Data Augmentation in Tensorflow Object Detection API
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: In config file, we are given the default Augmentation option as shown below. data_augmentation_options { random_horizontal_flip { } } But I wondered how it works with the bounding box(ground truth box) values given with the training images. so I looked at preprocessor.py , random_horizontal_flip() takes 'boxes=None' parameter. Since no argument is given in the config file, I assume this flip does not account bounding box when it does the random horizontal flip. My question is what arguments do I use to add the value of bounding box in the