@PINTO0309 Hi,
Nice work with YOLOv4 / tiny!

As I see you use:

• NCHW for: OpenVINO (xml / bin), Darknet (cfg / weights)

• NHWC for: TFLite, Keras (yolov4_tiny_voc.json / yolov4_tiny_voc.h5), TF1 (pb), TF2 (saved_models.json / saved_models.pb)

I have several questions:

• Is there an easy way to convert ONNX or PB from (NCHW) to (NHWC)?
  I've seen converters that add transpose before and after each layer, but this seems to slow things down a lot. Is it possible to do this transformation without slowing down the inference?

• Is there an easy way to convert TF1-pb to TF2-saved_models.pb ?

• Is NHWC slowing down execution on the GPU?

• How many FPS do you get on Google Coral TPU-Edge and RaspberryPi4 for yolov4-tiny (int8)?

• What script did you use to get yolov4_tiny_voc.json ?