Introduction to TensorFlow

When I need to research a new framework or technique, I find it very helpful to create a small application for it so that I can test it in complete isolation. We’re going to apply the same approach with TensorFlow. The original idea is that we create an app using the object recognition library (https://github.com/tensorflow/tfjs-models/tree/master/coco-ssd) and apply the model to images from the camera on our device.

Setting up the project

Let’s use a familiar framework to quickly build some boilerplate for our new project. We’ll use the Vuetify CLI to create a new project for us:

1. Run npm create vuetify@3.0.0 in the command-line interface.
2. Choose vue-tensorflow as the project’s name.
3. Use the Essentials (Vuetify, VueRouter, Pinia) installation.
4. Select TypeScript using the arrow keys.
5. Select npm to install the dependencies.

If you navigate to the new project folder, you can run the local development...