移动端实时疲劳驾驶检测
在ARM端实现疲劳驾驶实时检测，检测速度20FPS以上。
软件环境: 移动端框架ncnn、opencv、qt。
硬件环境: samsung6818A53系列ARM,cpu: Cortex-A53,8核。
通过USB（红外）摄像头采集驾驶员面部图像,基于MTCNN检测驾驶员人脸，保存眼睛状态序列，根据PERCLOS准则做出疲劳预警。
1.caffe模型转ncnn、交叉编译Opencv\ncnn的arm库；
2.基于QT的Qwidget类创建QT widget Application，videodevice类管理摄像头，eye_statue类实现眼睛状态识别，mouth_statue类实现嘴部状态识别，mtcnn类实现人脸及特征点检测，widget类实现PERCLOS疲劳检测，及低头预警；
上学时参加禁赛用的，有些粗糙了>-<
I tried to build that code, but I checked that there were missing files as shown in the picture. Is it correct that these files are missing? Or is there anything else I missed?
Thank you!
我试图构建那个代码，但是确认了照片上显示的文件丢失了. 这些文件不见了，对吗？ 或者还有什么我遗漏的吗？
谢谢！
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