UltralyticsAssistant
commented
20 hours ago 👋 Hello @HalilHuseyinCaliskan, thank you for reaching out to Ultralytics 🚀! This is an automated response to assist you while an Ultralytics engineer reviews your question.
For guidance on using YOLOv8 for classification, I recommend checking out our Docs, which include useful resources and examples for Python and CLI.
Regarding your query about running YOLOv8 classification on the Rockchip 3588, you're welcome to share a more detailed account of what you've attempted, alongside any error messages you’ve encountered. This additional context can boost the efficiency of our debugging efforts. If you have not done so, a minimum reproducible example could greatly help us understand your issue better. 🐛
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Upgrade
Before proceeding, ensure you're on the latest ultralytics package version, with all requirements installed in a Python>=3.8 environment with PyTorch>=1.8:
pip install -U ultralyticsEnvironments
YOLO models can be run in the following verified environments. Make sure your setup is compatible:
- Notebooks with free GPU access:
- Google Cloud Deep Learning VM: GCP Quickstart Guide
- Amazon Deep Learning AMI: AWS Quickstart Guide
- Docker Image: Docker Quickstart Guide
Status
The status badge above reflects the current state of our integrations and testing workflows, ensuring all YOLO Modes and Tasks are functioning correctly.
Stay tuned for a personal response from a member of our team. Thank you for your patience and participation in the Ultralytics community! 🍀
glenn-jocher
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Question
Hello, can I perform image classification with YOLOv8's classification method on Rockchip? If I can classify an image using YOLOv8 on the Rockchip 3588, how can I do that? I couldn't find any example code anywhere.Thank you.
Additional
No response