Revert "This commit adds a functional test for 2 image matching"

import os

import unittest

from scipy.misc import bytescale

from autocnet.control import C

from autocnet.examples import get_path

from autocnet.fileio.io_gdal import GeoDataset

from autocnet.fileio.io_controlnetwork import to_isis

from autocnet.graph.network import CandidateGraph

class TestTwoImageMatching(unittest.TestCase):

    """

    Feature: As a user

        I wish to automatically match two images to

        Generate an ISIS control network

        Background:

            Given that I have two manually identified overlapping images

            Specified in two_image_adjacency.json

        Scenario: Create an adjacency graph

            Extract image data and attribute nodes

            Then find features and descriptors

            And tag these to the graph nodes

            Then apply a FLANN matcher

            And create a C object

            Output a control network

    """

    def test_two_image(self):

        # Step: Create an adjacency graph

        adjacency = get_path('two_image_adjacency.json')

        basepath = os.path.dirname(adjacency)

        cg = CandidateGraph.from_adjacency(adjacency)

        self.assertEqual(2, cg.number_of_nodes())

        self.assertEqual(2, cg.number_of_edges())

        # Step: Extract image data and attribute nodes

        for node, attributes in cg.nodes_iter(data=True):

            dataset = GeoDataset(os.path.join(basepath, node))

            attributes['handle'] = dataset

            attributes['image'] = bytescale(dataset.read_array())

        # Step: Then find features and descriptors

        # Step: And tag these to the graph nodes

        for node, attributes in cg.nodes_iter(data=True):

            attributes['features'] = 'a'  # Will be our feature/descriptor data structure

            attributes['descriptors'] = 'b'

        # Step: Then apply a FLANN matcher

        # Step: And create a C object

        cnet = C()

        # Step: Output a control network

        to_isis('TestTwoImageMatching.net', cnet, mode='wb',

                networkid='TestTwoImageMatching', targetname='Moon')

        self.assertTrue(False)