Comments (2)
👋 Hello @lolawang22, thank you for your interest in Ultralytics YOLOv8 🚀! We recommend a visit to the Docs for new users where you can find many Python and CLI usage examples and where many of the most common questions may already be answered.
If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it.
If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results.
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Install
Pip install the ultralytics
package including all requirements in a Python>=3.8 environment with PyTorch>=1.8.
pip install ultralytics
Environments
YOLOv8 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
- Notebooks with free GPU:
- Google Cloud Deep Learning VM. See GCP Quickstart Guide
- Amazon Deep Learning AMI. See AWS Quickstart Guide
- Docker Image. See Docker Quickstart Guide
Status
If this badge is green, all Ultralytics CI tests are currently passing. CI tests verify correct operation of all YOLOv8 Modes and Tasks on macOS, Windows, and Ubuntu every 24 hours and on every commit.
from ultralytics.
@lolawang22 hi there,
Thank you for reporting this issue. The ScannerError you're encountering typically indicates a problem with parsing a YAML file, which is often due to formatting issues.
To help us diagnose and resolve this issue more effectively, could you please provide a minimal reproducible example? This will allow us to replicate the problem on our end. You can find guidelines on how to create a minimal reproducible example here.
Additionally, please ensure that you are using the latest versions of all relevant packages, including ultralytics
, PyYAML
, and any other dependencies. Sometimes, updating to the latest version can resolve such issues.
Here's a quick checklist to help you troubleshoot:
- Check YAML Files: Ensure that all YAML files you are using are correctly formatted. YAML is sensitive to indentation and special characters.
- Update Packages: Run
pip install --upgrade ultralytics pyyaml
to make sure you have the latest versions. - Recreate Virtual Environment: Sometimes, issues can arise from the virtual environment itself. Consider recreating your virtual environment and reinstalling the packages.
If the issue persists after these steps, please share the specific YAML file or the relevant portion of it that might be causing the error. This will help us pinpoint the problem more accurately.
Thank you for your cooperation, and we look forward to resolving this issue for you! 😊
from ultralytics.
Related Issues (20)
- Libraries misalignment in ultralytics and super_gradients required for model YOLO-NAS HOT 7
- YOLOv9 HOT 1
- training parameters HOT 2
- How to use YOLOv8 model trained on my custom dataset? HOT 4
- Validity of Results When Using Different YOLO Model Versions (YOLOv8 and YOLOv10) with YOLOv5-Formatted Dataset HOT 2
- How to package the train of yolov8 to an exe? HOT 1
- yolov10-nmsfree out of memory HOT 2
- During inference, conf too low produces nan in boxes HOT 2
- How to package the train of yolov8 to an exe? HOT 3
- YoloV8-OBB Onnx-Simplifier Error HOT 9
- Getting Accuracy from validation results for CLASSIFICATION HOT 1
- YOLOv8 - Unexpected Behavior When Training with Custom Dataset HOT 6
- A question about Face antispoofing with Yolo HOT 2
- how to use yolov8 metric HOT 1
- OpenVINO model is dynamic even it was converted with dynamic=False HOT 2
- NOT WORK for "label_smoothing" parameter HOT 2
- Is there possibility to train YOLO model over multiple datasets? HOT 3
- Is there possibility to integrate custom augmentations into training pipeline? HOT 1
- Generate Confusion matrix from a list of ground truth labels and predicted labels in yolo format HOT 2
- YOLO dissection HOT 4
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from ultralytics.