What is the output mean?

[Jan5566]

Hello @PINTO0309,

outputs = exec_net.infer(inputs={input_blob: prepimg})
I got two outputs and it's shape like (1,18,13,13) and (1,18,26,26). I want to know each number means. I also want to know how EntryIndex function work. I will appreciate your help with this question.

[pra-dan]

I can help you with the first part, the second part is a problem for me too!
The results are divided between these 2 layers, the feature map dimensions of which, you have mentioned above. But I got the following for v3-tiny

Layer	Feature map shape
detector/yolo-v3-tiny/Conv_12/BiasAdd/YoloRegion	(1, 255, 26, 26)
detector/yolo-v3-tiny/Conv_9/BiasAdd/YoloRegion	(1, 255, 13, 13)

If you can justify why you don't get 255 and get 18, I can help you understanding the 255 value.