b6105b6770
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80 lines
2.4 KiB
Python
80 lines
2.4 KiB
Python
#!/usr/bin/env python3
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"""
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图片分析工具 - 使用月之暗面 API 分析图片内容
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"""
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import base64
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import os
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from openai import OpenAI
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def encode_image(image_path):
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"""将图片编码为 base64"""
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with open(image_path, "rb") as image_file:
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return base64.b64encode(image_file.read()).decode('utf-8')
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def analyze_image(image_path, prompt="请详细描述这张图片的内容"):
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"""分析图片内容"""
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# 月之暗面配置
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client = OpenAI(
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api_key="sk-lEk0pAIZ1EDgUkflq2is5uT2VbhuoKGpO5sNOSnuuccsD68r",
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base_url="https://api.moonshot.cn/v1"
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)
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# 编码图片
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base64_image = encode_image(image_path)
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try:
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response = client.chat.completions.create(
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model="moonshot-v1-8k",
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messages=[
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{
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"role": "user",
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"content": [
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{"type": "text", "text": prompt},
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{
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"type": "image_url",
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"image_url": {
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"url": f"data:image/png;base64,{base64_image}"
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}
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}
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]
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}
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],
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max_tokens=1000
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)
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return response.choices[0].message.content
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except Exception as e:
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return f"分析失败: {e}"
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def batch_analyze_images(image_dir, output_file="image_analysis.md"):
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"""批量分析图片"""
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results = []
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# 获取所有 PNG 图片
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png_files = [f for f in os.listdir(image_dir) if f.endswith('.png')]
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png_files.sort() # 按文件名排序
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for filename in png_files:
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image_path = os.path.join(image_dir, filename)
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print(f"正在分析: {filename}")
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analysis = analyze_image(
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image_path,
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"请详细描述这张图片的内容，包括文字、图表、人物、建筑等所有可见元素"
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)
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results.append(f"## {filename}\n\n{analysis}\n\n---\n")
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# 保存结果
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with open(output_file, 'w', encoding='utf-8') as f:
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f.write("# 图片分析结果\n\n")
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f.writelines(results)
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print(f"分析完成，结果保存到: {output_file}")
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if __name__ == "__main__":
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# 示例：分析序章的图片
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image_dir = "images/0 序：令人又敬又畏的_忽里勒台_大会"
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batch_analyze_images(image_dir, "序章图片分析.md") |