Software Alternatives & Reviews

Top 5 Python libraries for Computer vision

PyTorch OpenCV Tesseract Dlib
  1. Open source deep learning platform that provides a seamless path from research prototyping to...
    Pricing:
    • Open Source
    Kornia - Kornia is a differentiable computer vision library for PyTorch. It consists of a set of routines and differentiable modules to solve generic computer vision problems. At its core, the package uses PyTorch as its main backend both for efficiency and to take advantage of the reverse-mode auto-differentiation to define and compute the gradient of complex functions.

    #Data Science And Machine Learning #Data Science Tools #AI 106 social mentions

  2. 2
    OpenCV is the world's biggest computer vision library
    Pricing:
    • Open Source
    OpenCV open Source Computer Vision Library. OpenCV(Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code.

    #Data Science And Machine Learning #Data Science Tools #Computer Vision 50 social mentions

  3. Tesseract is an optical character recognition engine for various operating systems
    Pytesseract - Python-tesseract is an optical character recognition (OCR) tool for python. That is, it will recognize and "read" the text embedded in images. Python-tesseract is a wrapper for Google's Tesseract-OCR Engine. It is also useful as a stand-alone invocation script to tesseract, as it can read all image types supported by the Pillow and Leptonica imaging libraries, including jpeg, png, gif, bmp, tiff, and others. Additionally, if used as a script, Python-tesseract will print the recognized text instead of writing it to a file.

    #OCR #Image Recognition #PDF Editor 72 social mentions

  4. 4
    Dlib is a modern C++ toolkit containing machine learning algorithms & tools for creating complex software in C++ to solve real world problem
    Pricing:
    • Open Source
    Face Recognition - Simple facial recognition library. Recognize and manipulate faces from Python or from the command line with the world's simplest face recognition library. Built using dlib's state-of-the-art face recognition built with deep learning. The model has an accuracy of 99.38% on the Labeled Faces in the Wild benchmark.

    #Data Science And Machine Learning #Data Science Tools #Python Tools 17 social mentions

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