Live Photo转表情动图的编程实现与工具应用指南

pip install pillow ffmpeg-python

import os
import subprocess
from PIL import Image
 
def extract_live_photo(live_photo_path):
    """提取Live Photo中的静态图片和视频"""
    # Live Photo通常是.heic文件，视频文件是同目录下的.mov文件
    base_name = os.path.splitext(live_photo_path)[0]
    video_path = f"{base_name}.mov"
    
    if not os.path.exists(video_path):
        raise FileNotFoundError(f"未找到Live Photo对应的视频文件：{video_path}")
    
    return live_photo_path, video_path
 
def convert_to_gif(video_path, output_path, fps=10, size=(200, 200), duration=3):
    """将视频转换为GIF"""
    # 使用FFmpeg将视频转换为GIF
    cmd = [
        "ffmpeg", "-y",
        "-i", video_path,
        "-vf", f"fps={fps},scale={size[0]}:{size[1]}:force_original_aspect_ratio=decrease",
        "-t", str(duration),
        "-f", "gif",
        output_path
    ]
    
    subprocess.run(cmd, check=True)
    
    # 优化GIF大小
    optimize_gif(output_path)
    
    return output_path
 
def optimize_gif(gif_path):
    """优化GIF文件大小"""
    with Image.open(gif_path) as img:
        # 减少颜色数量
        palette = Image.new("P", (1, 1))
        palette.putpalette(img.getpalette())
        
        img = img.quantize(colors=256)
        img.save(gif_path, "GIF", optimize=True)
 
def live_photo_to_gif(live_photo_path, output_dir, **kwargs):
    """完整的Live Photo转GIF流程"""
    # 提取静态图片和视频
    photo_path, video_path = extract_live_photo(live_photo_path)
    
    # 生成输出文件名
    base_name = os.path.basename(os.path.splitext(live_photo_path)[0])
    output_path = os.path.join(output_dir, f"{base_name}.gif")
    
    # 转换为GIF
    convert_to_gif(video_path, output_path, **kwargs)
    
    print(f"转换完成：{output_path}")
    return output_path
 
# 使用示例
if __name__ == "__main__":
    live_photo_path = "test.LivePhoto/IMG_001.heic"
    output_dir = "./output_gifs"
    
    if not os.path.exists(output_dir):
        os.makedirs(output_dir)
    
    live_photo_to_gif(
        live_photo_path,
        output_dir,
        fps=8,
        size=(240, 240),
        duration=2
    )