pixelsPerCell=(10, 10),
cellsPerBlock=(1, 1),
transform=True)
image = cv2.imread(args["image"])
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
blurred = cv2.GaussianBlur(gray, (5, 5), 0)
edged = cv2.Canny(blurred, 30, 150)
cnts, _ = cv2.findContours(edged.copy(), cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE)
cnts = sorted([(c, cv2.boundingRect(c)[0]) for c in cnts], key=lambda x: x[1])
for (c, _) in cnts:
(x, y, w, h) = cv2.boundingRect(c)
if w >= 7 and h >= 20:
roi = gray[y:y + h, x:x + w]
thresh = roi.copy()
T = mahotas.thresholding.otsu(roi)
thresh[thresh > T] = 255
thresh = cv2.bitwise_not(thresh)
thresh = hog.deskew(thresh, 20)
thresh = hog.center_extent(thresh, (20, 20))
cv2.imshow("thresh", thresh)
hist = hog.describe(thresh)
digit = model.predict([hist])[0]
print("I think that number is:{}".format(digit))
cv2.rectangle(image, (x, y), (x + w, y + h), (0, 250, 0), 1)
cv2.putText(image, str(digit), (x - 10, y - 10),
cv2.FONT_HERSHEY_SIMPLEX, 1.2, (0, 255, 0), 2)
cv2.imshow("image", image)
cv2.waitKey(0)
