PierreMarieCurie/rf-detr-onnx
ONNX model with inference, conversion and visualization scripts for RF-DETR (object detection and instance segmentation)
- Stars
- 103
- Forks
- 17
- Open issues
- 3
- Last push
- 8mo ago
rf-detr-onnx star history
+0 this week
About rf-detr-onnx
rf-detr-onnx is a free, open-source computer vision tool by PierreMarieCurie, written mainly in Python. ONNX model with inference, conversion and visualization scripts for RF-DETR (object detection and instance segmentation). It has 103 GitHub stars and 17 forks, and was last updated 8mo ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 103
- Last update
- 8mo ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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rf-detr-onnx FAQ
Can I use rf-detr-onnx commercially?
Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is rf-detr-onnx free?
Yes. rf-detr-onnx is open source and free to use. It's released under the MIT license, a standard open-source license.
Does rf-detr-onnx run on a Mac?
Yes. According to the project, rf-detr-onnx works on macOS.
Does rf-detr-onnx need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is rf-detr-onnx still maintained?
It was last updated 8mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to rf-detr-onnx?
Similar free, open-source tools include ultralytics, yolov5, supervision, rf-detr.
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