The Intel® Movidius™ Myriad™ X VPU is Intel's first VPU to feature the Neural Compute Engine — a dedicated hardware accelerator for deep neural network inference. The Neural Compute Engine in conjunction with the 16 powerful SHAVE cores and high throughput intelligent memory fabric makes Movidius Myriad X ideal for on-device deep neural networks and computer vision applications.
The Movidius Myriad X VPU is programmable with the Intel® Distribution of the OpenVINO™ toolkit for porting neural network to the edge, and via the Myriad Development Kit (MDK) which includes all necessary development tools, frameworks and APIs to implement custom vision, imaging and deep neural network workloads on the chip.
Open Source Spatial AI From The Biggest Name in Computer Vision.
To celebrate OpenCV’s 20th anniversary we are proud to introduce the OpenCV AI Kit (OAK), an MIT-licensed open source software and Myriad X-based hardware solution for computer vision at any scale.
OAK consists of the OAK API software and two different types of hardware: OAK-1 and OAK-D. They are tiny artificial intelligence (AI) and computer vision (CV) powerhouses, with OAK-D providing spatial AI leveraging stereo depth in addition to the 4K/30 12MP camera that both models share. They are also both absurdly easy to use. Up and running in under 30 seconds, OAK-1 and OAK-D allow anyone to access this power: hobbyists, researchers, and professionals alike. Once you're done tinkering, OAK's modular, FCC/CE-approved, open-source hardware ecosystem affords direct integration into your products.
FREE COLMAP A beginner tutorial, introduction to photogrammetry
This video goes through the step-by-step process used to generate a 3D model from digital photographs using the open source free software COLMAP. I present the issues that I have had using the software, including selecting the incorrect version, GPU freezing/timeout and not choosing the correct processing method. Following software setup and testing I show the location for the publicly available high resolution digital image set of Gerrard Hall at UNC Chapel Hill provided on the COLMAP website, the link for all the web pages in the video are below. After the images have been processed and both the sparse cloud and dense cloud have been generated I use MeshLab, also free open source, to open the dense cloud version of the file (.ply) generated by COLMAP and show how to export both an (.stl) and (.obj) for 3D printing.
https://colmap.github.io/datasets.htmlhttps://github.com/colmap/colmap/rele...https://colmap.github.io/faq.html#fix...https://colmap.github.io/tutorial.htmlhttp://www.meshlab.net/#download
Music:
https://www.youtube.com/watch?v=_Gd8m...
Gerrard Hall:
https://www.carolinaperformingarts.or...
