pip install opencv-python

import cv2
im = cv2.imread('jljt')	# 读取图片
cv2.imshow('im', im)	# 显示图片
cv2.waitKey(0)	# 等待键盘输入
cv2.destroyAllWindows()	# 销毁内存

import cv2
# 读取图片
im = cv2.imread('jljt.jpg')
# 灰度转换
grey = cv2.cvtColor(frame, cv2.COLOR_RGB2GRAY)

import cv2
# 读取图像
im = cv2.imread('jljt.png')
# 改变图像大小
re = cv2.resize(im, (100, 40))
cv2.imshow('11', re)
cv2.waitKey(0)
cv2.destroyAllWindows()

import cv2
# 读取视频
video = cv2.VideoCapture('jljt.mp4')
# 读取帧，该方法返回两个参数，第一个为是否还有下一帧，第二个为帧的ndarray对象
ret, frame = video.read()
while ret:
  # 循环读取帧
  ret, frame = video.read()

import cv2
str = 'mqpka89045321@#$%^&*()_=||||}' # 字符表
im = cv2.imread('jljt.jpg')	# 读取图像
grey = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY)	# 灰度转换
grey = cv2.resize(grey, (50, 18))	# 缩小图像
str_img = ''	# 用于装字符画
for i in grey:	# 遍历每个像素
  for j in i:
    index = int(j / 256 * len(str))	# 获取字符坐标
    str_img += str[index]	# 将字符添加到字符画中
  str_img += '\n'
print(str_img)

import os
import cv2
str = 'mqpka89045321@#$%^&*()_=||||}'	# 字符表
video = cv2.VideoCapture('jljt.mp4') 	# 读取视频
ret, frame = video.read()	# 读取帧
while ret:	# 逐帧读取
  str_img = ''	# 字符画
  grey = cv2.cvtColor(frame, cv2.COLOR_RGB2GRAY)	# 灰度转换
  grey = cv2.resize(grey, (100, 40))	# 该表大小
  for i in grey:	# 遍历每个像素点
    for j in i:
      index = int(j / 256 * len(str))	# 获取字符坐标
      str_img += str[index]	# 将字符添加到字符画中
    str_img += '\n'
  os.system('cls')	# 清除上一帧输出的内容
  print(str_img)	# 输出字符画
  ret, frame = video.read()	# 读取下一帧
  cv2.waitKey(5)