Python自动化短视频生成脚本实现热门视频流水线生产

def dowmloadimg(html, keyword, startNum):
    headers = {'user-agent': 'Mozilla/5.0'}  # 请求头
    pic_url = re.findall('"objURL":"(.*?)",', html, re.S)  # 找到符合正则规则的网址
    num = len(pic_url)
    i = startNum
    subroot = root
    txtpath = subroot + '/download_img.txt'
    print('找到关键词:' + keyword + '的图片，开始下载图片...')
    for each in pic_url:
        a = '第' + str(i + 1) + '张图片，图片地址:' + str(each) + '\n'
        b = '正在下载' + a
        print(b)
        path = subroot + '/' + str(i + 1)
        try:
            if not os.path.exists(subroot):
                os.makedirs(subroot)
            if not os.path.exists(path):
                pic = requests.get(each, headers=headers, timeout=10)
                with open(path + '.jpg', 'wb') as f:
                    f.write(pic.content)
                    f.close()
                with open(txtpath, 'a') as f:
                    f.write(a)
                    f.close()
        except:
            traceback.print_exc()
            print('ERROR！！！当前图片无法下载！！！')
            continue
        i += 1
    return i

words = input("请输入关键字: ")
root = './' + words
if not os.path.exists(root):
    os.makedirs(root)
# 参数为需爬取的页数
for i in range(2):
    url = 'http://image.baidu.com/search/flip?tn=baiduimage&ie=utf-8&word=' + words + "&pn=" + str(
        pageId) + "&gsm=?&ct=&ic=0&lm=-1&width=0&height=0"
    pageId += 20
    html = requests.get(url, headers=headers)
    lastNum = dowmloadimg(html.text, words, lastNum, )  # 执行一次获取60张图

# 将所有图像resize成600*800，并保存
def resize_image(image_name):
    # 获取输入文件夹中的所有文件
    files = os.listdir('./' + image_name)
    output_dir = './resize/'
    # 判断输出文件夹是否存在，不存在则创建
    if not os.path.exists(output_dir):
        os.makedirs(output_dir)
    for file in files:
        if file[-4:] == ".jpg":
            img = Image.open('./' + image_name + '/' + file)
            # 将所有图片均转成RGB，防止图片格式异常
            img = img.convert('RGB')
            # resize图片大小设置成600*800
            img = img.resize((600, 800), Image.ANTIALIAS)
            img.save(os.path.join(output_dir, file))

def charts2video(img_path, video_path):
    """将给定目录下的图片转成视频
        img_path: 图片路径
        video_path: 输出视频的路径名称
    返回: 图片转成的视频
    """
    images = os.listdir(img_path)
    images.sort(key=lambda x: int(x[:-4]))  # 以名称字符串的数字从小到大排序　　
    fps = 1.5  # 帧数
    fourcc = cv2.VideoWriter_fourcc('D', 'I', 'V', 'X')
    im = Image.open(img_path + images[0])
    video_writer = cv2.VideoWriter(video_path, fourcc, fps, im.size)
    for img_i in images:
        frame = cv2.imread(img_path + img_i)
        print('开始将 ' + img_i + ' 加入视频\n')
        video_writer.write(frame)  # 图片尺寸必须和视频尺寸一样，不然不会被加入视频中！！！
    video_writer.release()

def get_video_time(filename):
  cap = cv2.VideoCapture(filename)
  if cap.isOpened():
    rate = cap.get(5)
    frame_num =cap.get(7)
    duration = frame_num/rate
    return duration
  return -1
t = get_video_duration('./你的名字.mp4')

pip install pychorus

from pychorus import find_and_output_chorus
chorus_start_sec = find_and_output_chorus("./错位时空 - 艾辰.mp3", "./错位时空_high.wav", t)

# 截取背景音乐
audio_background = mpy.AudioFileClip('./错位时空 - 艾辰.mp3').subclip(20, 90)
audio_background.write_audiofile('bk.mp3')

def add_music():
    # 读取代码视频
    my_clip = mpy.VideoFileClip('你的名字.mp4')
    # 截取背景音乐
    audio_background = mpy.AudioFileClip('错位时空_high.wav')
    # 视频中插入音频
    final_clip = my_clip.set_audio(audio_background)
    # 保存最终视频
    final_clip.write_videofile('result.mp4')