Vehicle Detection | HOG-SVM | python скачать в хорошем качестве

Vehicle Detection | HOG-SVM | python

Vehicle Detection with (Single-scale) HOG-SVM: What HOG-SVM sees The SVM classifier (with linear dot kernel) is trained with the care detection image dataset from Kaggle Green box indicates a Detection - notice that there are a couple of False Positives (mostly due to training dataset not representative enough) and a False Negative (mostly due to occlusion) The redundant (highly-overlapped) bounding boxes can be removed with NMS (non-max-suppression algorithm) The algorithm can be extended to Multi-Scale by scaling the input image