def main():
# construct the argument parse and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("image", help="path to the image file")
args = ap.parse_args()
image = cv2.imread(args.image)
image = resize(image, width=2000)
pts = detect_englobing_polygon(image)
pts = [tuple(*el) for el in pts]
warped = process(image, pts)
pts = np.array(pts, np.int32)
pts = pts.reshape((-1,1,2))
image = cv2.polylines(image,[pts],True,(0,255,255), 10)
cv2.imshow("Original", resize(image, width=1000))
cv2.imshow("Warped", resize(warped, width=1000))
cv2.waitKey(0)
def main():
import sys
# get image
img = cv2.imread(sys.argv[1])
img = resize(img, width=500)
cv2.namedWindow('test')
fs = CvFilterStack(img, 'test')
fs.filters = [GreyFilter(), GaussianFilter(), CannyFilter()]
# fs.filters = [ResizeFilter(), GreyFilter(), GaussianFilter(), CannyFilter()]
fs.create_trackbars()
fs.imshow()
cv2.waitKey(0)
def test_resize():
array = np.ndarray(shape=(2000, 3000), dtype='uint8')
try:
resize(array)
assert False, "should have raise exception"
except ValueError as e:
pass
assert (200, 300) == resize(array, ratio=0.1).shape[:2]
assert (200, 300) == resize(array, height=200).shape[:2]
assert (200, 300) == resize(array, width=300).shape[:2]
assert (220, 330) == resize(array, height=220, width=330).shape[:2]
def apply(self, image):
return resize(image, ratio=(self.ratio + 1) * .1)
