用python制作词云视频详解

# 获取视频信息
you-get -i https://www.bilibili.com/video/BV1f4411M7QC
# 下载视频
you-get --format=flv -o E:\Desktop\output https://www.bilibili.com/video/BV1f4411M7QC

    def cut_video(cls, origin_file_path, to_file_path, start, end):
        """
        视频剪辑
        :param origin_file_path: 原视频文件路径
        :param to_file_path: 保存路径
        :param start: 起始时间点
        :param end: 结束时间点
        """
        clip = VideoFileClip(origin_file_path).subclip(start, end)
        clip.write_videofile(to_file_path)
    def cut_audio(cls, origin_file_path, to_file_path, start, end):
        """
        音频剪辑
        :param origin_file_path: 原视频文件路径
        :param to_file_path: 保存路径
        :param start: 起始时间点
        :param end: 结束时间点
        """
        clip = AudioFileClip(origin_file_path).subclip(start, end)
        clip.write_audiofile(to_file_path)
    def get_audio_from_video(cls, video_file_path, to_file_path):
        """
        音频提取
        :param video_file_path: 视频文件路径
        :param to_file_path: 音频文件路径
        """
        video = VideoFileClip(video_file_path)
        video.audio.write_audiofile(to_file_path)

    def split(cls, from_file_path, to_folder_path, frames=0):
        """
        视频按帧读取并保存
        :param from_file_path: 视频路径
        :param to_folder_path: 保存路径
        :param frames: 保存帧数(张数)，为0则保存所有帧
        """
        vc = cv2.VideoCapture(from_file_path)    # cv2打开视频文件
        frames_count = vc.get(7)    # 获取视频总帧数
        c = 0
        if vc.isOpened():
            ret, frame = vc.read()          # 按帧读取视频
        else:
            ret = False
        while ret:
            if 0  frames == c:
                break
            ret, frame = vc.read()  # 读取每一视频帧，并保存至图片中
            cv2.imwrite(os.path.join(to_folder_path, '{}.jpg'.format(c)), frame)
            c += 1
            if c == frames_count - 1:
                break
            print('第 {} 张图片存放成功！'.format(c))

    def binary_option_cv2(cls, from_file_path, to_file_path):
        """
        图片二值化并保存(使用cv2)
        :param from_file_path: 原图路径
        :param to_file_path: 二值化图路径
        """
        img = cv2.imread(from_file_path)
        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
        new_gray = np.uint8((255 * (gray / 255.0) ** 1.4))
        dst = cv2.adaptiveThreshold(new_gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 15, 1)
        cv2.medianBlur(dst, 5)
        cv2.imwrite(to_file_path, dst)
    def binary_option_baidu(cls, from_file_path, to_file_path):
        """
        图片二值化并保存(使用百度人像分割)
        :param from_file_path: 原图路径
        :param to_file_path: 二值化图路径
        """
        def get_file_content(filePath):
            with open(filePath, 'rb') as fp:
                return fp.read()
        height, width, bgr = cv2.imread(from_file_path).shape
        image = get_file_content(from_file_path)
        cls.client.bodySeg(image)
        res = cls.client.bodySeg(image)
        labelmap = base64.b64decode(res['labelmap'])
        labelimg = np.frombuffer(labelmap, np.uint8)  # 转化为np数组 0-255
        labelimg = cv2.imdecode(labelimg, 1)
        labelimg = cv2.resize(labelimg, (width, height), interpolation=cv2.INTER_NEAREST)
        img_new = np.where(labelimg == 1, 255, labelimg)  # 将 1 转化为 255
        cv2.imwrite(to_file_path, img_new)

    def joint(cls, origin_folder, word_cloud_folder, to_file_path):
        """
        批量拼接图片并合成视频
        :param origin_folder: 原图文件夹
        :param word_cloud_folder: 词云图片文件夹
        :param to_file_path: 保存路径
        """
        num_list = [int(str(i).split('.')[0]) for i in os.listdir(origin_folder)]
        fps = 30  # 视频帧率，需要根据原视频帧率做调整
        height, width, _ = cv2.imread(os.path.join(origin_folder, '{}.jpg'.format(num_list[0]))).shape  # 视频高度和宽度
        width = width * 2
        # 创建一个写入操作;
        video_writer = cv2.VideoWriter(to_file_path, cv2.VideoWriter_fourcc(*'mp4v'), fps, (width, height))
        for i in sorted(num_list):
            i = '{}.jpg'.format(i)
            ori_jpg = os.path.join(origin_folder, str(i))
            word_jpg = os.path.join(word_cloud_folder, str(i))
            # com_jpg = os.path.join(Composite_path,str(i))
            ori_arr = cv2.imread(ori_jpg)
            word_arr = cv2.imread(word_jpg)
            # 利用 Numpy 进行拼接
            com_arr = np.hstack((ori_arr, word_arr))
            video_writer.write(com_arr)  # 将每一帧画面写入视频流中
            print("{}写入视频流成功".format(ori_jpg))

    def set_audio_for_video(cls, video_file_path, audio_file_path, to_file_path):
        """
        音视频合并
        :param video_file_path: 视频文件路径
        :param audio_file_path: 音频文件路径
        :param to_file_path: 保存路径
        """
        video = VideoFileClip(video_file_path)
        audio = AudioFileClip(audio_file_path)
        new_video = video.set_audio(audio)
        new_video.write_videofile(to_file_path)