Esa Kataja
682a1f13ee
- Handle transparency in whitespace trimming - Use IntEnum for optimization levels - Add proper level comparisons - Treat transparent pixels as white for boundary detection - Preserve transparency in output - Fix black artifacts in transparent areas
35 lines
1.3 KiB
Python
35 lines
1.3 KiB
Python
"""Configuration settings for the PDF Musical Score Cleaner."""
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import os
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import multiprocessing
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from enum import IntEnum
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class OptimizationLevel(IntEnum):
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"""Optimization levels for image processing.
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Levels:
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1: Only trim whitespace
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2: Trim + convert to 1-bit monochrome
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3: All optimizations + optipng
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"""
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TRIM = 1 # Only trim whitespace
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MONOCHROME = 2 # Trim + convert to 1-bit monochrome
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FULL = 3 # All optimizations + optipng
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# Number of parallel processes to use for operations that support parallelization
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# Defaults to number of CPU cores - 1, but never less than 1
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DEFAULT_PARALLEL_PROCESSES = max(1, multiprocessing.cpu_count() - 1)
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# Can be overridden by environment variable
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PARALLEL_PROCESSES = int(os.getenv('NOTES_CLEANER_PARALLEL_PROCESSES', DEFAULT_PARALLEL_PROCESSES))
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# Optimization settings
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OPTIPNG_OPTIMIZATION_LEVEL = int(os.getenv('NOTES_CLEANER_OPTIPNG_LEVEL', '7')) # 0-7, higher = better compression but slower
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TRIM_PADDING_PIXELS = int(os.getenv('NOTES_CLEANER_TRIM_PADDING', '20')) # Padding around content after trimming
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# Image processing settings
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MONOCHROME_THRESHOLD = int(os.getenv('NOTES_CLEANER_MONO_THRESHOLD', '200')) # 0-255, higher = more white
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# Temporary directory settings
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TEMP_DIR_PREFIX = 'notes_cleaner_'
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