Automatic-Helmet-Detection-master

所属分类:模式识别(视觉/语音等)
开发工具:matlab
文件大小:3210KB
下载次数:34
上传日期:2019-02-26 15:52:23
上 传 者韵荣
说明:  使用机器学习方法进行安全帽的检测,在一定程度上保障了工人的安全。
(The use of machine learning methods for the detection of helmets to a certain extent guarantees the safety of workers.)

文件列表:
Holdout (0, 2017-06-07)
Holdout\ANN.py (2256, 2017-06-07)
Holdout\Decision_Tree.py (2268, 2017-06-07)
Holdout\KNN.py (2155, 2017-06-07)
Holdout\Logistic_Regression.py (2159, 2017-06-07)
Holdout\NaiveBayes.py (2115, 2017-06-07)
Holdout\Random_Forests.py (2154, 2017-06-07)
Holdout\SVM.py (2138, 2017-06-07)
Holdout\Voting.py (2628, 2017-06-07)
Holdout\WeightedAveraging.py (2991, 2017-06-07)
Holdout\face.csv (1990284, 2017-06-07)
Holdout\helmet.csv (1969214, 2017-06-07)
ImageResize.php (13632, 2017-06-07)
InfoGain.csv (20990, 2017-06-07)
K-Fold (0, 2017-06-07)
K-Fold\ANN.py (2775, 2017-06-07)
K-Fold\Decision_Tree.py (2653, 2017-06-07)
K-Fold\KNN.py (2675, 2017-06-07)
K-Fold\Logistic_Regression.py (2663, 2017-06-07)
K-Fold\NaiveBayes.py (2635, 2017-06-07)
K-Fold\Random_Forests.py (2673, 2017-06-07)
K-Fold\SVM.py (2658, 2017-06-07)
K-Fold\Voting.py (3153, 2017-06-07)
K-Fold\WeightedAveraging.py (4125, 2017-06-07)
K-Fold\face.csv (1990284, 2017-06-07)
K-Fold\helmet.csv (1969214, 2017-06-07)
LeaveOneOut (0, 2017-06-07)
LeaveOneOut\ANN.py (1836, 2017-06-07)
LeaveOneOut\Decision_Tree.py (1724, 2017-06-07)
LeaveOneOut\KNN.py (1741, 2017-06-07)
LeaveOneOut\Logistic_Regression.py (1725, 2017-06-07)
LeaveOneOut\NaiveBayes.py (1708, 2017-06-07)
LeaveOneOut\Random_Forests.py (1744, 2017-06-07)
LeaveOneOut\SVM.py (1698, 2017-06-07)
LeaveOneOut\Voting.py (2222, 2017-06-07)
LeaveOneOut\WeightedAveraging.py (2766, 2017-06-07)
LeaveOneOut\face.csv (1990284, 2017-06-07)
LeaveOneOut\helmet.csv (1969214, 2017-06-07)
arc_circularity.m (1244, 2017-06-07)
... ...

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