6ea94ab139681914fa165403a283c3b0d08b783b,doc/examples/segment_quickbundles.py,,,#,25
Before Change
streams, hdr = tv.read(fname)
streamlines = [i[0] for i in streams]
Perform QuickBundles clustering using the MDF metric and a 10mm distance
After Change
Load fornix streamlines.
fornix = load_tractogram(fname, "same",
bbox_valid_check=False).streamlines
streamlines = Streamlines(fornix)
Perform QuickBundles clustering using the MDF metric and a 10mm distance
threshold. Keep in mind that since the MDF metric requires streamlines to have
In pattern: SUPERPATTERN
Frequency: 6
Non-data size: 6
Instances
Project Name: nipy/dipy
Commit Name: 6ea94ab139681914fa165403a283c3b0d08b783b
Time: 2019-07-30
Author: skab12@gmail.com
File Name: doc/examples/segment_quickbundles.py
Class Name:
Method Name:
Project Name: nipy/dipy
Commit Name: 6ea94ab139681914fa165403a283c3b0d08b783b
Time: 2019-07-30
Author: skab12@gmail.com
File Name: doc/examples/segment_extending_clustering_framework.py
Class Name:
Method Name:
Project Name: nipy/dipy
Commit Name: 6ea94ab139681914fa165403a283c3b0d08b783b
Time: 2019-07-30
Author: skab12@gmail.com
File Name: doc/examples/segment_extending_clustering_framework.py
Class Name:
Method Name:
Project Name: nipy/dipy
Commit Name: 6ea94ab139681914fa165403a283c3b0d08b783b
Time: 2019-07-30
Author: skab12@gmail.com
File Name: doc/examples/segment_clustering_metrics.py
Class Name:
Method Name: get_streamlines
Project Name: nipy/dipy
Commit Name: 6ea94ab139681914fa165403a283c3b0d08b783b
Time: 2019-07-30
Author: skab12@gmail.com
File Name: dipy/tracking/benchmarks/bench_streamline.py
Class Name:
Method Name: bench_compress_streamlines
Project Name: nipy/dipy
Commit Name: 6ea94ab139681914fa165403a283c3b0d08b783b
Time: 2019-07-30
Author: skab12@gmail.com
File Name: doc/examples/segment_clustering_features.py
Class Name:
Method Name: get_streamlines