Revision history [back]

HOG descriptor output

I am figuring out the structure of the HOGDescriptor.execute in Python using the following code:

import cv2

 win_size = (64, 128)
 img = cv2.imread("test.png")
 img = cv2.resize(img, win_size)
 img = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
 d = cv2.HOGDescriptor()
 hog = d.compute(img)

print hog.shape

The output is (3780, 1), so it is a 3780-element list. Why? I thought it should be: the number of cells in the image (64*128)/(8*8) = 128 multiplied by the number of bins per cell, i.e. 128*9 = 1152.

HOG descriptor output

I am figuring out the structure of the HOGDescriptor.execute in Python using the following code:

import cv2
cv2 win_size = (64, 128) 128) img = cv2.imread("test.png") cv2.imread("test.png") img = cv2.resize(img, win_size) win_size) img = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY) cv2.COLOR_RGB2GRAY) d = cv2.HOGDescriptor() cv2.HOGDescriptor() hog = d.compute(img)
d.compute(img) print hog.shape

The output is (3780, 1), so it is a 3780-element list. Why? I thought it should be: the number of cells in the image (64*128)/(8*8) = 128 multiplied by the number of bins per cell, i.e. 128*9 = 1152.