How to use the data passed back from the model to highlight found objects.How to classify an image frame to find the bounding box(s) of any object(s) the model has been trained to recognize.How to grab data from a live webcam stream and draw it to canvas.How to load a pre-trained TensorFlow.js model.If you could do that you would be well on your way to making your own version of a Google Nest cam that could alert you when it sees an intruder (of any type) using your own custom hardware! Pretty neat. Imagine being able to detect if a person was in a video, so you could then count how many people were present at any given time to estimate how busy a certain area was over the day, or send yourself an alert when your dog was detected in a room of your house whilst you are away that maybe it should not be in. Highlight the found object in the video stream, as shown below:.Supercharge your regular webcam to identify objects and get the coordinates of the bounding box for each object it finds.Create a webpage that uses machine learning directly in the web browser via TensorFlow.js to classify and detect common objects, (yes, including more than one at a time), from a live webcam stream.This codelab was written for experienced engineers already familiar with JavaScript. If you work as an engineer or designer, front end or back end, and you're familiar with JavaScript, this codelab was written to help you get started adding Machine Learning to your skillset. It's applications appear to be without limit, and it seems poised to touch almost every industry in the near future. Machine Learning is quite the buzzword these days.
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