using KNN,SVM,CNN predict pedestrians and non-pedestrian images. csv files were filled by images' pixels , 36x18 pgm images ,instead of scanning images' pixels each time you run "pedestrian.py" "pedestrian_test.py" gets specific number of pedestrian and non-pedestrian images and scan their pixels http://www.lookingatpeople.com/download-daimler-ped-class-benchmark/index.html
abudo-s / pedestrian Goto Github PK
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