Mismatch in the result (AP)
Hi,
I have a query on test_seen result. When I evaluate kinect checkpoint on test_seen dataset, I get much lesser AP compared to what's reported. Could you please let me know if I am executing it wrong?
Command: CUDA_VISIBLE_DEVICES=0 python test.py --camera kinect --dump_dir logs/logs_kn --checkpoint_path ckpts/minkuresunet_kinect.tar --batch_size 1 --dataset_root data --infer --eval --collision_thresh -1
Result:
Also, I was using the pretrained weights from this github (https://github.com/graspnet/graspness_unofficial). If these are not the correct ones, could you please share the correct files to mailid: [email protected].
Hi,
I have a query on test_seen result. When I evaluate kinect checkpoint on test_seen dataset, I get much lesser AP compared to what's reported. Could you please let me know if I am executing it wrong?
Command: CUDA_VISIBLE_DEVICES=0 python test.py --camera kinect --dump_dir logs/logs_kn --checkpoint_path ckpts/minkuresunet_kinect.tar --batch_size 1 --dataset_root data --infer --eval --collision_thresh -1
Result:
Also, I was using the pretrained weights from this github (https://github.com/graspnet/graspness_unofficial). If these are not the correct ones, could you please share the correct files to mailid: [email protected].
Hello, I have also encountered a similar situation. The accuracy is only a little over 10 points. Have you made any progress now. Have you trained the model yourself.
Hey, I tried with the checkpoint from this repo. (https://github.com/user432/gamma). And it gave me AP of close to 0.55 to 0.60.
