# apply gamma
if gamma != -1:
pi = imageGamma(pi, (gamma,gamma,gamma))
# rotate image
pi = pi.rotate(90)
if ratio != 1:
pi = pi.resize((int(pi.size[0] * ratio), int(pi.size[1] * ratio)), Image.ANTIALIAS)
# if jpg swap RGB
#if jp4:
#pi = swapRGB(pi)
# add frame - if full save logs
isFull = slitscanner.addFrame(pi)
# preview display
if display:
scale = out_w / float(screen[0])
if out_h / float(screen[1]) > scale:
scale = out_h / float(screen[1])
if scale < 1:
scale = 1
tile = swapRGB(slitscanner.getImage())
cv_im = PIL2Ipl(
tile.resize( ((int) (tile.size[0]/scale), (int) (tile.size[1]/scale)), Image.NEAREST))
#now show
cv.ShowImage("preview",cv_im)
if flag_calibration:
ts = 24
if bearing < 90:
angle = -(90 - bearing)
else:
angle = bearing - 90
img_rot = img.rotate(angle, Image.BICUBIC, True)
rot = img_rot.crop(
(
img_rot.size[0] / 2 - size[0] / 2,
img_rot.size[1] / 2 - size[1] / 2,
img_rot.size[0] / 2 + size[0] / 2,
img_rot.size[1] / 2 + size[1] / 2,
)
)
slitscanner.addFrame(rot)
# draw crosshair (debug output)
draw = ImageDraw.Draw(rot)
draw.line((0, img.size[1] / 2, img.size[0], img.size[1] / 2), fill=128)
draw.line((img.size[0] / 2, 0, img.size[0] / 2, img.size[1]), fill=128)
del draw
# visual debug/preview output via opencv
if display:
cv_img = cv.CreateImageHeader(rot.size, cv.IPL_DEPTH_8U, 3)
cv.SetData(cv_img, rot.tostring())
cv.CvtColor(cv_img, cv_img, cv.CV_RGB2BGR)
cv.ShowImage("current", cv_img)
scan_img = slitscanner.getImage()
