First draft of user command image_match.py

import os

import sys

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

from autocnet.examples import get_path

from autocnet.graph.network import CandidateGraph

from autocnet.matcher.matcher import FlannMatcher

from autocnet.fileio.io_controlnetwork import to_isis

from autocnet.fileio.io_controlnetwork import write_filelist

from IPython.display import display

cg = CandidateGraph.from_adjacency(sys.argv[1], basepath='/home/acpaquette/Desktop/')

# Apply SIFT to extract features

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

# Match

cg.match_features()

# Apply outlier detection

cg.symmetry_checks()

cg.ratio_checks()

m = cg.edge[0][1].masks

# Compute a homography and apply RANSAC

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

cg.subpixel_register(clean_keys=['fundamental', 'symmetry', 'ratio'],template_size=5, search_size=15)

cnet = cg.to_cnet(clean_keys = ['subpixel'], isis_serials=True)

print(cnet)

filelist = cg.to_filelist()

write_filelist(filelist, 'TestList.lis')

to_isis('TestList.net', cnet, mode = 'wb',targetname='Moon')

{"AS15-M-0414_sub4.cub": ["AS15-M-0413_sub4.cub", "AS15-M-0412_sub4.cub"],

  "AS15-M-0413_sub4.cub" : ["AS15-M-0414_sub4.cub", "AS15-M-0412_sub4.cub"],

  "AS15-M-0412_sub4.cub" : ["AS15-M-0413_sub4.cub", "AS15-M-0414_sub4.cub"]}

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