Computer Vision By Using C++ and OpenCV with GPU support
Accredited by IAO | Complete Video Lessons from Expert Instructor | Tutor Support Included
One Education
Summary
- Exam(s) / assessment(s) is included in price
- Tutor is available to students
Overview
If you want to gain a solid understanding of Computer Vision By Using C++ and OpenCV with GPU support and fast track your dream career, then take a step in the right direction with this industry-standard, comprehensive Computer Vision By Using C++ and OpenCV with GPU support course designed by expert instructors.
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This premium online course titled Computer Vision By Using C++ and OpenCV with GPU support ensures your professional development with IAO accreditation. You’ll have the privilege of learning in your own time, at your own pace and earning an accredited certification.
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This Computer Vision By Using C++ and OpenCV with GPU support course is developed by industry experts and is packed with several insightful modules to give you a proper understanding of Computer Vision By Using C++ and OpenCV with GPU support and allow you to accelerate your career.
Why People Love And Enrol The Computer Vision By Using C++ and OpenCV with GPU support Course From One Education
- Eligibility for an IAO-accredited certificate on successful completion of Computer Vision By Using C++ and OpenCV with GPU support Course
- Learning materials of our Computer Vision By Using C++ and OpenCV with GPU support course contains engaging voiceover and visual elements for your comfort
- Freedom to study at your own pace
- 24/7 access to the Computer Vision By Using C++ and OpenCV with GPU support course materials for 12 months
- Full Tutor support on weekdays (Monday – Friday)
Course media
Description
This masterclass Computer Vision By Using C++ and OpenCV with GPU support online training course is designed by industry experts and will give you an in-depth understanding of this topic. The Computer Vision By Using C++ and OpenCV with GPU support course features easy-to-digest modules that break down each topic and ensure all our students receive an unrivalled and thorough learning experience.
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On the Computer Vision By Using C++ and OpenCV with GPU support course, we guarantee that you will gain relevant skills and acquire tremendous knowledge on the subject. The certificate you’ll achieve after completing the Computer Vision By Using C++ and OpenCV with GPU support course will help you land the job you want in a related field.
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Course Curriculum:
Here is a curriculum breakdown of the Computer Vision By Using C++ and OpenCV with GPU support course:
***Computer Vision By Using C++ and OpenCV with GPU support with GPU support***
Unit 01: Set up Necesssary Environments
- Module 01: Driver installation [driver-install]
- Module 02: Cuda toolkit installation [cuda-toolkit]
- Module 03: Compile OpenCV from source with CUDA support part-1
- Module 04: Compile OpenCV from source with CUDA support part-2
- Module 05: Python environment for flownet2-pytorch
Unit 02: Introduction with a few basic examples!
- Module 01: Read camera & files in a folder (C++)
- Module 02: Edge detection (C++)
- Module 03: Color transformations (C++)
- Module 04: Using a trackbar (C++)
- Module 05: Image filtering with CUDA (Introduction to using OpenCV GPU methods on C++)
Unit 03: Background segmentation
- Module 01: Background segmentation with MOG (C++)
- Module 02: MOG and MOG2 cuda implementation (C++ - CUDA)
- Module 03: Special app: Track class
- Module 04: Special app: Track bgseg Foreground objects
Unit 04: Object detection with openCV ML module (C++ CUDA)
- Module 01: A simple application to prepare dataset for object detection (C++)
- Module 02: Train model with openCV ML module (C++ and CUDA)
- Module 03: Object detection with openCV ML module (C++ CUDA)
Unit 05: Optical Flow
- Module 01: Optical flow with Farneback (C++)
- Module 02: Optical flow with Farneback (C++ CUDA)
- Module 03: Optical flow with Nvidia optical flow SDK (C++ CUDA)
- Module 04: Optical flow with Nvidia Flownet2 (Python)
- Module 05: Performance Comparison
Certification
Once you have finished the Computer Vision By Using C++ and OpenCV with GPU support course, you will be eligible to apply for an IAO-accredited certificate as proof of your new skills and your continued professional development. Certificates are available as a PDF for £9, or you can request a hard copy to be sent in the post for £15.
Who is this course for?
The Computer Vision By Using C++ and OpenCV with GPU support with GPU support training course is ideal for highly motivated individuals who want to enhance their professional skills and train for the job they want! This Computer Vision By Using C++ and OpenCV with GPU support course also suits people aspiring for some in-depth knowledge on this topic and keep up to date with the latest information.
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Requirements
There are no formal entry requirements for the Computer Vision By Using C++ and OpenCV with GPU support course, with enrollment open to anyone! Anyone and everyone with a knack for learning can enrol this course without any hesitation.
Learn online from any internet device, including your computer, tablet or smartphone. Study when it suits you and complete the Computer Vision By Using C++ and OpenCV with GPU support course at your own pace.
All students must have a passion for learning and literacy, as well as being over the age of 16.
Career path
Studying the Computer Vision By Using C++ and OpenCV with GPU support course is designed to help you get the job of your dreams, or even that promotion you’ve been waiting for a long time. Learn the essential skills and knowledge you need to exceed in your professional life with the help & guidance from our Computer Vision By Using C++ and OpenCV with GPU support course.
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