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<11% mAP with pretrained YOLO after tiny amount of training

Open half-potato opened this issue 4 years ago • 1 comments

Only 200 iterations of training on COCO completely destroys the accuracy of the pretrained YOLOv3 net. I am using an unchanged repo with the COCO dataset downloaded using the script and version 1.1.0 of pytorch.

Why does this happen? Do I actually need to train it from scratch completely?

half-potato avatar Aug 20 '19 01:08 half-potato

Yes. It has updated the weights file :D Now just remove the yolov3.weights file and replace it with the new file. I think this is the only explanation from me

fadi212 avatar Aug 20 '19 10:08 fadi212