I have converted a custom YOLO4 model to the tensorflow saved_model format. I can successfully use this for single image inference. Now when I feed in a batch of images for client side batching I get the results back in one list without separation of the results into frames so I can't work out which detections go with which frames. Can you provide any info on whether this behavior is expected or how I might remedy it?
I have converted a custom YOLO4 model to the tensorflow saved_model format. I can successfully use this for single image inference. Now when I feed in a batch of images for client side batching I get the results back in one list without separation of the results into frames so I can't work out which detections go with which frames. Can you provide any info on whether this behavior is expected or how I might remedy it?