def merge_images(img0, img1, img2): """ takes images in bgr order """ images = profile.evaluate(lambda: load_images([img0, img1, img2]), "Image loading") for i in images: assert i.depth == cv.IPL_DEPTH_8U images = profile.evaluate(lambda: resize(images), "Image resizing") mergedImage = cv.CreateImage(min_size(images), cv.IPL_DEPTH_8U, 3) profile.evaluate(lambda: cv.Merge(images[0], images[1], images[2], None, mergedImage), "Image merging") return mergedImage
def merge_images(img0, img1, img2):
""" takes images in bgr order """
images = profile.evaluate(lambda: load_images([img0, img1, img2]),
"Image loading")
for i in images:
assert i.depth == cv.IPL_DEPTH_8U
images = profile.evaluate(lambda: resize(images), "Image resizing")
mergedImage = cv.CreateImage(min_size(images), cv.IPL_DEPTH_8U, 3)
profile.evaluate(
lambda: cv.Merge(images[0], images[1], images[2], None, mergedImage),
"Image merging")
return mergedImage
def merge_to_file(img0, img1, img2, filePath):
""" Takes images in rgb order """
img = merge_images(img2, img1, img0)
profile.evaluate(lambda: cv.SaveImage(filePath, img), "Image saving")
def merge_to_file(img0, img1, img2, filePath): """ Takes images in rgb order """ img = merge_images(img2, img1, img0) profile.evaluate(lambda: cv.SaveImage(filePath, img), "Image saving")
