Course Outline
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 included in remote courses. They may be offered during in-person classroom sessions, subject to prior agreement, and only if the trainer and all participants possess laptops with compatible 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 necessary hardware.
Requirements
You should possess proficiency in at least one of the following:
- C++
- Java
- Python
- MATLAB
- CUDA
- OpenCL
Additionally, a foundational understanding of machine learning is required. Familiarity with linear algebra, statistics, and probability is advantageous.
Testimonials (1)
I genuinely enjoyed the hands-on approach.
