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added dev installation doc
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README.md

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[![napari hub](https://img.shields.io/endpoint?url=https://api.napari-hub.org/shields/featureforest)](https://napari-hub.org/plugins/featureforest)
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<!--[![Downloads](https://pepy.tech/badge/featureforest)](https://pepy.tech/project/featureforest)-->
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**A napari plugin for making image annotation using feature space of vision transformers and random forest classifier.**
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**A napari plugin for making image annotation using feature space of vision transformers and random forest classifier.**
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We developed a *napari* plugin to train a *Random Forest* model using extracted features of vision foundation models and just a few scribble labels provided by the user as input. This approach can do the segmentation of desired objects almost as well as manual segmentations but in a much shorter time with less manual effort.
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conda env create -f ./env_cpu.yml
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```
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For developers that want to contribute to FeatureForest, you need to use this command to install the `dev` dependencies:
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```bash
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pip install -U "featureforest[dev]"
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```
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And make sure you have `pre-commit` installed in your environment, before committing changes:
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```bash
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pre-commit install
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```
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For more detailed installation guide, check out [here](https://juglab.github.io/featureforest/install/).
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