2ec2c0a1ab
- 添加MDF文件导出功能 - 集成阿里云OCR大模型识别 - 添加百度智能云AI照片评分 - 集成DeepSeek大模型创意文案生成 - 完善文档和配置管理 - 使用uv进行现代化依赖管理 - 添加完整的.gitignore配置
366 lines
14 KiB
Python
366 lines
14 KiB
Python
#!/usr/bin/env python3
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"""
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照片评分建议生成器
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为照片评分结果提供具体的改进建议
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"""
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class PhotoAdviceGenerator:
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"""照片建议生成器类"""
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def __init__(self):
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self.quality_advice_db = self._init_quality_advice()
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self.aesthetic_advice_db = self._init_aesthetic_advice()
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self.technical_advice_db = self._init_technical_advice()
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def _init_quality_advice(self):
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"""初始化质量改进建议数据库"""
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return {
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'clarity': {
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'low': [
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"使用三脚架或稳定设备减少抖动",
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"提高快门速度避免运动模糊",
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"使用自动对焦确保主体清晰",
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"清洁镜头避免污渍影响",
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"在光线充足的环境下拍摄"
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],
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'medium': [
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"微调对焦点确保主体清晰",
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"使用更高的分辨率设置",
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"避免过度压缩图像",
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"后期适当锐化处理"
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],
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'high': [
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"清晰度优秀，继续保持",
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"可尝试更高难度的拍摄场景"
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]
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},
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'brightness': {
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'low': [
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"增加曝光补偿",
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"使用闪光灯或补光设备",
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"选择光线更好的拍摄时间",
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"提高ISO感光度（注意噪点）",
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"使用反光板补光"
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],
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'medium': [
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"微调曝光参数",
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"使用HDR模式拍摄",
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"注意高光和阴影的平衡",
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"后期调整亮度曲线"
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],
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'high': [
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"亮度适中，曝光准确",
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"可尝试创意光影效果"
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]
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},
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'contrast': {
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'low': [
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"增加画面明暗对比",
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"选择色彩对比强烈的场景",
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"使用侧光或逆光增强立体感",
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"后期调整对比度参数"
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],
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'medium': [
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"适当增强局部对比",
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"注意高光不过曝，阴影不死黑",
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"使用曲线工具精细调整"
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],
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'high': [
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"对比度良好，层次分明",
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"可尝试高对比风格创作"
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]
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},
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'color_balance': {
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'low': [
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"校正白平衡设置",
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"使用灰卡进行色彩校准",
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"避免混合光源造成的色偏",
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"后期校正色彩平衡"
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],
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'medium': [
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"微调色温和色调",
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"注意肤色还原自然",
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"统一画面色彩风格"
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],
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'high': [
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"色彩平衡优秀，还原准确",
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"可尝试创意色彩风格"
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]
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}
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}
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def _init_aesthetic_advice(self):
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"""初始化美学改进建议数据库"""
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return {
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'composition': {
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'basic': [
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"学习三分法则构图",
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"注意主体在画面中的位置",
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"避免主体过于居中",
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"利用引导线增强画面深度"
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],
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'intermediate': [
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"尝试对称或不对称构图",
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"利用前景增强层次感",
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"注意画面元素的平衡",
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"创造视觉焦点"
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],
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'advanced': [
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"构图优秀，可尝试更复杂构图",
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"探索极简或复杂构图风格",
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"注重画面节奏和韵律"
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]
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},
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'lighting': {
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'basic': [
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"选择黄金时刻拍摄（日出日落）",
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"避免正午强光直射",
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"学习使用自然光",
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"注意光影方向和质量"
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],
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'intermediate': [
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"尝试侧光或逆光效果",
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"利用阴影创造氛围",
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"控制光比避免过曝或欠曝",
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"学习使用人造光源"
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],
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'advanced': [
