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How to change yolo bounding style from (x,y,w,h) to (x,y,w,h,a)?

I'm training yolo model, I have the bounding boxes in this format(x,y,w,h,a)=>ex (197.996317 669.721413 390.070453 29.258397 7.696052) the "a" is the angle of the bounding box , I want to implement the angel to bounding box format and train the yolo network

I already calculated bounding box and his angle but I don't know how to implement that to the yolo network style.

How can I implement angle to yolo bounding box style?

Well 60 images is really not - You dont have enough combination - explaining why u need to retrain.

Read this here https://github.com/AlexeyAB/darknet#how-to-train-to-detect-your-custom-objects It also applies to the original repository.

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