005968dcfbd2a8f70d8ea3957c8abba60a12492d,pliers/filters/video.py,FrameSamplingFilter,_filter,#FrameSamplingFilter#,38

Before Change

            new_idx = range(int(video.fps * video.clip.duration))[::self.every]
        elif self.hertz is not None:
            interval = int(video.fps / self.hertz)
            new_idx = range(int(video.fps * video.clip.duration))[::interval]
        elif self.top_n is not None:
            import cv2
            diffs = []
            for i, img in enumerate(video.frames):
                if i == 0:
                    last = img
                    continue
                diffs.append(sum(cv2.sumElems(cv2.absdiff(last.data, img.data))))
                last = img
            new_idx = sorted(range(len(diffs)),
                             key=lambda i: diffs[i],
                             reverse=True)[:self.top_n]

        frame_index = sorted(list(set(video.frame_index).intersection(new_idx)))

        return VideoFrameCollectionStim(filename=video.filename,
                                        clip=video.clip,
                                        frame_index=frame_index)

After Change

        super(FrameSamplingFilter, self).__init__()

    def _filter(self, video):
        if not isinstance(video, VideoStim):
            raise TypeError("Currently, frame sampling is only supported for "
                            "complete VideoStim inputs.")

        if self.every is not None:
            new_idx = range(video.n_frames)[::self.every]
        elif self.hertz is not None:
            interval = video.fps / float(self.hertz)
            new_idx = np.arange(0, video.n_frames, interval).astype(int)
            new_idx = list(new_idx)
        elif self.top_n is not None:
            import cv2
            diffs = []
            for i, img in enumerate(video.frames):

Instances