![]() ![]() There are a variety of methods to accomplish this task (discussed in the introduction of the post), but today we are going to specifically focus on message passing. ![]() In these cases, you need a method to take input frames captured from a webcam with OpenCV and then pipe them over the network to another system. Or, your client machine may be highly resource constrained (such as a Raspberry Pi) and lack the necessary computational horsepower required to run computationally expensive algorithms (such as deep neural networks, for example). To start, you could be building a security application that requires all frames to be sent to a central hub for additional processing and logging. There are a number of reasons why you may want to stream frames from a video stream over a network with OpenCV. You could use Raspberry Pis and a library called ImageZMQ to stream from the Pi (client) to the server. Will be using Raspberry Pis as our clients to demonstrate how cheaper hardware can be used to build a distributed network of cameras capable of piping frames to a more powerful machine for additional processing.īy the end of this tutorial, you’ll be able to apply live video streaming with OpenCV to your own applications! Why stream videos/frames over a network? Figure 1: A great application of video streaming with OpenCV is a security camera system. ![]() And a server that will take the input frames and run object detection on them.A client that will capture frames from a simple webcam.In the first part of this tutorial, we’ll discuss why, and under which situations, we may choose to stream video with OpenCV over a network.įrom there we’ll briefly discuss message passing along with ZMQ, a library for high performance asynchronous messaging for distributed systems. 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. Click here to download the source code to this post ![]()
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