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This repository has been archived by the owner on Dec 8, 2024. It is now read-only.
I have trained using :
python3 train.py --dataset COCO --dataset_root data/coco/ --network efficientdet-d0 --batch_size 8 --num_epoch 15 --num_class 1 --save_folder saved/
After 5 epochs:
cls_loss : 2.9468758384609828e-06
reg_loss : 0.0
mean_loss : 2.9462864633387655e-06
time : 474.67488193511963
loss : 2.9462864633387655e-06
15 epoch: start validation....
No boxes to NMS
No boxes to NMS
No boxes to NMS
Even if I run:
python3 eval.py --dataset COCO --dataset_root data/coco --weight saved3/COCO/efficientdet-d0/checkpoint_14.pth
Output :
Loading checkpoint: saved3/COCO/efficientdet-d0/checkpoint_14.pth ...
Loaded pretrained weights for efficientnet-b0
loading annotations into memory...
Done (t=0.03s)
creating index...
index created!
No boxes to NMS
No boxes to NMS
No boxes to NMS
Can someone help me with this? Thank you.
The text was updated successfully, but these errors were encountered:
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Hi,
I have trained using :
python3 train.py --dataset COCO --dataset_root data/coco/ --network efficientdet-d0 --batch_size 8 --num_epoch 15 --num_class 1 --save_folder saved/
After 5 epochs:
Even if I run:
python3 eval.py --dataset COCO --dataset_root data/coco --weight saved3/COCO/efficientdet-d0/checkpoint_14.pth
Output :
Can someone help me with this? Thank you.
The text was updated successfully, but these errors were encountered: