请欣赏另类的老鼠舞
字符老鼠舞
与原版对比
实现过程
1. 安装库
pip install numpy
pip install Pillow
pip install opencv-python
pip install moviepy2. 读取视频帧并转换为灰度图
import cv2def make_video(input_video_path, output_video_path):video_cap = cv2.VideoCapture(input_video_path)if not video_cap.isOpened():print("无法打开视频文件")returnwhile video_cap.isOpened():ret, frame = video_cap.read()if not ret:breakframe = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)video_cap.release()通过 cv2 我们可以获取到视频的每一帧，并对每一帧进行处理。
为了能够将视频变为字符，我们需要获取视频每一帧的灰度图，这样就可以通过计算判断每一个像素点对应的字符了。
通常视频每一个像素是三通道RGB色彩，当变为灰度图的时候将变为0~255的单通道色彩。
3. 缩放帧
video_width = video_cap.get(cv2.CAP_PROP_FRAME_WIDTH)
video_height = video_cap.get(cv2.CAP_PROP_FRAME_HEIGHT)
rate = video_height / video_width
font_size = 10
letter_count = 50
scale_size = (int(letter_count), int(letter_count * rate))原来视频每一帧画面比较大，我们后续需要使用字符来展示视频，因此需要将每一帧的像素要与字符相当。
while video_cap.isOpened():ret, frame = video_cap.read()if not ret:breakframe = cv2.resize(frame, scale_size)frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)4. 制作字符帧
import numpy as np
from PIL import Image, ImageDraw, ImageFontASCII_CHARS = '@%#*+=-:. 'def get_ascii_text(gray):'''将 0~1 的数值与字符相匹配:param gray: 0~1:return: 字符'''index = int(gray * len(ASCII_CHARS))index = index if index <= (len(ASCII_CHARS) - 1) else indexreturn ASCII_CHARS[index]def make_ascii_frame(frame, size, font_size):'''将帧进行归一化操作，并将其变为字符帧:param frame: 帧:param size: 帧的画面大小:param font_size: 字体大小:return: 字符帧'''image = Image.new("RGB", size, color="black")draw = ImageDraw.Draw(image)font = ImageFont.load_default(font_size)frame = frame / 255for row_index, row_value in enumerate(frame):for col_index, col_value in enumerate(row_value):draw.text((col_index * font_size, row_index * font_size),get_ascii_text(col_value),font=font,fill="white")return cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR)通过 Pillow 我们可以自定义我们的画面，然后返回一个 cv2 可用的数据。
ASCII_CHARS 是我们画面的构成元素，可以自定义，只要满足类似颜色渐变的效果即可。
这里我们还需要把之前缩放的大小转换为画面帧的大小：
real_size = (scale_size[0] * font_size, scale_size[1] * font_size)在获取帧的地方调用：
while video_cap.isOpened():ret, frame = video_cap.read()if not ret:breakframe = cv2.resize(frame, scale_size)frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)frame = make_ascii_frame(frame, real_size, font_size)5. 输出视频
def make_video(input_video_path, output_video_path):video_cap = cv2.VideoCapture(input_video_path)if not video_cap.isOpened():print("无法打开视频文件")returnfps = video_cap.get(cv2.CAP_PROP_FPS)video_width = video_cap.get(cv2.CAP_PROP_FRAME_WIDTH)video_height = video_cap.get(cv2.CAP_PROP_FRAME_HEIGHT)rate = video_height / video_widthfourcc = cv2.VideoWriter_fourcc(*"mp4v")font_size = 10letter_count = 50scale_size = (int(letter_count), int(letter_count * rate))real_size = (scale_size[0] * font_size, scale_size[1] * font_size)out_writer = cv2.VideoWriter('temp_ascii_video.mp4', fourcc, fps, real_size)while video_cap.isOpened():ret, frame = video_cap.read()if not ret:breakframe = cv2.resize(frame, scale_size)frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)frame = make_ascii_frame(frame, real_size, font_size)out_writer.write(frame)video_cap.release()out_writer.release()我们使用 cv2.VideoWriter 来输出我们的字符视频，不过需要注意的是这样的视频是没有声音的，因此继续优化，添加声音。
6. 为视频添加声音
from moviepy import VideoFileClip, AudioFileCliporiginal_audio = AudioFileClip(input_video_path)
new_video = VideoFileClip('temp_ascii_video.mp4')
final_video = new_video.with_audio(original_audio)final_video.write_videofile(output_video_path)new_video.close()
original_audio.close()7. 完整代码
import os
import timeimport cv2
import numpy as np
from PIL import Image, ImageDraw, ImageFont
from moviepy import VideoFileClip, AudioFileClip# ASCII字符集，用于表示不同的灰度级别
ASCII_CHARS = '@%#*+=-:. 'def get_ascii_text(gray):'''将 0~1 的数值与字符相匹配:param gray: 0~1:return: 字符'''index = int(gray * len(ASCII_CHARS))index = index if index <= (len(ASCII_CHARS) - 1) else indexreturn ASCII_CHARS[index]def make_ascii_frame(frame, size, font_size):'''将帧进行归一化操作，并将其变为字符帧:param frame: 帧:param size: 帧的画面大小:param font_size: 字体大小:return: 字符帧'''image = Image.new("RGB", size, color="black")draw = ImageDraw.Draw(image)font = ImageFont.load_default(font_size)frame = frame / 255for row_index, row_value in enumerate(frame):for col_index, col_value in enumerate(row_value):draw.text((col_index * font_size, row_index * font_size),get_ascii_text(col_value),font=font,fill="white")return cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR)def make_video(input_video_path, output_video_path):video_cap = cv2.VideoCapture(input_video_path)if not video_cap.isOpened():print("无法打开视频文件")returnfps = video_cap.get(cv2.CAP_PROP_FPS)video_width = video_cap.get(cv2.CAP_PROP_FRAME_WIDTH)video_height = video_cap.get(cv2.CAP_PROP_FRAME_HEIGHT)rate = video_height / video_widthfourcc = cv2.VideoWriter_fourcc(*"mp4v")font_size = 10letter_count = 50scale_size = (int(letter_count), int(letter_count * rate))real_size = (scale_size[0] * font_size, scale_size[1] * font_size)out_writer = cv2.VideoWriter('temp_ascii_video.mp4', fourcc, fps, real_size)while video_cap.isOpened():ret, frame = video_cap.read()if not ret:breakframe = cv2.resize(frame, scale_size)frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)frame = make_ascii_frame(frame, real_size, font_size)out_writer.write(frame)video_cap.release()out_writer.release()original_audio = AudioFileClip(input_video_path)new_video = VideoFileClip('temp_ascii_video.mp4')final_video = new_video.with_audio(original_audio)final_video.write_videofile(output_video_path)new_video.close()original_audio.close()if __name__ == "__main__":video_path = "MouseVideo.mp4"# 输入视频路径audio_output_video_path = "output_mouse_ascii_video.mp4"make_video(video_path, audio_output_video_path)结尾
成功了，我们可以将任意视频转换为字符视频了，如果你喜欢这篇文章，不要吝啬你的赞，那将是我源源不断创作的动力。
