the differences between rknn v1.3 vs lower rknn version

Hi,
I am trying to run a rknn model in lower version of rknn.
In rknn version 1.3.0, it works perfectly. Output is a array with shape = (1,320,320,3)
In rknn version 1.2.0 or 0.9.9: output shape = (1, 307200).

I tried to reshape the output with shape = (1, 307200) to has same output of rknnv1.3.0. But the result is totally different.

1. out_boxes = rknn.inference(inputs=[image])
   
2. out_boxes = out_boxes[0].reshape(320, 320, 3)

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Please give me advices, how should I reshape my rknn 1.2 outpur? Thanks

jefferyzhang 发表于 2020-2-28 10:25
Version 1.3.0 fixes many issues and add pytorch & mxnet support .
In the older version, you can resh ...

Thanks. I tried again. reshape works in rknn v1.20, but not 0.9.9. How should I reshape in version 0.9.9? Thanks again!

jefferyzhang 发表于 2020-2-28 12:20
We don't suggest use old version.
I found there was something changed in output shape in version 1 ...

Thanks for your suggestion. By the way, What if I want to use rknn v1.3 for c++ api? Should I rebuild the rootfs.img? Or just get rknn-appi.so (for rknn v1.3.0) and link it into my program?

jefferyzhang 发表于 2020-2-28 14:24
Update system by using apt upgrade/ dnf update, which will update librknn-api.so and npu-driver, bot ...

thank you very much