replay_buffer) < 1 * batch_size:
      return None, None

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