Image processing #16
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Image processing #16
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This is memory efficient enough to operate on 240x208 pixel images. (An earlier iteration which used float32s was not) Typically an algorithm takes 1 to 4 seconds to run on an image. Channel operations such as solarize are faster, while convolution operations like sharpen are slower. A range of algorithms are provided and there are building blocks to create others.
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Effects demo. The video is sped up. PXL_20240105_012411687.2.mp4 |
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an idea of the timings involved: |
np.minimum / maximum are surprisingly slow!
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👋 Thanks for this pull request! Unfortunately, it looks like the automated continuous integration (CI) test(s) failed. These can be tricky to fix so we've written a guide on how to fix them locally. It has pages about running pre-commit locally and another about building the docs locally with sphinx. Thanks for contributing to CircuitPython! If you have more questions, feel free to join the Adafruit Discord and post in #circuitpython-dev. |
tekktrik
approved these changes
Jan 10, 2024
a non-default mock of displayio.Bitmap is provided for doc building
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Jan 27, 2024
Updating https://github.com/adafruit/Adafruit_CircuitPython_PyCamera to 0.0.8 from 0.0.7: > Merge pull request adafruit/Adafruit_CircuitPython_PyCamera#16 from adafruit/image-processing Updating https://github.com/adafruit/Adafruit_CircuitPython_Bundle/circuitpython_library_list.md to NA from NA: > Updated download stats for the libraries
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Now image wizards can do operations like sharpen & edge detect on image data in RAM. It only takes seconds and seconds.