#Node js live visuals how to#
To learn how to perform live network video streaming with OpenCV, just keep reading! Jeff has put a ton of work into ImageZMQ and his efforts really shows.Īs you’ll see, this method of OpenCV video streaming is not only reliable but incredibly easy to use, requiring only a few lines of code. Today I am going to show you my preferred solution using message passing libraries, specifically ZMQ and ImageZMQ, the latter of which was developed by PyImageConf 2018 speaker, Jeff Bass. But both of those can be a royal pain to work with. Using FFMPEG or GStreamer is definitely an option. In those cases, you are left with using a standard webcam - the question then becomes, how do you stream the frames from that webcam using OpenCV? An IP camera may be too expensive for your budget as well. Other IP cameras simply don’t work with OpenCV’s cv2.VideoCapture function. Some IP cameras don’t even allow you to access the RTSP (Real-time Streaming Protocol) stream. But IP cameras can be a pain to work with. It’s a great question - and if you’ve ever attempted live video streaming with OpenCV then you know there are a ton of different options.
Should I use an IP camera? Would a Raspberry Pi work? What about RTSP streaming? Have you tried using FFMPEG or GStreamer? How do you suggest I approach the problem? Hi Adrian, I’m working on a project where I need to stream frames from a client camera to a server for processing using OpenCV. Specifically, you’ll learn how to implement Python + OpenCV scripts to capture and stream video frames from a camera to a server.Įvery week or so I receive a comment on a blog post or a question over email that goes something like this: In today’s tutorial, you’ll learn how to stream live video over a network with OpenCV.
#Node js live visuals code#
Click here to download the source code to this post