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 config file in the code snippet section shown above.
回答1:
The boxes will get flipped too. If you look down in the preprocessor file, you'll notice a map that defines what inputs of the tensor dictionary will get passed into the preprocessing function. The groundtruth boxes are passed into random_horizontal_flip.
来源：https://stackoverflow.com/questions/50293090/data-augmentation-in-tensorflow-object-detection-api