def test_warpImagePair():
image_1 = cv2.imread("images/source/panorama_1/1.jpg")
image_2 = cv2.imread("images/source/panorama_1/2.jpg")
image_1_kp, image_2_kp, matches = assignment6.findMatchesBetweenImages(
image_1, image_2, 20)
homography = assignment6.findHomography(image_1_kp, image_2_kp, matches)
warped_image = assignment6.warpImagePair(image_1, image_2, homography)
# Read in answer that has the correct type / shape.
type_answer = cv2.imread("images/testing/warped_image_1_2.jpg")
print "Evaluating warpImagePair."
# Test for type.
if not type(warped_image) == type(type_answer):
raise TypeError(
("Error - warped_image has type {}. " +
"Expected type is {}.").format(type(warped_image),
type(type_answer)))
# Test for shape.
if abs(np.sum(np.subtract(warped_image.shape, type_answer.shape))) > 200:
print("WARNING - warped_image has shape {}. " +
"Expected shape is around {}.").format(warped_image.shape,
type_answer.shape)
print "warpImagePair testing passed."
return True
def test_findMatchesBetweenImages():
""" This script will perform a unit test on the matching function.
"""
# Hard code output matches.
image_1 = cv2.imread("images/source/panorama_1/1.jpg")
image_2 = cv2.imread("images/source/panorama_1/2.jpg")
print "Evaluating findMatchesBetweenImages."
image_1_kp, image_2_kp, matches = \
assignment6.findMatchesBetweenImages(image_1, image_2, 20)
if not type(image_1_kp) == list:
raise TypeError(
"Error - image_1_kp has type {}. Expected type is {}.".format(
type(image_1_kp), list))
if len(image_1_kp) > 0 and \
not type(image_1_kp[0]) == type(cv2.KeyPoint()):
raise TypeError(("Error - The items in image_1_kp have type {}. " + \
"Expected type is {}.").format(type(image_1_kp[0]),
type(cv2.KeyPoint())))
if not type(image_2_kp) == list:
raise TypeError(
"Error - image_2_kp has type {}. Expected type is {}.".format(
type(image_2_kp), list))
if len(image_2_kp) > 0 and \
not type(image_2_kp[0]) == type(cv2.KeyPoint()):
raise TypeError(("Error - The items in image_2_kp have type {}. " + \
"Expected type is {}.").format(type(image_2_kp[0]),
type(cv2.KeyPoint())))
if not type(matches) == list:
raise TypeError(
"Error - matches has type {}. Expected type is {}. ".format(
type(matches), list))
if len(matches) > 0 and not type(matches[0]) == type(cv2.DMatch()):
raise TypeError(("Error - The items in matches have type {}. " + \
"Expected type is {}.").format(type(matches[0]),
type(cv2.DMatch())))
print "findMatchesBetweenImages testing passed."
return True
panorama_filepaths = []
for filename in filenames:
name, ext = os.path.splitext(filename)
if ext.lower() in exts:
panorama_filepaths.append(os.path.join(dirname, filename))
panorama_filepaths.sort()
for pan_fp in panorama_filepaths:
panorama_inputs.append(cv2.imread(pan_fp))
if len(panorama_inputs) > 1:
print ("Found {} images in folder {}. " + \
"Processing them.").format(len(panorama_inputs), dirname)
else:
continue
print "Computing matches."
cur_img = panorama_inputs[0]
for new_img in panorama_inputs[1:]:
image_1_kp, image_2_kp, matches = \
assignment6.findMatchesBetweenImages(cur_img, new_img, 5)
print "Computing homography."
homography = assignment6.findHomography(image_1_kp, image_2_kp,
matches)
print "Warping the image pair."
cur_img = assignment6.warpImagePair(cur_img, new_img, homography)
print "Writing output image to {}".format(outfolder)
cv2.imwrite(os.path.join(outfolder, setname) + ".jpg", cur_img)