else:
x, y, w, h = rect_generate(roi)
digit_cut = roi[y:y + h, x:x + w]
hip = int(math.sqrt(w**2 + h**2 + 30))
hh = int((hip - h) / 2)
ww = int((hip - w) / 2)
mat = np.zeros((hip, hip)).astype('uint8')
mat[hh:hh + h, ww:ww + w] = digit_cut
inv = cv.bitwise_not(mat.copy(), roi.copy())
## Guardar los numeros en la matriz
scale = (cv.resize(inv, (28, 28), interpolation=cv.INTER_AREA))
norm = scale / 255
x = norm.reshape(1, 28, 28, 1).astype('float32')
m[i, j] = CNN.predict(x, verbose=0).argmax()
output = trans.copy()
k = m.copy()
plt.imshow(trans, 'gray')
plt.show()
dfs = DFS(m)
dfs.solve_sudoku()
output = fill_image(m, k, num_array, output)
result = cv.addWeighted(trans, 0.7, output, 0.2, 0)
plt.imshow(result, 'gray')
plt.show()
