Please read before starting work on a pull request: https://github.com/Itseez/opencv/wiki/How_to_contribute
Summary of guidelines:
Code Quality Rank: L1
Programming language: C++
License: Apache License 2.0
Tags: Computer Vision
Latest version: v4.5.0
OpenCV alternatives and similar packages
Based on the "Computer Vision" category.
Alternatively, view OpenCV alternatives based on common mentions on social networks and blogs.
Face Recognition9.9 2.1 OpenCV VS Face RecognitionThe world's simplest facial recognition api for Python and the command line
EasyOCR9.5 8.1 OpenCV VS EasyOCRReady-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Kornia8.7 9.5 OpenCV VS KorniaDifferentiable Computer Vision Library
SimpleCV7.6 0.0 L2 OpenCV VS SimpleCVThe Open Source Framework for Machine Vision
tesserocr6.0 1.3 OpenCV VS tesserocrA Python wrapper for the tesseract-ocr API
gaps4.0 4.0 OpenCV VS gapsA Genetic Algorithm-Based Solver for Jigsaw Puzzles :cyclone:
Multi-object trackers in PythonMulti-object trackers in Python
Access the most powerful time series database as a service
Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
Do you think we are missing an alternative of OpenCV or a related project?
OpenCV: Open Source Computer Vision Library
- Homepage: https://opencv.org
- Courses: https://opencv.org/courses
- Docs: https://docs.opencv.org/4.x/
- Q&A forum: https://forum.opencv.org
- previous forum (read only): http://answers.opencv.org
- Issue tracking: https://github.com/opencv/opencv/issues
- Additional OpenCV functionality: https://github.com/opencv/opencv_contrib
Please read the contribution guidelines before starting work on a pull request.
Summary of the guidelines:
- One pull request per issue;
- Choose the right base branch;
- Include tests and documentation;
- Clean up "oops" commits before submitting;
- Follow the coding style guide.