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You are taught through a combination of
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Whether you’re an existing practitioner or aspiring professional, this course will enhance your expertise and boost your CV with key skills and an accredited qualification attesting to your knowledge.
The Computer Vision By Using C++ and OpenCV with GPU support is open to all, with no formal entry requirements. All you need is a passion for learning, a good understanding of the English language, numeracy and IT, and to be over the age of 16.
|Unit 01: Set up Necesssary Environments|
|Module 01: Driver installation||00:06:00|
|Module 02: Cuda toolkit installation||00:01:00|
|Module 03: Compile OpenCV from source with CUDA support part-1||00:06:00|
|Module 04: Compile OpenCV from source with CUDA support part-2||00:05:00|
|Module 05: Python environment for flownet2-pytorch||00:09:00|
|Unit 02: Introduction with a few basic examples!|
|Module 01: Read camera & files in a folder (C++)||00:11:00|
|Module 02: Edge detection (C++)||00:08:00|
|Module 03: Color transformations (C++)||00:07:00|
|Module 04: Using a trackbar (C++)||00:06:00|
|Module 05: Image filtering with CUDA (Introduction to using OpenCV GPU methods on C++)||00:13:00|
|Unit 03: Background segmentation|
|Module 01: Background segmentation with MOG (C++)||00:04:00|
|Module 02: MOG and MOG2 cuda implementation (C++ – CUDA)||00:03:00|
|Module 03: Special app: Track class||00:06:00|
|Module 04: Special app: Track bgseg Foreground objects||00:08:00|
|Unit 04: Object detection with openCV ML module (C++ CUDA)|
|Module 01: A simple application to prepare dataset for object detection (C++)||00:08:00|
|Module 02: Train model with openCV ML module (C++ and CUDA)||00:13:00|
|Module 03: Object detection with openCV ML module (C++ CUDA)||00:06:00|
|Unit 05: Optical Flow|
|Module 01: Optical flow with Farneback (C++)||00:08:00|
|Module 02: Optical flow with Farneback (C++ CUDA)||00:06:00|
|Module 03: Optical flow with Nvidia optical flow SDK (C++ CUDA)||00:05:00|
|Module 04: Optical flow with Nvidia Flownet2 (Python)||00:05:00|
|Module 05: Performance Comparison||00:07:00|
|Assignment – Computer Vision by Using C++ and OpenCV||00:00:00|