Future extensions of UV4L will be devoted to Real-time Live Streaming. To be more specific: MJPEG/HTTP Web Server and HTML5/H264 via Websockets.
As promised, the Real-Time Object Detection and Tracking for the Rpi Camera Driver is ready! This feature can be turned on and off on-the-fly while streaming.
For now the command line options allow you to pass two cascade classifiers, one used for detection and the other one used for tracking. Default settings are reasonably good for face detection/tracking at 320x240 ~15fps.
The V4L2 Camera Driver for the RaspberryPi will be supporting Real-time Object Detecton. Stay tuned!
In the meanwhile, the today's release introduces a new option known as Dynamic Range Compression (DRC) (see the manual page for more information). Don't forget to update the firmware before updating the driver.
The long-awaited Text Over Video feature (yes, Video, NOT Preview) for the RaspiberryPi V4L2 Camera Driver is ready. Update or install the driver now and try it!
From now on it will be possible to dinamically draw arbirary text lines onto the video frames at any position with any color, scale and font.
This is a simple demo showing one possible effect!
See the example #9 to know how this works.
You will be able to dinamically overlay arbitrary text on video frames (not onto the preview display) at any position and with any color. Stay tuned!