Discover and explore similar images using the power of OpenAI CLIP with CLIP-Search. This demo project leverages the capabilities of OpenAI CLIP to provide a seamless and intuitive image search experience.
Getting started with CLIP-Search is easy. Simply follow these steps to install:
git clone --recursive https://github.com/brunodoamaral/clip-search.git
cd clip-search
python3 -m venv clip-env
clip-env/bin/pip3 install -r requirements.txt
clip-env/bin/python3 app.py /path/to/my/picturesHowever, we strongly recommend installing with conda for a smoother experience:
git clone --recursive https://github.com/brunodoamaral/clip-search.git
cd clip-search
conda env create -n clip-env -f environment.yml
conda activate clip-env
python app.py /path/to/my/picturesOnce installed, simply open your browser and navigate to: http://localhost:5000/index.html
CLIP-Search allows you to search for similar images using text queries or by dragging and dropping one or more pictures into the search input. The tool intelligently "averages" the semantic features of the images to provide accurate and relevant search results.
Refine your search with the "More Like This" and "Less Like This" buttons. These buttons provide hints to the search algorithm about the type of images you are looking for. When you click on any of these buttons, the corresponding image will be hidden from the search results, allowing you to curate and fine-tune your image search experience.