bb458aa924
- Remove legacy_tasks.py, hybrid_state.py, render.py - Remove old task modules (analyze, execute, execute_sexp, orchestrate) - Add streaming interpreter from test repo - Add sexp_effects with primitives and video effects - Add streaming Celery task with CID-based asset resolution - Support both CID and friendly name references for assets - Add .dockerignore to prevent local clones from conflicting Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
117 lines
3.3 KiB
Python
117 lines
3.3 KiB
Python
"""
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Blending Primitives Library
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Image blending and compositing operations.
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"""
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import numpy as np
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def prim_blend_images(a, b, alpha):
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"""Blend two images: a * (1-alpha) + b * alpha."""
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alpha = max(0.0, min(1.0, alpha))
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return (a.astype(float) * (1 - alpha) + b.astype(float) * alpha).astype(np.uint8)
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def prim_blend_mode(a, b, mode):
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"""Blend using Photoshop-style blend modes."""
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a = a.astype(float) / 255
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b = b.astype(float) / 255
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if mode == "multiply":
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result = a * b
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elif mode == "screen":
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result = 1 - (1 - a) * (1 - b)
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elif mode == "overlay":
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mask = a < 0.5
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result = np.where(mask, 2 * a * b, 1 - 2 * (1 - a) * (1 - b))
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elif mode == "soft-light":
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mask = b < 0.5
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result = np.where(mask,
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a - (1 - 2 * b) * a * (1 - a),
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a + (2 * b - 1) * (np.sqrt(a) - a))
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elif mode == "hard-light":
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mask = b < 0.5
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result = np.where(mask, 2 * a * b, 1 - 2 * (1 - a) * (1 - b))
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elif mode == "color-dodge":
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result = np.clip(a / (1 - b + 0.001), 0, 1)
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elif mode == "color-burn":
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result = 1 - np.clip((1 - a) / (b + 0.001), 0, 1)
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elif mode == "difference":
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result = np.abs(a - b)
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elif mode == "exclusion":
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result = a + b - 2 * a * b
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elif mode == "add":
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result = np.clip(a + b, 0, 1)
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elif mode == "subtract":
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result = np.clip(a - b, 0, 1)
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elif mode == "darken":
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result = np.minimum(a, b)
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elif mode == "lighten":
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result = np.maximum(a, b)
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else:
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# Default to normal (just return b)
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result = b
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return (result * 255).astype(np.uint8)
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def prim_mask(img, mask_img):
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"""Apply grayscale mask to image (white=opaque, black=transparent)."""
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if len(mask_img.shape) == 3:
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mask = mask_img[:, :, 0].astype(float) / 255
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else:
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mask = mask_img.astype(float) / 255
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mask = mask[:, :, np.newaxis]
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return (img.astype(float) * mask).astype(np.uint8)
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def prim_alpha_composite(base, overlay, alpha_channel):
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"""Composite overlay onto base using alpha channel."""
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if len(alpha_channel.shape) == 3:
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alpha = alpha_channel[:, :, 0].astype(float) / 255
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else:
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alpha = alpha_channel.astype(float) / 255
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alpha = alpha[:, :, np.newaxis]
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result = base.astype(float) * (1 - alpha) + overlay.astype(float) * alpha
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return result.astype(np.uint8)
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def prim_overlay(base, overlay, x, y, alpha=1.0):
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"""Overlay image at position (x, y) with optional alpha."""
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result = base.copy()
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x, y = int(x), int(y)
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oh, ow = overlay.shape[:2]
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bh, bw = base.shape[:2]
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# Clip to bounds
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sx1 = max(0, -x)
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sy1 = max(0, -y)
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dx1 = max(0, x)
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dy1 = max(0, y)
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sx2 = min(ow, bw - x)
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sy2 = min(oh, bh - y)
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if sx2 > sx1 and sy2 > sy1:
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src = overlay[sy1:sy2, sx1:sx2]
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dst = result[dy1:dy1+(sy2-sy1), dx1:dx1+(sx2-sx1)]
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blended = (dst.astype(float) * (1 - alpha) + src.astype(float) * alpha)
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result[dy1:dy1+(sy2-sy1), dx1:dx1+(sx2-sx1)] = blended.astype(np.uint8)
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return result
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PRIMITIVES = {
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# Basic blending
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'blend-images': prim_blend_images,
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'blend-mode': prim_blend_mode,
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# Masking
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'mask': prim_mask,
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'alpha-composite': prim_alpha_composite,
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# Overlay
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'overlay': prim_overlay,
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}
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