As title, I am using a tensorflow version of YOLO model (the model i used is here [url]https://github.com/experiencor/keras-yolo2[/url], I forked it a while ago, but it should be similar at the core). And I keep having wrong result with this model. I have tested some hypothesis, and it seems to be that the model somehow produce wrong output when using tensorrt.
What I changed was to replace Leaky Relu with eltwise and scale as suggested in [url]https://devtalk.nvidia.com/default/topic/990426/jetson-tx1/tensorrt-yolo-inference-error/post/5271228/#5271228[/url]. Still, my model produce result that are way off from what it is supposed to. Any help is appreciated.