Hour of Code with p5.js and PoseNet

TL;DR

Learn how to use p5.js and ml5.js to create interactive face masks that track facial features in real-time.

Transcript

hello there morning welcome to coding trained hour of code special today's gonna be a little bit different I have a feeling that I just livestream myself saying test test by the way if that's the case please let me know but I'm gonna do things a little differently today in the sense that I don't expect that this is a kind of free this is less of a ... Read More

Key Insights

• 👨‍💻 The Hour of Code initiative aims to promote computer science education through tutorials and coding activities.
• 🤩 PoseNet is a machine learning model used for real-time human pose estimation, which can track key points on the body.
• 😷 Creating interactive face masks using p5.js and ml5.js allows for a fun and creative way to experiment with coding and computer vision.
• 🚂 Training your own PoseNet model requires a substantial dataset and can be a complex process.

Questions & Answers

Q: What is PoseNet and how does it work?

PoseNet is a machine learning model that is used for real-time human pose estimation. It can detect key points on the body, such as the nose, eyes, and shoulders, based on a given image or video.

Q: Can PoseNet detect multiple poses at the same time?

Yes, PoseNet has the capability to detect multiple poses in the same image or video. Each pose consists of a set of key points and their corresponding confidence values.

Q: Can I train my own model with PoseNet?

While it is possible to train your own model with PoseNet, it requires a large dataset of annotated images with corresponding pose information. This process can be complex and time-consuming.

Q: How can I add additional functionality to my face mask?

You can use the p5.js and ml5.js libraries to add various features like glasses, beards, or other accessories to your face mask. The possibilities are endless, and you can get creative with your designs.

Summary & Key Takeaways

• Dan from the Coding Train livestreams an Hour of Code session where he demonstrates how to create interactive face masks using p5.js and ml5.js.

• He begins by explaining the Hour of Code initiative and suggests various tutorials for beginners.

• Dan then dives into the topic of creating a face mask, using the PoseNet machine learning model to track facial features such as the nose and eyes.