research/deeplab/evaluation/eval_coco_format.py
Function eval_coco_format
has a Cognitive Complexity of 18 (exceeds 5 allowed). Consider refactoring. Open
Open
def eval_coco_format(gt_json_file,
pred_json_file,
gt_folder=None,
pred_folder=None,
metric='pq',
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Cognitive Complexity
Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.
A method's cognitive complexity is based on a few simple rules:
- Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
- Code is considered more complex for each "break in the linear flow of the code"
- Code is considered more complex when "flow breaking structures are nested"
Further reading
File eval_coco_format.py
has 267 lines of code (exceeds 250 allowed). Consider refactoring. Open
Open
# Lint as: python2, python3
# Copyright 2019 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.
Function eval_coco_format
has 12 arguments (exceeds 4 allowed). Consider refactoring. Open
Open
def eval_coco_format(gt_json_file,
Function _build_metric
has 6 arguments (exceeds 4 allowed). Consider refactoring. Open
Open
def _build_metric(metric,
Function _run_metrics_worker
has 5 arguments (exceeds 4 allowed). Consider refactoring. Open
Open
def _run_metrics_worker(metric_aggregator, gt_folder, pred_folder, work_queue,