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1zlab face track robot二自由度云台实现人脸追踪。 首先是使用一款名字叫做IP摄像头的APP 采集手机摄像头的图像,在手机上建立一个视频流服务器。在局域网下,PC通过IP还有端口号获取图像。使用OpenCV的人脸检测的API获取人脸在画面中的位置,根据人脸位置距离画面中心的x轴与y轴的偏移量(offset) ,通过P比例控制(PID控制中最简单的一种)控制二自由度云台上臂与下臂的旋转角度,将角度信息通过串口通信UART发送给ESP32单片机(不限于ESP32,STM32,Arduino都可以)解析执行对应的操作,从而使得人脸尽可能处在画面的正中间。
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OcrtableRecognize tables and text from scanned images that contain tables. 从包含表格的扫描图片中识别表格和文字
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Retinaface Tf2RetinaFace (RetinaFace: Single-stage Dense Face Localisation in the Wild, published in 2019) reimplemented in Tensorflow 2.0, with pretrained weights available !
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