The pre-build mmcv-full (with PyTorch 1.5 and CUDA 10.1) can be installed by running: (other available versions could be found [here](https://mmcv.readthedocs.io/en/latest/#install-with-pip))
1. The git commit id will be written to the version number with step *e*, e.g. 0.5.0+c415a2e. The version will also be saved in trained models.
It is recommended that you run step *e* each time you pull some updates from github. If C++/CUDA codes are modified, then this step is compulsory.
2. Following the above instructions, mmsegmentation is installed on `dev` mode, any local modifications made to the code will take effect without the need to reinstall it (unless you submit some commits and want to update the version number).
3. If you would like to use `opencv-python-headless` instead of `opencv-python`,
you can install it before installing MMCV.
4. Some dependencies are optional. Simply running `pip install -e .` will only install the minimum runtime requirements.
To use optional dependencies like `cityscapessripts` either install them manually with `pip install -r requirements/optional.txt` or specify desired extras when calling `pip` (e.g. `pip install -e .[optional]`). Valid keys for the extras field are: `all`, `tests`, `build`, and `optional`.
### A from-scratch setup script
Here is a full script for setting up mmsegmentation with conda and link the dataset path (supposing that your dataset path is $DATA_ROOT).
