There are additional folders with full solutions: exercise4: build OpenCL based user kernel for neural network cosine activation and tensor objects.exercise3: intro to tensor object, build a cosine activation user kernel for tensor objects.exercise2: user kernels, build a wrapper kernel to OpenCV function.exercise1: framework basics, graph concepts, keypoint tracking.The tutorial_exercises sub-directory contains four exercises: All of the exercise folders contain only one. The tutorial_exercises/CMakeLists.txt includes all the exercises as separate It is best to start doing these exercises after going through the tutorial presentations that discuss OpenVX ecosystem overview and hands-on programming sessions.Īll the tutorial exercises are kept in ~/openvx_tutorial/tutorial_exercises. Refer to Wiki page for upcomming events and past event archives. NOTE: The directory ~ in the text below refers to directory containing the openvx_tutorial sub-directory. Build on Windows PC using Visual Studio.Build on any PC using VirtualBox software and a pre-built VM (recommended).Tutorial exercises and build procedures on various platforms are explained in this document.Īn additional section explains tutorial exercises with a VirtualBox VM. This tutorial material is based on OpenVX 1.1 and it can be used on a PC with recent 64-bit OS (Windows, OS X, or Linux). NOTE: The OpenVX Neural Network acceleration tutorials from Embedded Vision Summit 2017 are now available. Sessions that get the participants started on solving real computer vision A set of example algorithmsįrom computational photography and advanced driver assistance mapped to On heterogeneous computing architectures. This course covers both the function-based API and the graph API thatĮnable OpenVX developers to efficiently run computer vision algorithms OpenVX enables performance and power-optimized computer visionįunctionality, especially important in embedded and real-time use cases. Is an open, royalty-free standard API for cross platform acceleration of computer
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |