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I was using default parameters to test the model on 7.npy, and the resulting grasps are sparse as shown in the image below. May I ask if I was doing anything wrong?
Here is the command I used: python contact_graspnet/inference.py --np_path=test_data/7.npy --local_regions --filter_grasps
Apparently, users of newer GPUs require tensorflow-gpu=2.5 with CUDA >= 11 to run this code. Recompile the tf_ops if you use a newer version. Does this help?
Hi,
I was using default parameters to test the model on 7.npy, and the resulting grasps are sparse as shown in the image below. May I ask if I was doing anything wrong?
Here is the command I used: python contact_graspnet/inference.py --np_path=test_data/7.npy --local_regions --filter_grasps
Checkpoint: checkpoints/scene_test_2048_bs3_hor_sigma_001
Thank you!
![grasp](https://user-images.githubusercontent.com/43657501/148443274-9796b842-ed98-411a-9bce-87e7569dd3a4.JPG)
@MartinSmeyer
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