ubuntu 20.04 install intel graphics driver

Or you can start from over 70 pre-trained models in OpenVINO™ Open Model Zoo and corresponding model-proc files (pre- and post-processing specification) in /opt/intel/dlstreamer/samples/model_proc folder. Refer to training frameworks documentation how to export model into ONNX* format.Refer to OpenVINO™ Model Optimizer how to convert model into OpenVINO™ IR format.Intel® DL Streamer supports NN models in OpenVINO™ IR and ONNX* formats:

Samples available for C/C++ and Python programming, and as gst-launch command lines and scripts. Please refer to Install Guide for installation options This page contains a list of elements provided in this repository. Hundreds other GStreamer* plugins built on various open-source libraries for media input and output, muxing and demuxing, decode and encode.Image processing plugins based on OpenCV and DPC++.Video decode and encode plugins utilize GPU-acceleration based on VA-API.Inference plugins use OpenVINO™ inference engine optimized for Intel CPU, GPU and VPU platforms.Intel® DL Streamer Pipeline Framework is optimized for performance and functional interoperability between GStreamer* plugins built on various backend libraries The analyzed results can be used to take actions, coordinate events, identify patterns and gain insights across multiple domains: retail store and events facilities analytics, warehouse and parking management, industrial inspection, safety and regulatory compliance, security monitoring, and many other. Media analytics is the analysis of audio & video streams to detect, classify, track, identify and count objects, events and people. Intel® Deep Learning Streamer ( Intel® DL Streamer) Pipeline Framework is an open-source streaming media analytics framework, based on GStreamer* multimedia framework, for creating complex media analytics pipelines for the Cloud or at the Edge.

Ubuntu 20.04 install intel graphics driver