Mingxing

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Do you mean all your objects are about 32x32, or do you mean these objects can have different size? Also, what's your image size?

Hi @cgeller , could you paste your complete command line for these two approaches? One potential issues is that when you export the saved model, it already uses the max_instance...

Hi @secortot , you are right, advprop is not open sourced: it is quite expensive to run. I will ask my collaborators to try to open source it when he...

Could you paste the full command line? I don't understand your question.

Sorry, it should be 20, and 0 is always added for background.

Actually, it should be 21 (the length of the label map, including background). Sorry, I gave a wrong information.

Yeah, sounds like a good (and simple optimization) to speed up the training, but I am not sure about the quality impact.

Hi @kartik4949, it would be great if you could help add that :)

Wow, this is great. could you check in this augmentation? I can't wait to re-train the models with this new augmentation.

Hi @Koteswara-ML Apparently, it is because num_classes is different at train and eval time: one is 90 classes and the other is 1 classes.