Loading bin/image_match.py +6 −11 Original line number Diff line number Diff line Loading @@ -8,17 +8,10 @@ from autocnet.graph.network import CandidateGraph from autocnet.fileio.io_controlnetwork import to_isis from autocnet.fileio.io_controlnetwork import write_filelist ''' parser = argparse.ArgumentParser() parser.add_argument('filename', action='store') print(parser.parse_args()) ''' cg = CandidateGraph.from_adjacency(sys.argv[1], basepath='/home/acpaquette/Desktop/') cg = CandidateGraph.from_adjacency(args.filename, basepath='/home/acpaquette/Desktop/') # Apply SIFT to extract features cg.extract_features(method='sift', extractor_parameters={'nfeatures': 500}) cg.extract_features(method='sift', extractor_parameters={'nfeatures': 1000}) # Match cg.match_features() Loading @@ -32,10 +25,10 @@ m = cg.edge[0][1].masks # Compute a homography and apply RANSAC cg.compute_fundamental_matrices(clean_keys=['ratio', 'symmetry']) cg.suppress(clean_keys=['fundamental']) cg.subpixel_register(clean_keys=['fundamental', 'symmetry', 'ratio'], template_size=5, search_size=15) cg.suppress(clean_keys=['fundamental'], k=50) cnet = cg.to_cnet(clean_keys=['subpixel'], isis_serials=True) filelist = cg.to_filelist() Loading @@ -43,6 +36,8 @@ write_filelist(filelist, 'TestList.lis') to_isis('TestList.net', cnet, mode='wb', targetname='Moon') if __ # Ticket calls for a user specified "file list". # What kind of "file list" should this ui take? Should it be in the form of a .json file or should we allow the user # to enter the images he/she wants to look at in particular and parse them into a .json? Loading Loading
bin/image_match.py +6 −11 Original line number Diff line number Diff line Loading @@ -8,17 +8,10 @@ from autocnet.graph.network import CandidateGraph from autocnet.fileio.io_controlnetwork import to_isis from autocnet.fileio.io_controlnetwork import write_filelist ''' parser = argparse.ArgumentParser() parser.add_argument('filename', action='store') print(parser.parse_args()) ''' cg = CandidateGraph.from_adjacency(sys.argv[1], basepath='/home/acpaquette/Desktop/') cg = CandidateGraph.from_adjacency(args.filename, basepath='/home/acpaquette/Desktop/') # Apply SIFT to extract features cg.extract_features(method='sift', extractor_parameters={'nfeatures': 500}) cg.extract_features(method='sift', extractor_parameters={'nfeatures': 1000}) # Match cg.match_features() Loading @@ -32,10 +25,10 @@ m = cg.edge[0][1].masks # Compute a homography and apply RANSAC cg.compute_fundamental_matrices(clean_keys=['ratio', 'symmetry']) cg.suppress(clean_keys=['fundamental']) cg.subpixel_register(clean_keys=['fundamental', 'symmetry', 'ratio'], template_size=5, search_size=15) cg.suppress(clean_keys=['fundamental'], k=50) cnet = cg.to_cnet(clean_keys=['subpixel'], isis_serials=True) filelist = cg.to_filelist() Loading @@ -43,6 +36,8 @@ write_filelist(filelist, 'TestList.lis') to_isis('TestList.net', cnet, mode='wb', targetname='Moon') if __ # Ticket calls for a user specified "file list". # What kind of "file list" should this ui take? Should it be in the form of a .json file or should we allow the user # to enter the images he/she wants to look at in particular and parse them into a .json? Loading