DeepSDFStruct.deep_sdf.plotting#

Training Visualization and Logging#

This module provides utilities for visualizing DeepSDF training progress and generating plots of training metrics.

plot_logs: Plot training loss curves with smoothing and optional learning rate overlay. Useful for monitoring training progress and diagnosing convergence issues.
plot_reconstruction_loss: Visualize loss during shape reconstruction, showing how well the model fits to target geometries.
extract_paths: Helper for extracting file paths from nested data structures.
running_mean: Compute running average for smoothing noisy loss curves.

The module integrates with the workspace utilities to load training logs and generate publication-quality plots for analysis and presentation.

Functions

`extract_paths`(data[, current_path])
`plot_logs`(experiment_directory[, show_lr, ...])
`plot_reconstruction_loss`(loss_history, ...)
`running_mean`(x, N)

DeepSDFStruct.deep_sdf.plotting.plot_logs(experiment_directory, show_lr=False, ax=None, filename=None)#

DeepSDFStruct.deep_sdf.plotting.plot_reconstruction_loss(loss_history, iters_per_epoch, filename=None)#