kopia lustrzana https://github.com/pimoroni/pimoroni-pico
56 wiersze
1.9 KiB
Python
Executable File
56 wiersze
1.9 KiB
Python
Executable File
#!/usr/bin/env python3
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# converts images into a format suitable for display on badger2040. this
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# includes scaling the image fit the longest edge, cropping down to 296x128
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# and reducing to black and white with dither. the data is then output as an
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# array that can be embedded directly into your c++ code
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import argparse
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import sys
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from PIL import Image, ImageEnhance
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from pathlib import Path
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parser = argparse.ArgumentParser(description='Converts images into the format used by Badger2040.')
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parser.add_argument('file', nargs="+", help='input files to convert')
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parser.add_argument('--binary', action="store_true", help='output binary file for MicroPython')
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parser.add_argument('--resize', action="store_true", help='force images to 296x128 pixels')
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options = parser.parse_args()
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def convert_image(img):
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if options.resize:
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img = img.resize((296, 128)) # resize
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enhancer = ImageEnhance.Contrast(img)
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img = enhancer.enhance(2.0)
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img = img.convert("1") # convert to black and white
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return img
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# create map of images based on input filenames
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for input_filename in options.file:
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with Image.open(input_filename) as img:
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img = convert_image(img)
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image_name = Path(input_filename).stem
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w, h = img.size
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output_data = [~b & 0xff for b in list(img.tobytes())]
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if options.binary:
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output_filename = Path(input_filename).with_suffix(".bin")
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print(f"Saving to {output_filename}, {w}x{h}")
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with open(output_filename, "wb") as out:
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out.write(bytearray(output_data))
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else:
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image_code = '''\
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static const uint8_t {image_name}[{count}] = {{
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{byte_data}
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}};
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'''.format(image_name=image_name, count=len(output_data), byte_data=", ".join(str(b) for b in output_data))
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print(image_code)
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