Worse accuracy with ONNX version (inferenced in C++ by OpenCV) about bonnetal HOT 5 CLOSED

Hi,

The network is not the only step taken to segment the image. Before the network you need to put the images in RGB (opencv uses BGR), and normalize the images. You can check the python script and check every step taken before the model inference happens. This happens in the User class if I am not mistaken. I am on my phone and can't check no

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I suggest you use our C++ library in your project instead of opencv. It takes care of all this for you, and it uses tensor RT which makes this model run at 200fps when infering in int8

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Thank you for your answer. I was trying to build your library follow instructions (by catkin) but I've got errors which I wasn't able to fix :(
I would like to exploit TensorRT library but I'm forced to run it on PC without GPU. Furthermore, I have to work on windows...
I will try to apply changes :)

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I have another question... I'm also working on keypoint detection (for human pose estimation) and I've read that you're going add this algorithm to your library. I would like to ask you how is it going :) ?

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Unfortunately, since we started working with lidar, this project became stagnant (some people in the lab are still adding tasks though). I will remove those placeholders now, since it probably won't happen in the near future

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