Add cv::cvtColor(image, input_image, cv::COLOR_BGR2RGB); To yolo cpp examples?

[trns1997]

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Question

We basically used the following example: https://github.com/ultralytics/ultralytics/blob/main/examples/YOLOv8-LibTorch-CPP-Inference/main.cc test libtorch's cpp api to load our model and predict objects in an image. We initially had problems when performing inference, the output prediction were garbage, and after a bit of searching figured out that open cv read images in BGR format and we trained our model in python using RGB format. I was wondering if it is worth mentioning somewhere or adding a note that Add cv::cvtColor(image, input_image, cv::COLOR_BGR2RGB); if model trained on images with RGB format, and opencv reads in BGR format. Let me know what you think. I think it is worth mentioning the issue :)

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[trns1997]

@pderrenger we're using the latest version, and everything works perfectly. We just spent sometime figuring out where the problem was coming from, finally not an ultralytics problem, just a problem regarding how the input data is read. Yes it would be great to add this as a note for future users :) .