Compatible MMEngine, MMCV and MMDetection versions are shown as below. Please install the correct version to avoid installation issues.
| MMYOLO version | MMDetection version | MMEngine version | MMCV version |
|---|---|---|---|
| main | mmdet>=3.0.0rc6, <3.1.0 | mmengine>=0.6.0, <1.0.0 | mmcv>=2.0.0rc4, <2.1.0 |
| 0.5.0 | mmdet>=3.0.0rc6, <3.1.0 | mmengine>=0.6.0, <1.0.0 | mmcv>=2.0.0rc4, <2.1.0 |
| 0.4.0 | mmdet>=3.0.0rc5, <3.1.0 | mmengine>=0.3.1, <1.0.0 | mmcv>=2.0.0rc0, <2.1.0 |
| 0.3.0 | mmdet>=3.0.0rc5, <3.1.0 | mmengine>=0.3.1, <1.0.0 | mmcv>=2.0.0rc0, <2.1.0 |
| 0.2.0 | mmdet>=3.0.0rc3, <3.1.0 | mmengine>=0.3.1, <1.0.0 | mmcv>=2.0.0rc0, <2.1.0 |
| 0.1.3 | mmdet>=3.0.0rc3, <3.1.0 | mmengine>=0.3.1, <1.0.0 | mmcv>=2.0.0rc0, <2.1.0 |
| 0.1.2 | mmdet>=3.0.0rc2, <3.1.0 | mmengine>=0.3.0, <1.0.0 | mmcv>=2.0.0rc0, <2.1.0 |
| 0.1.1 | mmdet==3.0.0rc1 | mmengine>=0.1.0, <0.2.0 | mmcv>=2.0.0rc0, <2.1.0 |
| 0.1.0 | mmdet==3.0.0rc0 | mmengine>=0.1.0, <0.2.0 | mmcv>=2.0.0rc0, <2.1.0 |
In this section, we demonstrate how to prepare an environment with PyTorch.
MMDetection works on Linux, Windows, and macOS. It requires:
- Python 3.7+
- PyTorch 1.7+
- CUDA 9.2+
- GCC 5.4+
If you are experienced with PyTorch and have already installed it, just skip this part and jump to the [next section](#installation). Otherwise, you can follow these steps for the preparation.
Step 0. Download and install Miniconda from the official website.
Step 1. Create a conda environment and activate it.
conda create --name openmmlab python=3.8 -y
conda activate openmmlabStep 2. Install PyTorch following official commands, e.g.
On GPU platforms:
conda install pytorch torchvision -c pytorchOn CPU platforms:
conda install pytorch torchvision cpuonly -c pytorchStep 3. Verify PyTorch installation
python -c "import torch; print(torch.__version__); print(torch.cuda.is_available())"If the GPU is used, the version information and True are printed; otherwise, the version information and False are printed.