Loading autocnet/io/db/model.py +1 −1 Original line number Diff line number Diff line Loading @@ -362,7 +362,7 @@ class Measures(BaseMixin, Base): apriorisample = Column(Float) samplesigma = Column(Float) linesigma = Column(Float) weight = Column(Float, default=1) weight = Column(Float, default=None) rms = Column(Float) @hybrid_property Loading autocnet/matcher/subpixel.py +11 −9 Original line number Diff line number Diff line Loading @@ -424,6 +424,8 @@ def subpixel_register_measure(measureid, iterative_phase_kwargs={}, subpixel_tem # Get the point id and set up the reference measure pointid = destination.pointid source = session.query(Measures).filter(Measures.pointid==pointid).order_by(Measures.id).first() source.weight = 1 sourceid = source.imageid res = session.query(Images).filter(Images.id == sourceid).one() source_node = NetworkNode(node_id=sourceid, image_path=res.path) Loading Loading @@ -458,9 +460,9 @@ def subpixel_register_measure(measureid, iterative_phase_kwargs={}, subpixel_tem return # Update the measure if new_template_x: destination.sample = new_template_x destination.line = new_template_y if new_phase_x: destination.sample = new_phase_x destination.line = new_phase_y destination.weight = cost # In case this is a second run, set the ignore to False if this Loading Loading @@ -667,7 +669,7 @@ def cluster_subpixel_register_points(iterative_phase_kwargs={'size': 251}, time=walltime, partition=config['cluster']['queue'], output=config['cluster']['cluster_log_dir']+f'/autocnet.subpixel_register-%j') submitter.submit(array='1-{}'.format(job_counter), chunksize=chunksize, exclude=exclude) submitter.submit(array='1-{}%24'.format(job_counter), chunksize=chunksize, exclude=exclude) return job_counter def cluster_subpixel_register_measures(iterative_phase_kwargs={'size': 251}, Loading autocnet/spatial/overlap.py +2 −2 Original line number Diff line number Diff line Loading @@ -124,7 +124,7 @@ def cluster_place_points_in_overlaps(size_threshold=0.0007, partition=config['cluster']['queue'], output=config['cluster']['cluster_log_dir']+'/autocnet.place_points-%j') job_counter = i+1 submitter.submit(array='1-{}'.format(job_counter), chunksize=chunksize, exclude=exclude) submitter.submit(array='1-{}%24'.format(job_counter), chunksize=chunksize, exclude=exclude) return job_counter def place_points_in_overlap(nodes, geom, cam_type="csm", Loading Loading
autocnet/io/db/model.py +1 −1 Original line number Diff line number Diff line Loading @@ -362,7 +362,7 @@ class Measures(BaseMixin, Base): apriorisample = Column(Float) samplesigma = Column(Float) linesigma = Column(Float) weight = Column(Float, default=1) weight = Column(Float, default=None) rms = Column(Float) @hybrid_property Loading
autocnet/matcher/subpixel.py +11 −9 Original line number Diff line number Diff line Loading @@ -424,6 +424,8 @@ def subpixel_register_measure(measureid, iterative_phase_kwargs={}, subpixel_tem # Get the point id and set up the reference measure pointid = destination.pointid source = session.query(Measures).filter(Measures.pointid==pointid).order_by(Measures.id).first() source.weight = 1 sourceid = source.imageid res = session.query(Images).filter(Images.id == sourceid).one() source_node = NetworkNode(node_id=sourceid, image_path=res.path) Loading Loading @@ -458,9 +460,9 @@ def subpixel_register_measure(measureid, iterative_phase_kwargs={}, subpixel_tem return # Update the measure if new_template_x: destination.sample = new_template_x destination.line = new_template_y if new_phase_x: destination.sample = new_phase_x destination.line = new_phase_y destination.weight = cost # In case this is a second run, set the ignore to False if this Loading Loading @@ -667,7 +669,7 @@ def cluster_subpixel_register_points(iterative_phase_kwargs={'size': 251}, time=walltime, partition=config['cluster']['queue'], output=config['cluster']['cluster_log_dir']+f'/autocnet.subpixel_register-%j') submitter.submit(array='1-{}'.format(job_counter), chunksize=chunksize, exclude=exclude) submitter.submit(array='1-{}%24'.format(job_counter), chunksize=chunksize, exclude=exclude) return job_counter def cluster_subpixel_register_measures(iterative_phase_kwargs={'size': 251}, Loading
autocnet/spatial/overlap.py +2 −2 Original line number Diff line number Diff line Loading @@ -124,7 +124,7 @@ def cluster_place_points_in_overlaps(size_threshold=0.0007, partition=config['cluster']['queue'], output=config['cluster']['cluster_log_dir']+'/autocnet.place_points-%j') job_counter = i+1 submitter.submit(array='1-{}'.format(job_counter), chunksize=chunksize, exclude=exclude) submitter.submit(array='1-{}%24'.format(job_counter), chunksize=chunksize, exclude=exclude) return job_counter def place_points_in_overlap(nodes, geom, cam_type="csm", Loading