利用Python程序生成字符画让男大学生们洗脑的挖呀挖呀挖

本文主要是介绍利用Python程序生成字符画让男大学生们洗脑的挖呀挖呀挖，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

源码地址

原教程在这里

演示效果：（有点虚）

利用Python程序生成字符画让男大学生们洗脑的挖呀挖呀挖

使用教程（源码在文章最后）

打开pyhton编译器安装opencv和Pillow库
把要进行字符串化的视频命名为input.mp4（或者在代码里修改进行字符串化的视频从input.mp4改为你的视频名）
运行代码，此时会有进度提示
找自己这个pyhton文件的位置会有一个video文件夹生成
完了，记得帮我点个赞或者收藏一下😳😳😳

你可能需要安装opencv和Pillow。如果没有这两个库，通常情况下本脚本会自动帮你安装。如果自动安装失败，请在cmd分别运行。

pip3 install opencv-python-headlesspip3 install Pillow

在这里插入图片描述

源代码

import sys
import os
import time
import shutil
from multiprocessing import Processtry:from PIL import Image, ImageFont, ImageDraw
except ImportError:os.system('pip3 install Pillow -i https://mirrors.aliyun.com/pypi/simple/')from PIL import Image, ImageFont, ImageDrawtry:import cv2from cv2 import VideoWriter, VideoWriter_fourcc, imread, resize
except ImportError:os.system('pip3 install opencv-python-headless -i https://mirrors.aliyun.com/pypi/simple/')import cv2from cv2 import VideoWriter, VideoWriter_fourcc, imread, resize# =========================
# coding:UTF-8
# 视频转字符画含音频version-2.1
# 参考1：https://blog.csdn.net/mp624183768/article/details/81161260
# 参考2：https://blog.csdn.net/qq_42820064/article/details/90958577
# 参考3：https://blog.csdn.net/zj360202/article/details/79026891
# =========================def get_char(r, g, b, alpha=256):ascii_char = list("#RMNHQODBWGPZ*@$C&98?32I1>!:-;. ")# ascii_char = list("$@B%8&WM#*oahkbdpqwmZO0QLCJUYXzcvunxrjft/\|()1{}[]?-_+~<>i!lI;:oa+>!:+. ")if alpha == 0:return ''length = len(ascii_char)gray = int(0.2126 * r + 0.7152 * g + 0.0722 * b)unit = (256.0 + 1) / len(ascii_char)return ascii_char[int(gray / unit)]# 将视频转换为图片 并进行计数，返回总共生成了多少张图片！
def video_to_pic(vp):print('正在对视频进行逐帧切片，请稍候...')# vp = cv2.VideoCapture(video_path)number = 0if vp.isOpened():r, frame = vp.read()if not os.path.exists(sys.path[0] + '/cache_pic'):os.mkdir(sys.path[0] + '/cache_pic')os.chdir(sys.path[0] + '/cache_pic')else:r = Falsewhile r:number += 1cv2.imwrite(sys.path[0] + '/cache_pic/' + str(number) + '.jpg', frame)r, frame = vp.read()print('由视频一共生成了{}张图片！'.format(number))os.chdir(sys.path[0])# os.chdir("../../../Downloads")return numberdef img_to_char(image_path, raw_width, raw_height, task):width = int(raw_width / 6)height = int(raw_height / 15)os.chdir(sys.path[0])im = Image.open(image_path).convert('RGB')  # 必须以RGB模式打开im = im.resize((width, height), Image.NEAREST)txt = ''color = []for i in range(height):for j in range(width):pixel = im.getpixel((j, i))color.append((pixel[0], pixel[1], pixel[2]))  # 将颜色加入进行索引if len(pixel) == 4:txt += get_char(pixel[0], pixel[1], pixel[2], pixel[3])else:txt += get_char(pixel[0], pixel[1], pixel[2])txt += '\n'color.append((255, 255, 255))im_txt = Image.new("RGB", (raw_width, raw_height), (255, 255, 255))dr = ImageDraw.Draw(im_txt)# font = ImageFont.truetype('consola.ttf', 10, encoding='unic') #改为这个字体会让图片比例改变font = ImageFont.load_default().fontx, y = 0, 0font_w, font_h = font.getsize(txt[1])font_h *= 1.37  # 调整字体大小for i in range(len(txt)):if (txt[i] == '\n'):x += font_hy = -font_wdr.text((y, x), txt[i], fill=color[i])y += font_wos.chdir(sys.path[0])# os.chdir('cache_char')im_txt.save(sys.path[0] + '/cache_char/' + str(task) + '.jpg')os.chdir(sys.path[0])# os.chdir("../../../Downloads")return 0# 使用多进程进行图片转字符画，number是cahce_pic中图片总数，start_number是该进程从第几副图开始做，end_number是该进程到第几副图结束。
class StarToCharMultiProcess(Process):def __init__(self, threadID, number, save_pic_path, start_number, end_number):super().__init__()self.threadID = threadIDself.number = numberself.save_pic_path = save_pic_pathself.start_number = start_numberself.end_number = end_numberdef run(self):print("开始进程：" + self.name)star_to_char2(self.number, self.save_pic_path, self.start_number, self.end_number)print(self.name + ":处理完成")print("退出进程：" + self.name)def star_to_char(number, save_pic_path):if not os.path.exists('cache_char'):os.mkdir('cache_char')img_path_list = [save_pic_path + r'/{}.jpg'.format(i) for i in range(1, number + 1)]  # 生成目标图片文件的路径列表task = 0for image_path in img_path_list:img_width, img_height = Image.open(image_path).size  # 获取图片的分辨率task += 1img_to_char(image_path, img_width, img_height, task)print('{}/{} is finished.'