Did anybody train voc with this code? about yolov3 HOT 10 CLOSED

If you successfully trained COCO with this code I'd love to hear more about how you did it, what parameters did you use and what (if any) changes you made for this to work. And obviously - did you get the same mAP as the original paper? :-)

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Actually I haven't run mAP yet. I just put some pics into SAMPLE and run detect.py. The result seems fine.

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@nirbenz Have you trained COCO with this code? I trained several other data sets from scratch, all of them got low recall, as like around 0.6-0.7.

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I‘ve trained voc with this code，and the mAP is around 0.5-0.6。However，I haven't get the same mAP as original paper by training COCO!

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I‘ve trained voc with this code，and the mAP is around 0.5-0.6。However，I haven't get the same mAP as original paper by training COCO!

How can you train your dataset on this repo? I wonder wether it impossible to train without flag --report?As is setted in model.py , the p_boxes will always be None without flag --report!!!! Thus no parameters were delivered into build_targets(),and no prediction generated such as tx,ty,th,tw,etc.

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I‘ve trained voc with this code，and the mAP is around 0.5-0.6。However，I haven't get the same mAP as original paper by training COCO!

i also make a similiar result!
can you describe more detailed？ cfg is what? how about anchor size? how about hyp in loss function? test set and train set are what?

from yolov3.

I‘ve trained voc with this code，and the mAP is around 0.5-0.6。However，I haven't get the same mAP as original paper by training COCO!

i also make a similiar result!
can you describe more detailed？ cfg is what? how about anchor size? how about hyp in loss function? test set and train set are what?

excuse me. i've trained voc with batchsize equals 2 and epoches equals 88 but the map is only around 0.4. Why ? batchsize and epoches are too small? Hope reply soon.

from yolov3.

I‘ve trained voc with this code，and the mAP is around 0.5-0.6。However，I haven't get the same mAP as original paper by training COCO!

i also make a similiar result!
can you describe more detailed？ cfg is what? how about anchor size? how about hyp in loss function? test set and train set are what?

excuse me. i've trained voc with batchsize equals 2 and epoches equals 88 but the map is only around 0.4. Why ? batchsize and epoches are too small? Hope reply soon.

batchsize is 2? do you use how many GPUs, epochs about 50 the mAP is stable

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Closing for inactivity.

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