Incompatibility of Kaggle Notebooks for Segment Anything V2
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Description
Search before asking
- I have searched the Roboflow Notebooks issues and found no similar bug report.
Notebook name
Segment Anything V2 on Custom Data
Bug
[rank0]: Traceback (most recent call last):
[rank0]: File "/usr/local/lib/python3.10/dist-packages/hydra/_internal/instantiate/_instantiate2.py", line 92, in _call_target
[rank0]: return target(*args, **kwargs)
[rank0]: File "/kaggle/working/content/sam2/training/dataset/vos_raw_dataset.py", line 170, in init
[rank0]: subset = os.listdir(self.img_folder)
[rank0]: FileNotFoundError: [Errno 2] No such file or directory: '/content/data/train'
The code in train is hardcoded for content data train, despite renaming the files, the issue still persists.
Environment
- Kaggle
- Ubuntu
- Python 3.11
Minimal Reproducible Example
No response
Additional
No response
Are you willing to submit a PR?
- Yes I'd like to help by submitting a PR!
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the “Segment Anything V2 on Custom Data” notebook and trace its training setup against the traceback in sam2/training/dataset/vos_raw_dataset.py. Run the notebook on Kaggle, identify where /content/data/train is selected, and verify that training uses the configured dataset path without the FileNotFoundError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python, pytorch
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100