In the previous post, you saw that OpenCV can extract features from an image using a technique called the Histogram of Oriented Gradients (HOG). In short, this is to convert a “patch” of an image into a numerical vector. This vector, if set up appropriately, can identify key features within that patch. While you can […]
The post How to Train a Object Detection Engine with HOG in OpenCV appeared first on MachineLearningMastery.com.
Read MoreMachineLearningMastery.com
