PyTorch-YOLOv3
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Explanation of pretrained weights
I would like some more information on the yolov3.weights pretrained weights.
Were they learned from trianing on 100% of the 2017 coco training data? Or was some data held back for validation?
Did you use the same script as is found in the file to create a custom model with 80 classes specified?
And did you use the same training procedure as in train.py? Same learning rates, batch sizes, etc?
Thanks!