Comments (3)
👋 Hello @807xuan, 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.
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I have found the cause of the problem. The reason is: the versions of ultralytics and yolov8 do not match. My yolov8 is version 8.1 and ultralytics is version 8.2. I downgraded ultralytics to 8.1. After training again, I got best.pt and no error was reported after running the test case.
from ultralytics.
@807xuan great job pinpointing the version mismatch issue! Matching the versions of YOLOv8 and the Ultralytics library often resolves such errors. If you have any more questions or face further issues, feel free to reach out. Happy coding! 😊
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Related Issues (20)
- Better evaluation results show. HOT 5
- problem in predict yolov8 HOT 2
- yolo8-n FPS difference yaml vs .pt HOT 3
- postprocess is very slow HOT 2
- A generalized YOLOv8 model with DET, OBB, SEG and POSE tasks. HOT 2
- Number of model parameters and FLOPs based on Ultralytics HOT 1
- Prediction on SAM Model doesn't support specifying classes to predict HOT 3
- LetterBox Bug(ultralytics/data/augment.py) HOT 2
- Yolo-Segmentation doesn't work with different Backgrounds HOT 2
- 오류 ㅠㅠ HOT 2
- Excuse me, I trained a 5-class detection model with RT-DETR, but reported exceeding the category during inference. How can this error be resolved HOT 4
- Yolov8 in Unity HOT 3
- Confusion Matrix gets me confused HOT 2
- The Batch Normalization layer is not shown in tensorboard HOT 6
- error when i try to run train yolov8 with GPU 1650 HOT 3
- yolov9 export paddle error HOT 4
- Loading engine file on GPU whenever call predict method on a frame of CSI camera even stream=True HOT 4
- UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED HOT 9
- Yaml file problem HOT 1
- Implementing a simple ReID process HOT 1
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