def carveVSeam(cim, seam):
'Removes a given seam from an image, and returns resulting image.'
cimout = CImage(cim.width-1,cim.height)
for y in cim.yrange():
for x in range(0,seam[y]):
cimout.pix[x,y] = cim.pix[x,y]
for x in range(seam[y],cim.width-1):
cimout.pix[x,y] = cim.pix[x+1,y]
return cimout
def insertVSeam(cim, seam):
print seam
'Insert a seam into the image and returns resulting image.'
cimout = CImage(cim.width + 1, cim.height)
seamIndex = 0
for y in cim.yrange():
for x in range(0, seam[y]):
cimout.pix[x,y] = cim.pix[x,y]
#average of the surrounding pixels
cimout.pix[seam[y], y] = getAverage(cim, seam[y], y)
for x in range(seam[y]-1, cim.width-1):
#copy over the pixels
cimout.pix[x+2, y] = cim.pix[x+1,y]
return cimout
cimout.pix[x,y] = cim.pix[x,y]
for x in range(seam[y],cim.width-1):
cimout.pix[x,y] = cim.pix[x+1,y]
return cimout
def findEdges(cim):
'Returns a CImage containing the energy function of this image'
return CImage(cim.im.filter(ImageFilter.FIND_EDGES).filter(ImageFilter.BLUR).convert('I'))
def markVSeam(cim, seam):
'Fills in an image with yellow along the given seam.'
for y in cim.yrange():
cim.pix[seam[y],y] = (255,255,0)
cim0 = CImage(img)
cim0.show(canvas)
cim1 = CImage(cim0.im)
cimold = CImage(cim0.im)
cime = findEdges(cim1)
def show0(event):
cim0.show(canvas)
def show1(event):
cim1.show(canvas)
def show2(event):
cime.show(canvas)
def delseam(event):
global cime, cim1, cimold
tstart = time.time()
