video-pipeline

Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.

FastMJPG is a command line tool for capturing, sending, receiving, rendering, piping, and recording MJPG video with extremely low latency. It is optimized for running on constrained hardware and battery powered devices.

A pipeline framework for developing video and image processing application. Supports multiple GPUs and Machine Learning tooklits

CPRE488 MP2 - 1080p HDMI video pipeline for Zynq using Vivado/Vitis—TPG→VDMA with GenLock→VTC→HDMI, plus YUV422 luminance processing and FMC I²C bring-up

This project provides a video pipeline using event-based sensors to capture the vision process. It can run on PC and Xilinx Pynq-Z2, using an abstraction library between the user and the architecture. The repository contains the main codes and the designs of the complete system.