Exemplo n.º 1
0
 def _plot_confusion_matrix(self,
                            logger,
                            epoch,
                            confusion_matrix,
                            class_names=None):
     fig = utils.plot_confusion_matrix(confusion_matrix,
                                       class_names=class_names,
                                       normalize=True,
                                       show=False,
                                       **self._plot_params)
     fig = utils.render_figure_to_tensor(fig)
     logger.add_image(f"{self.prefix}/epoch", fig, global_step=epoch)
Exemplo n.º 2
0
 def _log_to_tensorboard(self, image: np.ndarray, logger, step) -> None:
     fig = plt.figure(figsize=(10, 10))
     plt.imshow(image)
     fig = utils.render_figure_to_tensor(fig)
     logger.add_image(self.key, fig, global_step=step)