Overview:
OpenCV (Open Source Computer Vision Library: http://opencv.org) is an open-source BSD-licensed library that includes several hundreds of computer vision algorithms.
Pre-Requisite:
One of the following:
- C++
- Java
- Python
- MATLAB
- CUDA
- OpenCL
Audience:
This course is directed at engineers and architects seeking to utilize OpenCV for computer vision projects
Course Curriculum
| Introduction | |||
| Setting up OpenCV Details | 00:00:00 | ||
| API concepts Details | 00:00:00 | ||
| Main Modules | |||
| The Core Functionality(Core Module) Details | 00:00:00 | ||
| Image Processing(Imgproc Module) Details | 00:00:00 | ||
| High Level GUI and Media (highgui module) Details | 00:00:00 | ||
| Image Input and Output (imgcodecs module) Details | 00:00:00 | ||
| Video Input and Output (video module) Details | 00:00:00 | ||
| Camera calibration and 3D reconstruction (calib3d module) Details | 00:00:00 | ||
| 2D Features framework (feature2d module) Details | 00:00:00 | ||
| Video analysis (video module) Details | 00:00:00 | ||
| Object Detection (objdetect module) Details | 00:00:00 | ||
| Machine Learning (ml module) Details | 00:00:00 | ||
| Computational photography (photo module) Details | 00:00:00 | ||
| OpenCV Viz Details | 00:00:00 | ||
| Bonus topics | |||
| GPU-Accelerated Computer Vision (cuda module) Details | 00:00:00 | ||
| OpenCV iOS Details | 00:00:00 | ||
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