We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
There was an error while loading. Please reload this page.
1 parent 9947bea commit 996575eCopy full SHA for 996575e
README.md
@@ -171,7 +171,7 @@ cam_metric = ROADMostRelevantFirst(percentile=75)
171
scores, perturbation_visualizations = cam_metric(input_tensor,
172
grayscale_cams, targets, model, return_visualization=True)
173
174
-# You can also average accross different percentiles, and combine
+# You can also average across different percentiles, and combine
175
# (LeastRelevantFirst - MostRelevantFirst) / 2
176
from pytorch_grad_cam.metrics.road import ROADMostRelevantFirstAverage,
177
ROADLeastRelevantFirstAverage,
0 commit comments