Can Canny edge detection be used in Hog feature extraction?

Question

As I studied so far Canny is an edge detection algorithm and Hog is a feature extraction method. In openCV I saw some implementation of Hog feature extraction with Sobel kernels:

import numpy as np
import cv2

img = cv2.imread("")
img = np.float32(img) / 255.0

gx = cv2.Sobel(img, cv2.CV_32F, 1, 0, ksize=1)
gy = cv2.Sobel(img, cv2.CV_32F, 0, 1, ksize=1)

mag, angle = cv2.cartToPolar(gx, gy, angleInDegrees=True)
print(mag)

Instead of using Sobel is there a way to use Canny alogorithm to calculate gradients for HOG? My goal is to detect cloths in images.