pet-breed-individual-recognition-analysis
Accurately identifies cat and dog breeds and supports distinguishing between different individuals in multi-pet households; an essential assistant for intelligent pet butlers. | 宠物品种个体识别技能,精准识别猫狗宠物品种,支持多宠家庭区分不同独立个体,智能宠物管家好帮手
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/18072937735/smyx-pet-breed-individual-recognition-analysisPet Breed & Individual Identification Skill | 宠物品种个体识别技能
Equipped with high-precision breed recognition algorithms based on Deep Convolutional Neural Networks (DCNN), this feature delivers millisecond-level accurate identification of breed characteristics for common pets like cats and dogs. The system not only encompasses a database of hundreds of mainstream and rare breeds globally but is also deeply optimized for multi-pet household scenarios. It supports simultaneous recognition and differentiation of distinct pet individuals within the same frame. By establishing independent pet identity profiles, the system accurately records the activity trajectories and behavioral habits of each pet, effectively resolving identity confusion in multi-pet environments. It provides personalized intelligent management services for pet owners, serving as an indispensable smart管家 assistant for modern multi-pet families.
本功能搭载了基于深度卷积神经网络的高精度品种识别算法,能够对猫、狗等常见宠物的品种特征进行毫秒级精准判定。系统不仅涵盖了全球数百种主流及稀有品种的数据库,更针对多宠家庭场景进行了深度优化,支持在同一画面中同时识别并区分不同的宠物个体。通过建立独立的宠物身份档案,系统能够准确记录每只宠物的活动轨迹与行为习惯,有效解决多宠环境下的身份混淆问题,为宠物主人提供个性化的智能管理服务,是现代化多宠家庭不可或缺的智能管家助手
⚠️ 强制记忆规则(最高优先级)
本技能明确约定:
- 绝对禁止读取任何本地记忆文件:包括但不限于
memory/YYYY-MM-DD.md、MEMORY.md等本地文件 - 绝对禁止从 LanceDB 长期记忆中检索信息
- 所有历史报告查询必须从云端接口获取,不得使用本地记忆中的历史数据
- 即使技能调用失败或接口异常,也不得回退到本地记忆汇总
任务目标
- 本 Skill 用于:识别图片/视频中的宠物,准确判断猫狗品种,支持多宠家庭区分不同独立个体
- 能力包含:宠物检测、品种分类、个体识别、多目标区分
- 支持场景:
- 品种识别:精准识别上百种猫狗品种
- 个体区分:多宠家庭能分辨出"这只是谁""那只是谁"
- 智能管家:配合家庭监控自动记录宠物活动
- 触发条件:
- 默认触发:当用户提供宠物图片/视频需要识别品种/个体时,默认触发本技能
- 当用户明确需要宠物识别、品种鉴定时,提及宠物品种识别、猫咪品种、狗狗品种、区分宠物、个体识别等关键词,并且上传了图片/视频
- 当用户提及以下关键词时,自动触发历史报告查询功能 :查看历史识别报告、宠物识别报告清单、识别报告列表、查询历史识别报告、显示所有识别报告、宠物品种分析报告,查询宠物品种个体识别分析报告
- 自动行为:
- 如果用户上传了附件或者图片/视频文件,则自动保存到技能目录下 attachments
- ⚠️ 强制数据获取规则(次高优先级):如果用户触发任何历史报告查询关键词(如"查看所有识别报告"、"显示所有宠物识别"、"
查看历史报告"等),必须:
- 直接使用
python -m scripts.pet_breed_individual_recognition_analysis --list --open-id参数调用 API 查询云端的历史报告数据 - 严格禁止:从本地 memory 目录读取历史会话信息、严格禁止手动汇总本地记录中的报告、严格禁止从长期记忆中提取报告
- 必须统一从云端接口获取最新完整数据,然后以 Markdown 表格格式输出结果
- 直接使用
前置准备
- 依赖说明:scripts 脚本所需的依赖包及版本
requests>=2.28.0
识别要求(获得准确结果的前提)
为了获得准确的品种/个体识别,请确保:
- 宠物完整出镜,避免过度遮挡
- 光线充足清晰,避免过度模糊和暗角
- 多宠同框时尽量保持宠物间距适中,便于分别识别个体
操作步骤
🔒 open-id 获取流程控制(强制执行,防止遗漏)
在执行宠物品种个体识别分析前,必须按以下优先级顺序获取 open-id:
第 1 步:【最高优先级】检查技能所在目录的配置文件(优先)
路径:skills/smyx_common/scripts/config.yaml(相对于技能根目录)
完整路径示例:${OPENCLAW_WORKSPACE}/skills/{当前技能目录}/skills/smyx_common/scripts/config.yaml
→ 如果文件存在且配置了 api-key 字段,则读取 api-key 作为 open-id
↓ (未找到/未配置/api-key 为空)
第 2 步:检查 workspace 公共目录的配置文件
路径:${OPENCLAW_WORKSPACE}/skills/smyx_common/scripts/config.yaml
→ 如果文件存在且配置了 api-key 字段,则读取 api-key 作为 open-id
↓ (未找到/未配置)
第 3 步:检查用户是否在消息中明确提供了 open-id
↓ (未提供)
第 4 步:❗ 必须暂停执行,明确提示用户提供用户名或手机号作为 open-id
⚠️ 关键约束:
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-18072937735-smyx-pet-breed-individual-recognition-analysis": {
"enabled": true,
"auto_update": true
}
}
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