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Fix Mask R-CNN doc #1089

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Jul 4, 2019
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Fix Mask R-CNN doc #1089

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4 changes: 2 additions & 2 deletions torchvision/models/detection/mask_rcnn.py
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Original file line number Diff line number Diff line change
Expand Up @@ -31,7 +31,7 @@ class MaskRCNN(FasterRCNN):
- boxes (Tensor[N, 4]): the ground-truth boxes in [x0, y0, x1, y1] format, with values
between 0 and H and 0 and W
- labels (Tensor[N]): the class label for each ground-truth box
- masks (Tensor[N, H, W]): the segmentation binary masks for each instance
- masks (Tensor[N, 1, H, W]): the segmentation binary masks for each instance

The model returns a Dict[Tensor] during training, containing the classification and regression
losses for both the RPN and the R-CNN, and the mask loss.
Expand All @@ -43,7 +43,7 @@ class MaskRCNN(FasterRCNN):
0 and H and 0 and W
- labels (Tensor[N]): the predicted labels for each image
- scores (Tensor[N]): the scores or each prediction
- masks (Tensor[N, H, W]): the predicted masks for each instance, in 0-1 range. In order to
- masks (Tensor[N, 1, H, W]): the predicted masks for each instance, in 0-1 range. In order to
obtain the final segmentation masks, the soft masks can be thresholded, generally
with a value of 0.5 (mask >= 0.5)

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