.format(task, number))print('=======================')print('All images were finished!')print('=======================')return 0def star_to_char2(number, save_pic_path, start_number, end_number):os.chdir(sys.path[0])if not os.path.exists('cache_char'):try:os.mkdir('cache_char')except:passimg_path_list = [save_pic_path + r'/{}.jpg'.format(i) for i in range(start_number, end_number + 1)]  # 生成目标图片文件的路径列表task = start_number - 1for image_path in img_path_list:img_width, img_height = Image.open(image_path).size  # 获取图片的分辨率task += 1img_to_char(image_path, img_width, img_height, task)# print('{}/{} is finished.'.format(task, number))# print('=======================')# print('Finished!')# print('=======================')return 0def star_to_char_multi_process(number, save_pic_path, process_number):print("\n正在把图片转字符画，请稍候...")print("启动多进程处理：")processes = []for count in range(1, process_number + 1):if count == 1:start_number = 1end_number = start_number + number // process_numberelif count == process_number:start_number = end_number + 1end_number = numberelse:start_number = end_number + 1end_number = start_number + number // process_numberprocess = StarToCharMultiProcess(count, number, save_pic_path, start_number, end_number)process.start()processes.append(process)time.sleep(1)return processesdef process_bar(percent, start_str='', end_str='', total_length=0):# 进度条bar = ''.join("■ " * int(percent * total_length)) + ''bar = '\r' + start_str + bar.ljust(total_length) + ' {:0>4.1f}%|'.format(percent * 100) + end_strprint(bar, end='', flush=True)def jpg_to_video(char_image_path, FPS):print("\n开始合成视频")video_fourcc = VideoWriter_fourcc(*"MP42")  # 设置视频编码器,这里使用使用MP42编码器,可以生成更小的视频文件char_img_path_list = [char_image_path + r'/{}.jpg'.format(i) for i in range(1, number + 1)]  # 生成目标字符图片文件的路径列表char_img_test = Image.open(char_img_path_list[1]).size  # 获取图片的分辨率os.chdir(sys.path[0])if not os.path.exists('video'):os.mkdir('video')video_writter = VideoWriter('video/new_char_video.avi', video_fourcc, FPS, char_img_test)sum = len(char_img_path_list)count = 0for image_path in char_img_path_list:img = cv2.imread(image_path)video_writter.write(img)end_str = '100%'count = count + 1process_bar(count / sum, start_str='', end_str=end_str, total_length=15)video_writter.release()print('\n')print('=======================')print('The video is finished!')print('=======================')def write_audio(video_path):# 加入音频cmd = 'ffmpeg -i ' + sys.path[0] + '/video/new_char_video.avi' + ' -i ' + video_path + ' -c copy -map 0 -map 1:1 -y -shortest ' + sys.path[0] + '/video/videoWithAudio.avi' + ' -y'os.system(cmd)# 压制成H.264 mp4格式cmd2 = 'ffmpeg -i ' + sys.path[0] + '/video/videoWithAudio.avi' + ' -c:v libx264 -strict -2 ' + sys.path[0] + '/video/finalOutput_VideoWithAudio.mp4' + ' -y'os.system(cmd2)def delete(path):try:shutil.rmtree(path)print('已删除：' + path)return 0except:print('删除' + path + '失败，可能是权限不足或目录不存在')return -1def input_process(default_video_path):video_path = default_video_pathwhile not os.path.exists(video_path):if len(sys.argv) == 2:video_path = sys.argv[1]elif len(sys.argv) == 1 and not os.path.exists(video_path):video_path = input('请输入要处理的视频名称：')video_path = sys.path[0] + '/' + video_pathreturn video_pathif __name__ == '__main__':# 各种参数video_path = sys.path[0] + '/input.mp4'  # 把input.mp4改成你的视频名字，注意前面的斜杠要保留save_pic_path = sys.path[0] + '/cache_pic'  # 别动save_charpic_path = sys.path[0] + '/cache_char'  # 别动processes_number = 8  # 使用多少个进程同时处理图片，通常不超过CPU线程数，可以自行设置video_path = input_process(video_path)# 处理vp = cv2.VideoCapture(video_path)number = video_to_pic(vp)FPS = vp.get(cv2.CAP_PROP_FPS)threads = star_to_char_multi_process(number, save_pic_path, processes_number)for thread in threads:thread.join()vp.release()jpg_to_video(save_charpic_path, FPS)delete(save_pic_path)delete(save_charpic_path)write_audio(video_path)  # 把原视频的音频复制到新视频中。需要安装ffmpeg，否则报错。没有ffmpeg请注释掉这行代码。

