超市Azure ML，FACE API中的人群检测 [英] Crowd Detection in a supermarket Azure ML, FACE API

问题描述

我正在开始一个新项目，关于在超市等待付款.我搜索了IBM，Google，Microsoft的一些机器学习工具 和Tensorflow.经过研究后，我发现Microsoft Azure ML工具通常在大多数数据集中具有最高的准确率.现在，我需要一些实用的意见来选择最佳方法.我的第一观点是使用Microsoft Face API，该工具的编号为 可以算人.其次是，首先使用Azure ML中的CNN深度学习算法训练并录制一些视频记录并进行测试.到目前为止，这是我的意见.您对我的问题有什么建议吗?谢谢.

I'm starting to a new project about counting people in a supermarket waiting for payment. I searched some machine learning tools of IBM, Google, Microsoft and Tensorflow. After doing some research I found that Microsoft Azure ML Tool has generally best accuracy rates in most datasets. Now I need some practical views to choose best way. First of my opinions is using Microsoft Face API, with this tool number of people can be counted. Second is that first train with some video records by using CNN algorithm of deep learning in Azure ML and test. These are my opinions so far. Do you have any suggestions for my question? Thanks.

推荐答案

开始使用Face API可能会更容易:https://docs.microsoft.com/en-us/azure/cognitive-services/face/overview

It might be easier to get started with using the Face API: https://docs.microsoft.com/en-us/azure/cognitive-services/face/overview

有关API如何工作和跟进的详细信息，您可以使用以下论坛:

For details on how the API works and follow up, you can use this forum:

https://cognitive.uservoice.com/forums/430315-face-api

https://cognitive.uservoice.com/forums/430315-face-api

https://stackoverflow.com/questions/tagged/microsoft-cognitive

https://stackoverflow.com/questions/tagged/microsoft-cognitive

此致，
Jaya 

Regards,
Jaya 

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