How to show result of testing?
When I run testing code in "all.sh", it shows the below picture.
INFO test_engine.py: 330: im_detect: range [15001, 30000] of 30000: 29911/30000 0.613s + 0.001s (eta: 0:00:54)
INFO test_engine.py: 330: im_detect: range [15001, 30000] of 30000: 29921/30000 0.613s + 0.001s (eta: 0:00:48)
INFO test_engine.py: 330: im_detect: range [15001, 30000] of 30000: 29931/30000 0.613s + 0.001s (eta: 0:00:42)
INFO test_engine.py: 330: im_detect: range [15001, 30000] of 30000: 29941/30000 0.613s + 0.001s (eta: 0:00:36)
INFO test_engine.py: 330: im_detect: range [15001, 30000] of 30000: 29951/30000 0.613s + 0.001s (eta: 0:00:30)
INFO test_engine.py: 330: im_detect: range [15001, 30000] of 30000: 29961/30000 0.613s + 0.001s (eta: 0:00:23)
INFO test_engine.py: 330: im_detect: range [15001, 30000] of 30000: 29971/30000 0.613s + 0.001s (eta: 0:00:17)
INFO test_engine.py: 330: im_detect: range [15001, 30000] of 30000: 29981/30000 0.613s + 0.001s (eta: 0:00:11)
INFO test_engine.py: 330: im_detect: range [15001, 30000] of 30000: 29991/30000 0.613s + 0.001s (eta: 0:00:05)
/home/dd/software/anaconda3/envs/fsod/lib/python3.6/site-packages/torch/nn/functional.py:1006: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
Traceback (most recent call last):
File "/home/dd/wlh/FSOD-code/tools/test_net.py", line 131, in
Traceback (most recent call last):
File "tools/test_net.py", line 131, in

How to solve this problem? And I want to know how to show the picture after detection. I want to get the picture as that in your paper.
'all.sh' is 'CUDA_VISIBLE_DEVICES=0,1 python3 tools/test_net.py --multi-gpu-testing --dataset fsod --cfg configs/fsod/voc_e2e_faster_rcnn_R-50-C4_1x_old_1.yaml --load_ckpt Outputs/fsod36000/ckpt/model_step71999.pth '
I encountered the same problem as you, did you solve it?
@wlh156423 , did you solve this problem? I also encountered the same problem.
I also met this problem,maybe it's because the computer doesn't have enough memory. Then I changed the compute that has memory of 32G and worked well.
@liuweijie19980216 Could you share me the trained model? Thanks.