Custom AI Elements in DL-Streamer | Intel Software

Learn how to extend DL-Streamer capabilities by building custom pipeline elements using gvaPython. This video explains how GST-Buffer stores metadata, how inference results are structured, and why custom logic is needed for certain AI models. https://github.com/open-edge-platform/dlstreamer/blob/main/docs/user-guide/dev_guide/metadata.md https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/index.html https://github.com/open-edge-platform/edge-ai-libraries/tree/main/libraries/dl-streamer The full Deep-Learning Streamer course https://www.youtube.com/playlist?list=PLg-UKERBljNySiBeQaLtzF0yZGOmKrBRF ---------------------------------- About Intel Software: Intel® Developer Zone is committed to empowering and assisting software developers in creating applications for Intel hardware and software products. The Intel Software YouTube channel is an excellent resource for those seeking to enhance their knowledge. Our channel provides the latest news, helpful tips, and engaging product demos from Intel and our numerous industry partners. Our videos cover various topics; you can explore them further by following the links. Connect with Intel Software: INTEL SOFTWARE WEBSITE: https://intel.ly/2KeP1hD INTEL SOFTWARE on FACEBOOK: http://bit.ly/2z8MPFF INTEL SOFTWARE on TWITTER: http://bit.ly/2zahGSn INTEL SOFTWARE GITHUB: http://bit.ly/2zaih6z INTEL DEVELOPER ZONE LINKEDIN: http://bit.ly/2z979qs INTEL DEVELOPER ZONE INSTAGRAM: http://bit.ly/2z9Xsby INTEL GAME DEV TWITCH: http://bit.ly/2BkNshu #intelsoftware Custom AI Elements in DL-Streamer | Intel Software