init
This commit is contained in:
deng
15
.gitignore
vendored
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15
.gitignore
vendored
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# Python-generated files
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__pycache__/
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*.py[oc]
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build/
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dist/
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wheels/
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*.egg-info
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# Virtual environments
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.venv
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.DS_Store
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*.png
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*.jpg
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*.bmp
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1
.python-version
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1
.python-version
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3.13
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20
pyproject.toml
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20
pyproject.toml
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[project]
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name = "waveshare-e6-image-processor"
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version = "0.1.0"
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description = "Process images for Waveshare E6 display"
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readme = "README.md"
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requires-python = ">=3.13"
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dependencies = ["pillow>=12.1.1"]
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[dependency-groups]
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dev = ["ruff"]
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[tool.ruff]
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line-length = 150
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target-version = "py313"
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[tool.ruff.lint]
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select = ["E", "F", "I"]
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[tool.ruff.format]
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quote-style = "single"
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133
src/new_convert.py
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133
src/new_convert.py
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# new_convert.py
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#
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# author: deng
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# date : 20260321
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import argparse
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from pathlib import Path
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from PIL import Image, ImageEnhance, ImageOps
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# E Ink Spectra 6 six basic ink colors: Black, White, Red, Green, Blue, Yellow
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SPECTRA6_PALETTE = [
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0, 0, 0,
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255, 255, 255,
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255, 0, 0,
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0, 255, 0,
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0, 0, 255,
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255, 255, 0
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]
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# Pad the palette to 256 colors (required by PIL), fill the rest with 0
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SPECTRA6_PALETTE += [0] * (256 * 3 - len(SPECTRA6_PALETTE))
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def create_spectra_palette():
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"""Create a reference image with the Spectra 6 palette."""
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pal_img = Image.new('P', (1, 1))
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pal_img.putpalette(SPECTRA6_PALETTE)
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return pal_img
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def apply_epaper_gamma_correction(img, gamma=1.2):
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"""
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Apply E-paper specific Gamma correction.
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Since e-paper is non-emissive, dark areas tend to blend together.
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This function brightens the midtones to rescue dark details.
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"""
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# Convert Gamma value to a lookup table for the PIL point function
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inv_gamma = 1.0 / gamma
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table = [int((i / 255.0) ** inv_gamma * 255) for i in range(256)]
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# Separate RGB channels and apply correction
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if img.mode == 'RGB':
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r, g, b = img.split()
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r = r.point(table)
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g = g.point(table)
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b = b.point(table)
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return Image.merge('RGB', (r, g, b))
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return img.point(table)
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def optimize_image(img, mode):
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"""Apply extreme color compensation based on the selected mode to offset physical e-paper attenuation."""
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# Apply base Gamma brightening for all color images before conversion
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img = apply_epaper_gamma_correction(img, gamma=1.3)
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if mode == 'normal':
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# Normal mode: Boost saturation and contrast globally
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img = ImageEnhance.Color(img).enhance(1.5) # Significantly increase vibrance
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img = ImageEnhance.Contrast(img).enhance(1.2) # Strengthen light/dark contrast
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img = ImageEnhance.Brightness(img).enhance(1.1) # Slightly brighten overall
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elif mode == 'portrait':
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# Portrait mode: Protect skin tones. Brighten faces, but limit saturation.
