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YOLOv4 Structure
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I have trained a darknet YOLOv4 model on a custom dataset of license plates. I want to know more about my trained model such as how many layers are there, the optimiser used or the backbone of the trained model?
Is there any way to do so? If so please can someone guide. I also want to make a confusion matrix for my Yolo model. I have the TP, FP and IOU values how do I plot a confusion matrix and get the coordinates of the bounding box.
Thank you in advance
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