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I ran the command as specified in the docs to train on an RTX3090 using the potholes dataset as follows.
python train.py --use-pretrain True --model-type p5 --dataset-type voc --dataset dataset/pothole_voc --num-classes 1 --class-names pothole.names --voc-train-set dataset_1,train --voc-val-set dataset_1,val --epochs 200 --batch-size 4 --multi-scale 320,352,384,416,448,480,512 --augment ssd_random_crop
However I cannot reproduce the mAP as presented.
Similarly the training loss looks quite different.
Any thoughts on what I might be doing wrong? Or perhaps there has been a material change to the repo since those results were posted.
Feedback appreciated and thanks for providing this good work to the community.
The text was updated successfully, but these errors were encountered:
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I ran the command as specified in the docs to train on an RTX3090 using the potholes dataset as follows.
However I cannot reproduce the mAP as presented.

Similarly the training loss looks quite different.

Any thoughts on what I might be doing wrong? Or perhaps there has been a material change to the repo since those results were posted.
Feedback appreciated and thanks for providing this good work to the community.
The text was updated successfully, but these errors were encountered: