open-mmlab/mmengine
OpenMMLab Foundational Library for Training Deep Learning Models
- Stars
- 1.5k
- Forks
- 464
- Open issues
- 177
- Last push
- 3mo ago
About mmengine
mmengine is a free, open-source computer vision tool by open-mmlab, written mainly in Python. OpenMMLab Foundational Library for Training Deep Learning Models. It has 1.5k GitHub stars and 464 forks, and was last updated 3mo ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Python
- Stars
- 1,504
- Last update
- 3mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
Similar free tools
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!!
learnopencv23k stars · Learn OpenCV : C++ and Python Examples
ultralytics63k stars · Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
pytorch-grad-cam13k stars · Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
yolov558k stars · Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
mmengine FAQ
Is mmengine free?
Yes. mmengine is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does mmengine run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does mmengine need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is mmengine still maintained?
It was last updated 3mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to mmengine?
Similar free, open-source tools include supervision, deep-learning-drizzle, learnopencv, ultralytics.