def eval_score(self):
""" Evaluate the focus score """
for i in self.img:
# a = dwt.nleveldwt(3,i)
# self.score.append(-1*dwt.focus_score(a))
self.score.append(-1 * dwt.focus_score(i))
return self
def eval_score(self):
""" Evaluate the focus score """
for i in self.img:
# a = dwt.nleveldwt(3,i)
# self.score.append(-1*dwt.focus_score(a))
self.score.append(-1*dwt.focus_score(i))
return self
def focus(self):
""" Return focus score """
#return -1*dwt.focus_score(self.get_image())
#a = dwt.nleveldwt(3,self.get_image())
#return -1*dwt.focus_score(a)
return -1 * dwt.focus_score(self.get_image())
import os
import picamera
import picamera.array
import cv2
import time
import numpy as np
import dwt
while(1):
with picamera.PiCamera() as camera:
camera.start_preview()
time.sleep(0.1)
with picamera.array.PiRGBArray(camera) as stream:
camera.capture(stream, format = 'bgr')
image = cv2.cvtColor(stream.array, cv2.COLOR_BGR2GRAY)
Y = dwt.nleveldwt(3,image)
print(dwt.focus_score(Ys[1:]))
def focus(self):
""" Return focus score """
#return -1*dwt.focus_score(self.get_image())
#a = dwt.nleveldwt(3,self.get_image())
#return -1*dwt.focus_score(a)
return -1*dwt.focus_score(self.get_image())