Python3视频转字符动画的实例代码

Python  /  管理员 发布于 7年前   195

Python3视频转字符动画，具体代码如下所示：

# -*- coding:utf-8 -*-import jsonimport osimport subprocessfrom pathlib import Pathfrom cv2 import cv2import numpy as npfrom time import timeimport webbrowserplay_chars_js = '''let i = 0;window.setInterval(function(){  let img = frames[i++];  let html = ""  for(let line of img){    for(let char of line){      let [[r,g,b], ch] = char;      html += '<span style="color:rgb(' + r + ', ' + g + ', '+ b + ');">'+ ch + '</span>'      // html += '<span style="background-color:rgb(' + r + ', ' + g + ', '+ b + ');">'+ ch + '</span>'    }    html += "<br>"  }  document.getElementsByClassName("video-panel")[0].innerHTML = html}, 1000/fps);document.getElementsByTagName("audio")[0].play();'''class VideoToHtml:  # 像素形状，因为颜色已经用rgb控制了，这里的pixels其实可以随意排  pixels = "$#@&%ZYXWVUTSRQPONMLKJIHGFEDCBA098765432?][}{/)(><zyxwvutsrqponmlkjihgfedcba*+1-."  def __init__(self, video_path, fps_for_html=8, time_interval=None):    """    :param video_path: 字符串, 视频文件的路径    :param fps_for_html: 生成的html的帧率    :param time_interval: 用于截取视频（开始时间，结束时间）单位秒    """    self.video_path = Path(video_path)    # 从指定文件创建一个VideoCapture对象    self.cap = cv2.VideoCapture(video_path)    self.width = self.cap.get(cv2.CAP_PROP_FRAME_WIDTH)    self.height = self.cap.get(cv2.CAP_PROP_FRAME_HEIGHT)    self.frames_count_all = self.cap.get(cv2.CAP_PROP_FRAME_COUNT)    self.fps = self.cap.get(cv2.CAP_PROP_FPS)    self.resize_width = None    self.resize_height = None    self.frames_count = 0    self.fps_for_html = fps_for_html    self.time_interval = time_interval  def video2mp3(self):    """#调用ffmpeg获取mp3音频文件"""    mp3_path = self.video_path.with_suffix('.mp3')    subprocess.call('ffmpeg -i ' + str(self.video_path) + ' -f mp3 ' + str(mp3_path), shell=True)    return mp3_path  def set_width(self, width):    """只能缩小，而且始终保持长宽比"""    if width >= self.width:      return False    else:      self.resize_width = width      self.resize_height = int(self.height * (width / self.width))      return True  def set_height(self, height):    """只能缩小，而且始终保持长宽比"""    if height >= self.height:      return False    else:      self.resize_height = height      self.resize_width = int(self.width * (height / self.height))      return True  def resize(self, img):    """    将img转换成需要的大小    原则：只缩小，不放大。    """    # 没指定就不需resize了    if not self.resize_width or not self.resize_height:      return img    else:      size = (self.resize_width, self.resize_height)      return cv2.resize(img, size, interpolation=cv2.INTER_CUBIC)  def get_img_by_pos(self, pos):    """获取到指定位置的帧"""    # 把指针移动到指定帧的位置    self.cap.set(cv2.CAP_PROP_POS_FRAMES, pos)    # cap.read() 返回值介绍：    #  ret 布尔值，表示是否读取到图像    #  frame 为图像矩阵，类型为 numpy.ndarray.    ret, frame = self.cap.read()    return ret, frame  def get_frame_pos(self):    """生成需要获取的帧的位置，使用了惰性求值"""    step = self.fps / self.fps_for_html    # 如果未指定    if not self.time_interval:      self.frames_count = int(self.frames_count_all / step) # 更新count      return (int(step * i) for i in range(self.frames_count))    # 如果指定了    start, end = self.time_interval    pos_start = int(self.fps * start)    pos_end = int(self.fps * end)    self.frames_count = int((pos_end - pos_start) / step) # 更新count    return (pos_start + int(step * i) for i in range(self.frames_count))  def get_imgs(self):    assert self.cap.isOpened()    for i in self.get_frame_pos():      ret, frame = self.get_img_by_pos(i)      if not ret:        print("读取失败，跳出循环")        break      yield self.resize(frame) # 惰性求值    # 结束时要释放空间    self.cap.release()  def get_char(self, gray):    percent = gray / 255 # 转换到 0-1 之间    index = int(percent * (len(self.pixels) - 1)) # 拿到index    return self.pixels[index]  def get_json_pic(self, img):    """测试阶段，不实用"""    json_pic = []    # 宽高刚好和size相反，要注意。（这是numpy的特性。。）    height, width, channel = img.shape    # 转换成灰度图，用来选择合适的字符    img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)    for y in range(height):      line = []      for x in range(width):        r, g, b = img[y][x]        gray = img_gray[y][x]        char = self.get_char(gray)        line.append([[int(r), int(g), int(b)], char])      json_pic.append(line)    return json.dumps(json_pic)  def write_html_with_json(self, file_name):    """测试阶段，不实用"""    mp3_path = self.video2mp3()    time_start = time()    with open(file_name, 'w') as html:      # 要记得设置monospace等宽字体，不然没法玩      html.write('<!DOCTYPE html>''<html>''<body style="font-family: monospace; font-size: small; font-weight: bold; text-align: center; line-height: 0.8;">''<div class="video-panel"></div>'f'<audio src="https:/article/{mp3_path.name}" autoplay controls></audio>''</body>''<script>''var frames=[\n')      try:        i = 0        for img in self.get_imgs():          json_pic = self.get_json_pic(img)          html.write(f"{json_pic},")          if i % 20:print(f"进度：{i/self.frames_count * 100:.2f}%, 已用时：{time() - time_start:.2f}")          i += 1      finally:        html.write('\n];\n'  f'let fps={self.fps_for_html};\n'  f'{play_chars_js}'  '</script>\n'  '</html>')def main():  # 视频路径，换成你自己的  video_path = "ceshi.mp4"  video2html = VideoToHtml(video_path, fps_for_html=8)  video2html.set_width(120)  html_name = Path(video_path).with_suffix(".html").name  video2html.write_html_with_json(html_name)if __name__ == "__main__":  main()

总结

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