算法部署-基于NCNN在Android平台使用YOLOv4-Tiny进行人脸口罩检测算法实现-优质算法部署项目实战.zip

# ncnn-android-yolov4-tiny-custom ## Face Mask Detection > Model trained by AlexeyAB/darknet,which implement the YOLOv4-tiny algorithm, > Model converted and deployed by Tencent/NCNN. ### Introduction + APP对人脸是否佩戴口罩进行目标检测； + 模型在darknet上训练； + 数据集包含12,373 张图片，训练集与测试集比例为8:2； + 使用yolov4-tiny，并在[yolov4-tiny.conv.29](https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v4_pre/yolov4-tiny.conv.29)上进行预训练； + 通过NCNN完成模型转换与安卓平台部署，可在Android端调用摄像头实时检测，在骁龙865设备上可达20FPS。 ### Build + Using [Android Studio](https://developer.android.com/studio) to build this project. + You need install Android SDK , Android NDK and CMake additional in Android Studio. ### Example(Original Version)