R6289/test.py
a19ef641815etranslation_to_python

test.py
View Options

			import motion_compensate
			from code import default_parameters
			from sys import platform
			import os

			def test():
			# Parameters
			param = default_parameters.default_parameters()
			param['lmbd'] = 1000 #Regularization parameter
			param['gamma'] = 100 #Sets the strength of the feature matching constraint

			# Input - Output
			fnMatch='data/1_Horizontal_VNC/tdTom.tif' #Sequence used for feature matching similarity term
			fnIn1='data/1_Horizontal_VNC/GC6s.tif' #Sequence used for brightness constancy term
			fnIn2='data/1_Horizontal_VNC/tdTom.tif' #Sequence warped with the motion field estimated from fnIn1 and fnMatch

			N=2; #Motion is estimated on frames 1 to N. If N=-1, motion is estimated on the whole sequence.

			fnSave='results/test/' #Folder where results are saved
			if not os.path.exists(fnSave):
			os.mkdir(fnSave)

			fnOut1 = os.path.join(fnSave, 'warped1.tif')
			fnOut2 = os.path.join(fnSave, 'warped2.tif')
			fnColor=os.path.join(fnSave, 'colorFlow.tif')

			if platform == "darwin":
			fnDeepMatching='code/external/deepmatching_1.2.2_c++_mac'
			elif platform == "linux" or platform == "linux2":
			fnDeepMatching='code/external/deepmatching_1.2.2_c++_linux'

			motion_compensate.motion_compensate(fnIn1, fnIn2, fnMatch, fnDeepMatching, fnOut1, fnOut2, fnColor, N, param)

			if __name__ == "__main__":
			test()