seg_visualization

class seg_visualization(width=1000, height=500)

docstring for JupyterFrontend.

Methods

seg_visualization.add_bounding_box(boxlength)	draws a bounding box according to the tomogram size
seg_visualization.add_fit(model[, ...])
seg_visualization.add_model(model[, ...])
seg_visualization.cluster_checkbox(cluster_index)	emphasize the view of the active segment cluster
seg_visualization.delete_model(model_index)
seg_visualization.highlight_cluster(...)	highlight cluster chosen with slider
seg_visualization.highlight_clusters(obj)	highlight cluster chosen with multi_select
seg_visualization.highlight_fits(obj)	highlight RBF fit chosen with selector
seg_visualization.load_all_models(cluster_list)	load all models from memory Use to initialize gui.
seg_visualization.load_all_models_fit(...)	load all fir models from memory Use to initialize gui.
seg_visualization.load_all_models_from_file(...)	Load all xyz files from the xyz folder
seg_visualization.load_model_from_file(filename)
seg_visualization.load_normal_positions(...)
seg_visualization.load_protein_positions(...)	load all
seg_visualization.make_xyz_string(point_cloud)	In memory XYZ string to load point cloud
seg_visualization.make_xyz_string_protein(...)	In memory XYZ string to load point cloud
seg_visualization.removeAll()
seg_visualization.update_highlight_clusters(indices)
seg_visualization.update_highlight_fits(indices)
seg_visualization.view_update()	Update view of molecules
seg_visualization.view_zoomto()	zoomTo shortcut