Comments (1)
你好,我们测试下来还是直接手工测量最精确。
from graspnet-baseline.
Related Issues (20)
- 关于graspnetAPI中定义的夹爪坐标系的一些疑问 HOT 1
- 算法预测出的抓取宽度如何应用到实体机器人中? HOT 4
- 关于demo.py中get_and_process_data()使用depth数据的问题 HOT 12
- 夹爪坐标系不同怎么处理呢? HOT 5
- demo invisible HOT 1
- I meet a question that the train process can only run when the num_workers of Dataloader is 0. The memory is 32G. Ubuntu20.04. Pytorch1.10. I have found that the memory usage is gradually increasing during loading grading labels, as well as loading data path and consolidation labels, due to insufficient memory, resulting in num_ Must workers be 0 to run? When this parameter is 0, the training is slow. I hope someone can help. HOT 2
- test出现的问题 HOT 3
- This result is fantastic! HOT 3
- Network Summary with Dict as input HOT 2
- A question about function `create_point_cloud_from_depth_image` HOT 1
- How to run this project? HOT 2
- 关于knn编译报错 HOT 3
- Question about grasping single thin object HOT 6
- Questions about the scene 6DOF pose annotation. HOT 2
- 关于标签问题
- Approach vector pointing out of the object HOT 1
- reported AP between paper and repo HOT 1
- obj ids in different split set HOT 2
- Supplementary materials.
- something wrong with "python test.py",how can i get the value of ap? HOT 1
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