stereolabs/zed-sdk
⚡️The spatial perception framework for rapidly building smart robots and spaces
- Stars
- 1.2k
- Forks
- 508
- Open issues
- 4
- Last push
- 1d ago
About zed-sdk
zed-sdk is a free, open-source computer vision tool by stereolabs, written mainly in C++. ⚡️The spatial perception framework for rapidly building smart robots and spaces. It has 1.2k GitHub stars and 508 forks, and was last updated 1d ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- C++
- Stars
- 1,243
- Last update
- 1d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
Similar free tools
ultralytics63k stars · Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
supervision51k stars · We write your reusable computer vision tools. 💜
deep-learning-drizzle13k stars · Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
X-AnyLabeling11k stars · X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with stat
autogluon11k stars · Fast and Accurate ML in 3 Lines of Code
yolov558k stars · Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
zed-sdk FAQ
Is zed-sdk free?
Yes. zed-sdk is open source and free to use. It's released under the MIT license, a standard open-source license.
Does zed-sdk run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does zed-sdk need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is zed-sdk still maintained?
Yes. It was last updated 1d ago and has 4 open issues on GitHub.
What are alternatives to zed-sdk?
Similar free, open-source tools include ultralytics, supervision, deep-learning-drizzle, X-AnyLabeling.