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img = ImageEnhance.Brightness(img).enhance(1.2) # Faces must be bright enough
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img = ImageEnhance.Color(img).enhance(1.2) # Moderately increase color
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img = ImageEnhance.Contrast(img).enhance(1.05) # Maintain soft transitions
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elif mode == 'landscape':
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# Landscape mode: Maximize greens, blues, and 3D depth
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img = ImageEnhance.Color(img).enhance(1.8) # Extreme vibrance for mountains and skies
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img = ImageEnhance.Contrast(img).enhance(1.4) # Strong contrast for ridges and clouds
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img = ImageEnhance.Sharpness(img).enhance(2.0) # Sharpen edge details
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return img
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def main():
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parser = argparse.ArgumentParser(description='Spectra 6 E-Paper Image Conversion Engine')
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parser.add_argument('--img_path', type=str, required=True, help='Path to the original photo (e.g., my_photo.jpg)')
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parser.add_argument(
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'--color', type=str, choices=['rgb', 'bw'], required=True, help="Color mode: 'rgb' (Full color Spectra 6) or 'bw' (Pure black and white)"
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)
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parser.add_argument(
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'--mode',
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type=str,
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choices=['normal', 'portrait', 'landscape'],
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default='normal',
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help="Optimization mode: 'normal', 'portrait', 'landscape'. Ignored if color is 'bw'.",
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)
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parser.add_argument('--width', type=int, default=800, help='E-paper width (default: 800)')
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parser.add_argument('--height', type=int, default=480, help='E-paper height (default: 480)')
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parser.add_argument('--out', type=str, default=None, help='Custom output filename (default: auto-generated)')
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args = parser.parse_args()
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img_path = Path(args.img_path)
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if not img_path.exists():
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raise FileNotFoundError(f'Error: Image file not found: {img_path}')
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print(f'Processing: {img_path}')
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img = Image.open(img_path).convert('RGB')
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# 1. Smart crop and resize to fill the frame
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img = ImageOps.fit(img, (args.width, args.height), Image.Resampling.LANCZOS)
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# Generate automatic filename if not provided
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output_name = Path(args.out) if args.out else img_path.with_name(f'{img_path.stem}_{args.color}_{args.mode}.bmp')
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# 2. Core conversion logic
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if args.color == 'rgb':
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print(f'Applying color optimization mode: {args.mode}')
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img_optimized = optimize_image(img, args.mode)
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pal_img = create_spectra_palette()
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# Convert and apply Floyd-Steinberg dithering, then back to 24-bit RGB
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# Waveshare e-paper frames only recognize 24-bit RGB BMP files
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final_img = img_optimized.quantize(palette=pal_img, dither=Image.FLOYDSTEINBERG).convert('RGB')
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elif args.color == 'bw':
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print(f'Applying pure black and white mode (ignoring optimization mode: {args.mode})')
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# Black and white mode only needs basic contrast stretching
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img_bw = ImageEnhance.Contrast(img).enhance(1.5)
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final_img = img_bw.convert('1').convert('RGB')
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# 3. Save file (24-bit RGB BMP, required by Waveshare e-paper frames)
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final_img.save(output_name)
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print(f'Success! Image saved as: {output_name}')
