You may see some warnings when you run the session line in the code below. If you’ve never used TensorFlow before, it’s a good idea to verify that it works. $ mkvirtualenv -system-site-packages imagesearch I’m using Python 2.7 and TensorFlow installed with virtualenvwrapper. The first thing to do is setup the environment.

In this first post, I’m going to go over my environment and project setup and do a little bit of scaffolding. For this demo, the work is ⅓ data munging/setup, ⅓ model development and ⅓ app development.Īt a high-level, I use TensorFlow to create an autoencoder, train it on a bunch of images, use the trained model to find related images, and display them with a Flask app. While it’s fresh in my head, I wanted to write up an end-to-end description of what it’s like to build a machine learning app, and more specifically, how to make your own reverse image search. I’ve been making some TensorFlow examples for my website,, and one of the ones I created was a lightweight reverse image search.

Reverseimage