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

TTA augument boxes one pixel shifted in de-flip ud and lr #2219

Merged
merged 2 commits into from
Feb 15, 2021
Merged

TTA augument boxes one pixel shifted in de-flip ud and lr #2219

Changes from 1 commit
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
6e81ed5
TTA augument boxes one pixel shifted in de-flip ud and lr
Feb 15, 2021
7f05bc8
PEP8 reformat
glenn-jocher Feb 15, 2021
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
4 changes: 2 additions & 2 deletions models/yolo.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -110,9 +110,9 @@ def forward(self, x, augment=False, profile=False):
# cv2.imwrite(f'img_{si}.jpg', 255 * xi[0].cpu().numpy().transpose((1, 2, 0))[:, :, ::-1]) # save
yi[..., :4] /= si # de-scale
if fi == 2:
yi[..., 1] = img_size[0] - yi[..., 1] # de-flip ud
yi[..., 1] = img_size[0]-1 - yi[..., 1] # de-flip ud
elif fi == 3:
yi[..., 0] = img_size[1] - yi[..., 0] # de-flip lr
yi[..., 0] = img_size[1]-1 - yi[..., 0] # de-flip lr
y.append(yi)
return torch.cat(y, 1), None # augmented inference, train
else:
Expand Down