To normalize a 5x5 array column-wise using NumPy, you can generate the array with numpy.random.rand. For column-wise normalization, compute the mean and standard deviation of each column using numpy.mean and numpy.std with the axis parameter set to 0. Subtract the mean and divide by the ...
intersection: (default) the histogram intersection (Swain, Ballard) @return a numpy array containg the comparison value between each pair image-model """ if(self.hist_type=='HSV'): image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV) elif(self.hist_type=='GRAY'): image = cv2.cvtColor(image...