File yolo_loss.py has 566 lines of code (exceeds 250 allowed). Consider refactoring.

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# Copyright 2024 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at

Function __init__ has 17 arguments (exceeds 4 allowed). Consider refactoring.

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  def __init__(self,

Function __init__ has 15 arguments (exceeds 4 allowed). Consider refactoring.

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  def __init__(self,

Function _compute_loss has 45 lines of code (exceeds 25 allowed). Consider refactoring.

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  def _compute_loss(self, true_counts, inds, y_true, boxes, classes, y_pred):
    """Per FPN path loss logic used for Yolov3, Yolov4, and Yolo-Tiny."""
    if self._box_type == 'scaled':
      # Darknet Model Propagates a sigmoid once in back prop so we replicate
      # that behaviour

Function _compute_loss has 39 lines of code (exceeds 25 allowed). Consider refactoring.

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  def _compute_loss(self, true_counts, inds, y_true, boxes, classes, y_pred):
    """Per FPN path loss logic for Yolov4-csp, Yolov4-Large, and Yolov5."""
    # Generate shape constants.
    shape = tf.shape(true_counts)
    batch_size, width, height, num = shape[0], shape[1], shape[2], shape[3]

Function _tiled_global_box_search has 7 arguments (exceeds 4 allowed). Consider refactoring.

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  def _tiled_global_box_search(self,

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

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  def __call__(self, true_counts, inds, y_true, boxes, classes, y_pred):

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

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  def _compute_loss(self, true_counts, inds, y_true, boxes, classes, y_pred):

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

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  def _compute_loss(self, true_counts, inds, y_true, boxes, classes, y_pred):

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

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  def post_path_aggregation(self, loss, box_loss, conf_loss, class_loss,

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

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  def post_path_aggregation(self, loss, box_loss, conf_loss, class_loss,

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

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  def _compute_loss(self, true_counts, inds, y_true, boxes, classes, y_pred):

Function _compute_loss has a Cognitive Complexity of 7 (exceeds 5 allowed). Consider refactoring.

Open

  def _compute_loss(self, true_counts, inds, y_true, boxes, classes, y_pred):
    """Per FPN path loss logic used for Yolov3, Yolov4, and Yolo-Tiny."""
    if self._box_type == 'scaled':
      # Darknet Model Propagates a sigmoid once in back prop so we replicate
      # that behaviour

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