OpenCV Training Course



OpenCV a library of Computer Vision offers high relevance to AI and machine learning enabling object detection, video analysis, image processing, camera calibration and much more. Acquiring in-depth knowledge of computer vision allows you to resolve system and device issues involving sensor detection. Here at brillica services with the help of certified trainers we provide praject based OpenCV course in Uttarakhand & Dehradun.

Course Highlights

  • Instructor-led Classroom and Online
  • Training modes
  • Best-in-Class Training Curriculum
  • Beginner to Expert Level Training
  • Hands-on Programming Practice
  • Pro-Python Tips & Tricks Practice Activities
  • Unlimited Access - Online or Offline Flexible Guaranteed to Run Schedules
  • Self-Paced Learning

Pre-Requisite

As a preferred requisite, the course can benefit you if you possess:
1. Basic knowledge of mathematics
2. Basic Python programming knowledge

Course Content

  • Introduction to OpenCV
  • About OpenCV framework in Python
  • Face Detection with OpenCV
  • Image Processing with OpenCV
  • Object detection with SSD
  • Generative Adversarial Networks (GANs) Intuition
  • Image creation with GANs
  • Using video inputs
  • Creating custom interfaces
  • Thresholding
  • Object detection
  • Real World OpenCV applications

Course Description

OpenCV a library of Computer Vision offers high relevance to AI and machine learning enabling object detection, video analysis, image processing, camera calibration and much more. Acquiring in-depth knowledge of computer vision allows you to resolve system and device issues involving sensor detection. It empowers you to detect and extract a world of information about environments using a simple camera. The real-world applications of Open CV include self-driven cars, industrial automation, and robots.

the OpenCV essentials including image processing, computing histogram, image processing, how to compute the histogram, pre-processing video inputs and much more. Our all-inclusive OpenCV training course helps you gain proficiency in tracking image and objects, writing threshold programs in python, develop object tracking and document control applications and so on.
We help you attain the highest level of efficiency in rendering the realistic OpenCV capabilities with our out-of-the-box OpenCV training courses available in diverse training modes and flexible schedules

Course Objectives

Computer Vision course in Uttarakhand at Brillica Services Helps You to :

Using the Open CV-Library

Creating own image using a face detection program

Data types and structures

Using video inputs

Creating custom interfaces

Applications in the real world

Different concepts of Open CV-Library, image fundamentals, image processing techniques, image filtering techniques, feature detection, video analysis

Different tools of image processing including pixel and area manipulation, how to draw rectangles, concentric circles, random circles and lines, OpenCV transformation of the image

OpenCV Training Schedule and Duration

Course Name Duration
OpenCV 2 Month

Upcoming Training Schedule

Month Weekdays Weekends Mode
March-2022 07/03/2022 and 14/03/2022
2 hours(Monday-Thursday) per day
05/03/2022 and 12/03/2022
3 hours(Saturday-Sunday) per day
Online/Offline
April-2022 04/04/2022 and 11/04/2022
2 hours(Monday-Thursday) per day
02/04/2022 and 09/01/2022
3 hours(Saturday-Sunday) per day
May-2022 02/05/2022 and 09/05/2022
2 hours(Monday-Thursday) per day
07/05/2022 and 14/05/2022
3 hours(Saturday-Sunday) per day
June-2022 06/06/2022 and 13/06/2022
2 hours(Monday-Thursday) per day
05/06/2022 and 12/06/2022
3 hours(Saturday-Sunday) per day
July-2022 04/07/2022 and 11/07/2022
2 hours(Monday-Thursday) per day
02/07/2022 and 09/07/2022
3 hours(Saturday-Sunday) per day

FAQs Computer Vision (OpenCV) Course in Uttarakhand & Dehradun

Ans. OpenCV is the huge open-source library for computer vision, machine learning, and image processing and now it plays a major role in real-time operation which is very important in today's systems. By using it, one can process images and videos to identify objects, faces, or even handwriting of a human.

Ans. OpenCV is a huge open-source library for computer vision, machine learning, and image processing. OpenCV supports a wide variety of programming languages like Python, C++, Java, etc. It can process images and videos to identify objects, faces, or even the handwriting of a human.

Ans. OpenCV is the huge open-source library for computer vision, machine learning, and image processing and now it plays a major role in real-time operation which is very important in today's systems. By using it, one can process images and videos to identify objects, faces, or even handwriting of a human.

Ans. MTCNN or Multi-Task Cascaded Convolutional Neural Network is unquestionably one of the most popular and most accurate face detection tools today. As such, it is based on a deep learning architecture, it specifically consists of 3 neural networks (P-Net, R-Net, and O-Net) connected in a cascade.

Ans. In short, the term face recognition extends beyond detecting the presence of a human face to determine whose face it is. The process uses a computer application that captures a digital image of an individual's face sometimes taken from a video frame and compares it to images in a database of stored records.

Ans. The eigenface-based algorithm is used for Face Recognition, and it is a method for efficiently representing faces using Principal Component Analysis.

Ans. The main difference is that TensorFlow is a framework for machine learning, and OpenCV is a library for computer vision.

Ans. Its layering and abstraction give deep learning models almost human-like abilities—including advanced image recognition. Using OpenCV—a widely adopted computer vision software—you c.an run previously trained deep learning models on inexpensive hardware and generate powerful insights from digital images and video.

Ans. OpenCV-Python is a library of Python bindings designed to solve computer vision problems. cv2. imread() method loads an image from the specified file. If the image cannot be read (because of the missing file, improper permissions, unsupported or invalid format) then this method returns an empty matrix.

Ans. OpenCV is written in C++ and its primary interface is in C++, but it still retains a less comprehensive though extensive older C interface. All of the new developments and algorithms appear in the C++ interface. There are bindings in Python, Java, and MATLAB/OCTAVE.


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