Classroom-PeopleCounting.
教室人数计数
EmptyPhoto中存放无人教室的照片FullPhoto中存放有人教室的照片GenerateTrainset_empty.py从无人教室的照片中手动划分目标区域生成负样本训练集GenerateTrainset_full.py从有人教室的照片中手动划分目标区域生成正样本训练集HOGExtract.py完成特征提取并把HOG特征写入csv文件Classify.py读取上述csV文件并进行训练，最后在某张训练集之外的图片上手动标定测试模型效果注：因为本项目的研究不具备监控视频的条件，所以只能用拍照的方式获取一些图片，但由于拍摄并不稳定，所以每张图片对应的像素点在另一张图片中不一定是同一个区域，因此在测试模型的效果时也采用手动划定目标区域的方式，如果有监控视频，则可以将像素点坐标写入txt文件中，测试模型时直接读取该txt确定目标区域。
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