This repository is a fork of the original PixPlot created by the Yale DH lab. In our version, cluster visualisation via different colors is added. In order to use this, create the plot_data.json as usual and then add group information to each image and a global group_count. Afterwards, the json should look like that:
This repository is a fork of the original PixPlot created by the Yale DH lab. In our version, cluster visualisation via different colors is added as well as a preview function which shows the orginal image after clicking on a thumbnail in the 3D window. In order to use this, create the plot_data.json as usual (instructions below) and then add group information to each image and a global group_count. Afterwards, the json should look like that:
<pre>
{"atlas_counts": {"64px": 15.0, "32px": 4.0},
@@ -13,6 +13,10 @@ This repository is a fork of the original PixPlot created by the Yale DH lab. In
}
</pre>
For the preview function, either create a subdirectory called **full** in your PixPlot directory and copy the original images to this new folder, or create a symlink pointing to the original image directory:
ln -s /path/to/images/ full
- - - -
This repository 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.
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