nvidia deepstream
Nvidia Deepstream for AI-based computer vision applications in production
In this section, I will explain how to develop a simple application using the Deepstream framework. The application creates a pipeline that has as a main objective the detection of cars and people, and to determine if they are inside a previously defined restricted zone. By default, the detected objects will be indicated with a green rectangle, and only those inside the restricted zones will be marked with red rectangles. The whole code of the project is located here. Each green block performs a specific task within the pipeline.
Computer vision at the Edge with NVIDIA DeepStream and Azure IoT Edge
Computer vision at the intelligent edge is real and it is here! Access sample code to get started and watch a live demo on the Channel 9 IoT Show for inspiration. Thanks to a collaboration between NVIDIA and Microsoft, the NVIDIA Metropolis video analytics application framework, which runs on EGX, is now optimized to work with Microsoft Azure IoT Edge. The NVIDIA Metropolis framework includes the NVIDIA DeepStream software developer kit. With Azure IoT Edge and NVIDIA DeepStream, you can take a small, inexpensive NVIDIA Jetson Nano Developer Kit and analyze HD video streams in real-time.