Not suitable libraries version of numpy
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Description
Search before asking
- I have searched the Roboflow Notebooks issues and found no similar bug report.
Notebook name
How to Train YOLOv8 Instance Segmentation on a Custom Dataset
Bug
It looks like the code failed due to a ValueError related to a change in the size of a NumPy data type. This often happens when there are incompatible versions of libraries like NumPy, PyTorch, and Ultralytics installed.
Environment
-Google Colab
-pip install ultralytics==8.2.103 -q
from IPython import display
display.clear_output()
prevent ultralytics from tracking your activity
!yolo settings sync=False
import ultralytics
ultralytics.checks()
Minimal Reproducible Example
No response
Additional
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
Open the “How to Train YOLOv8 Instance Segmentation on a Custom Dataset” notebook and reproduce the failure in Google Colab using the environment shown in the issue. Compare the installed NumPy, PyTorch, and Ultralytics-related versions around the reported ValueError; done means the notebook runs without that error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, numpy, python, pytorch
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100