Now that it is getting relatively easy to setup video calls (most of the time), we can move on to doing fun things with the video stream. With new advancements in Machine Learning (ML) and a growing number of API’s and libraries out there, computer vision is also getting easier to do. Google’s ML Kit is […]
Guide
Part 2: Building a AIY Vision Kit Web Server with UV4L
In part 1 of this set, I showed how one can use UV4L with the AIY Vision Kit send the camera stream and any of the default annotations to any point on the Web with WebRTC. In this post I will build on this by showing how to send image inference data over a WebRTC […]
AIY Vision Kit Part 1: TensorFlow Computer Vision on a Raspberry Pi Zero
A couple years ago I did a TADHack where I envisioned a cheap, low-powered camera that could run complex computer vision and stream remotely when needed. After considering what it would take to build something like this myself, I waited patiently for this tech to come. Today with Google’s new AIY Vision kit, we are […]
Computer Vision on the Web with WebRTC and TensorFlow
TensorFlow is one of the most popular Machine Learning frameworks out there – probably THE most popular one. One of the great things about TensorFlow is that many libraries are actively maintained and updated. One of my favorites is the TensorFlow Object Detection API. The Tensorflow Object Detection API classifies and provides the location of multiple […]
How to capture & replay WebRTC video streams with video_replay (Stian Selnes)
Decoding video when there is packet loss is not an easy task. Recent Chrome versions have been plagued by video corruption issues related to a new video jitter buffer introduced in Chrome 58. These issues are hard to debug since they occur only when certain packets are lost. To combat these issues, webrtc.org has a […]