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Fang-Haoshu
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graspnetAPI
API for large scale benchmark of robotic grasping: GraspNet-1Billion: https://graspnet.net
https://graspnet.net
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Bump pillow from 7.2.0 to 10.0.1
#17
dependabot[bot]
opened
1 year ago
0
Bump pillow from 7.2.0 to 9.3.0
#16
dependabot[bot]
closed
1 year ago
1
改变图像的像素值
#15
meiguiz
closed
2 years ago
3
Bump pillow from 7.2.0 to 9.0.1
#14
dependabot[bot]
closed
1 year ago
1
Bump pillow from 7.2.0 to 9.0.0
#13
dependabot[bot]
closed
2 years ago
1
Bump pillow from 7.2.0 to 8.3.2
#12
dependabot[bot]
closed
2 years ago
2
Bump pillow from 7.2.0 to 8.2.0
#11
dependabot[bot]
closed
3 years ago
1
Bump pillow from 7.2.0 to 8.1.1
#10
dependabot[bot]
closed
2 years ago
1
End-to-end newtwork prediction parameters
#9
ideas-man
opened
3 years ago
2
end-to-end grasp pose prediction network
#8
hoangcuongbk80
closed
4 years ago
2
Some confusion about GraspNet dataset.
#7
LCJHust
closed
4 years ago
2
Contact points to score
#6
ideas-man
closed
4 years ago
1
question about the collision check
#5
rcao-hk
closed
4 years ago
4
训练时如何获取每张图像的grasp标签
#4
yimingli1998
opened
4 years ago
5
Eval example, dump_folder param
#3
ideas-man
closed
4 years ago
0
Convert graspnet data into point cloud
#2
PatrickFeng
closed
4 years ago
1
/usr/bin/python3.6 /home/omnisky/graspnetAPI/examples/exam_loadGrasp.py Loading data path...: 100%|██████████| 100/100 [00:00<00:00, 412.06it/s] Traceback (most recent call last): File "/home/omnisky/graspnetAPI/examples/exam_loadGrasp.py", line 15, in <module> g = GraspNet(graspnet_root, camera='kinect', split='train') File "/home/omnisky/graspnetAPI/graspnetAPI/graspnet.py", line 103, in __init__ self.objIds = self.getObjIds(self.sceneIds) File "/home/omnisky/graspnetAPI/graspnetAPI/graspnet.py", line 148, in getObjIds f = open(os.path.join(self.root, 'scenes', 'scene_' + str(i).zfill(4), 'object_id_list.txt')) FileNotFoundError: [Errno 2] No such file or directory: '/DATA1/Benchmark/graspnet/scenes/scene_0000/object_id_list.txt' Process finished with exit code 1
#1
yhb130353985
closed
4 years ago
5