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For models exported by tao toolkit v4.0 (yolov v4 for my case):
It seems like encoder_image_mean and encoder_image_stddev needs to be set to 0 and 1/255 respectively to get any proper inference (thereby nullifying the normalization). When normalizing image between 0 to 1, TAO exported models never output correct predictions.
Is there any way to turn off normalization by a parameter for encoder node?