After training on the VOC2007 dataset with default options except epochs=5, and efficientdet-d2, I am getting detections of all classes at all anchorboxes when using both eval.py and demo.py. Changing thresholds to 0.99+ does not curb the detections.
I get the same result when training with a very tiny dataset with fewer epochs. Additionally my validation mAP is always 0, even when I evaluate on the training set.
I am using Luke Melas's backbone as suggested in this issue#111.
After training on the VOC2007 dataset with default options except epochs=5, and efficientdet-d2, I am getting detections of all classes at all anchorboxes when using both eval.py and demo.py. Changing thresholds to 0.99+ does not curb the detections.
I get the same result when training with a very tiny dataset with fewer epochs. Additionally my validation mAP is always 0, even when I evaluate on the training set.
I am using Luke Melas's backbone as suggested in this issue#111.
Name Version Build Channel
Here is the output for
python demo.py --cam -w=./saved/weights/VOC/efficientdet-d2/checkpoint_5.pth -t=.999 -it=.999: