本文整理汇总了Python中Image.Image.truncate_descriptor方法的典型用法代码示例。如果您正苦于以下问题：Python Image.truncate_descriptor方法的具体用法？Python Image.truncate_descriptor怎么用？Python Image.truncate_descriptor使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Image.Image的用法示例。
在下文中一共展示了Image.truncate_descriptor方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: main
# 需要导入模块: from Image import Image [as 别名]
# 或者: from Image.Image import truncate_descriptor [as 别名]
def main():
#legend for diagnosis and input path and type of card
print("1.Normal Conditions\n2.Gas Interference\n3.Fluid Pound\n4.Traveling Valve Leak\n5.Standing Valve Leak\n6.Pump Hitting on Top\n7.Pump Hitting on Bottom\n8.Plugged Pump Intake\n9.Flumping\n10.Gas Lock\n11.Tubing Movement or Malfunctions in Tubing anchor\n12.Rod Parted\n13.Oil Too viscous")
Card_image = input("Enter card Path : ")
Diagnosis = input("Enter Downhole Diagnosis index :")
#save card descritpors into input file
card= Image()
descriptors=card.findDescriptor(Card_image)
descriptors=card.truncate_descriptor(descriptors,18)
print (descriptors)
save = open("input.dat", "a")
# numpy.savetxt(save,descriptors.view(complex).reshape(1, descriptors.shape[0]))
numpy.savetxt(save, descriptors.reshape(1, descriptors.shape[0]), fmt = '%.4f%+.4fj '*18)
numpy.save
##, fmt = "%.10f"
save.close()
#save card diagnosis into output file
if Diagnosis ==1:
save = open("output.dat", "a")
output = numpy.zeros([1, 13], dtype=numpy.float32)
numpy.savetxt(save, output.reshape(1, output.shape[1]), newline = "\r")
save.close()
elif Diagnosis ==2:
save = open("output.dat", "a")
output = numpy.zeros([1, 13], dtype=numpy.float32)
output[0,0]=1
numpy.savetxt(save, output.reshape(1, output.shape[1]), newline = "\r")
save.close()
elif Diagnosis ==3:
save = open("output.dat", "a")
output = numpy.zeros([1, 13], dtype=numpy.float32)
output[0,1]=1
numpy.savetxt(save, output.reshape(1, output.shape[1]), newline = "\r")
save.close()
elif Diagnosis ==4:
save = open("output.dat", "a")
output = numpy.zeros([1, 13], dtype=numpy.float32)
output[0,2]=1
numpy.savetxt(save, output.reshape(1, output.shape[1]), newline = "\r")
save.close()
elif Diagnosis ==5:
save = open("output.dat", "a")
output = numpy.zeros([1, 13], dtype=numpy.float32)
output[0,3]=1
numpy.savetxt(save, output.reshape(1, output.shape[1]), newline = "\r")
save.close()
elif Diagnosis ==6:
save = open("output.dat", "a")
output = numpy.zeros([1, 13], dtype=numpy.float32)
output[0,4]=1
numpy.savetxt(save, output.reshape(1, output.shape[1]), newline = "\r")
save.close()
elif Diagnosis ==7:
save = open("output.dat", "a")
output = numpy.zeros([1, 13], dtype=numpy.float32)
output[0,5]=1
numpy.savetxt(save, output.reshape(1, output.shape[1]), newline = "\r")
save.close()
elif Diagnosis ==8:
save = open("output.dat", "a")
output = numpy.zeros([1, 13], dtype=numpy.float32)
output[0,6]=1
numpy.savetxt(save, output.reshape(1, output.shape[1]), newline = "\r")
save.close()
elif Diagnosis ==9:
save = open("output.dat", "a")
output = numpy.zeros([1, 13], dtype=numpy.float32)
output[0,7]=1
numpy.savetxt(save, output.reshape(1, output.shape[1]), newline = "\r")
save.close()
elif Diagnosis ==10:
save = open("output.dat", "a")
output = numpy.zeros([1, 13], dtype=numpy.float32)
output[0,8]=1
numpy.savetxt(save, output.reshape(1, output.shape[1]), newline = "\r")
save.close()
elif Diagnosis ==11:
save = open("output.dat", "a")
output = numpy.zeros([1, 13], dtype=numpy.float32)
output[0,9]=1
numpy.savetxt(save, output.reshape(1, output.shape[1]), newline = "\r")
save.close()
elif Diagnosis ==12:
save = open("output.dat", "a")
output = numpy.zeros([1, 13], dtype=numpy.float32)
output[0,10]=1
numpy.savetxt(save, output.reshape(1, output.shape[1]), newline = "\r")
save.close()
elif Diagnosis ==13:
save = open("output.dat", "a")
output = numpy.zeros([1, 13], dtype=numpy.float32)
output[0,11]=1
numpy.savetxt(save, output.reshape(1, output.shape[1]), newline = "\r")
save.close()