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Brannigan123 committed Aug 30, 2020
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Expand Up @@ -10,13 +10,15 @@ Image embeddings are compared cosine similarity and hamming.
1. Run *[search.py](search.py)* with image path(s) as arguments and the script will display the top matches from underlying image library

**Sample**
<br>
<img src="single_img_search.png" width="600em" hspace=10 vspace=10/>

## Running search on a custom set of images
1. Transfer the images to queries folder *[data/queries/](data/queries)* or alternatively change `query_images_folder_path` from *[paths.py](paths.py)* to your location of your image set.
2. Run *[search.py](search.py)* and the script will display the top matches from underlying image library

**Sample**
<br>
<img src="img_search.png" width="600em" hspace=10 vspace=10/>


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