in slowfast/visualization/tensorboard_vis.py [0:0]
def plot_eval(self, preds, labels, global_step=None):
"""
Plot confusion matrices and histograms for eval/test set.
Args:
preds (tensor or list of tensors): list of predictions.
labels (tensor or list of tensors): list of labels.
global step (Optional[int]): current step in eval/test.
"""
if not self.cfg.DETECTION.ENABLE:
cmtx = None
if self.cfg.TENSORBOARD.CONFUSION_MATRIX.ENABLE:
cmtx = vis_utils.get_confusion_matrix(
preds, labels, self.cfg.MODEL.NUM_CLASSES
)
# Add full confusion matrix.
add_confusion_matrix(
self.writer,
cmtx,
self.cfg.MODEL.NUM_CLASSES,
global_step=global_step,
class_names=self.class_names,
figsize=self.cm_figsize,
)
# If a list of subset is provided, plot confusion matrix subset.
if self.cm_subset_classes is not None:
add_confusion_matrix(
self.writer,
cmtx,
self.cfg.MODEL.NUM_CLASSES,
global_step=global_step,
subset_ids=self.cm_subset_classes,
class_names=self.class_names,
tag="Confusion Matrix Subset",
figsize=self.cm_figsize,
)
# If a parent-child classes mapping is provided, plot confusion
# matrices grouped by parent classes.
if self.parent_map is not None:
# Get list of tags (parent categories names) and their children.
for parent_class, children_ls in self.parent_map.items():
tag = (
"Confusion Matrices Grouped by Parent Classes/"
+ parent_class
)
add_confusion_matrix(
self.writer,
cmtx,
self.cfg.MODEL.NUM_CLASSES,
global_step=global_step,
subset_ids=children_ls,
class_names=self.class_names,
tag=tag,
figsize=self.cm_figsize,
)
if self.cfg.TENSORBOARD.HISTOGRAM.ENABLE:
if cmtx is None:
cmtx = vis_utils.get_confusion_matrix(
preds, labels, self.cfg.MODEL.NUM_CLASSES
)
plot_hist(
self.writer,
cmtx,
self.cfg.MODEL.NUM_CLASSES,
self.cfg.TENSORBOARD.HISTOGRAM.TOPK,
global_step=global_step,
subset_ids=self.hist_subset_classes,
class_names=self.class_names,
figsize=self.hist_figsize,
)