From e6908a6bfe823e7883aca85a027f5725714a5cbb Mon Sep 17 00:00:00 2001 From: dongshuilong Date: Fri, 9 Sep 2022 13:18:35 +0800 Subject: [PATCH] update repo readme --- README_ch.md | 4 +++- .../samples/Fresh_Food_Recogniiton/README.md | 21 ++++++++++++++++++ .../Fresh_Food_Recogniiton/imgs/yingeo.png | Bin 0 -> 705991 bytes 3 files changed, 24 insertions(+), 1 deletion(-) create mode 100644 docs/zh_CN/samples/Fresh_Food_Recogniiton/README.md create mode 100644 docs/zh_CN/samples/Fresh_Food_Recogniiton/imgs/yingeo.png diff --git a/README_ch.md b/README_ch.md index 9632fe82..60224049 100644 --- a/README_ch.md +++ b/README_ch.md @@ -24,7 +24,7 @@ ## 近期更新 - 🔥️ 发布[PP-ShiTuV2](./docs/zh_CN/PPShiTu/PPShiTuV2_introduction.md),recall1精度提升8个点,覆盖[20+识别场景](./docs/zh_CN/introduction/ppshitu_application_scenarios.md),新增[库管理工具](./deploy/shitu_index_manager/),[Android Demo](./docs/zh_CN/quick_start/quick_start_recognition.md)全新体验。 -- 2022.9.4 新增[生鲜产品自主结算范例库](https://aistudio.baidu.com/aistudio/projectdetail/4486158),具体内容可以在AI Studio上体验。 +- 2022.9.4 新增[生鲜产品自主结算范例库](./docs/zh_CN/samples/Fresh_Food_Recogniiton/README.md),具体内容可以在AI Studio上体验。 - 2022.6.15 发布[PULC超轻量图像分类实用方案](docs/zh_CN/PULC/PULC_train.md),CPU推理3ms,精度比肩SwinTransformer,覆盖人、车、OCR场景九大常见任务。 - 2022.5.23 新增[人员出入管理范例库](https://aistudio.baidu.com/aistudio/projectdetail/4094475),具体内容可以在 AI Studio 上体验。 - 2022.5.20 上线[PP-HGNet](./docs/zh_CN/models/PP-HGNet.md), [PP-LCNetv2](./docs/zh_CN/models/PP-LCNetV2.md)。 @@ -48,6 +48,8 @@ PaddleClas发布了[PP-HGNet](docs/zh_CN/models/PP-HGNet.md)、[PP-LCNetv2](docs ## 快速体验 +生鲜品自主结算范例库: [点击这里](./docs/zh_CN/samples/Fresh_Food_Recogniiton/README.md) + PULC超轻量图像分类方案快速体验:[点击这里](docs/zh_CN/PULC/PULC_quickstart.md) PP-ShiTu图像识别快速体验:[点击这里](./docs/zh_CN/quick_start/quick_start_recognition.md) diff --git a/docs/zh_CN/samples/Fresh_Food_Recogniiton/README.md b/docs/zh_CN/samples/Fresh_Food_Recogniiton/README.md new file mode 100644 index 00000000..cca051ce --- /dev/null +++ b/docs/zh_CN/samples/Fresh_Food_Recogniiton/README.md @@ -0,0 +1,21 @@ +## 生鲜品自主结算 + +在超市等无人零售场景中,目前主要是结算方式,主要有以下几种 + +- 条形码方式 +- RFID等射频码 +- 称重方法 + +但是以上几种方法存在如下缺点: 1)针对条形码方式,对于成品包装的商品,较为成熟,但是对与生鲜产品等商品,并不能满足需求。 2)RFID等方式,虽然对生鲜等产品能够支持,但是额外生成标签,增加成本 3)称重方法,对于相同重量的山商品,不能很好的区分,同时重量称等精密仪器在长时间的负重和使用过程中,精度会发生变化,需要工作人员定期调教,以满足精度需求。 + +因此,如何选择一种既能大规模支持各种商品识别,又能方便管理,同时维护成本不高的识别系统,显得尤为重要。 + +深圳市银歌云技术有限公司基于飞桨的图像识别开发套件PaddleClas,提供了一套基于计算机视觉的完整生鲜品自主结算方案,其通过结算平台的摄像头拍摄的图像,自动的识别称上的商品,整个流程在1秒内完成,无需售卖人员的操作及称重。整个流程,实现了精度高、速度快,无需人工干预的自动结算效果。减少人工成本的同时,大大提高了效率和用户体验。 + +本案例使用了飞桨图像分类开发套件中的通用图像识别系统[PP-ShiTuV2](../../PPShiTu/PPShiTuV2_introduction.md)。 + + +![result](./imgs/yingeo.png) + +**注**: AI Studio在线运行代码请参考[生鲜品自主结算](https://aistudio.baidu.com/aistudio/projectdetail/4486158) + diff --git a/docs/zh_CN/samples/Fresh_Food_Recogniiton/imgs/yingeo.png b/docs/zh_CN/samples/Fresh_Food_Recogniiton/imgs/yingeo.png new file mode 100644 index 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