Comments (2)
π Hello @LizardKing2212, thank you for your interest in Ultralytics YOLOv8 π! 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 π Bug Report, please provide a minimum reproducible example to help us debug it.
If this is a custom training β 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.
Join the vibrant Ultralytics Discord π§ community for real-time conversations and collaborations. This platform offers a perfect space to inquire, showcase your work, and connect with fellow Ultralytics users.
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.
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Hello! It seems like you're encountering a security-related error due to how the application's permissions are set. Here's a quick suggestion you can try to resolve it:
If you're comfortable with using the terminal, you can remove the setuid bit from the binary that's causing the error. You can do this by running the following command:
sudo chmod -s /path/to/your/binary
Make sure to replace /path/to/your/binary
with the actual path to the Ultralytics executable that's causing the issue. This should help remove the setuid bit, thus addressing the security warning.
If the problem persists, reviewing the permission settings of your environment or considering a fresh setup/installation might also be beneficial. Keep us posted on how it goes! π
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Related Issues (20)
- YOLOv8 oriented bounding box losses HOT 3
- can algorism only do localization not classification? HOT 3
- Start multiple models at the same time
- Tensorrt c++ inference HOT 1
- yolov8 detection on small objects HOT 5
- Model load results in 'indexerror : list out of range ' HOT 8
- How to run YOLOv8 .engine but only need to obtain the output of the model in Jetson Xavier NX? HOT 2
- Why is yolov5n better than yolov8n in my own dataset (e.g., P, R, MAP50, etc.)οΌeven in coco128 HOT 2
- About loading model weights HOT 4
- I'm also having the same problem, I use botsort to track the target to detect the target but can't, the confidence level is also very high, the threshold setting should be fine. How to solve it, I thought it was a confidence threshold, but I can't debug it HOT 2
- yolov8 keypoint detection results HOT 2
- can anyone guide to do quantization for custom trained yolov8 HOT 2
- Implement Resnet Backbone into YOLOv3 and YOLOv5 HOT 3
- Is there any implementation of yolov8 in cpp using tensorflow lite? HOT 3
- Angle representation method of YOLOV8-obb HOT 1
- Ultralytics not working on Jetpack 6.0? HOT 1
- The YOLOv8 segmentation model with batching option doesn't run on the GPU ? HOT 1
- yolov8n's coco pre-training? HOT 2
- Can not extract predicted classes from the results as a variable. HOT 2
- Changing the Yolov8-OBB head to output Polygonal Bounding Box with Four Corners instead of Oriented Bounding Box HOT 2
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