pypindou.image

Image preprocessing and quantization APIs.

The image package contains low-level helpers used by pypindou.pattern.generate_pattern(). Most users should call the high-level pattern API directly, while application code can import this package to build custom preprocessing, quantization, and benchmarking flows.

• pypindou.image.preprocess
  • FitMode
    • FitMode
  • BackgroundMode
    • BackgroundMode
  • ResampleMode
    • ResampleMode
  • PreprocessMode
    • PreprocessMode
  • load_image
    • load_image()
  • resize_image
    • resize_image()
  • enhance_image
    • enhance_image()
  • prefilter_image
    • prefilter_image()
  • remove_background_by_alpha
    • remove_background_by_alpha()
  • rgba_to_rgb_array
    • rgba_to_rgb_array()
• pypindou.image.quantize
  • QuantizeMethod
    • QuantizeMethod
  • CleanupMode
    • CleanupMode
  • QuantizationResult
    • QuantizationResult
  • nearest_indices
    • nearest_indices()
  • reduce_palette_for_image
    • reduce_palette_for_image()
  • cleanup_quantization
    • cleanup_quantization()
  • merge_small_regions
    • merge_small_regions()
  • quantize_image
    • quantize_image()

__all__

pypindou.image.__all__ = ['BackgroundMode', 'CleanupMode', 'FitMode', 'PreprocessMode', 'QuantizationResult', 'QuantizeMethod', 'ResampleMode', 'cleanup_quantization', 'enhance_image', 'load_image', 'merge_small_regions', 'prefilter_image', 'quantize_image', 'reduce_palette_for_image', 'remove_background_by_alpha', 'resize_image', 'rgba_to_rgb_array']

Built-in mutable sequence.

If no argument is given, the constructor creates a new empty list. The argument must be an iterable if specified.