'''
height, width = self.coeffs['shape']
ux,uy = self.getDeflection(width, height)
r = self.coeffs['reprojectionError']#is RMSE of imgPoint-projectedPoints
#transform to standard uncertainty
#we assume rectangular distribution:
ux = ux/(2 * 3**0.5)
uy = uy/(2 * 3**0.5)
return (ux,r), (uy,r), ()
if __name__ == '__main__':
from fancytools.os.PathStr import PathStr
import sys
folder = PathStr(imgProcessor.__file__).dirname().join(
'media', 'lens_distortion')
imgs = folder.all()
l = LensDistortion()
l.calibrate(board_size=(4,11), method='Asymmetric circles',
images=imgs, sensorSize_mm=(18,13.5) )
print l.getCoeffStr()
img = l.drawChessboard()
if 'no_window' not in sys.argv:
cv2.imshow('chessboard', img)
cv2.waitKey(0)
(1x,2x), (1y, 2y), (intensity:None)
1. px-size-changes(due to deflection)
2. reprojection error
'''
height, width = self.coeffs['shape']
fx, fy = self.getDeflection(width, height)
# is RMSE of imgPoint-projectedPoints
r = self.coeffs['reprojectionError']
t = (sharpness**2 + r**2)**0.5
return fx * t, fy * t
if __name__ == '__main__':
from fancytools.os.PathStr import PathStr
import sys
folder = PathStr(imgProcessor.__file__).dirname().join(
'media', 'lens_distortion')
imgs = folder.all()
l = LensDistortion()
l.calibrate(board_size=(4, 11), method='Asymmetric circles',
images=imgs, sensorSize_mm=(18, 13.5))
print(l.getCoeffStr())
img = l.drawChessboard()
if 'no_window' not in sys.argv:
cv2.imshow('chessboard', img)
cv2.waitKey(0)
