GNU/Linux st-256color bash 151 views

This is a demo of sds-mnise, which selects a random image from the MNIST test set and identifies its label by finding the label of the most similar image in the training set using SDS.

Steps are:

  1. clone the repo.
  2. cd into repo directory
  3. make a virtual environment called “virtualenv”
  4. activate the virtual environment
  5. install sds and numpy into the virtual environment
  6. “ls” the directory and run the script for downloading the datasets
  7. run “image_similarity” with no arguments, and see usage
  8. run the “image_similarity” example, the test image is shown and the predicted label.