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OpenCV Training Course in Delhi and Dehradun

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.
Best Project based Internship on OpenCV Training course in Delhi and Dehradun,Uttarakhand .

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.
Brillica Services and its team of experienced and certified instructors walk the extra mile and stimulate the knowledge craving for

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

OpenCV Training Course at Brillica Services Delhi and Dehradun,Uttarakhand 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
October-2021 11/10/21 and 25/10/21
2 hours(Monday-Thursday) per day
16/10/21 and 17/10/21
3 hours(Saturday-Sunday) per day
Online/Offline
November-2021 15/11/21 and 30/11/21
2 hours(Monday-Thursday) per day
20/11/21 and 21/11/21
3 hours(Saturday-Sunday) per day
December-2021 13/12/21 and 27/12/21
2 hours(Monday-Thursday) per day
18/12/21 and 19/12/21
3 hours(Saturday-Sunday) per day
January-2022 03/01/22 and 24/01/22
2 hours(Monday-Thursday) per day
15/01/22 and 16/01/22
3 hours(Saturday-Sunday) per day
Feburary-2022 07/02/22 and 14/02/22
2 hours(Monday-Thursday) per day
19/02/22 and 20/02/22
3 hours(Saturday-Sunday) per day

FAQs OpenCV Training Course

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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