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img-embedding

  1. Loads random 1000 images from a folder,
  2. Creates embedding by using a pre-trained vgg11_bn model,
  3. Lowers dimensionality using t-SNE to two dimensions,
  4. Plots the images interactively, one can browse and zoom.

output

Run

  1. Add images to imgs folder
  2. python main.py

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