import numpy as np
import cv2
import serial
import time
将128\*64的二值化图像转换为OLED数组格式
def img2array(frame):
```
array = np.zeros((8, 128), dtype='uint8')
for j in range(64):
for i in range(128):
if frame[j] > 0:
array[j // 8] = (array[j // 8]*) | (0x01 << (j % 8))
return array
```
打开串口
serial\_port = serial.Serial('COM4', 921600)
设置预览窗口
cv2.namedWindow('img', cv2.WINDOW\_NORMAL)
cv2.resizeWindow('img', 128 \* 4, 64 \* 4)
打开视频
cap = cv2.VideoCapture('打篮球.mp4')
记住开始时间
start\_time = time.time()
while cap.isOpened():
```
获取当前时间对应的帧数
run\_time = time.time() - start\_time
fps = cap.get(cv2.CAP\_PROP\_FPS)
frame\_number = int(run\_time \* fps)
获取当前帧
cap.set(cv2.CAP\_PROP\_POS\_FRAMES, frame\_number)
flag, img = cap.read()
if not flag:
break
帧图像处理
img = cv2.resize(img, (128, 64)) #修改尺寸
img = cv2.cvtColor(img, cv2.COLOR\_BGR2GRAY) #灰度化
img = cv2.threshold(img, 170, 255, cv2.THRESH\_BINARY)[1] #二值化
预览图像
cv2.imshow('img', img)
转换为数组并使用串口发送
img\_array = img2array(img)
serial\_port.write(img\_array)
等待按键，按q键退出
key = cv2.waitKey(1)
if key & 0xFF == ord('q'):
break
```
释放资源
cap.release()
cv2.destroyAllWindows()
serial\_port.close()