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if __name__ == '__main__':
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main()
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100
src/official_convert.py
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100
src/official_convert.py
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#encoding: utf-8
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import argparse
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import os.path
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import sys
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from PIL import Image, ImageOps
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# Create an ArgumentParser object
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parser = argparse.ArgumentParser(description='Process some images.')
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# Add orientation parameter
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parser.add_argument('image_file', type=str, help='Input image file')
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parser.add_argument('--dir', choices=['landscape', 'portrait'], help='Image direction (landscape or portrait)')
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parser.add_argument('--mode', choices=['scale', 'cut'], default='scale', help='Image conversion mode (scale or cut)')
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parser.add_argument(
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'--dither',
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type=int,
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choices=[Image.NONE, Image.FLOYDSTEINBERG],
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default=Image.FLOYDSTEINBERG,
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help='Image dithering algorithm (NONE(0) or FLOYDSTEINBERG(3))'
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)
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# Parse command line arguments
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args = parser.parse_args()
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# Get input parameter
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input_filename = args.image_file
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display_direction = args.dir
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display_mode = args.mode
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display_dither = Image.Dither(args.dither)
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# Check whether the input file exists
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if not os.path.isfile(input_filename):
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print(f'Error: file {input_filename} does not exist')
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sys.exit(1)
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# Read input image
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input_image = Image.open(input_filename)
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# Get the original image size
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width, height = input_image.size
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# Specified target size
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if display_direction:
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if display_direction == 'landscape':
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target_width, target_height = 800, 480
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else:
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target_width, target_height = 480, 800
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else:
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if width > height:
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target_width, target_height = 800, 480
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else:
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target_width, target_height = 480, 800
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if display_mode == 'scale':
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# Computed scaling
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scale_ratio = max(target_width / width, target_height / height)
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# Calculate the size after scaling
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resized_width = int(width * scale_ratio)
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resized_height = int(height * scale_ratio)
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# Resize image
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output_image = input_image.resize((resized_width, resized_height))
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# Create the target image and center the resized image
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resized_image = Image.new('RGB', (target_width, target_height), (255, 255, 255))
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left = (target_width - resized_width) // 2
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top = (target_height - resized_height) // 2
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resized_image.paste(output_image, (left, top))
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|
