forensicfit.utils.plotter module#
- forensicfit.utils.plotter.get_figure_size(dpi, image_shape, zoom=4, margin=4)[source]#
- Return type:
Tuple[float,float]
- forensicfit.utils.plotter.plot_coordinate_based(coordinates, slopes, stds, mode=None, ax=None, plot_slope=True, plot_error_bars=True, plot_edge=True, show=True, dark_bg=True, **kwargs)[source]#
- Return type:
Axes
- forensicfit.utils.plotter.plot_pair(obj_1, obj_2, text=None, which='boundary', mode=None, savefig=None, cmap='gray', show=True, figsize=None, labels=None, title=None, zoom=4, **kwargs)[source]#
- Return type:
Tuple[Figure,Axes]
- forensicfit.utils.plotter.plot_pairs(objs, text=None, which='boundary', mode=None, savefig=None, cmap='gray', show=False, figsize=None, labels=None, title=None, zoom=4, **kwargs)[source]#
- Return type:
Tuple[Figure,Axes]
- forensicfit.utils.plotter.plot_confusion_matrix(matrix, class_names, title='Confusion matrix', cmap='Blues', normalize=False, savefig=None, ax=None, show=True, colorbar=True)[source]#