def getTransform_sift(self, centerimagedata1, griddata2):
# Not yet working
griddata1 = centerimagedata1['grid']
result = self.loadTransform(griddata1, griddata2)
if result is None:
centerimagedata2 = self.reacquireImage(centerimagedata1,
griddata=griddata2)
image1 = centerimagedata1['image']
image2 = centerimagedata2['image']
self.logger.info('Calculating main transform...')
resultold = align.findRotationScaleTranslation(image1, image2)
resultmatrix = libCVwrapper.MatchImages(image1, image2)
# The following conversion may be incorrect
rotation = math.atan2(resultmatrix[(0,1)],resultmatrix[(1,1)])
scale = 1
shift = (resultmatrix[(0,0)],resultmatrix[(1,0)])
result = rotation,scale,shift,1,1
self.saveTransform(result, griddata1, griddata2)
else:
self.logger.info('Loading main transform...')
rotation, scale, shift, rsvalue, value = result
rsm = 'Rotation: %g, scale: %g, peak value: %g' % (rotation, scale, rsvalue)
tm = 'shift: (%g, %g), peak value: %g' % (shift + (value,))
self.logger.info(rsm + ', ' + tm)
return result, centerimagedata2
def getTransform_sift(self, centerimagedata1, griddata2):
# Not yet working
griddata1 = centerimagedata1['grid']
result = self.loadTransform(griddata1, griddata2)
if result is None:
centerimagedata2 = self.reacquireImage(centerimagedata1,
griddata=griddata2)
image1 = centerimagedata1['image']
image2 = centerimagedata2['image']
self.logger.info('Calculating main transform...')
resultold = align.findRotationScaleTranslation(image1, image2)
resultmatrix = libCVwrapper.MatchImages(image1, image2)
# The following conversion may be incorrect
rotation = math.atan2(resultmatrix[(0, 1)], resultmatrix[(1, 1)])
scale = 1
shift = (resultmatrix[(0, 0)], resultmatrix[(1, 0)])
result = rotation, scale, shift, 1, 1
self.saveTransform(result, griddata1, griddata2)
else:
self.logger.info('Loading main transform...')
rotation, scale, shift, rsvalue, value = result
rsm = 'Rotation: %g, scale: %g, peak value: %g' % (rotation, scale,
rsvalue)
tm = 'shift: (%g, %g), peak value: %g' % (shift + (value, ))
self.logger.info(rsm + ', ' + tm)
return result, centerimagedata2
def register(self, array1, array2): result = align.findRotationScaleTranslation(array1, array2) rotation, scale, shift, rsvalue, value = result matrix = numpy.matrix(numpy.identity(3, numpy.float)) matrix[0,0] = scale*math.cos(rotation) matrix[0,1] = -scale*math.sin(rotation) matrix[1,0] = scale*math.sin(rotation) matrix[1,1] = scale*math.cos(rotation) matrix[2,0] = shift[0] matrix[2,1] = shift[1] return matrix
def register(self, array1, array2):
result = align.findRotationScaleTranslation(array1, array2)
rotation, scale, shift, rsvalue, value = result
matrix = numpy.matrix(numpy.identity(3, numpy.float))
matrix[0, 0] = scale * math.cos(rotation)
matrix[0, 1] = -scale * math.sin(rotation)
matrix[1, 0] = scale * math.sin(rotation)
matrix[1, 1] = scale * math.cos(rotation)
matrix[2, 0] = shift[0]
matrix[2, 1] = shift[1]
return matrix
def getTransform(self, centerimagedata1, griddata2):
griddata1 = centerimagedata1['grid']
result = self.loadTransform(griddata1, griddata2)
if result is None:
centerimagedata2 = self.reacquireImage(centerimagedata1,
griddata=griddata2)
image1 = centerimagedata1['image']
image2 = centerimagedata2['image']
self.logger.info('Calculating main transform...')
result = align.findRotationScaleTranslation(image1, image2)
self.saveTransform(result, griddata1, griddata2)
else:
self.logger.info('Loading main transform...')
rotation, scale, shift, rsvalue, value = result
rsm = 'Rotation: %g, scale: %g, peak value: %g' % (rotation, scale, rsvalue)
tm = 'shift: (%g, %g), peak value: %g' % (shift + (value,))
self.logger.info(rsm + ', ' + tm)
return result, centerimagedata2
def getTransform(self, centerimagedata1, griddata2):
griddata1 = centerimagedata1['grid']
result = self.loadTransform(griddata1, griddata2)
if result is None:
centerimagedata2 = self.reacquireImage(centerimagedata1,
griddata=griddata2)
image1 = centerimagedata1['image']
image2 = centerimagedata2['image']
self.logger.info('Calculating main transform...')
result = align.findRotationScaleTranslation(image1, image2)
self.saveTransform(result, griddata1, griddata2)
else:
self.logger.info('Loading main transform...')
rotation, scale, shift, rsvalue, value = result
rsm = 'Rotation: %g, scale: %g, peak value: %g' % (rotation, scale,
rsvalue)
tm = 'shift: (%g, %g), peak value: %g' % (shift + (value, ))
self.logger.info(rsm + ', ' + tm)
return result, centerimagedata2
