Dangerous_driving_behavior_detection:利用SSD目标检测算法判断是否闭眼或者张开嘴和吸烟打电话等手势行为,通过PERCLOS准则判断是否疲劳等等,功能涵盖7类情绪识别,眨眼判断,哈欠判断,吸烟,打电话等,达到危险驾驶检测的功能-源码

上传者: 42105169 | 上传时间: 2021-09-13 19:40:36 | 文件大小: 212.52MB | 文件类型: ZIP
运行环境: 1.python 3.7.4 2.pytorch 1.4.0 3.python-opencv 说明 预训练的权重文件[vgg_16] 具体的配置文件请看Config.py文件 训练运行python Train.py 单张测试 python Test.py ##目前进度: 1、PERCLOS计算 DONE 2、眨眼频率计算 DONE 3、打哈欠检测及计算 DONE 4、疲劳检测 DONE 5、人脸情绪检测 DONE 6、口罩检测Done 网络检测性能:准确率82.18% 主要文件说明: ssd_net_vgg.py 定义class SSD的文件 Train.py 训练代码 voc0712.py 数据集处理代码(没有改文件名,改的话还要改其他代码) loss_function.py 损失函数 detection.py 检测结果的处理代码,将SSD返回结果处理为opencv可以处理的

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