Can't parse tvecs from pose estimation using SolvePnP

Python
,
6

for calibration I used about ~40-50 chessboard images and code below:

# termination criteria
criteria = (cv.TERM_CRITERIA_EPS + cv.TERM_CRITERIA_MAX_ITER, 30, 0.001)
# prepare object points, like (0,0,0), (1,0,0), (2,0,0) ....,(6,5,0)
objp = np.zeros((6*9, 3), np.float32)
#scale for size of chessboard, measured to be 21.8 mm
objp[:, :2] = np.mgrid[0:9, 0:6].T.reshape(-1, 2)*21.8
# Arrays to store object points and image points from all the images.
objpoints = [] # 3d point in real world space
imgpoints = [] # 2d points in image plane.

then

for fname in images:
    img = cv.imread(fname)
    gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
    # Find the chess board corners
    ret, corners = cv.findChessboardCorners(gray, (9, 6), None)

    # If found, add object points, image points (after refining them)
    if ret == True:
        print(fname)
        objpoints.append(objp)
        corners2 = cv.cornerSubPix(gray, corners, (11, 11), (-1, -1), criteria)
        imgpoints.append(corners)
        # Draw and display the corners
        cv.drawChessboardCorners(img, (9, 6), corners2, ret)
        cv.imshow('img', img)
        cv.waitKey(500)

cv.destroyAllWindows()

finally

ret, cmtx, dist, rvecs, tvecs = cv.calibrateCamera(objpoints, imgpoints, gray.shape[::-1], None, None)

why is your camera picture 454 by 304? why was it earlier, annotated, 768 by 446?
Sorry about that, I cropped my face out. I can resend with an image of true size w/out my mug in it

Here is a link to gdrive with a sample of the images i used for calibration: OpenCV - Google Drive