def tstInvert(img):
" inverted images have a horizontal line at .3 instead of .7 "
if db:
img.save("invert.png")
fset = img.findLines(minlinelength=100)
fh = fset.filter(abs(fset.angle()) < 2) # near horizon
if db:
fh.draw(color=Color.RED, width=9)
img.save(Gd)
if db:
cpause(["tst invert fset >>", len(fset)], Gd)
v7 = 0
v3 = 0
for fx in fh:
yh = round(fx.y / float(img.height), 1) # % dist on y axis
if yh == 0.3:
v3 = v3 + 1
elif yh == 0.7:
v7 = v7 + 1
if db:
print "yh v3 v7", yh, v3, v7, fx.angle()
# print 'v3', v3, 'v7', v7
if v3 > v7:
return 180
else:
fmx = fh.filter(abs(fh.angle()) == max(abs(fh.angle())))
x = fmx.angle()[0] # one is enough
print " remove skew", x
return x # largest < 2 deg
def Cropx(img):
global db, Gd
# img = self.__img
img.save(Gd)
print " w x h", img.width, img.height
if img.height == 2988:
img = img.rotate(90) # all Dec set rotate
# fi = cropSetx(img)
## mask = imgE.hueDistance(128.0)
## img2 = mask.binarize(128)
img2 = img.hueDistance(Color.BLUE).invert()
fi = cropSub(img2, 0.03, 0.21) # tolerance .03
if fi is None:
print "fi is None try no mask"
imgE = img.erode(2)
fi = cropSub(imgE, 0.1, 0.21)
if fi is None:
print "fi is none - try 100%"
fi = cropSub(img2, 0.1, 1)
if fi is None:
raise ValueError("Cropx failed")
print "Sub blb area", fi.area(),
print round(100.0 * fi.area() / img.area(), 2), "pct"
img3 = img.crop(fi) # crop the original image
angle = tstInvert(img3)
img3 = img3.rotate(angle, fixed=False) # remove skew or inversion
img4 = img3.resize(w=1040, h=410)
img4.save(Gd)
if db:
cpause("cropx", Gd)
return img4
if not fname == "input.png":
self.img.save("input.png")
self.cropped = Cropx(self.img) # crop image
self.cropped.save("cropTest.png") # save intermediat results
[self.wt, self.fat, self.h2o] = Part(self, self.cropped) # partition cropped image
self.fat.save("fatTest.png")
self.h2o.save("h2oTest.png")
self.wt.save("wtTest.png")
# hunt for the appropriate number in each partitioned image
self.nwt = hunt(self.wt, "wt")
self.nfat = hunt(self.fat, "fat")
self.nh2o = hunt(self.h2o, "h2o")
return None
if __name__ == "__main__":
filename = "input.png"
print "weight.py", filename
# Gd = Display((1040,410))
db = True
s = Scale(filename)
print s.name, "wt is", s.nwt, "iHunt global"
for i in iHunt:
print i
s.cropped.save(Gd) # test image display
cpause(" end Scale")
Gd.quit()
imgx.drawLine((fv2, fy), (fv2, imgx.height), color=Color.YELLOW, thickness=3)
# imgx.show()
wt = imgx.crop((fcut, 0), (fv1, fy)) # 100 x 300 st at 150 asp = .33
dy = 0.15 * imgx.height
fat = imgx.crop((fcut2, 0), (imgx.width, fy - dy)) # fy - dy ??
h2o = imgx.crop((fcut, fyc), (fv2, imgx.height))
return [wt, fat, h2o]
if __name__ == "__main__":
Gd = Display((1040, 410))
db = True
fil = "input.png"
# fil = 'C:\\Users\\charles\\Desktop\\ScTest\\TX\\20141103_0629.JPG'
print "sworks.py", fil
img = Image(fil)
if not fil == "input.png":
img.save("input.png")
imt = Cropx(img)
imt.save(Gd)
[wt, fat, h2o] = Part(1, imt)
fat.save(Gd)
cpause("fat", Gd)
h2o.save(Gd)
cpause("h2o", Gd)
raw_input("press enter to quit")
Gd.quit()
# cpause('end Scale')
t = f[fds + 1 : fds + 11] + " " + f[fds + 12 : fds + 14] + ":" + f[fds + 15 : fds + 17] # hr : # mm
td = t[:10] # just the date from above
# td = t[3:10]
print "tnow {} t {}".format(tnow, t)
if td == tnow:
from weight import Scale, Gd
from rnum import cpause
sx = Scale(f) # the main function of Weight that returns the number
# sx is a tuple of w, fat, water
print "Date and Time", t, "weight", sx.nwt
# note the raw string below
f = open(r"C:\Users\charles\Data\Prod\wtdata\aaScale.r", "a")
print "updd(", t, sx.nwt, ")"
st = str(t)
sw = str(sx.nwt) + ", " + str(sx.nfat) + ", " + str(sx.nh2o)
s = "\nupdd('" + st + "'," + sw + ")"
f.write(s)
s = "\ninfo()"
f.write(s)
f.close()
## sx.cropped.save(Gd)
cpause()
Gd.quit()
rawchar = "Q"
else:
print "Not today's picture"
rawchar = raw_input("Enter c to continue else Quit")