慧眼选鸟 将评分写入照片的 EXIF/XMP 元数据中。如果照片已经导入 Lightroom，需要手动同步元数据： SuperPicky writes ratings to photo EXIF/XMP metadata. If photos are already imported in Lightroom, you need to manually sync metadata:
慧眼选鸟 使用英文颜色名称（如 "Green"、"Red"）写入标签。如果您的 Lightroom 使用不同的颜色标签集设置，标签可能无法正确显示。 SuperPicky uses English color names (e.g., "Green", "Red") for labels. If your Lightroom uses a different color label set, labels may not display correctly.
精选旗标写入 XMP:Pick 字段。与评分一样，需要从文件读取元数据才能在 Lightroom 中显示： Pick flags are written to the XMP:Pick field. Like ratings, you need to read metadata from files to display them in Lightroom:
0 星照片会被标记为排除旗标（XMP:Pick = -1）。同样需要从文件读取元数据： 0-star photos are marked with a reject flag (XMP:Pick = -1). You also need to read metadata from files:
慧眼选鸟 将锐度和美学评分写入 XMP 的地理位置字段，可以在 Lightroom 中直接排序： SuperPicky writes sharpness and aesthetics scores to XMP location fields, which can be sorted directly in Lightroom:
慧眼选鸟 提供完整的重置功能，可以恢复文件位置和清除元数据： SuperPicky provides a complete reset function to restore file locations and clear metadata:
V4 系列是一个跨越式的重大更新，搭载了全新的 OSEA 核心模型： V4 series is a major leap forward, powered by the new OSEA core model:
V4.0.0 安装时会自动部署 Lightroom Classic 插件。如果需要手动添加： V4.0.0 installer automatically deploys the Lightroom Classic plugin. To add manually:
~/Library/Application Support/Adobe/Lightroom/Modules/SuperBirdID.lrplugin
Click "Add", navigate to
~/Library/Application Support/Adobe/Lightroom/Modules/SuperBirdID.lrplugin
V4.0.0 提供完整的命令行工具，支持所有核心功能： V4.0.0 provides a full-featured CLI supporting all core functions:
# 处理照片目录
python superpicky_cli.py process ~/Photos/Birds
# 自定义阈值处理
python superpicky_cli.py process ~/Photos/Birds -s 600 -n 5.2
# 处理时自动识别鸟种
python superpicky_cli.py process ~/Photos/Birds --auto-identify
# 重置目录
python superpicky_cli.py reset ~/Photos/Birds
# 重新评星
python superpicky_cli.py restar ~/Photos/Birds -s 700 -n 5.5
# 识别单张照片的鸟类
python superpicky_cli.py identify ~/Photos/bird.jpg
# 识别并写入EXIF
python superpicky_cli.py identify bird.NEF --write-exif
V4.0.0 新增系统托盘功能，支持后台运行： V4.0.0 adds system tray support for background mode:
启用鸟种识别后，照片可按识别的鸟种自动分类到子目录： With bird ID enabled, photos can be auto-organized into species subdirectories:
慧眼选鸟 采用了强大的双重地理空间数据过滤，以解决 AI 模型的幻觉误差： SuperPicky uses powerful dual geospatial data filtering to solve AI model hallucinations:
慧眼选鸟 的评分和元数据功能与 Adobe Bridge 和 Photoshop 完全兼容： SuperPicky's rating and metadata features are fully compatible with Adobe Bridge and Photoshop:
从 V4.0.6 开始，系统架构经过底层优化，冷启动性能已大幅提升： Starting from V4.0.6, architecture is heavily optimized, drastically improving cold start performance:
以下方法可以显著提高识别准确率： These methods can significantly improve identification accuracy:
鸟种识别结果会写入以下 IPTC/XMP 元数据字段： Bird identification results are written to these IPTC/XMP metadata fields:
是的！自 V4.0.6 起，Windows 版本已退出 Beta 测试，提供全面而稳定的支持，针对不同硬件双轨并行： Yes! Since V4.0.6, the Windows version is officially supported for broad hardware integration:
这是 慧眼选鸟 评估照片的最核心机制。双达标指的是在一组连拍或者相似姿态组别中，该照片的锐度 (Sharpness) 和 美学评分 (Aesthetics) 参数同时达到了极高标准（通常是前 25%）。在此基础上： This is the core evaluation mechanism. Dual Qualify means the photo simultaneously reached the Top 25% in its burst sequence for both Sharpness and Aesthetics. Furthermore: