fuzzy_exp_vis

Description

Helper functions for visualization of fuzzy logic experiment results.

Functions

compare_orig_wt_masks(img_t, masks[, ...])	Plot a figure comparing the original img_t with the created masks (values in [0,1]).
conf_to_fn(conf)	Turn a sacred experiment config to a unique file name.
plot_curve(metrics_pd[, x, y, ax, ...])	Plot a curve of y against x varying the value of variables[0] given constraints.
plot_metric(metrics_pd, model_key[, ...])	Plot a bar chart for each of the given metrics from entries in metrics_pd.
plot_summaries(mask_dfs[, save_as])	Plot row of bar plots one for each summary mask DataFrame.
summarize_plot_visualize_exp(...[, ...])	Concatenation of per image stats gathering, stats summary, and optional visualization of formula body masks.
to_custom_displayable_masks(out[, ...])	Custom post-process of a formula calculation output dict for easy display with compare_orig_with_masks.
to_displayable_masks(masks[, target_size])	Turn all mask items of masks into shape [h,w], potentially splitting up stacked masks.
visualize_most_interesting_samples(df, conf)	Plot the masks for most num_samples interesting samples side by side.
visualize_random_samples(experiment_root, ...)	For the first num_samples samples visualize the cached concept and recalculated formula output masks.