I encountered a bug in detect

[p110120p1]

Hello, when I used the same onnx model to detect the original yolov5 project and this project, I encountered the problem of different results. The original yolov5 project category result is correct, but only part of the category of this project is correct, the recognition box The same, but the confidence level is also different. How to solve this problem?

[itsnine]

@p110120p1 hi, I'll check it a bit later, when I have time for that

[p110120p1]

@itsnine OK, thank you.

[itsnine]

@p110120p1 sorry for the late answer, I reproduced the problem. I haven't solved this problem yet, because I don't really know the cause of it, probably it could be operations with floating point values in c++, for example, the letterbox function returns visually the same resized image as in python, but the models output for that image is a bit different, even boxes coordinates.
Note that PyTorch and ONNXRuntime results are not the same even in Python.

[p110120p1]

@itsnine Well, it seems possible that this problem is due to differences in the underlying programming language, and thank you for taking the time to try to fix it

[itsnine]

@p110120p1 hi, there was a bug with color conversion, I accidentally used BGR format to detect and I fixed that so in C++ and Python the ONNXRuntime result should be the same now.

[p110120p1]

@itsnine Okay, that's great. Thanks for taking the bug out of your busy schedule