原视频
转换后
import cv2
import numpy as np
def pixel2char(pixel):
char_list = "@#$%&erytuioplkszxcv=+---. "
index = int(pixel / 256 * len(char_list))
return char_list[index]
def get_char_img(img, scale=4, font_size=5):
# 调整图片大小
h, w = img.shape
re_im = cv2.resize(img, (w//scale, h//scale))
# 创建一张图片用来填充字符
char_img = np.ones((h//scale*font_size, w//scale*font_size), dtype=np.uint8)*255
font = cv2.FONT_HERSHEY_SIMPLEX
# 遍历图片像素
for y in range(0, re_im.shape[0]):
for x in range(0, re_im.shape[1]):
char_pixel = pixel2char(re_im[y][x])
cv2.putText(char_img, char_pixel, (x*font_size, y*font_size), font, 0.5, (0, 0, 0))
return char_img
def generate(input_video, output_video):
# 1、读取视频
cap = cv2.VideoCapture(input_video)
# 2、获取视频帧率
fps = cap.get(cv2.CAP_PROP_FPS)
# 读取第一帧，获取转换成字符后的图片的尺寸
ret, frame = cap.read()
char_img = get_char_img(cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY), 4)
# 创建一个VideoWriter，用于保存视频
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
writer = cv2.VideoWriter(output_video, fourcc, fps, (char_img.shape[1], char_img.shape[0]))
while ret:
# 读取视频的当前帧，如果没有则跳出循环
ret, frame = cap.read()
if not ret:
break
# 将当前帧转换成字符图
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
char_img = get_char_img(gray, 4)
# 转换成BGR模式，便于写入视频
char_img = cv2.cvtColor(char_img, cv2.COLOR_GRAY2BGR)
writer.write(char_img)
writer.release()
if __name__ == '__main__':
generate('xxxx.mp4', 'out.mp4')