streetparking:定制训练有素的汽车识别,用于路边停车

上传者: 42117032 | 上传时间: 2022-08-17 10:13:25 | 文件大小: 89.43MB | 文件类型: ZIP
街边停车 定制训练有素的汽车识别,用于路边停车 我生活在一个伟大的城市:完美的自然环境,良好的交通条件,友善的人,宁静的社区。 除了停车位。 简而言之,我需要知道那些街边停车位是否可用以适合我的汽车。我可以通过不断从窗户往外检查来手动完成。 还是我使用对象检测-机器学习? Tensorflow来了。 这是我的计划: 设置指向窗外的摄像头(完成) 每隔1分钟在室外拍摄图像的RTSP流(完成) Tensorflow读取占用该空间的汽车数量3a。 这么多好的模型,但是似乎都不适合使用网络摄像头的模糊分辨率和芬兰天气条件的变化。 因此,我使用Tensorflow Objectdecection API训练了自定义模型(在Mac Pro CPU上运行,运行时间为5天xD) 有用 3b。 找出需要检测的区域(进行中) 4.将数据发送到前端站点/或Telegram Bot发送信号。

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