convert_video.py 文件源码

python
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项目:neural_style_synthesizer 作者: dwango 项目源码 文件源码
def convert_video(self, video_path, output_directory, skip=0, resize=400):
        video = cv2.VideoCapture(video_path)
        video_output = None
        i = 0
        img_init = None
        while video.get(cv2.cv.CV_CAP_PROP_POS_AVI_RATIO) < 1.0:
            i += 1
            for _ in range(skip+1):
                status, bgr_img = video.read()
            img = PIL.Image.fromarray(cv2.cvtColor(
                bgr_img,
                cv2.COLOR_BGR2RGB
            ))
            img = neural_art.utility.resize_img(img, resize)
            if video_output is None:
                video_output = cv2.VideoWriter(
                    "{}/out.avi".format(output_directory),
                    fourcc=0, #raw
                    fps=video.get(cv2.cv.CV_CAP_PROP_FPS) / (skip + 1),
                    frameSize=img.size,
                    isColor=True
                )
                if(not video_output.isOpened()):
                    raise(Exception("Cannot Open VideoWriter"))
            if img_init is None:
                img_init = img
            converted_img = self.frame_converter.convert(img, init_img=img_init, iteration=self.iteration)
            converted_img.save("{}/converted_{:05d}.png".format(output_directory, i))
            img_init = converted_img
            video_output.write(cv2.cvtColor(
                numpy.asarray(converted_img),
                cv2.COLOR_RGB2BGR
            ))
        video_output.release()
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