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Are there better alternatives to PIL (Python Imaging Library) for basic image file I/O and processing in Python?
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OpenCV is written in C and C++ whereas PIL is written using Python and C, hence just from this information, OpenCV seems faster. While dealing with 1000s of images for data extraction, the processing speed 🚀 matters.
Pillow was announced as a replacement for PIL for future usage. Pillow supports a large number of image file formats including BMP, PNG, JPEG, and TIFF. The library encourages adding support for newer formats in the library by creating new file decoders.
Most of cases, cv2 method is faster than pil one.
PIL is the Python Imaging Library which provides the python interpreter with image editing capabilities. The Image module provides a class with the same name which is used to represent a PIL image.
Try Pillow: http://pypi.python.org/pypi/Pillow
It's a fork of PIL but maintained by Plone community. Which is great as it is being maintained (in comparison to it's predecessor) and it is backward compatible with PIL. Existing code will work out of the box with Pillow.
They mostly focus on packaging issues and AFAIK this was the biggest pain with PIL.
Good luck!
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