all_together.py

        # Once the list is full with all the images we need, we can start to
        # combine it into the final output image
        if (framesTaken == framesSpecified):
            resultImgs = []
            for i in framesTakenList:
                # here we just add a whitespace rectangle as a top margin
                resultImgs.append(cv2.imread(i))
                im = np.zeros((
                    borderSize*2,
                    cv2.imread(i).shape[1],
                    3), np.uint8)
                cv2.rectangle(
                    im,
                    (0, 0),
                    (cv2.imread(i).shape[1], borderSize * 2),
                    (255, 255, 255), -1)
                # here we just add a whitespace rectangle as a bottom margin
                resultImgs.append(im)

            # Now that we have the list of all the needed images,
            # we concatinate them vertically and form the final image
            final = np.concatenate(resultImgs, axis=0)

            # The final image still needs an outside border, so the last task
            # is to create this border line
            finalShape = final.shape
            w = finalShape[1]
            h = finalShape[0]
            base_size = h+borderSize, w+borderSize, 3
            base = np.zeros(base_size, dtype=np.uint8)
            # We combine our main image with the border line
            cv2.rectangle(
                base,
                (0, 0),
                (w + borderSize, h + borderSize),
                (255, 255, 255), borderSize)
            base[
                (borderSize/2):h+(borderSize/2),
                (borderSize/2):w+(borderSize/2)
                ] = final

            # The final output image is ready.
            # We now export it to the root directory
            cv2.imwrite("result_image.png", base)
            sys.exit(app.exec_())

        # If the image capture process continues, we resume playing the video
        self.PlayPause() if wasPlaying else None