def edge_image(self):
arr = self.image2.get_pixbuf().get_pixels_array()
#imgrec.verbose = 1
imgrec.anchor(arr)
imgrec.edge()
self.invalidate()
def walk_image(self, xx, yy):
#print "walk_image() dim =", iw, ih, "pos =", xx, yy
arr = self.image2.get_pixbuf().get_pixels_array()
imgrec.verbose = 1
imgrec.anchor(arr)
imgrec.walk(xx, yy)
self.invalidate()
def blank_image(self):
pixb = self.image2.get_pixbuf()
iw = pixb.get_width()
ih = pixb.get_height()
#print "img dim", iw, ih
import warnings
with warnings.catch_warnings():
warnings.simplefilter("ignore")
arr = pixb.get_pixels_array()
imgrec.verbose = 1
imgrec.anchor(arr)
imgrec.blank(color=0xffffffff)
rc = self.get_allocation()
self.window.invalidate_rect(rc, False)
def norm_image(self):
pixb = self.image2.get_pixbuf()
iw = pixb.get_width()
ih = pixb.get_height()
#print "img dim", iw, ih
import warnings
with warnings.catch_warnings():
warnings.simplefilter("ignore")
arr = pixb.get_pixels_array()
#imgrec.verbose = 1
imgrec.anchor(arr)
#print "Norm Image"
#imgrec.normalize(1,2,3)
imgrec.bw(1, 2, 3)
rc = self.get_allocation()
self.window.invalidate_rect(rc, False)
def anal_image(self, xxx=-1, yyy=-1):
# Get img props.
pixb = self.image2.get_pixbuf()
iw = pixb.get_width()
ih = pixb.get_height()
print "img dim", iw, ih
import warnings
with warnings.catch_warnings():
warnings.simplefilter("ignore")
arr = pixb.get_pixels_array()
#imgrec.verbose = 1
imgrec.anchor(arr)
#print "dims", imgrec.dim1, imgrec.dim2, imgrec.dim3
#print "width", imgrec.width, "height", imgrec.height
hstep = imgrec.width / self.divider
vstep = imgrec.height / self.divider
# Interpret defaults:
if xxx == -1: xxx = self.divider / 2
if yyy == -1: yyy = self.divider / 2
print "Anal image", xxx, yyy, hstep, vstep
# Draw grid
'''for xx in range(self.divider):
hor = xx * hstep
imgrec.line(hor, 0, hor, imgrec.height, 0xff888888)
for yy in range(self.divider):
ver = yy * vstep
imgrec.line(0, ver, imgrec.width, ver, 0xff888888)'''
# Get an array of median values
xcnt = 0
ycnt = 0
darr = {}
for yy in range(self.divider):
xcnt = 0
for xx in range(self.divider):
hor = xx * hstep
ver = yy * vstep
med = imgrec.median(hor, ver, hor + hstep, ver + vstep)
#imgrec.blank(hor, ver, hor + hstep, ver + vstep, med)
med &= 0xffffff
# Mask out alpha
# Remember it in a dict
self.add_to_dict(darr, xcnt, ycnt, med)
xcnt += 1
ycnt += 1
# Set up flood fill
fparm = floodParm(self.divider, darr)
fparm.hstep = hstep
fparm.vstep = vstep
fparm.tresh = TRESH
# Progress feedback
fparm.inval = self.show_prog
fparm.colx = int(random() * 0xffffff)
flood(xxx, yyy, fparm)
# Reference position
self.aframe.append((xxx, yyy, 0xff8888ff))
# Display final image
self.show_prog(fparm)
