Comments (2)
👋 Hello @kan12341234, 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.
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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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@kan12341234 안녕하세요! 오류로 인해 어려움을 겪고 계신 것 같아 걱정이 되네요. 😟
제시된 에러 메시지를 살펴보니, AttributeError: 'NoneType' object has no attribute 'is_xl'
부분에서 문제가 발생하는 것 같습니다. 여기서 NoneType
오류는 대상 객체가 None
일 때 발생하는데, 이는 motion_module
또는 sd_model
중 하나가 제대로 초기화되지 않았을 가능성이 있습니다.
처음으로 해볼 수 있는 몇 가지 사항은 다음과 같습니다:
- 모든 관련 객체가 올바르게 초기화되었는지 확인해보세요.
- CUDA 관련 에러를 해결하기 위해, 실행 환경에
CUDA_LAUNCH_BLOCKING=1
환경 변수를 설정하여 더 자세한 에러 로그를 얻을 수 있도록 해보세요.
또한, CUDA 관련 이슈로 보이는데, GPU와 관련된 설정(예: driver, CUDA 버전)이 적절히 설정되어 있는지도 점검해 보시기 바랍니다.
아래는 환경 변수 설정 방법 예시입니다:
export CUDA_LAUNCH_BLOCKING=1
python your_script.py
이러한 단계로도 문제가 해결되지 않는다면, 좀 더 자세한 상황을 알려주시면 추가적인 조언을 드리겠습니다!
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Related Issues (20)
- Trouble detecting multiple classes in same frame HOT 2
- Overfitting HOT 1
- Having question for the label showed by "Plotting label" in the beginning of training. HOT 6
- Adding epochs after training is done HOT 5
- How many classes are used to train "yolov8n-oiv7.pt" model HOT 2
- Thanks for your work,excellent! some question about yolo-world finetune freeze and prompt. HOT 3
- YoloV8 with TensorRT Jetpack 6: dependencies? HOT 4
- Questions about domain adaptation for YOLOv8 HOT 3
- (YOLOv8的anchor机制,可以根据训练样本自动调整anchor吗?anchor是聚类生成,不是设定的吧?)Can the yolov8 training process automatically adjust the anchor size according to the anchor of the training set? Since my detection targets are all small targets, it should be better to adjust anchor HOT 4
- ultralytics 8.2.26 export to openvino int8 quantization, performance drop significantly HOT 12
- Why pad 0.5 here? HOT 2
- GPU_mem not correlated with task manager GPU memory usage HOT 3
- Using BayesOpt as Search Algorithm in Yolov8 Segmentation HOT 13
- YOLOV8 CBAM adding issuse HOT 12
- v8Detection loss backward HOT 3
- how to change a label's name? HOT 8
- Enforce tests install for `thop` package
- about physical memory and virtual memory HOT 3
- models/yolov9/ HOT 8
- ImportError: cannot import name 'YOLOv10' from 'ultralytics IDE: VisualStudio HOT 7
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