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"光线运用娴熟，可尝试创意用光",
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"探索特殊光线条件拍摄",
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"注重光影的情感表达"
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]
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},
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'subject': {
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'basic': [
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"明确拍摄主体",
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"简化背景突出主体",
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"注意主体与环境的互动",
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"选择有故事性的主体"
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],
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'intermediate': [
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"注重主体的表情和姿态",
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"创造主体与环境的关系",
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"捕捉决定性瞬间",
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"注重主体的个性表达"
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],
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'advanced': [
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"主体表现力强，可尝试更深层次表达",
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"探索抽象或概念性主体",
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"注重主体的象征意义"
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]
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}
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}
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def _init_technical_advice(self):
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"""初始化技术改进建议数据库"""
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return {
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'camera_settings': [
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"学习曝光三角关系（光圈、快门、ISO）",
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"根据场景选择合适的拍摄模式",
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"掌握对焦技巧确保主体清晰",
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"合理使用白平衡设置"
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],
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'post_processing': [
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"学习基本的后期调整技巧",
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"掌握色彩校正和调整",
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"学习锐化和降噪处理",
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"尝试创意滤镜效果"
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],
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'equipment': [
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"根据需求选择合适的镜头",
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"考虑使用三脚架提高稳定性",
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"投资质量好的存储设备",
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"定期清洁和维护设备"
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],
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'shooting_techniques': [
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"练习稳定的持机姿势",
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"学习不同的拍摄角度",
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"掌握连拍和定时拍摄",
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"尝试慢门或高速摄影"
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]
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}
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def generate_quality_advice(self, quality_scores):
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"""生成质量改进建议"""
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advice = {
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'overall': [],
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'specific': {},
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'priority': []
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}
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# 总体建议
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overall_score = sum(quality_scores.values()) / len(quality_scores)
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if overall_score >= 90:
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advice['overall'].append("照片质量优秀，继续保持高水平拍摄")
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elif overall_score >= 80:
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advice['overall'].append("照片质量良好，有进一步提升空间")
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elif overall_score >= 60:
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advice['overall'].append("照片质量一般，需要重点改进")
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else:
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advice['overall'].append("照片质量较差，建议系统学习摄影基础")
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# 具体维度建议
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for dimension, score in quality_scores.items():
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if dimension in self.quality_advice_db:
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level = self._get_score_level(score)
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dimension_advice = self.quality_advice_db[dimension].get(level, [])
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advice['specific'][dimension] = dimension_advice
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# 添加优先级建议
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if score < 70:
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advice['priority'].append(f"优先改进{dimension}（当前{score}分）")
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return advice
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def generate_aesthetic_advice(self, aesthetic_score, composition_analysis):
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"""生成美学改进建议"""
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advice = {
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'general': [],
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'composition': [],
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'lighting': [],
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'subject': [],
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'creative': []
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}
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# 总体美学建议
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if aesthetic_score >= 90:
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advice['general'].append("美学表现优秀，具备专业水准")
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advice['creative'].append("可尝试更具挑战性的创意拍摄")
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elif aesthetic_score >= 80:
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advice['general'].append("美学表现良好，细节有待提升")
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advice['creative'].append("尝试不同的构图和用光方式")
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elif aesthetic_score >= 60:
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advice['general'].append("美学表现一般，需要系统学习")
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advice['creative'].append("从基础构图和用光开始练习")
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else:
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advice['general'].append("美学表现较差，建议学习摄影美学基础")
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# 构图建议
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comp_level = self._get_aesthetic_level(aesthetic_score)
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advice['composition'] = self.aesthetic_advice_db['composition'].get(comp_level, [])
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# 用光建议
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light_level = self._get_aesthetic_level(aesthetic_score)
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advice['lighting'] = self.aesthetic_advice_db['lighting'].get(light_level, [])
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# 主体建议
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subject_level = self._get_aesthetic_level(aesthetic_score)
