Bahn: aisupport, Analyse-O2C-C2S, awesome-bahn-mcp-servers, beam-mcp,
Confluence_Bot, db-planet-mcp-server, O2C-Harness, project-audit,
Projekt-KIQ-HP, teamlandkarte-mcp
Dhive: Jury-Voting
Privat: CV, NoteGraph (NOTE: NoteGraph needs complete redo after consolidation)
Shared: AI-Orchestrator, OrgMyLife, power_skills_and_more
Shared/references: symphony (read-only)
Bahn repos remain available as independent remotes - this monorepo
pulls them in via subtree, the originals are untouched.
41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
from PIL import Image, ImageSequence
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import imageio
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import numpy as np
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import sys
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def convert_webp_to_mp4(webp_path, mp4_path, fps=30):
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try:
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# Load the Animated WebP
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img = Image.open(webp_path)
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frames = []
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for frame in ImageSequence.Iterator(img):
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# Convert to RGB, as MP4 (H264) does not support RGBA seamlessly without special pixel formats
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# and imageio handles RGB best
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frame = frame.convert('RGB')
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arr = np.array(frame)
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# Ensure even dimensions for h264 encoder
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h, w = arr.shape[:2]
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h = h - (h % 2)
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w = w - (w % 2)
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frames.append(arr[:h, :w, :])
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if not frames:
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print("No frames found in the image.")
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return
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# Write to MP4 using imageio
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writer = imageio.get_writer(mp4_path, fps=fps, macro_block_size=None)
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for frame in frames:
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writer.append_data(imageio.core.image_as_uint(frame))
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writer.close()
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print(f"Successfully converted {len(frames)} frames to {mp4_path}")
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except Exception as e:
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print(f"Error during conversion: {e}")
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if __name__ == "__main__":
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if len(sys.argv) < 3:
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print("Usage: python convert.py input.webp output.mp4")
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else:
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convert_webp_to_mp4(sys.argv[1], sys.argv[2])
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