{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Computer Vision Decoded","title":"OpenMVG Decoded: Pierre Moulon's 10 Year Journey Building Open-Source Software","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/565a799f\"></iframe>","width":"100%","height":180,"duration":3344,"description":"In this episode of Computer Vision Decoded, we are going to dive into Pierre Moulon's 10 years experience building OpenMVG. We also cover the impact of open-source software in the computer vision industry and everything involved in building your own project. There is a lot to learn here!\nOur episode guest, Pierre Moulon, is a computer vision research scientist and creator of OpenMVG -  a library for computer-vision scientists and targeted for the Multiple View Geometry community.\nThe episode follow's Pierre's journey building OpenMVG which he wrote about as an article in his GitHub repository.\nExplore OpenMVG on GitHub: https://github.com/openMVG/openMVG\nPierre's article on building OpenMVG: https://github.com/openMVG/openMVG/discussions/2165\nEpisode timeline:\n00:00 Intro\n01:00 Pierre Moulon's Background\n04:40 What is OpenMVG?\n08:43 What is the importance of open-source software for the computer vision community?\n12:30 What to look for deciding to use an opensource project\n16:27 What is Multi View Geometry?\n24:24 What was the biggest challenge building OpenMVG?\n31:00 How do you grow a community around an open-source project\n38:09 Choosing a licensing model for your open-source project\n43:07 Funding and sponsorship for your open-source project\n46:46 Building an open-source project for your resume\n49:53 How to get started with OpenMVG\nContact:\nFollow Pierre Moulon on LinkedIn: https://www.linkedin.com/in/pierre-moulon/\nFollow Jared Heinly on Twitter: https://twitter.com/JaredHeinly\nFollow Jonathan Stephens on Twitter at: https://twitter.com/jonstephens85\nThis episode is brought to you by EveryPoint. Learn more about how EveryPoint is building an infinitely scalable data collection and processing platform for the next generation of spatial computing applications and services: https://www.everypoint.io","thumbnail_url":"https://img.transistorcdn.com/svbWV6r49-pdpieSXBZA2AID_LcN1G2vaCDgYbQPMcg/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzMxOTQ2LzE2NTU4/MzEwMTItYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}