![OpenCV
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OpenCV (Open Source Computer Vision Library)
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open source computer vision and machine learning software library
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Originally developed by Intel
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free for any kind of use BSD-licensed product
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OpenCV is written natively in C/C++ (Fast, Portable)
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It has C++, Python, Java and MATLAB/Octave interfaces
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Wrappers in other languages such as C#, Perl,[14] Ch,[15] Haskell[16] and Ruby
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Cross-platform (Desktop and Mobile)
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more than 2500 optimized algorithms
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more than 47 thousand people of user community
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mainly aimed at real-time computer vision
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OpenCV 4.0 has been released (20 Nov 2018)](https://image.slidesharecdn.com/opencv-190922084817/85/OpenCV-29-320.jpg)
OpenCV
- 2. Computer Vision by Maryam Behzadi behzadimbehzadim mariebehzadimariebehzadi mariebehzadimariebehzadi
- 3. What is Computer Vision? What are its applications? Why is it important? How is it used? What`s the Fuss About OpenCV Library?
- 4. What is Computer Vision?
- 5. What is Computer Vision?
- 6. Vision
- 7. Vision ● Vision is the process of discovering what is present in the world and whereVision is the process of discovering what is present in the world and where it is by looking.it is by looking.
- 8. Computer Vision ● Computer Vision is the study of analysis of pictures and videos in order toComputer Vision is the study of analysis of pictures and videos in order to achieve results similar to those as by people.achieve results similar to those as by people.
- 9. Computer Vision The goal of computer vision is to recognize objects and their motion
- 10. Computer Vision and Nearby Fields ● Computational Photography: Images to Images ● Computer Graphics: Models to Images ● Computer Vision: Images to Models ● Machine Vision: Distinct Form of CV
- 11. Computer Vision and Nearby Fields ● Image Processing ● Scientific / medical imaging ● Pattern Recognition ● Learning ● Artificial Intelligence ● Visual Neuroscience ● Applied Mathematics ● ...
- 12. History
- 13. History ● 1966: Minsky assigns computer vision as an undergrad summer project ● 1960’s: interpretation of synthetic worlds ● 1970’s: some progress on interpreting selected images ● 1980’s: ANNs come and go; shift toward geometry and increased mathematical rigor ● 1990’s: face recognition; statistical analysis in vogue ● 2000’s: broader recognition; large annotated datasets available; video processing starts
- 14. Why Computer Vision Matters? Safety Health Security Comfort AccessFun
- 15. Interesting applications of Computer Vision Optical character recognition (OCR) Digit recognition, AT&T labs http://www.research.att.com/~yann/ Technology to convert scanned docs to text • If you have a scanner, it probably came with OCR software License plate readers http://en.wikipedia.org/wiki/Automatic_number_plate_recognition
- 16. Interesting applications of Computer Vision Face detection • Many new digital cameras now detect faces – Canon, Sony, Fuji, …
- 17. Interesting applications of Computer Vision Smile detection
- 18. Interesting applications of Computer Vision 3D Modeling from thousands of images Image from Microsoft’s Virtual Earth (see also: Google Earth)
- 19. Interesting applications of Computer Vision LaneHawk by EvolutionRobotics “A smart camera is flush-mounted in the checkout lane, continuously watching for items. When an item is detected and recognized, the cashier verifies the quantity of items that were found under the basket, and continues to close the transaction. The item can remain under the basket, and with LaneHawk,you are assured to get paid for it… “ Object recognition
- 20. Interesting applications of Computer Vision Login without a password… Fingerprint scanners on many new laptops, other devices Face recognition systems now beginning to appear more widely http://www.sensiblevision.com/
- 21. Interesting applications of Computer Vision Special effects shape capture The Matrix movies, ESC Entertainment, XYZRGB, NRC
- 22. Interesting applications of Computer Vision Pirates of the Carribean, Industrial Light and Magic Special effects motion capture
- 23. Interesting applications of Computer Vision Sports
- 24. Interesting applications of Computer Vision Smart cars Mobileye – Vision systems currently in high-end BMW, GM, Volvo models – By 2010: 70% of car manufacturers. • Video demo
- 25. Interesting applications of Computer Vision Robotics http://www.robocup.org/NASA’s Mars Spirit Rover http://en.wikipedia.org/wiki/Spirit_rover
- 26. Interesting applications of Computer Vision Medical imaging Image guided surgery Grimson et al., MIT 3D imaging MRI, CT
- 27. Current State of the Art You just saw examples of current systems. – Many of these are less than 5 years old. This is a very active research area, and rapidly changing. – Many new applications in the next 5 years To learn more about vision applications and companies. – David Lowe maintains an excellent overview of vision companies ● http://www.cs.ubc.ca/spider/lowe/vision.html
- 28. Tools ● Image Processing (OpenCV, BoofCV, SimpleCV) ● OCR (Tesseract) ● Machine Learning Tools (DLib, SciPy) ● Deep Learning Tools (TensorFlow, Theano, Torch, Keras) ● Segmentation (SLIC Superpixels) ● Multi-View Geometry (OpenMVG) ● Visual Odometry (LIBVISO) ● Scene Reconstruction (VisualSFM, MeshLab, Bundler) ● Video Tracking (OpenTL) ● Video Stabilization (Vid.stab)
- 29. OpenCV ● OpenCV (Open Source Computer Vision Library) ● open source computer vision and machine learning software library ● Originally developed by Intel ● free for any kind of use BSD-licensed product ● OpenCV is written natively in C/C++ (Fast, Portable) ● It has C++, Python, Java and MATLAB/Octave interfaces ● Wrappers in other languages such as C#, Perl,[14] Ch,[15] Haskell[16] and Ruby ● Cross-platform (Desktop and Mobile) ● more than 2500 optimized algorithms ● more than 47 thousand people of user community ● mainly aimed at real-time computer vision ● OpenCV 4.0 has been released (20 Nov 2018)
- 30. Why OpenCV? ● Open Source and Free to use ● Big community ● Huge optimized library ● Portability ● Fast and Real Time Processing ● Efficiency (Memory Management) ● Multi-Core Processing ● Enabled with OpenCL => hardware acceleration (GPU) ● Development Environment
- 31. NVIDIA Report OpenCV is the leading open source library for computer vision, image processing and machine learning, and now features GPU acceleration for real-time operation. Over 250 functions have been ported to use CUDA delivering 5x to 100x speed up.
- 32. State of the Art OpenCV Applications ● 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 ● Interactive art installations OpenCV Functionality ● Image/video I/O, processing, display (core, imgproc, highgui) ● Object/feature detection (objdetect, features2d, nonfree) ● Geometry-based monocular or stereo computer vision (calib3d, stitching, videostab) ● Computational photography (photo, video, superres) ● Machine learning & clustering (ml, flann) ● CUDA acceleration (gpu)
- 33. OpenCV in Python Installation ● if you need only main modules – pip install opencv-python ● if you need both main and contrib modules – pip install opencv-contrib-python Usage >>> import cv2 >>> print cv2.__version__
- 34. Further Info https://opencv.org/ https://docs.opencv.org/3.0-beta/doc/py_tutorials/py_tutorials.html https://pypi.org/project/opencv-python/ https://github.com/jbhuang0604/awesome-computer-vision Pattern Classification by Richard O. Duda Computer Vision: Theory and Application (Rick Szeliski 2010)
- 35. By the Way ...