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@ -16,6 +16,15 @@ MIM provides a unified API for launching and installing OpenMMLab projects and t
You can call training scripts, testing scripts and any other scripts under the `tools` directory of a specific codebase conveniently at anywhere. Besides, you can use `gridsearch` command for vanilla hyper-parameter search. Calling scripts via MIM is more flexible and efficient (The command will be much shorter, check [abbreviation.md](docs/abbreviation.md)).
## Build custom projects with MIM
We provide some examples about how to build custom projects based on OpenMMLAB codebases and MIM in [MIM-Example](https://github.com/open-mmlab/mim-example). In [mmcls_custom_backbone](https://github.com/open-mmlab/mim-example/tree/master/mmcls_custom_backbone), we define a custom backbone and a classification config file that uses the backbone. To train this model, you can use the command:
```python
# The working directory is `mim-example/mmcls_custom_backbone`
PYTHONPATH=$PWD:$PYTHONPATH mim train mmcls custom_net_config.py --work-dir tmp --gpus 1
```
## Installation
Please refer to [installation.md](docs/installation.md) for installation.
@ -399,16 +408,6 @@ Please refer to [installation.md](docs/installation.md) for installation.
</details>
## Build custom projects with MIM
We provide some examples about how to build custom projects based on OpenMMLAB codebases and MIM in [MIM-Example](https://github.com/open-mmlab/mim-example). In [mmcls_custom_backbone](https://github.com/open-mmlab/mim-example/tree/master/mmcls_custom_backbone), we define a custom backbone and a classification config file that uses the backbone. To train this model, you can use the command:
```python
# The working directory is `mim-example/mmcls_custom_backbone`
PYTHONPATH=$PWD:$PYTHONPATH mim train mmcls custom_net_config.py --work-dir tmp --gpus 1
```
## Contributing
We appreciate all contributions to improve mim. Please refer to [CONTRIBUTING.md](https://github.com/open-mmlab/mmcv/blob/master/CONTRIBUTING.md) for the contributing guideline.