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User Guide¶

  • Getting started
  • A crash course on NumPy for images
    • NumPy indexing
    • Color images
    • Coordinate conventions
    • Notes on array order
    • A note on time
  • Image data types and what they mean
    • Input types
    • Output types
    • Working with OpenCV
    • Image processing pipeline
    • Rescaling intensity values
    • Note about negative values
    • References
  • Image adjustment: transforming image content
    • Color manipulation
    • Contrast and exposure
  • I/O Plugin Infrastructure
  • Handling Video Files
    • A Workaround: Convert the Video to an Image Sequence
    • PyAV
    • Adding Random Access to PyAV
    • MoviePy
    • Imageio
    • OpenCV
  • Tutorials
    • Image Segmentation
    • How to parallelize loops
  • Getting help on using skimage
    • Examples gallery
    • Search field
    • Docstrings
    • Mailing-list
  • Image Viewer
    • Quick Start
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