@@ -75,6 +75,8 @@ The master branch works with **PyTorch 1.6+**.
...
@@ -75,6 +75,8 @@ The master branch works with **PyTorch 1.6+**.
- Refactored YOLOX for MMDet to provide faster training and inference
- Refactored YOLOX for MMDet to provide faster training and inference
- Detailed introductory and advanced tutorials are provided, see the [English tutorial](https://mmyolo.readthedocs.io/en/latest)
- Detailed introductory and advanced tutorials are provided, see the [English tutorial](https://mmyolo.readthedocs.io/en/latest)
For release history and update details, please refer to [changelog](https://mmyolo.readthedocs.io/en/latest/notes/changelog.html).
## Installation
## Installation
MMYOLO relies on PyTorch, MMCV, MMEngine, and MMDetection. Below are quick steps for installation. Please refer to the [Install Guide](docs/en/get_started.md) for more detailed instructions.
MMYOLO relies on PyTorch, MMCV, MMEngine, and MMDetection. Below are quick steps for installation. Please refer to the [Install Guide](docs/en/get_started.md) for more detailed instructions.
We have released MMYOLO open source library, which is based on MMEngine, MMCV 2.x and MMDetection 3.x libraries. At present, the object detection has been realized, and it will be expanded to multi-task in the future.
### Highlights
1. Support for YOLOv5/YOLOX training and deployment, support for YOLOv6 inference and deployment
2. Refactored YOLOX for MMDet to provide faster training and inference
3. Detailed introductory and advanced tutorials are provided, see the [English tutorial](https://mmyolo.readthedocs.io/en/latest)