5 min. read | In the following guide we are going to take a look on how to set gstreamer plugin rank and prioritize some elements over the others when using playback tools (auto-plug).
5 min. read | With gstreamer appsrc element it easy to push buffers (ex.: numpy arrays) into gstreamer pipeline. Developer can benefit from a variety of already implemented gstreamer plugins and display image in window, write frame to a video file or send buffers over TCP/HTTP.
3 min. read | Youtube is a great platform with useful video content. With Gstreamer capabilities and your creativity you can watch same Youtube videos but with original filters (blurring, sharpening), transformations (style transfer), enhancements (coloring, super resolution).
Gstreamer with Python is highly flexible for data visualization. Any video streaming pipeline could be extended with custom Python plugins that allows you to draw any information (bounding boxes, confidences, class names, etc.). Next information is simple comparison of two most popular approaches to draw on gstreamer buffer: PyCairo, OpenCV.
Gstreamer is flexible plugin based data streaming framework. One of the main advantange of plugins is that developer can pass not only data buffer, but custom metadata which can describe buffer and store any information about buffer. Next information is a simple guide with code templates on how to pass any data from
Next lines of code helps to get buffer width, height from Gst.Caps for further buffer processing. In general, Caps are simple description of media formats and consists of multiple Gst.Structures.
