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take n pictures3.py
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take n pictures3.py
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from picamera import PiCamera
from time import sleep
from fractions import Fraction
import cv2
import numpy as np
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
font = cv2.FONT_HERSHEY_SIMPLEX
#camera = PiCamera(resolution=(1280,720 ))
#camera = PiCamera(resolution=(1280, 720),framerate=(Fraction (1,8)),sensor_mode=3)
camera = PiCamera(resolution=(1280, 720),framerate=(.1),sensor_mode=3)
#camera = PiCamera(framerate=(30))
#set wait time should be min 5 sec
waitime = 4
xrange = 5
sleep(waitime)
#capture seed picture
camera.shutter_speed = 0
camera.iso = 0
sleep(waitime)
camera.capture('/home/pi/Desktop/testexposure.jpg')
print ("test")
img = cv2.imread('/home/pi/Desktop/testexposure.jpg')
#cv2.putText(img,"{0},{1}".format(x,y),(5,50), font, 2, (0,255,0), 9, cv2.LINE_AA)
img = cv2.resize(img, (0, 0), None, .25, .25)
#print ((x),(y),"{0:10s}".format(str(camera.shutter_speed/10000000)),(camera.iso))
#print ((x),(y),"{0:10s}".format(str(round(camera.shutter_speed/10000000))),(camera.iso))
times = [.1,1,10,100]
for i in range (1,xrange):
sleep(waitime)
camera.shutter_speed = int(10000*(times[i-1]))
print (i,(camera.shutter_speed/100000))
camera.iso = 100
print ("test")
camera.capture('img{0:02d}.jpg'.format(i))
img1 = cv2.imread('img{0:02d}.jpg'.format(i))
img1 = cv2.resize(img1, (0, 0), None, .25, .25)
img = np.concatenate((img,img1), axis=1)
cv2.imshow("img", img)
camera.close()
cv2.waitKey(0)
"""
cv2.destroyAllWindows()
for x in range (1,xrange):
if x == 1:
#capture seed picture
camera.shutter_speed = 0
camera.iso = 0
sleep(waitime)
camera.capture('/home/pi/Desktop/testexposure3.jpg')
print ("test2")
img4 = cv2.imread('/home/pi/Desktop/testexposure3.jpg')
cv2.putText(img4,"auto",(5,50), font, 2, (0,255,0), 9, cv2.LINE_AA)
img4 = cv2.resize(img4, (0, 0), None, .25, .25)
else:
print ("test")
camera.shutter_speed = 0
camera.iso = 0
sleep(waitime)
camera.capture('img5.jpg')
img5 = cv2.imread('img5.jpg')
cv2.putText(img5,"auto",(5,50), font, 2, (0,255,0), 9, cv2.LINE_AA)
img5 = cv2.resize(img5, (0, 0), None, .25, .25)
img4 = np.concatenate((img4, img5), axis=1)
print ((x),(y),"{0:10s}".format(str(round(camera.shutter_speed/100000))),(camera.iso))
img3 = np.concatenate((img3, img4), axis=0)
#img3 = cv2.resize(img3, (0, 0), None, .25, .25)
cv2.imshow("image2", img3)
cv2.imwrite("/home/pi/Desktop/img3.jpg", img3)
#Displaying a Matplotlib Scale Image
#Imports a file and displays labels (x,y, title} and resolution tick marks
#requires matplotlib
#Enter input file name
filein = "/home/pi/Desktop/img3.jpg"
image = mpimg.imread("/home/pi/Desktop/img3.jpg")
plt.imshow(image)
#if you want title only
#plt.axis ("off")
plt.xlabel('shutter_speed')
plt.ylabel('iso')
plt.title('Public Lab Raspberry Pi Test')
plt.show()
def readImagesAndTimes():
times = np.array([ 1/30.0, 0.25, 2.5, 15.0 ], dtype=np.float32)
filenames = ["img_0.033.jpg", "img_0.25.jpg", "img_2.5.jpg", "img_15.jpg"]
images = []
for filename in filenames:
im = cv2.imread(filename)
images.append(im)
return images, times
if __name__ == '__main__':
# Read images and exposure times
print("Reading images ... ")
images, times = readImagesAndTimes()
"""