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使用yolov8n模型进行场景分类。
支持的场景包括:
'airport_inside', 'artstudio', 'auditorium', 'bakery', 'bookstore', 'bowling', 'buffet', 'casino', 'children_room', 'church_inside', 'classroom', 'cloister', 'closet', 'clothingstore', 'computerroom', 'concert_hall', 'corridor', 'deli', 'dentaloffice', 'dining_room', 'elevator', 'fastfood_restaurant', 'florist', 'gameroom', 'garage', 'greenhouse', 'grocerystore', 'gym', 'hairsalon', 'hospitalroom', 'inside_bus', 'inside_subway', 'jewelleryshop', 'kindergarden', 'kitchen', 'laboratorywet', 'laundromat', 'library', 'livingroom', 'lobby', 'locker_room', 'mall', 'meeting_room', 'movietheater', 'museum', 'nursery', 'office', 'operating_room', 'pantry', 'poolinside', 'prisoncell', 'restaurant', 'restaurant_kitchen', 'shoeshop', 'stairscase', 'studiomusic', 'subway', 'toystore', 'trainstation', 'tv_studio', 'videostore', 'waitingroom', 'warehouse', 'winecellar'
'机场内部', '艺术工作室', '礼堂', '面包房', '书店', '保龄球', '自助餐', '赌场', '儿童休息室', '教堂内部', '教室', '回廊', '壁橱', '服装店', '电脑室', '音乐厅', '走廊', '熟食店', '牙科诊所', '餐厅', '电梯间', '快餐店', '花店', '游戏室', '车库', '温室', '杂货店', '健身房', '发廊', '医院病房', '大巴内', '地铁内', '珠宝店', '学前班', '厨房', '实验室', '自助洗衣店', '图书馆', '起居室', '大堂', '储物室', '商场', '会议室', '电影院', '博物馆', '托儿所', '办公室', '手术室', '地铁', '玩具店', '食品贮藏室', '水塘', '牢房', '餐馆', '餐馆厨房', '鞋店', '楼梯间', '录音室', '地铁', '玩具店', '火车站', '电视台', '录像店', '候诊室', '仓库', '酒窖'
好像不太准。
模型来源: https://hf-mirror.com/keremberke/yolov8n-scene-classification
本模型基于 ServiceBoot微服务引擎 进行服务化封装,参见: 《CubeAI模型开发指南》
$ sh pip-install-reqs.sh
$ serviceboot start
或
$ python3 run_model_server.py
一键式本地容器化部署和运行,参见: 《CubeAI模型独立部署指南》 或 CubeAI Docker Builder
本模型服务可一键发布至 CubeAI智立方平台 进行共享和部署,参见: 《CubeAI模型发布指南》
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