Hardware accelerated image processing
Using hardware to replace certain software parts can make the calculation faster. The methods of acceleration optimization have been done as follows:
The following code respectively performs edge search
, sharpening
, and embossing
on the image, and uses the convolution calculation to quickly obtain the result.
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()