使用Python生成跑马灯视频的完整代码

pip install opencv-python Pillow

from PIL import Image, ImageDraw, ImageFont
import cv2
import numpy as np
from threading import Thread

def generate_video(text):
    # 视频分辨率
    width = 1920
    height = 1080

    # 背景颜色和字体颜色
    background_color = (255,0, 0, 255) # 红色背景
    text_color = (255, 255, 255) # 白色字体

    # 字体大小和类型
    font_size = int(height * 0.60)
    font = ImageFont.truetype('msyh.ttc', font_size)

    # 计算文本大小
    text_size = font.getsize(text)

    # 计算视频长度
    video_length = int((width + text_size[0]) / 20)

    # 创建视频写入器
    fourcc = cv2.VideoWriter_fourcc(*'mp4v')
    video_writer = cv2.VideoWriter(r'E:\Template\word\marquee.mp4', fourcc, 60, (width, height))

    def update_progress(progress):
        print('\r[{}{}] {:.2f}%'.format('#' * int(progress * 10), ' ' * (10 - int(progress * 10)), progress * 100), end='')

    def export_video():
        for i in range(video_length):
            # 创建背景图像
            img = Image.new('RGB', (width, height), background_color)

            # 添加文本
            draw = ImageDraw.Draw(img)
            x = width - i * 20
            y = int(height / 2 - text_size[1] / 2)
            draw.text((x, y), text, fill=text_color, font=font)

            # 写入视频帧
            video_writer.write(cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR))

            # 更新进度条
            update_progress(i / video_length)

        # 关闭视频写入器
        video_writer.release()
        print('\n视频导出完成！')

    # 使用多线程优化视频导出速度
    export_thread = Thread(target=export_video)
    export_thread.start()

generate_video('这里是您要显示的文本')

font = ImageFont.truetype('msyh.ttc', font_size)