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
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.