def __init__(self):
self.showCamView = True
self.showTopView = False
self.screenIsFound = False
self.captureLaser = False
self.cam = OpenCV_Cam()
self.screenFinder = ScreenFinder()
class LaserScanner(object):
def __init__(self):
self.showCamView = True
self.showTopView = False
self.screenIsFound = False
self.captureLaser = False
self.cam = OpenCV_Cam()
self.screenFinder = ScreenFinder()
def findScreen(self):
self.screenFinder.clear_found()
while not self.screenIsFound:
img = self.cam.read()
self.screenFinder.find_screen_img(img)
cv2.imshow('camera image', img)
k = cv2.waitKey(5)
if k == 27:
break
cv2.destroyWindow('camera image')
def setScreenImage(self, bgImage):
self.screenFinder.set_screen_img(bgImage)
self.background = bgImage
def capture(self):
if self.captureLaser:
img = self.cam.read()
Xcam = self.getLaserLocation(img)
print Xcam
#x, y = tuple(self.screenFinder.reverse_transform(Xcam).reshape(-1))
return Xcam
def update(self):
self.img = self.cam.read()
print self.capture()
def show(self):
cv2.imshow('Burn this image', self.background)
if self.showTopView:
top_view = sf.screen_top_view(img)
cv2.imshow('Top view', top_view)
if self.showCamView:
cv2.imshow('Cam view', self.img)
@staticmethod
def getLaserLocation(image):
red_part = image[:,:,2]
ly, lx = np.unravel_index(red_part.argmax(), red_part.shape)
return np.array([lx, ly])
ly, lx = np.unravel_index(max_pos, red_part.shape)
if red_part[ly, lx] < threshold:
return None
return np.array([lx, ly])
def find_threshold(cam):
img = cam.read()
hx, hy = find_laser_loc(img, 0)
threshold = img[hy, hx, 2] + 10
print "The red threshold is automatically determined to be", threshold
return threshold
background = cv2.imread('wood.png')
cv2.imshow('Burn this page!', background)
sf = ScreenFinder()
sf.set_screen_img(background)
cam = OpenCV_Cam()
img = cam.read()
sf.find_screen_img(img)
sf.find_screen_loop(cam, False)
bs = background.shape
canvas = np.full((bs[0], bs[1], 4), 0, dtype=np.uint8)
# prepare threshold
thresh = find_threshold(cam)
show_top_view, show_cam_view = False, False
while True:
return None
return np.array([lx, ly])
def find_threshold(cam):
img = cam.read()
hx, hy = find_laser_loc(img, 0)
threshold = img[hy, hx, 2] + 10
print "The red threshold is automatically determined to be", threshold
return threshold
background = cv2.imread('wood.png')
cv2.imshow('Burn this page!', background)
sf = ScreenFinder()
sf.set_screen_img(background)
cam = OpenCV_Cam()
img = cam.read()
sf.find_screen_img(img)
sf.find_screen_loop(cam, False)
bs = background.shape
canvas = np.full((bs[0], bs[1], 4), 0, dtype=np.uint8)
# prepare threshold
thresh = find_threshold(cam)
show_top_view, show_cam_view = False, False
while True: