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Top 8 Image-Processing Python Libraries Used in Machine Learning

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  1. OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer...

    How can I open an image, then iterate through the images... about 5 days ago

    Everything you describe can be done rather simply with opencv.
  2. scikit-image is a collection of algorithms for image processing.

    Is it possible to add a noise to an image in python? about 4 months ago

    This is a good cv deep learning book with python examples If you're pretty comfortable with the concepts of traditional image processing this is a good companion to cv2 (so you don't have to reinvent the wheel)
  3. SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering. 

    5 Open-Source Deep Learning Python Tools for Imaging... about 6 months ago:

    I mean scientific-grade Python libraries like etc, which exist for about 10 years (your comment may be ok in 2001, but now it's a bit outdated;).
  4. The friendly PIL fork (Python Imaging Library). Contribute to python-pillow/Pillow development by creating an account on GitHub.

  5. NumPy is the fundamental package for scientific computing with Python

    What projects / addons / libraries are you missing in 4.0? about about 1 month ago

    Fast and generic matrix / linear algebra library, like what numpy is to Python.
  6. Mahotas is a computer vision and image processing library for Python.

  7. ITK is an open-source, cross-platform library that provides developers with an extensive suite of software tools for image analysis.

    Create Elegant C++ Spatial Processing Pipelines in WebAssembly about about 2 months ago:

    The itkImage.h header is ITK's standard n-dimensional image data structure.
  8. Yet Another Python wrapper for GraphicsMagick