硬件加速的图像处理

使用硬件替换某些软件部分, 可以让计算更加快速,已经做了加速优化的方法如下:

如下代码, 分别对图像进行了边缘查找锐化浮雕化, 利用了卷积计算快速得到结果。

import sensor
import image
import lcd
import time

lcd.init(freq=15000000)
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.run(1)
origin = (0,0,0, 0,1,0, 0,0,0)
edge = (-1,-1,-1,-1,8,-1,-1,-1,-1)
sharp = (-1,-1,-1,-1,9,-1,-1,-1,-1)
relievo = (2,0,0,0,-1,0,0,0,-1)

tim = time.time()
while True:
    img=sensor.snapshot()
    img.conv3(edge)
    lcd.display(img)
    if time.time() -tim >10:
        break
tim = time.time()
while True:
    img=sensor.snapshot()
    img.conv3(sharp)
    lcd.display(img)
    if time.time() -tim >10:
        break
tim = time.time()
while True:
    img=sensor.snapshot()
    img.conv3(relievo)
    lcd.display(img)
    if time.time() -tim >10:
        break

lcd.clear()
powered by GitbookFile Modify: 2021-01-16 11:36:59

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