Computer Vision with OpenCV培训

课程编码

opencv

课程时长

28 小时 通常来说是4天,包括中间休息。

要求

One of the following:

  • C++
  • Java
  • Python
  • MATLAB
  • CUDA
  • OpenCL

课程概览

OpenCV (开源Computer视觉库:http://opencv.org)是一个开源的BSD许可库,包含数百种计算机视觉算法。

听众

本课程面向寻求将OpenCV用于计算机视觉项目的工程师和建筑师

Machine Translated

课程大纲

Introduction

  • Setting up OpenCV
  • API concepts

Main Modules

  • The Core Functionality(Core Module)
  • Image Processing(Imgproc Module)
  • High Level GUI and Media (highgui module)
  • Image Input and Output (imgcodecs module)
  • Video Input and Output (videoio module)
  • Camera calibration and 3D reconstruction (calib3d module)
  • 2D Features framework (feature2d module)
  • Video analysis (video module)
  • Object Detection (objdetect module)
  • Machine Learning (ml module)
  • Computational photography (photo module)
  • OpenCV Viz

Bonus topics

  • GPU-Accelerated Computer Vision (cuda module)
  • OpenCV iOS

Bonus topics are not available as a part of a remote course. They can be delivered during classroom-based courses, but only by prior agreement, and only if both the trainer and all participants have laptops with supported NVIDIA GPUs (for the CUDA module) or MacBooks, Apple developer accounts and iOS-based mobile devices (for the iOS topic). NobleProg cannot guarantee the availability of trainers with the required hardware.

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