def calcdX(self):
print "calcDX"
# print "CurrentShape as points"
# print self.X
# print "CurrentShape as ActiveShape"
Xshape = ActiveShape.createShape(self.X)
# for p in Xshape.shapePoints:
# print p.x, p.y
# for pt in Xshape.shapePoints:
# print pt.x, pt.y
if self.method == "grad":
PMC = pmc(self.img, self.maxPx)
return np.ravel(map(lambda p: PMC.calcShift(p, "tx"), Xshape.shapePoints))
else:
TM = TemplateMatcher(self.method, self.fSize, self.fPts)
return np.ravel(TM.performMatching(self.img, Xshape))
def calcdX(self):
print "calcDX"
# print "CurrentShape as points"
# print self.X
# print "CurrentShape as ActiveShape"
Xshape = ActiveShape.createShape(self.X)
# for p in Xshape.shapePoints:
# print p.x, p.y
#for pt in Xshape.shapePoints:
# print pt.x, pt.y
if self.method == "grad":
PMC = pmc(self.img, self.maxPx)
return np.ravel(
map(lambda p: PMC.calcShift(p, 'tx'), Xshape.shapePoints))
else:
TM = TemplateMatcher(self.method, self.fSize, self.fPts)
return np.ravel(TM.performMatching(self.img, Xshape))
## draw indices DrawFace( ebenShape, plt).labelIndices() plt.imshow( ebenFace ) plt.set_cmap( "gray" ) plt.set_cmap( "gray" ) plt.gca().axes.xaxis.set_ticks([]) plt.gca().axes.yaxis.set_ticks([]) plt.show() #### MATCHING PROCESS # Read in image I = cv2.imread( "C:\Users\Valerie\Desktop\MicroExpress\CASME2\CASME2_RAW\CASME2-RAW\sub01\EP02_01f\img1.jpg") I = cv2.cvtColor( I, cv2.COLOR_BGR2GRAY) # Align shape asm = ActiveShapeModel( [36,31] ) asm = fh.readInASM( asm ) asm.PCA() appASM = ApplyASM( asm, i, tr, out, I, "SSD", 5,5 ) m, tdict = appASM.initialPosition( ) TM = TemplateMatcher( 'SSD', 5, True ) TM.performMatching(I, m)