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OpenCV

A comprehensive library for real-time computer vision tasks like object detection and image analysis

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Image-Video I/O
Can read and write images from scratch. Capture, save, and process videos.
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Feature Detection
Detect features like corners, edges, and blobs
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Object Detection
Identify specific objects within images
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Motion Analysis
Determine object motion and direction. Enables applications like video surveillance or self-driving cars by calculating object movement and direction.
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Image Filtering
Apply filters for noise reduction and enhancement
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Geometric Transformations
Warp, rotate and resize images. Allows manipulating images for tasks like image alignment, resizing, and perspective correction.
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Machine Learning
Build complex computer vision applications that can learn and improve over time
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Real-Time Performance
Use in practical applications like robotics and augmented reality, where real-time processing is critical
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Image Segmentation
Divide images into meaningful regions
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Background Subtraction
Separate foreground from background
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Face Detection
Detect faces in images and videos
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Panorama Stitching
Combine multiple images into panoramas
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Stereo Vision
Create 3D reconstructions from stereo images
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Camera Calibration
Calibrate cameras for accurate measurements
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Difficult for Beginners
C++ interface can be challenging for those new to programming
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Limited Machine Learning Library
Offers basic machine learning functionalities, it lacks the extensive libraries of frameworks specifically designed for machine learning tasks
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Limited Mobile Support
Mobile SDKs are not as robust as some alternatives.

Platform

Desktop
Mobile-Tablet
Maemo
Language
PythonJavaC++

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System Requirements

#Minimum
1
700 MHz single-core CPU
2
256 MB
3
The system optimal for you depends on your use.

Ratings

4.80
5

DiscoverSDK
10.0
10
based on 1 reviews
G2CROWD
4.6
5
based on 28 reviews
SourceForge
4.8
5
based on 139 reviews

Developer

Written in

C++, C

Initial Release

June 2000

Repository

License

Categories