Line by line explanation of yolox source code of anchor free series network (5) -- mosaic data enhancement and mathematical understanding

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 mosaic Data to enhance , Mostly opencv The operation of .

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Here is a mosaic Enhanced rendering , It can be seen that ： The image is stitched by four images , And each image has a certain affine transformation ( rotate 、 translation 、resize etc. ).

We turn on yolox\data\datasets\mosaicdetection.py, Start at the place shown below ：