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advice['subject'] = self.aesthetic_advice_db['subject'].get(subject_level, [])
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return advice
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def generate_technical_advice(self, photo_type='general'):
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"""生成技术改进建议"""
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advice = {
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'camera_settings': self.technical_advice_db['camera_settings'],
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'post_processing': self.technical_advice_db['post_processing'],
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'equipment': self.technical_advice_db['equipment'],
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'shooting_techniques': self.technical_advice_db['shooting_techniques']
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}
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# 根据照片类型调整建议
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if photo_type == 'portrait':
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advice['camera_settings'].extend([
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"使用大光圈虚化背景",
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"注意对焦在眼睛上",
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"使用柔光设备美化肤色"
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])
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elif photo_type == 'landscape':
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advice['camera_settings'].extend([
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"使用小光圈获得大景深",
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"使用三脚架确保稳定性",
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"利用滤镜控制光线"
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])
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elif photo_type == 'macro':
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advice['camera_settings'].extend([
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"使用微距镜头或近摄环",
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"注意景深控制",
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"使用环形闪光灯补光"
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])
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return advice
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def generate_personalized_advice(self, quality_scores, aesthetic_score, photo_content):
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"""生成个性化综合建议"""
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personalized = {
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'quick_wins': [],
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'long_term_improvements': [],
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'learning_resources': [],
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'practice_exercises': []
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}
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# 快速改进建议
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low_score_dimensions = [dim for dim, score in quality_scores.items() if score < 70]
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if low_score_dimensions:
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personalized['quick_wins'].append(f"重点改进：{', '.join(low_score_dimensions)}")
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# 长期改进建议
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if aesthetic_score < 80:
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personalized['long_term_improvements'].append("系统学习摄影构图和用光")
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# 学习资源推荐
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personalized['learning_resources'].extend([
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"推荐书籍：《摄影构图学》、《美国纽约摄影学院教材》",
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"在线课程：B站摄影教程、摄影之友",
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"实践平台：参加摄影比赛、加入摄影社群"
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])
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# 练习建议
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personalized['practice_exercises'].extend([
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"每日拍摄练习：同一主题不同角度",
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"技术练习：曝光、对焦、白平衡",
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"创意练习：尝试不同风格和主题"
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])
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return personalized
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def _get_score_level(self, score):
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"""根据分数获取等级"""
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if score >= 85:
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return 'high'
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elif score >= 70:
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return 'medium'
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else:
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return 'low'
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def _get_aesthetic_level(self, score):
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"""根据美学分数获取等级"""
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if score >= 85:
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return 'advanced'
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elif score >= 70:
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return 'intermediate'
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else:
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return 'basic'
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def get_quality_improvement_advice(quality_scores):
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"""获取质量改进建议"""
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try:
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advisor = PhotoAdviceGenerator()
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return advisor.generate_quality_advice(quality_scores)
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except Exception as e:
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return {'error': f"生成建议失败: {str(e)}"}
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def get_aesthetic_improvement_advice(aesthetic_score, composition_analysis=None):
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"""获取美学改进建议"""
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try:
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advisor = PhotoAdviceGenerator()
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return advisor.generate_aesthetic_advice(aesthetic_score, composition_analysis)
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except Exception as e:
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return {'error': f"生成建议失败: {str(e)}"}
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def get_technical_advice(photo_type='general'):
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"""获取技术改进建议"""
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try:
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advisor = PhotoAdviceGenerator()
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return advisor.generate_technical_advice(photo_type)
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except Exception as e:
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return {'error': f"生成建议失败: {str(e)}"}
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def get_personalized_advice(quality_scores, aesthetic_score, photo_content):
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"""获取个性化综合建议"""
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try:
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advisor = PhotoAdviceGenerator()
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return advisor.generate_personalized_advice(quality_scores, aesthetic_score, photo_content)
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except Exception as e:
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return {'error': f"生成建议失败: {str(e)}"} |