Koldim2001/YOLO-Patch-Based-Inference
Python library for YOLO small object detection and instance segmentation
- Stars
- 558
- Forks
- 31
- Open issues
- 1
- Last push
- 6mo ago
About YOLO-Patch-Based-Inference
YOLO-Patch-Based-Inference is a free, open-source computer vision tool by Koldim2001, written mainly in Python. Python library for YOLO small object detection and instance segmentation. It has 558 GitHub stars and 31 forks, and was last updated 6mo ago. It's released under the AGPL-3.0 license, a standard open-source license.
- License
- AGPL-3.0
- Language
- Python
- Stars
- 558
- Last update
- 6mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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YOLO-Patch-Based-Inference FAQ
Is YOLO-Patch-Based-Inference free?
Yes. YOLO-Patch-Based-Inference is open source and free to use. It's released under the AGPL-3.0 license, a standard open-source license.
Does YOLO-Patch-Based-Inference run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does YOLO-Patch-Based-Inference need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is YOLO-Patch-Based-Inference still maintained?
It was last updated 6mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to YOLO-Patch-Based-Inference?
Similar free, open-source tools include ultralytics, yolov5, supervision, yolov3.