I've noticed that most samples out there for image classification with TensorFlow.js use an existing model that has wrappers that make it easy to pass an image to them to see the classification for that image. One thing missing is an easy way to see how to get a custom image passed to a custom classifier to get the results. I.E. How do I format the input to a model?
So, I'm taking a Cats vs Dogs model, trained with the notebook here, and I've converted it to TensorFlow.js using the tensorflowjs libraries in Python.
Three Awesome TensorFlow.js Models for Visual Recognition
Last week, I open sourced a web application called Blue Cloud Mirror, which is a game where players need to show five specific emotions and do five specific poses in two levels. The faster, the better.
You can play the game online; it only takes a minute. All you need is a webcam and a Chrome browser.