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Course Overview
In this comprehensive online course, delve into the realm of Computer Vision using the powerful combination of C++ and OpenCV, enhanced with GPU support. Over a structured series of modules, you'll unlock the secrets of image processing, object detection, motion tracking, and more. Through hands-on projects and real-world applications, you'll master the intricacies of leveraging GPU acceleration for blazing-fast computations, empowering you to tackle complex visual recognition tasks with efficiency and precision. Brace yourself, enrol now for an amazing venture!This Computer Vision: C++ and OpenCV with GPU support Course Package Includes
- Comprehensive lessons and training provided by experts on Computer Vision: C++ and OpenCV with GPU support
- Interactive online learning experience at your convenience
- 24/7 Access to the course materials and learner assistance
- Easy accessibility from any smart device (Laptop, Tablet, Smartphone etc.)
- A happy and handy learning experience for the professionals and students
- 100% learning satisfaction, guaranteed by Compliance Central
- Understand the fundamentals of Computer Vision and its applications
- Develop proficiency in C++ programming language
- Gain proficiency in utilizing OpenCV library for image processing
- Harness the power of GPU acceleration for enhanced performance
- Implement image filtering, transformation, and feature extraction techniques
- Build object detection and recognition systems
- Create motion-tracking algorithms
- Deploy Computer Vision models in real-world scenarios
Certification
You can instantly download your certificate for £4.79 after finishing the Computer Vision: C++ and OpenCV with a GPU support course. The hard copy of the certification will also be sent right to your doorstep via post for £10.79. All of our courses are continually reviewed to ensure their quality, and they provide appropriate current training for your chosen subject. As such, although certificates do not expire, they are recommended to be reviewed or renewed annually.Who Is This Course For
Compliance Central aims to prepare efficient human resources for the industry and make it more productive than ever. This helpful course is suitable for any person who is interested in Computer Vision: C++ and OpenCV with GPU support. There are no pre-requirements to take it. You can attend the course if you are a student, an enthusiast or a- Software developers
- Computer Science students
- Professionals seeking skill enhancement
- AI and Machine Learning enthusiasts
- Individuals interested in visual recognition
- Tech enthusiasts
- Engineers exploring image processing
- Hobbyists curious about Computer Vision
- Researchers in related fields
- Anyone passionate about coding and visuals
Course Currilcum
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- 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
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- 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
- 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
- Module 01: Optical flow with Farneback (C++) 00:08:00
- Module 02: Optical flow with Farneback (C++ CUDA) 00:07:00
- 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
Student Reviews
Ben lim
Gaining improve knowledge in the construction project management and the course is easy to understand.
Mr Brian Joseph Keenan
Very good and informative and quick with marking my assignments and issuing my certificate.
Sarah D
Being a support worker I needed add a child care cert in my portfolio. I have done the course and that was really a good course.
Sam Ryder
The first aid course was very informative with well organised curriculum. I already have some bit and pieces knowledge of first aid, this course helped me a lot.
Ben lim
Gaining improve knowledge in the construction project management and the course is easy to understand.
Thelma Gittens
Highly recommended. The module is easy to understand and definitely the best value for money. Many thanks
BF Carey
First course with Compliance Central. It was a good experience.
Course Currilcum
-
- 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
-
- 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
- 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
- Module 01: Optical flow with Farneback (C++) 00:08:00
- Module 02: Optical flow with Farneback (C++ CUDA) 00:07:00
- 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
