Here is my slide on OpenCV. This slide includes major things about OpenCV such as what is OpenCV?, its appications, Functionalities, uses, pros and cons, Modules of OpenCV and Installation of OpenCV in all platforms.

1. OpenCV
(open source computer vision)
Chetan Allapur-OpenCV

2. What is OpenCV?
OpenCV (Open Source Computer Vision Library: http://opencv.org) is
an open-source BSD-licensed library that
includes several hundreds of computer vision
algorithms to be used by industry and
academia for computer vision applications
and research.
By Chetan Allapur
Chetan Allapur-OpenCV

3. ❏ OpenCV is originally developed by Intel.
❏ It has more than 2500 optimized algorithms.
❏ It has C/C++/Python Application Programming Interface.
● It is written natively in C++
❏ OpenCV is a Cross-platform.
● Also available for Android and iOS.
❏ Released under BSD license.
❏ Initial release: June 2000; 20 years ago.
❏ Current release version: 4.3.0 / 3 April 2020.
Chetan Allapur-OpenCV

4. Applications of OpenCV....
● Object,face and Gesture Recognition
● Street view image stitching
● Automated inspection and surveillance
● Robot and driver-less car navigation and control
● Medical image analysis
● Video/image search and retrieval
● Movies - 3D structure from motion
● ….and so on.
Chetan Allapur-OpenCV

5. Functionalities of OpenCV:
● Image/video I/O, processing, display (core, imgprocessing,
highgui)
● Object/feature detection (objdetect, features2d, nonfree)
● Geometry-based monocular or stereo computer vision (calib3d,
stitching, video stabilization)
● Computational photography (photo, video, superres)
● Machine learning & clustering (ml, flann-Fast Library for
Approximate Nearest Neighbors)
● CUDA acceleration (gpu)
Chetan Allapur-OpenCV

6. Why we use OpenCV the most?
❖ OpenCV is one of the best competitor When compared with
Matlab.
❖ OpenCV has more functions for computer vision than Matlab.
In general C++ OpenCV code runs faster than Matlab code.
❖ OpenCV is very powerful when it comes to Image Processing.
❖ Few day to day tasks such as Motion Detection, Object
Detection, People Detection becomes matter of minutes with
OpenCV.
Chetan Allapur-OpenCV

7. Pros and Cons:
Competitor here: Matlab
❖ Pros:
● With BSD license for OpenCV, you get all the features for free.
Also, optimized code runs faster than MATLAB!
● Speed: OpenCV uses high frames processed per sec in real time
image processing Than Matlab.
● OpenCV is more efficient than Matlab as Matlab needs more
system resources than OpenCV.
● There are many OpenCV wrappers like SimpleCV, JavaCV,
EmguCV,JavacvPro,..etc
Chetan Allapur-OpenCV

8. Pros and Cons:
Competitor here: Matlab
❖ Cons:
● OpenCV does not provide the same ease of use when
compared to MATLAB
● OpenCV lacks in memory management.
● Matlab is much easier to write lines of code. Similar functionality
might be just 1–2 lines of code compared to OpenCV.
Chetan Allapur-OpenCV

9. OpenCV has a modular structure, which
means that the package includes several
shared or static libraries. The following
modules are available:
Chetan Allapur-OpenCV

10. Modules:
● Core functionality (core): basic structures and algorithms.
● Image Processing (imgproc): Image processng algorithms
(such as image filtering, image transformation,etc)
● Video Analysis (video): Video analysis (such as ,otion
estimation and object tracking)
● High-level GUI (highgui): It has built-in UI and in addition,
we use Qt(free and open-source widget toolkit for creating graphical user
interfaces)
Chetan Allapur-OpenCV

11. Modules:
● Camera Calibration and 3D Reconstruction (calib3d):
camera calibration and 3d reconstruction
● 2D Features Framework (features2d): 2D features
framework (feature detectors, descriptors and descriptor
matchers)
● Object Detection (objdetect): detection of objects and other
items(e.g., faces, eyes, people, cars, etc,.)
● Video I/O (videoio): an easy-to-use interface to video capturing
and video codecs.
Chetan Allapur-OpenCV

12. Installation steps in windows:
1. Step 1: Install Visual Studio. ...
2. Step 2: Install CMake. ...
3. Step 3: Install Anaconda (a python distribution) ...
4. Step 4: Download and extract opencv-3.3. ...
5. Step 5: Generate Visual Studio project using CMake. ...
6. Step 6: Compile OpenCV. ...
7. Step 7: Update System Environment Variables. ...
8. Step 8: Testing C++ code.
(for more detailed explanation - Link)
Chetan Allapur-OpenCV

13. Installation steps in iOS:
1. Download OpenCV 3 from www.opencv.org.
2. Create iOS project by Xcode (Xcode 9.1 (9B55)).
3. Import opencv2. framework to project in General>Linked
Frameworks and Libraries.
4. Set correct path in Build Settings>Framework Search Paths.
5. Import header before any module or framework of Cocoa.
(For more detailed explanation - Link)
Chetan Allapur-OpenCV

14. Installation steps in Ubuntu:
1. Refresh the packages index and install the OpenCV package
by typing: sudo apt update sudo apt install python3-opencv. ...
2. To verify the installation, import the cv2 module and print the
OpenCV version
(this is the installation of OenCV from Ubuntu Repository, for installng CV from the source - link)
Chetan Allapur-OpenCV

15. Resources:
➢ OpenCV Wiki- Link
➢ OpenCV: OpenCV modules - Link
➢ Introduction to Computer Vision - Link (Edge AI and Vision Alliance)
➢ OpenCV | NVIDIA Developer - Link (NVIDIA Developer)
Chetan Allapur-OpenCV