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      "body": "深度学习的浪潮正在全世界漫延，而深度学习对图像的识别训练需要大量的样本和算力支持，普通人从无到有搭建一个图像识别系统需要大量的时间，幸运的是互联网巨头为我们提供了云服务，在云端为我们训练好了识别系统，我们只需要支付低廉的费用就可以调用API实现高精度的图像识别。\n这里我们使用[百度云](https://cloud.baidu.com/)提供的图像识别接口。首先，在百度云注册账号进入控制台新建一个图像识别应用，可以看到图像识别包括图像主体检测、logo商标识别、菜品识别、车型识别、动物识别和植物识别六个类别。\n\n![](https://steemitimages.com/DQmbwhE4rof6hAD3fMLnLAv1DCULY7fftdXnoAComziXCWL/image.png)\n\n我们新建一个应用，然后在管理应用界面可以看到API Key和Secret Key，记录下这两个值。百度云的鉴权认证机制需要使用这两个值获取Access Token。\n\n![](https://steemitimages.com/DQmVEDgCEafxs9RNauJmDpNSqiHBqA9cn4x1hRtTSzyva48/image.png)\n\n百度云提供了bash、PHP、JAVA、Python、C++和C#六种语言接口，这里我是用了Python3。官方文档给的Python示例基于Python2，所以我们需要对其进行一些修改。例如Python3中urllib和urllib2已经被合并，urllib2的功能被urllib.request所替代，整体获取Access Token的代码如下。\n\n![](https://steemitimages.com/DQmThnG9dRaiKj7CRLcwvoL9AZ7VyGZ2R2ghgg2zz1AUuFv/image.png)\n\n我们在获取到的json文件头就可以看到我们所需的Access Token值，将其记录下来。接下来以车辆识别为例，去网上下载一张车辆图片，将图片路径和Access Token填入下列代码。这里与官方例程不同的是，Python3中发送和接收数据需要使用utf-8来编码和解码。\n\n![](https://steemitimages.com/DQmRbWjT5mGepeb3FvCfZDAVrmSwxdK7hQBNNidF7nnKymk/image.png)\n\n最终我们将如下图片上传，返回的JSON显示这辆车有0.985的概率是一辆法拉利599。\n\n![11.jpg](https://steemitimages.com/DQmPud3H3HAadthEUDGEBsuxgWpGguRwYX2XRZ4U9P2JjWr/11.jpg)\n\n代码已上传至[https://github.com/HaoHuaqing/BaiduImageAPI](https://github.com/HaoHuaqing/BaiduImageAPI)",
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