Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

[Bugfix] test resize with pad_shape #3421

Merged
merged 2 commits into from
Dec 7, 2023
Merged

[Bugfix] test resize with pad_shape #3421

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
47c348d
bugfix test resize with pad_shape
okotaku Nov 6, 2023
a3d0ba2
Fix slide inference
okotaku Nov 27, 2023
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
10 changes: 9 additions & 1 deletion mmseg/models/decode_heads/decode_head.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -350,9 +350,17 @@ def predict_by_feat(self, seg_logits: Tensor,
Tensor: Outputs segmentation logits map.
"""

if isinstance(batch_img_metas[0]['img_shape'], torch.Size):
# slide inference
size = batch_img_metas[0]['img_shape']
elif 'pad_shape' in batch_img_metas[0]:
size = batch_img_metas[0]['pad_shape'][:2]
else:
size = batch_img_metas[0]['img_shape']

seg_logits = resize(
input=seg_logits,
size=batch_img_metas[0]['img_shape'],
size=size,
mode='bilinear',
align_corners=self.align_corners)
return seg_logits
7 changes: 5 additions & 2 deletions mmseg/models/decode_heads/san_head.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -586,8 +586,11 @@ def predict_by_feat(self, seg_logits: List[Tensor],
"""
mask_pred = seg_logits[0]
cls_score = seg_logits[1]
if 'pad_shape' in batch_img_metas[0]:
size = batch_img_metas[0]['pad_shape']
if isinstance(batch_img_metas[0]['img_shape'], torch.Size):
# slide inference
size = batch_img_metas[0]['img_shape']
elif 'pad_shape' in batch_img_metas[0]:
size = batch_img_metas[0]['pad_shape'][:2]
else:
size = batch_img_metas[0]['img_shape']
# upsample mask
Expand Down
9 changes: 8 additions & 1 deletion projects/hssn/decode_head/sep_aspp_contrast_head.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -127,10 +127,17 @@ def predict_by_feat(self, seg_logits: Tuple[Tensor],
# elif seg_logit.size(1) == 144 # For Mapillary dataset, 124+16+4
# unofficial repository not release mapillary until 2023/2/6

if isinstance(batch_img_metas[0]['img_shape'], torch.Size):
# slide inference
size = batch_img_metas[0]['img_shape']
elif 'pad_shape' in batch_img_metas[0]:
size = batch_img_metas[0]['pad_shape'][:2]
else:
size = batch_img_metas[0]['img_shape']
seg_logit = seg_logit[:, :-hiera_num_classes]
seg_logit = resize(
input=seg_logit,
size=batch_img_metas[0]['img_shape'],
size=size,
mode='bilinear',
align_corners=self.align_corners)

Expand Down