Christian osdf

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Project 1: Panorama stitching

Due: 23 Sept 2014, 11:59pm

In this project, you'll write software that stitches multiple images of a scene together into a panorama automatically. A panorama is a composite image that has a wider field of view than a single image, and can combine images taken at different times for interesting effects.

Your image stitcher will, at a minimum, do the following:

	import sys
	import scipy as sp
	from scipy.special import gamma
	import pylab


	a = float(sys.argv[1])
	b = float(sys.argv[2])

	#!/usr/bin/env python
	"""
	__author__: Martin Felder
	Demo for sequential bayesin learning
	for linear regression models. See
	Chapter 3.3 of 'Pattern recognition
	and machine learning' by Chris Bishop, 2001
	"""

	#! /usr/bin/env python
	import numpy
	import time
	import scipy.linalg as linalg

	try:
	import numpy.core._dotblas
	print 'Using ATLAS:'
	except ImportError:
	print 'No ATLAS:'

	#!/usr/bin/env python
	import numpy
	import sys
	import timeit

	try:
	import numpy.core._dotblas
	print 'FAST BLAS'
	except ImportError:
	print 'slow blas'

	require 'torch'
	require 'nn'
	require 'optim'

	trainset = torch.load("mnist.t7/train_32x32.t7", "ascii")
	trainset.data = trainset.data:resize(60000, 32*32)
	trainset.data = trainset.data:double()

	test = torch.load("mnist.t7/test_32x32.t7", "ascii")
	test.data = test.data:resize(10000, 32*32)

	"""
	Some python code for
	Markov Chain Monte Carlo and Gibs sampling
	by Bruce Walsh
	"""


	import numpy as np
	import numpy.linalg as npla