V4L2 FPGA - Introduction

V4L2 FPGA
Introduction
Overview Frame Grabber Sink Filtering Budget Estimator
Getting the Code
How to get the code Building and Installation Guide Running the demo
Examples
Convolutioner Pass Through Video Test Pattern Generator Xilinx OpenCV
GStreamer Pipelines
Filter Mode Frame Grabber
Supported Platforms
PicoEVB Zynq 7000 series Zynq MP-SoC series LiteFury
Contact Us

Driver List Information

Refer to the RidgeRun Linux Camera Drivers to meet all the list of Drivers available

In this section, you are going to learn more about the V4L2 FPGA and its main features. When you finish this section you are going to have a general knowledge about this project's key features, and the supported modules.

• Overview section explains the project's general structure and technologies.
• Frame Grabber section explains how to use the FPGA as a frame grabber capable of consuming video content from an external source, process them through hardware-described accelerators, and finally, provide them to the system for further processing.
• Sink section explains how to use the FPGA as a sink element capable of consuming video frames from your system. Some examples are accelerated video decoding and display with custom screens.
• Filter section explains the advantages of implementing image/video filter accelerators on the FPGA. This feature can be used to process video content in any required way and return it back to the system for further processing.
• Budget Estimator section contains an estimator of the framerate.

After RidgeRun created V4L2_FPGA, NVIDIA published a V4L2 driver that uses RDMA, making it useful if the video frames are going to be processed by the CUDA hardware. RidgeRun can support the NVIDIA driver or add RDMA support to the RidgeRun created V4L2_FPGA driver.