use argparse defaults
parent
ac9077ff67
commit
25d801bd15
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@ -34,11 +34,7 @@ logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)
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def run(args):
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""" Run LM optimization with BAL input data and report resulting error """
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# Find default file, but if an argument is given, try loading a file
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if args.input_file:
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input_file = args.input_file
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else:
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input_file = gtsam.findExampleDataFile("dubrovnik-3-7-pre")
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input_file = gtsam.findExampleDataFile(args.input_file)
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# # Load the SfM data from file
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mydata = readBal(input_file)
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@ -62,13 +58,13 @@ def run(args):
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graph.add(GeneralSFMFactorCal3Bundler(uv, noise, C(i), P(j)))
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j += 1
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# # Add a prior on pose x1. This indirectly specifies where the origin is.
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# # and a prior on the position of the first landmark to fix the scale
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# Add a prior on pose x1. This indirectly specifies where the origin is.
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graph.push_back(
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gtsam.PriorFactorPinholeCameraCal3Bundler(
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C(0), mydata.camera(0), gtsam.noiseModel.Isotropic.Sigma(9, 0.1)
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)
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)
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# Also add a prior on the position of the first landmark to fix the scale
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graph.push_back(
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gtsam.PriorFactorPoint3(
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P(0), mydata.track(0).point3(), gtsam.noiseModel.Isotropic.Sigma(3, 0.1)
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@ -107,7 +103,7 @@ def run(args):
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument('-i', '--input_file', type=str, default="",
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parser.add_argument('-i', '--input_file', type=str, default="dubrovnik-3-7-pre",
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help='Read SFM data from the specified BAL file')
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run(parser.parse_args())
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