voc-dpm
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Regarding the frequent occurrence of “NaN” during training?
I‘m training by some grayscale images。
Last time I used 70 positive samples and 10 negative samples to train a detectable model。
But this time i use some other grayscale images for training (50:20, 120:20), a lot of NaN will appear during the training process
Does anyone know what is causing this?