t-SNE-image-grid

An openframeworks project that creates a grid of images from a t-SNE projection of ImageNet descriptors of those images.

Run ./setup.sh to download the pretrained ImageNet classifier used to generate the descriptiors.

Reads settings from the data/settings.json file:

{"image_sets" :
    [
        {"directory":"cool_pics/"},
        {"directory": "nice_pics/"}
    ],
 "n_images" : 20, 
 "draw_tsne": false,
 "dims": 2,
 "perplexity": 35,
 "theta": 0.5,
 "normalize": true}

image_sets is a list of directories relative to the settings.json file that contain the images you want to cluster (sub-directories within these are scanned too).

n_images specifices how many images to pick from each image set.

draw_tsne specifies whether to draw the in-progress t-sne to the screen (set to true if you love hypercubes)

Saves a JSON file containing the descriptors in <image_set_directory>/features_4096.json.

I highly reccomend that you run from the console to see logging output (cd tSNE_images_gridDebug.app/Contents/MacOS/, ./tSNE_images_gridDebug)

Uses:

• ofxCcv
• ofxTSNE
• ofxAssignment
• ofxJSON