This contains code that can be used to visualize tens of thousands of images in a two-dimensional projection within which similar images are clustered together. The image analysis uses Tensorflow's Inception bindings, and the visualization layer uses a custom WebGL viewer.
When first running fresh, preprocessing is required. The images and required thumbnails, vector and map data can be processed by running:
python run.py "memes/*.jpg"
Or a similar 3rd path argument
Image resizing utilities require ImageMagick compiled with jpg support. For Windows search for ImageMagick and download/install using the .exe
The html viewer requires a WebGL-enabled browser. If you have a WebGL-enabled browser and a directory full of images to process, you can prepare the data for the viewer by installing the dependencies
For python 3.x, open the prompt from the project dir and run:
python -m http.server 5000
Once the web server starts, you should be able to see your results on localhost:5000.
Also make sure that there is a folder named exactly "output", in the root folder before starting.