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
源代码
import sys import os import time import shutil from multiprocessing import Process try: 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, ImageDraw try: import cv2 from cv2 import VideoWriter, VideoWriter_fourcc, imread, resize except ImportError: os.system('pip3 install opencv-python-headless -i https://mirrors.aliyun.com/pypi/simple/') import cv2 from 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 = 0 if 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 = False while r: number += 1 cv2.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 number def 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().font x, y = 0, 0 font_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_h y = -font_w dr.text((y, x), txt[i], fill=color[i]) y += font_w os.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 = threadID self.number = number self.save_pic_path = save_pic_path self.start_number = start_number self.end_number = end_number def 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 = 0 for image_path in img_path_list: img_width, img_height = Image.open(image_path).size # 获取图片的分辨率 task += 1 img_to_char(image_path, img_width, img_height, task) print('{}/{} is finished.'.format(task, number)) print('=======================') print('All images were finished!') print('=======================') return 0 def 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: pass img_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 - 1 for image_path in img_path_list: img_width, img_height = Image.open(image_path).size # 获取图片的分辨率 task += 1 img_to_char(image_path, img_width, img_height, task) # print('{}/{} is finished.'.format(task, number)) # print('=======================') # print('Finished!') # print('=======================') return 0 def 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 = 1 end_number = start_number + number // process_number elif count == process_number: start_number = end_number + 1 end_number = number else: start_number = end_number + 1 end_number = start_number + number // process_number process = StarToCharMultiProcess(count, number, save_pic_path, start_number, end_number) process.start() processes.append(process) time.sleep(1) return processes def 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_str print(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 = 0 for image_path in char_img_path_list: img = cv2.imread(image_path) video_writter.write(img) end_str = '100%' count = count + 1 process_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 0 except: print('删除' + path + '失败，可能是权限不足或目录不存在') return -1 def input_process(default_video_path): video_path = default_video_path while 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_path return video_path if __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。
为什么报错？
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。
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
为生成的视频添加原视频音轨并且压制为mp4需要预先安装好ffmpeg，如果没有安装ffmpeg，请注释掉或者删掉最后一行
write_audio(video_path)
最后附送一段舞蹈😍