elif display_mode == 'cut':
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# Calculate the fill size to add or the area to crop
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|
if width / height >= target_width / target_height:
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# The image aspect ratio is larger than the target aspect ratio, and padding needs to be added on the left and right
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|
delta_width = int(height * target_width / target_height - width)
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|
padding = (delta_width // 2, 0, delta_width - delta_width // 2, 0)
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||||||
|
box = (0, 0, width, height)
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|
else:
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||||||
|
# The image aspect ratio is smaller than the target aspect ratio and needs to be filled up and down
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|
delta_height = int(width * target_height / target_width - height)
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|
padding = (0, delta_height // 2, 0, delta_height - delta_height // 2)
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|
box = (0, 0, width, height)
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||||||
|
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|
resized_image = ImageOps.pad(input_image.crop(box), size=(target_width, target_height), color=(255, 255, 255), centering=(0.5, 0.5))
|
||||||
|
|
||||||
|
|
||||||
|
# Create a palette object
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||||||
|
pal_image = Image.new("P", (1,1))
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||||||
|
pal_image.putpalette( (0,0,0, 255,255,255, 255,255,0, 255,0,0, 0,0,0, 0,0,255, 0,255,0) + (0,0,0)*249)
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||||||
|
|
||||||
|
# The color quantization and dithering algorithms are performed, and the results are converted to RGB mode
|
||||||
|
quantized_image = resized_image.quantize(dither=display_dither, palette=pal_image).convert('RGB')
|
||||||
|
|
||||||
|
# Save output image
|
||||||
|
output_filename = os.path.splitext(input_filename)[0] + '_' + display_mode + '_output.bmp'
|
||||||
|
quantized_image.save(output_filename)
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||||||
|
|
||||||
|
print(f'Successfully converted {input_filename} to {output_filename}')
|
||||||
|
|
||||||
105
uv.lock
generated
Normal file
105
uv.lock
generated
Normal file
@ -0,0 +1,105 @@
|
|||||||
|
version = 1
|
||||||
|
revision = 3
|
||||||
|
requires-python = ">=3.13"
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "pillow"
|
||||||
|
version = "12.1.1"
|
||||||
|
source = { registry = "https://pypi.org/simple" }
|
||||||
|
sdist = { url = "https://files.pythonhosted.org/packages/1f/42/5c74462b4fd957fcd7b13b04fb3205ff8349236ea74c7c375766d6c82288/pillow-12.1.1.tar.gz", hash = "sha256:9ad8fa5937ab05218e2b6a4cff30295ad35afd2f83ac592e68c0d871bb0fdbc4", size = 46980264, upload-time = "2026-02-11T04:23:07.146Z" }
|
||||||
|
wheels = [
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/d5/11/6db24d4bd7685583caeae54b7009584e38da3c3d4488ed4cd25b439de486/pillow-12.1.1-cp313-cp313-ios_13_0_arm64_iphoneos.whl", hash = "sha256:d242e8ac078781f1de88bf823d70c1a9b3c7950a44cdf4b7c012e22ccbcd8e4e", size = 4062689, upload-time = "2026-02-11T04:21:06.804Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/33/c0/ce6d3b1fe190f0021203e0d9b5b99e57843e345f15f9ef22fcd43842fd21/pillow-12.1.1-cp313-cp313-ios_13_0_arm64_iphonesimulator.whl", hash = "sha256:02f84dfad02693676692746df05b89cf25597560db2857363a208e393429f5e9", size = 4138535, upload-time = "2026-02-11T04:21:08.452Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/a0/c6/d5eb6a4fb32a3f9c21a8c7613ec706534ea1cf9f4b3663e99f0d83f6fca8/pillow-12.1.1-cp313-cp313-ios_13_0_x86_64_iphonesimulator.whl", hash = "sha256:e65498daf4b583091ccbb2556c7000abf0f3349fcd57ef7adc9a84a394ed29f6", size = 3601364, upload-time = "2026-02-11T04:21:10.194Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/14/a1/16c4b823838ba4c9c52c0e6bbda903a3fe5a1bdbf1b8eb4fff7156f3e318/pillow-12.1.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:6c6db3b84c87d48d0088943bf33440e0c42370b99b1c2a7989216f7b42eede60", size = 5262561, upload-time = "2026-02-11T04:21:11.742Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/bb/ad/ad9dc98ff24f485008aa5cdedaf1a219876f6f6c42a4626c08bc4e80b120/pillow-12.1.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:8b7e5304e34942bf62e15184219a7b5ad4ff7f3bb5cca4d984f37df1a0e1aee2", size = 4657460, upload-time = "2026-02-11T04:21:13.786Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/9e/1b/f1a4ea9a895b5732152789326202a82464d5254759fbacae4deea3069334/pillow-12.1.1-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:18e5bddd742a44b7e6b1e773ab5db102bd7a94c32555ba656e76d319d19c3850", size = 6232698, upload-time = "2026-02-11T04:21:15.949Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/95/f4/86f51b8745070daf21fd2e5b1fe0eb35d4db9ca26e6d58366562fb56a743/pillow-12.1.1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:fc44ef1f3de4f45b50ccf9136999d71abb99dca7706bc75d222ed350b9fd2289", size = 8041706, upload-time = "2026-02-11T04:21:17.723Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/29/9b/d6ecd956bb1266dd1045e995cce9b8d77759e740953a1c9aad9502a0461e/pillow-12.1.1-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5a8eb7ed8d4198bccbd07058416eeec51686b498e784eda166395a23eb99138e", size = 6346621, upload-time = "2026-02-11T04:21:19.547Z" },