在这里插入图片描述

为什么报错？

在这里插入图片描述

你可能需要安装opencv和Pillow。如果没有这两个库，通常情况下本脚本会自动帮你安装。如果自动安装失败，请在cmd分别运行。

在这里插入图片描述

注意的事及其使用方法

你可能需要安装opencv和Pillow。如果没有这两个库，通常情况下本脚本会自动帮你安装。如果自动安装失败，请在cmd分别运行、。

pip3 install opencv-python-headlesspip3 install Pillow

支持常见的mp4、flv等格式。

需要在main函数中修改你的视频文件路径，默认视频文件名称为input.mp4，放在与本py文件相同的目录里。如果没有找到input.mp4，会自动询问你视频名称。

最简单的方法：将视频放置在py文件的文件夹下，并修改 video_path后的参数为你的视频名字即可运行。

此外还可以设置多进程处理图片，可自行修改进程数量。

if __name__ == '__main__':video_path = sys.path[0] + '/input.mp4'  # 把input.mp4改成你的视频名字，注意前面的斜杠要保留save_pic_path = sys.path[0] + '/cache_pic'  # 别动save_charpic_path = sys.path[0] + '/cache_char'  # 别动processes_number = 8  # 使用多少个进程同时处理图片，通常不超过CPU线程数，可以自行设置