Disparity map tutorial SADWindowSize and image can not float - python-2.7

Question

I am new to Python and have been following a basic tutorial (https://docs.opencv.org/3.0-beta/doc/py_tutorials/py_calib3d/py_depthmap/py_depthmap.html#py-depthmap) for creating a disparity map from two images, but I have had several errors.
I am using Python 2.7, OpenCV 3.3.0, matplotlib 1.3, numpy 1.10.2
This is my code v1:
import numpy as np
import cv2
from matplotlib import pyplot as plt
imgL = cv2.imread("C:\Python27\tsukuba_l.png,0")
imgR = cv2.imread("C:\Python27\tsukuba_r.png,0")
stereo = cv2.StereoBM_create(numDisparities=16, blockSize=15)
disparity = stereo.compute(imgL,imgR)
plt.imshow(disparity,'gray')
plt.show()
I corrected the stereoBM function from the tutorial to match the latest openCV version cv2.createStereoBM to cv2.StereoBM_create and got an error. (-211) SADWindowSize must be odd, be within 5..255 and not be larger than image width or height in function on the 2nd to last line (disparity=...). I tried reducing the block size but there was still an error, I have checked the image pathways are correct and both images are the same size.
I then have attempted to use StereoSGBM_create instead, v2 code:
import numpy as np
import cv2
from matplotlib import pyplot as plt
imgL = cv2.imread("C:\Python27\tsukuba_l.png,0")
imgR = cv2.imread("C:\Python27\tsukuba_r.png,0")
stereo = cv2.StereoSGBM_create(minDisparity=5, numDisparities=16, blockSize=5)
disparity = stereo.compute(imgL,imgR)
plt.imshow(disparity,'gray')
plt.show()
However this returns:
TypeError: Image data can not convert to float.
Any reason why these errors maybe occurring?

Answer 1

Typo error :
change
imgL = cv2.imread("C:\Python27\tsukuba_l.png,0")
imgR = cv2.imread("C:\Python27\tsukuba_r.png,0")
to
imgL = cv2.imread("C:\Python27\tsukuba_l.png",0)
imgR = cv2.imread("C:\Python27\tsukuba_r.png",0)
or better :
imgL = cv2.imread("C:\Python27\tsukuba_l.png",cv2.IMREAD_GRAYSCALE)
imgR = cv2.imread("C:\Python27\tsukuba_r.png",cv2.IMREAD_GRAYSCALE)
from cv2.imread
Warning Even if the image path is wrong, it won’t throw any error,