Python_Library

Self-defined Python Library

CVkmeans4K.py:

• Conduct cross-validation Kmeans thru K to figure out the best K

Kmeans_2DImageSet.py:

• Conduct Kmeans on 2D gray-scale Image set to cluster them into different groups. Cross-validation is used to determine the K

pgm_processing.py:

• contain the precessing method for PGM

Cal_RMS_between_2Image.py:

• calculate the RMS of two image-difference

MNIST_data:

• tensorflow minst data set.
• Usage:
  • from tensorflow.examples.tutorials.mnist import input_data
  • mnist = input_data.read_data_sets('MNIST_data', one_hot=True)
  • mnist.train.images
  • mnist.train.labels
  • mnist.test.images
  • mnist.test.labels