def sliceTest(big):
nr, nc = np.shape(big)
for i in range(nr):
for j in range(nc):
print i, j
print slice(big, 3, Vector(j, i))
print slice(big, 5, Vector(j, i))
def calcNormRotate( self, shape ):
xDiff = shape.shapePoints[self.rightEyeIx].x - shape.shapePoints[self.leftEyeIx].x
yDiff = shape.shapePoints[self.rightEyeIx].y - shape.shapePoints[self.leftEyeIx].y
p0 = [ xDiff, yDiff ]
axisVector = [ 1, 0 ]
thetaP = Vector.angleBetween( p0, axisVector )
thetaRot = thetaP
rot = Vector.calcSRotMat( 1, thetaRot )
return rot, thetaRot
def calcNormRotate(self, shape):
xDiff = shape.shapePoints[self.rightEyeIx].x - shape.shapePoints[
self.leftEyeIx].x
yDiff = shape.shapePoints[self.rightEyeIx].y - shape.shapePoints[
self.leftEyeIx].y
p0 = [xDiff, yDiff]
axisVector = [1, 0]
thetaP = Vector.angleBetween(p0, axisVector)
thetaRot = thetaP
rot = Vector.calcSRotMat(1, thetaRot)
return rot, thetaRot
def __init__(self, pointList):
self.shapePoints = []
# Add points to shape
if isinstance(pointList[0], list):
for [x, y] in pointList:
self.shapePoints.append(Vector(x, y))
elif isinstance(pointList[0], tuple):
for (x, y) in pointList:
self.shapePoints.append(Vector(x, y))
else:
self.shapePoints = pointList
def coordOffset( pt, n ):
y = pt.y #row
x = pt.x #col
v = Vector.unit( [[ x - ( n - 1) / 2],[ y - ( n - 1 )/ 2 ] ])
# print type(v)
#print "CoordOff: %f %f" % (v[0], v[1])
return v
def getGradient(pt, img):
if pt.x is np.nan or pt.y is np.nan:
return
## Check bounds
h, w = np.shape(img)
if pt.y > h - 2:
pt.setY(h - 2)
if pt.x > w - 2:
pt.setX(w - 2)
if pt.x < 1:
pt.setX(1)
if pt.y < 1:
pt.setY(1)
delF = [(img[pt.y, pt.x + 1] - img[pt.y, pt.x - 1]) / 2,
(img[pt.y + 1, pt.x] - img[pt.y - 1, pt.x]) / 2]
#print delF
mag = math.sqrt(delF[0]**2 + delF[1]**2)
unitF = Vector.unit(delF)
return unitF, mag, pt
def readInASM(self, asm):
allLines = None
#f = "C:\\Users\\Valerie\\Documents\\Visual Studio 2013\\Projects\\ActiveShapeModels\\ActiveShapeModels\\outputs\\outfile-ASM-100iters-500tr.txt"
with open(
os.path.join(
self.output, 'outfile-ASM-%diters-%dtr.txt' %
(self.nIters, self.nTrain)), "r") as infile:
#with open( f, "r") as infile:
allLines = infile.readlines()
cleanLines = map(lambda x: x.strip().split(), allLines)
s = []
for tuple in cleanLines:
if tuple[0] == '!!!':
if s != []:
asm.meanShape = ActiveShape(s)
s = []
else:
pass
elif tuple[0] == '@@@':
if s != []:
asm.addShape(ActiveShape(s))
s = []
else:
pass
else:
s.append(Vector(float(tuple[0]), float(tuple[1])))
return asm
def calcMeanShape(self):
xList = [el.xs for el in self.allShapes]
yList = [el.ys for el in self.allShapes]
meanPointsList = map(lambda x, y: Vector(x, y), np.mean(xList, 0),
np.mean(yList, 0))
# meanPointsList = zip( np.mean(xList, 0), np.mean(yList, 0) )
return ActiveShape(meanPointsList)
def matIxs( n ):
rows, cols = np.indices( (n,n) )
row = rows.flatten()
col = cols.flatten()
return map( lambda x: Vector( x[0], x[1] ), zip( row, col ) )