|
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{ url = "https://files.pythonhosted.org/packages/ab/10/12586735d0ff42526ad78c049bf51d7428618c8b5c467e72508c694119df/ruff-0.15.7-py3-none-macosx_11_0_arm64.whl", hash = "sha256:7fbc2448094262552146cbe1b9643a92f66559d3761f1ad0656d4991491af49e", size = 10269302, upload-time = "2026-03-19T16:26:26.183Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/eb/5d/32b5c44ccf149a26623671df49cbfbd0a0ae511ff3df9d9d2426966a8d57/ruff-0.15.7-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6b39329b60eba44156d138275323cc726bbfbddcec3063da57caa8a8b1d50adf", size = 10607625, upload-time = "2026-03-19T16:27:03.263Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/5d/f1/f0001cabe86173aaacb6eb9bb734aa0605f9a6aa6fa7d43cb49cbc4af9c9/ruff-0.15.7-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:87768c151808505f2bfc93ae44e5f9e7c8518943e5074f76ac21558ef5627c85", size = 10324743, upload-time = "2026-03-19T16:27:09.791Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/7a/87/b8a8f3d56b8d848008559e7c9d8bf367934d5367f6d932ba779456e2f73b/ruff-0.15.7-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:fb0511670002c6c529ec66c0e30641c976c8963de26a113f3a30456b702468b0", size = 11138536, upload-time = "2026-03-19T16:27:06.101Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/e4/f2/4fd0d05aab0c5934b2e1464784f85ba2eab9d54bffc53fb5430d1ed8b829/ruff-0.15.7-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e0d19644f801849229db8345180a71bee5407b429dd217f853ec515e968a6912", size = 11994292, upload-time = "2026-03-19T16:26:48.718Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/64/22/fc4483871e767e5e95d1622ad83dad5ebb830f762ed0420fde7dfa9d9b08/ruff-0.15.7-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4806d8e09ef5e84eb19ba833d0442f7e300b23fe3f0981cae159a248a10f0036", size = 11398981, upload-time = "2026-03-19T16:26:54.513Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/b0/99/66f0343176d5eab02c3f7fcd2de7a8e0dd7a41f0d982bee56cd1c24db62b/ruff-0.15.7-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dce0896488562f09a27b9c91b1f58a097457143931f3c4d519690dea54e624c5", size = 11242422, upload-time = "2026-03-19T16:26:29.277Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/5d/3a/a7060f145bfdcce4c987ea27788b30c60e2c81d6e9a65157ca8afe646328/ruff-0.15.7-py3-none-manylinux_2_31_riscv64.whl", hash = "sha256:1852ce241d2bc89e5dc823e03cff4ce73d816b5c6cdadd27dbfe7b03217d2a12", size = 11232158, upload-time = "2026-03-19T16:26:42.321Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/a7/53/90fbb9e08b29c048c403558d3cdd0adf2668b02ce9d50602452e187cd4af/ruff-0.15.7-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:5f3e4b221fb4bd293f79912fc5e93a9063ebd6d0dcbd528f91b89172a9b8436c", size = 10577861, upload-time = "2026-03-19T16:26:57.459Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/2f/aa/5f486226538fe4d0f0439e2da1716e1acf895e2a232b26f2459c55f8ddad/ruff-0.15.7-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:b15e48602c9c1d9bdc504b472e90b90c97dc7d46c7028011ae67f3861ceba7b4", size = 10327310, upload-time = "2026-03-19T16:26:35.909Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/99/9e/271afdffb81fe7bfc8c43ba079e9d96238f674380099457a74ccb3863857/ruff-0.15.7-py3-none-musllinux_1_2_i686.whl", hash = "sha256:1b4705e0e85cedc74b0a23cf6a179dbb3df184cb227761979cc76c0440b5ab0d", size = 10840752, upload-time = "2026-03-19T16:26:45.723Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/bf/29/a4ae78394f76c7759953c47884eb44de271b03a66634148d9f7d11e721bd/ruff-0.15.7-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:112c1fa316a558bb34319282c1200a8bf0495f1b735aeb78bfcb2991e6087580", size = 11336961, upload-time = "2026-03-19T16:26:39.076Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/26/6b/8786ba5736562220d588a2f6653e6c17e90c59ced34a2d7b512ef8956103/ruff-0.15.7-py3-none-win32.whl", hash = "sha256:6d39e2d3505b082323352f733599f28169d12e891f7dd407f2d4f54b4c2886de", size = 10582538, upload-time = "2026-03-19T16:26:15.992Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/2b/e9/346d4d3fffc6871125e877dae8d9a1966b254fbd92a50f8561078b88b099/ruff-0.15.7-py3-none-win_amd64.whl", hash = "sha256:4d53d712ddebcd7dace1bc395367aec12c057aacfe9adbb6d832302575f4d3a1", size = 11755839, upload-time = "2026-03-19T16:26:19.897Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/8f/e8/726643a3ea68c727da31570bde48c7a10f1aa60eddd628d94078fec586ff/ruff-0.15.7-py3-none-win_arm64.whl", hash = "sha256:18e8d73f1c3fdf27931497972250340f92e8c861722161a9caeb89a58ead6ed2", size = 11023304, upload-time = "2026-03-19T16:26:51.669Z" },
|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "waveshare-e6-image-processor"
|
||||||
|
version = "0.1.0"
|
||||||
|
source = { virtual = "." }
|
||||||
|
dependencies = [
|
||||||
|
{ name = "pillow" },
|
||||||
|
]
|
||||||
|
|
||||||
|
[package.dev-dependencies]
|
||||||
|
dev = [
|
||||||
|
{ name = "ruff" },
|
||||||
|
]
|
||||||
|
|
||||||
|
[package.metadata]
|
||||||
|
requires-dist = [{ name = "pillow", specifier = ">=12.1.1" }]
|
||||||
|
|
||||||
|
[package.metadata.requires-dev]
|
||||||
|
dev = [{ name = "ruff" }]
|
||||||
Reference in New Issue
Block a user