Line by line explanation of yolox source code of anchor free series network (6) -- mixup data enhancement

The whole series includes ：Demo Explain the source code line by line ->train The script source code is explained line by line ->backbone Explain the source code line by line ->FPN Explain the source code line by line ->Head Explain the source code line by line ->loss Explain the source code line by line -> The source code of data loading is explained line by line -> The source code of data enhancement is explained line by line ->simOTA Explain the source code line by line . Ensure line by line , Note that line by line , Include python grammar ,tensor Role and application of dimension and line by line code . In fact, there is no mystery about the network structure , It's a stack of modules , There is no reason why you can modify any module . After reading this series, I can do anything about any network structure at will , It's not just limited to one caller .

This article is about YOLOX Medium mixup Data to enhance . The process is to zoom the two pictures , Flip or mosaic After the data is enhanced, it is mixed in a certain proportion , At the same time gtbox Mix . The code is only 60 or 70 lines , Is the simplest section of this series .

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take YOLOX in mixup The enhanced code is positioned to yolox\data\datasets\mosaicdetection.py Of mixup() Method , In this method ,origin_img Parameters represent mosaic Enhanced image ,origin_labels Parameters represent mosaic Enhanced label ,input_dim The parameter represents the preset input size , Such as (640, 640).</