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On macOS, I’d use Homebrew - it’s the easiest way to get GStreamer, plugins and all dependencies.

On Linux, I’d do that with whatever package manager is recommended on that distro. Installing GStreamer is different depending on what OS you do that. You can build a pipeline graph by connecting elements one by one or start with parsing a “command line”, and then access elements by their names or traversing the pipeline graph.

It is actually another great feature of GStreamer. We will use GStreamer in our own, controlling many aspects of the pipeline, but still using a command-line-alike approach. This page has a plenty of examples of how you can build different GStreamer pipelines using command line with gst-launch-1.0 - the ultimate pipeline builder app shipping with GStreamer. Of course, as it’s also a well-documented C library, the classic way of using it in apps is also available. One of the GStreamer’s greatest features is an ability to create media pipelines entirely in command line. I strongly recommend learning it in details. GStreamer is a powerful tool for building media processing solutions. There are also plugins made specifically for solving Computer Vision problems using OpenCV underneath. They often make 1st-party components (plugins) directly embeddable into GStreamer pipeline graphs. GStreamer is widely used in many real-time media processing pipelines, including Video Analytics solutions from major vendors. It runs on all major hardware architectures including x86, ARM, MIPS, SPARC and PowerPC, on 32-bit as well as 64-bit, and little endian or big endian. It has been ported to a wide range of operating systems, processors and compilers. GStreamer works on all major operating systems such as Linux, Android, Windows, Max OS X, iOS, as well as most BSDs, commercial Unixes, Solaris, and Symbian. The applications it supports range from simple audio/video playback and streaming to complex audio mixing and non-linear video editing and processing. GStreamer is a library for constructing graphs of media-handling components. Sounds too good? Yes, and it is absolutely achievable - with GStreamer.

Even better if we could do that with the same code. Ideally, for development purposes, it would be great to be able to capture video for a USB-connected web camera as well. As I mentioned in Part 0, we will be using an RTSP-capable IP camera as our video source. Video capture is the very first step in any video processing system, so it’s going to be our first task as well.