1 | initial version |
You need to get the HOG features from all of your positive and negative sample images using HOGDescriptor:compute functions, then feed the result to SVM library such as SVMlight. This page will help you to compute the feature and get the resulting model from SVM Light. The model will be available in genfiles/descriptorVector
Besides that, would you give me your pedestrian dataset/sample? I want to try using different dataset and confirm for any change in the result
2 | No.2 Revision |
You need to get the HOG features from all of your positive and negative sample images using HOGDescriptor:compute functions, then feed the result to SVM library such as SVMlight. This page will help you to compute the feature and get the resulting model from SVM Light. The model will be available in genfiles/descriptorVector
Besides that, would you give me your pedestrian dataset/sample? I want to try using different dataset and confirm for any change in the result