Comments (4)
I figured out that I just wasn't writing the path correctly. I just copied the absolute path from properties. Also in case anyone is having issues with finding the Cornell data-set because the link on GitHub repo no longer works you can find it here: https://www.kaggle.com/oneoneliu/cornell-grasp
from robotic-grasping.
當我運行命令時: python -m utils.dataset_processing.generate_cornell_depth /Cornel_Grasping_dataset/archive
這是我得到的:
(venv) nicholasward2@nicholasward2-Alienware-Aurora-R7:~/robotic-grasping$ python -m utils.dataset_processing.generate_cornell_depth /Cornel_Grasping_dataset/archive
Matplotlib 正在構建字體緩存;這可能需要一點時間。然後就立即停止運行。有沒有人對如何解決問題有任何建議?
Can I ask you for the complete usage method? For example, enter python -m utils.dataset_processing.generate_cornell_depth "path" in the robotic-grasping-master folder in "cmd"? Thank you
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@silver60229
So I extracted the Cornell data set into a folder called Cornell_Grasping_dataset that is located in the main robotic-grasping folder.
Then the whole command in terminal looked as such:
cd robotic-grasping
Then:
python -m utils.dataset_processing.generate_cornell_depth /home/nicholasward2/robotic-grasping/Cornell_Grasping_dataset/archive
I just made sure that I used an absolute path to my data set and it worked.
Hopefully this answers your question.
from robotic-grasping.
copy ./utils/dataset_processing/generate_cornell_depth.py ./
modify generate_cornell_depth.py:
pcds = glob.glob(os.path.join(args.path, '', 'pcd[0-9].txt')) => pcds = glob.glob(os.path.join(args.path, 'pcd*[0-9].txt'))
other way: recursive search all subdir
pcds = glob.glob(os.path.join(args.path, '**', 'pcd*[0-9].txt'), recursive=True)
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