def testApplyHomographyPoster():
signH = np.array(
[
[1.12265192e00, 1.44940136e-01, 1.70000000e02],
[8.65164180e-03, 1.19897030e00, 9.50000000e01],
[2.55704864e-04, 8.06420365e-04, 1.00000000e00],
]
)
green = io.getImage("green.png")
poster = io.getImage("poster.png")
a6.applyHomography(poster, green, signH, True)
io.imwrite(green, "HWDueAt9pm_applyHomography.png")
def testComputeAndApplyHomographyPoster():
green = io.getImage("green.png")
poster = io.getImage("poster.png")
h, w = poster.shape[0] - 1, poster.shape[1] - 1
pointListPoster = [np.array([0, 0, 1]), np.array([0, w, 1]), np.array([h, w, 1]), np.array([h, 0, 1])]
pointListT = [np.array([170, 95, 1]), np.array([171, 238, 1]), np.array([233, 235, 1]), np.array([239, 94, 1])]
listOfPairs = zip(pointListPoster, pointListT)
H = a6.computeHomography(listOfPairs)
# print H
a6.applyHomography(poster, green, H, True)
io.imwrite(green, "HWDueAt9pm_computeHomography.png")
def testComputeAndApplyHomographyPrudential():
pru = io.getImage("pruSkyline.png")
poster = io.getImage("andrewTag.png")
h, w = poster.shape[0]-1, poster.shape[1]-1
pointListPoster=[np.array([0, 0, 1]), np.array([0, w, 1]), np.array([h, w, 1]), np.array([h, 0, 1])]
#pointListPru=[np.array([78, 120, 1]), np.array([99, 160, 1]), np.array([150, 159, 1]), np.array([132, 118, 1])]
pointListPru=[np.array([78, 120, 1], dtype=np.float64), np.array([99, 160, 1], dtype=np.float64), np.array([207, 156, 1], dtype=np.float64), np.array([194, 115, 1], dtype=np.float64)]
listOfPairs=zip(pointListPoster, pointListPru)
H = a6.computeHomography(listOfPairs)
#print H
a6.applyHomography(poster, pru, H, True)
io.imwrite(pru, "Fun.png")
def getPNGsInDir(path):
fnames = glob.glob(path + "*.png")
pngs = list()
for f in fnames:
imi = io.getImage(f)
pngs.append(imi)
return pngs
