simondlevy / AirSimTensorFlow

A simple example of using Microsoft AirSim to train a TensorFlow neural net on collision avoidance

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Images are rewritten after each run

AloshkaD opened this issue · comments

@simondlevy Every time the sim initialized with image_collection.py the 10 images leading to the crash are stored removing the images for the previous crash. My understanding is we need to collect as many "crash"images as we can to train the network. So is this an issue and a bug need to be fixed in the code or am I missing something?

Thanks!