406cc7c0c7
Add S-expression based video effects pipeline with modular effect definitions, constructs, and recipe files. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
53 lines
1.2 KiB
Python
53 lines
1.2 KiB
Python
# /// script
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# requires-python = ">=3.10"
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# dependencies = ["numpy"]
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# ///
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"""
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@effect contrast
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@version 1.0.0
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@author artdag
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@description
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Adjusts contrast by scaling pixel values around the midpoint (128).
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Higher values increase contrast, lower values flatten the image.
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@param factor float
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@range 0 3
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@default 1.0
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Contrast multiplier. 0.5 = low contrast, 1 = unchanged, 2 = high contrast.
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@example
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(effect contrast :factor 1.5)
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@example
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;; Dramatic contrast on energy peaks
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(effect contrast :factor (bind energy :range [1.0 2.0]))
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"""
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import numpy as np
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def process_frame(frame: np.ndarray, params: dict, state: dict) -> tuple:
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"""
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Adjust contrast of a video frame.
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Args:
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frame: Input frame as numpy array (H, W, 3) RGB uint8
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params: Effect parameters
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- factor: contrast multiplier (default 1.0)
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state: Persistent state dict (unused)
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Returns:
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Tuple of (processed_frame, new_state)
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"""
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factor = params.get("factor", 1.0)
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if factor == 1.0:
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return frame, state
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# Adjust contrast around midpoint (128)
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img_float = frame.astype(np.float32)
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result = 128 + factor * (img_float - 128)
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return np.clip(result, 0, 255).astype(np.uint8), state
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