Update README.md

README.md

@@ -9,31 +9,6 @@ short_description: A unified API wrapping 50+ image matching models
 license: bsd
 ---
 
-# Welcome to [Image Matching Models (IMM)](https://github.com/alexstoken/image-matching-models)! 
-IMM is a unified interface that wraps 37+ image matching models, making it easy to apply the models to a downstream task or eval with minimal boilerplate. We provide a simple API for deploying keypoint, semi dense, and dense image matching models on image pairs. 
+# We have moved!
 
-
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/alexstoken/image-matching-models/blob/main/demo.ipynb)
-#### Install
-```
-pip install imm
-```
-
-#### Usage Example:
-```
-from imm import get_matcher
-from imm.viz import plot_matches
-
-device = 'cuda'  # 'cpu'
-matcher = get_matcher('my-fav-matcher', device=device)  # Choose any of our ~37+ matchers listed below
-img_size = 512  # optional
-
-img0 = matcher.load_image('imm/assets/example_pairs/outdoor/montmartre_close.jpg', resize=img_size)
-img1 = matcher.load_image('imm/assets/example_pairs/outdoor/montmartre_far.jpg', resize=img_size)
-
-result = matcher(img0, img1)
-# result.keys() = ['num_inliers', 'H', 'all_kpts0', 'all_kpts1', 'all_desc0', 'all_desc1', 'matched_kpts0', 'matched_kpts1', 'inlier_kpts0', 'inlier_kpts1']
-plot_matches(img0, img1, result, save_path='plot_matches.png')
-```
-
-See our [github repo](https://github.com/alexstoken/image-matching-models) for a full list of supported models and example scripts and notebooks.
+This organization has moved to [**vismatch**](https://huggingface.co/vismatch). This org will be deleted in a few weeks.