official/projects/centernet/dataloaders/centernet_input.py
Function _parse_train_data
has a Cognitive Complexity of 20 (exceeds 5 allowed). Consider refactoring. Open
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def _parse_train_data(self, data):
"""Generates images and labels that are usable for model training.
We use random flip, random scaling (between 0.6 to 1.3), cropping,
and color jittering as data augmentation
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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 centernet_input.py
has 264 lines of code (exceeds 250 allowed). Consider refactoring. Open
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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 15 arguments (exceeds 4 allowed). Consider refactoring. Open
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def __init__(self,
Function _build_label
has 5 arguments (exceeds 4 allowed). Consider refactoring. Open
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def _build_label(self,