detecting players with HOG

hog_test.py

#Detecting humans with HOG
path2xml = r'C:\Users\vmurc\Documents\GitHub\opencv\data\haarcascades\haarcascade_fullbody.xml'
fbCascade = cv2.CascadeClassifier(path2xml)
# Initializing the HOG person detector
image = cv2.cvtColor(rgb_img, cv2.COLOR_RGB2GRAY)

hog = cv2.HOGDescriptor()
hog.setSVMDetector(cv2.HOGDescriptor_getDefaultPeopleDetector())
   
# Resizing the Image
image = imutils.resize(image, width = min(1000, image.shape[1]))
# Detecting all the regions in the image that has a person inside it
#(regions, _) = hog.detectMultiScale(image, winStride = (2,2), padding = (4, 4), scale = 1.1)
players = fbCascade.detectMultiScale(image, scaleFactor = 1.005, minSize=(20, 20), minNeighbors = 1)                                    
image2 = rgb_img.copy()
# Drawing the regions in the Image
i=0
for (x, y, w, h) in players:
    cv2.rectangle(image2, (x, y),  (x + w, y + h), (0, 255, 0), 3)
    currentbox = image2[y:y+h,x:x+w]
    i+=1