基于Python实现的口罩佩戴检测.zip

上传者: sheziqiong | 上传时间: 2022-11-20 16:59:14 | 文件大小: 4.86MB | 文件类型: ZIP
资源包含文件:设计报告word文档+源码 针对目标检测的任务,可以分为两个部分:目标识别和位置检测。通常情况下,特征提取需要由特有的特征提取神经网络来完成,如 VGG、MobileNet、ResNet 等,这些特征提取网络往往被称为 Backbone 。而在 BackBone 后面接全连接层***(FC)***就可以执行分类任务。但 FC 对目标的位置识别乏力。经过算法的发展,当前主要以特定的功能网络来代替 FC 的作用,如 Mask-Rcnn、SSD、YOLO 等。我们选择充分使用已有的人脸检测的模型,再训练一个识别口罩的模型,从而提高训练的开支、增强模型的准确率。 详细介绍参考:https://biyezuopin.blog.csdn.net/article/details/124897861

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