removed jigsaw notebook

%% Cell type:markdown id: tags:

# This notebook outputs an ISIS-friendly list file and control network which can be used for qnet and jigsaw.

%% Cell type:code id: tags:

``` python

import os

import sys

sys.path.insert(0, os.path.abspath('..'))

import unittest

from autocnet.examples import get_path

from autocnet.fileio.io_controlnetwork import to_isis

from autocnet.fileio.io_controlnetwork import write_filelist

from autocnet.graph.network import CandidateGraph

```

%% Cell type:code id: tags:

``` python

serial_numbers = {'AS15-M-0295_sub4.cub': '1971-07-31T01:24:11.754',

                  'AS15-M-0296_sub4.cub': '1971-07-31T01:24:36.970',

                   'AS15-M-0297_sub4.cub': '1971-07-31T01:25:02.243',

                   'AS15-M-0298_sub4.cub': '1971-07-31T01:25:27.457',

                'AS15-M-0299_sub4.cub': '1971-07-31T01:25:52.669',

                'AS15-M-0300_sub4.cub': '1971-07-31T01:26:17.923'}

for k, v in serial_numbers.items():

            serial_numbers[k] = 'APOLLO15/METRIC/{}'.format(v)

```

%% Cell type:markdown id: tags:

For the following to work, copy the cubes in `/work/projects/Apollo/METRIC/AS15/Cubes/Reduced/Sub4/REV16/AS15-M-029[5-9]_sub4.cub` to the `examples/Apollo15` directory

%% Cell type:code id: tags:

``` python

adjacency = get_path('two_image_adjacency_ISIS.json')

basepath = get_path('Apollo15')

cg = CandidateGraph.from_adjacency(adjacency, basepath=basepath)

```

%% Cell type:code id: tags:

``` python

cg.extract_features(method='sift', extractor_parameters={"nfeatures":500})

cg.match_features(k=5)

```

%% Cell type:code id: tags:

``` python

for source, destination, edge in cg.edges_iter(data=True):

    # Perform the symmetry check

    edge.symmetry_check()

    # Perform the ratio test

    edge.ratio_check(ratio=0.8)

```

%% Cell type:code id: tags:

``` python

cg.compute_homographies(clean_keys=['symmetry', 'ratio'])

```

%% Cell type:code id: tags:

``` python

# Step: And create a C object

cnet = cg.to_cnet(clean_keys=['symmetry', 'ratio', 'ransac'])

# Step: Create a fromlist to go with the cnet and write it to a file

filelist = cg.to_filelist()

write_filelist(filelist, path="fromlis_ISIS.lis")

# Step update the serial numbers

nid_to_serial = {}

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

    nid_to_serial[i] = serial_numbers[node.image_name]

cnet.replace({'nid': nid_to_serial}, inplace=True)

# Step: Output a control network

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

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

```

%% Cell type:markdown id: tags:

Now, there should be a fromlis_ISIS.lis and a TestTwoImageMatchingISIS.net in the notebook's current working directory.

%% Cell type:markdown id: tags:

Using these to run the following using the current `isis3beta` completes without error (I don't know if the results make sense):

    jigsaw fromlist=fromlis_ISIS.lis cnet=TestTwoImageMatchingISIS.net onet=onet.net twist=no

%% Cell type:code id: tags:

``` python

```