Skip to content

Update demo.py to use CPU if CUDA not available #5

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

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Update demo.py to use CPU if CUDA not available #5

Changes from all commits
Commits
Show all changes
1 commit
Select commit
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
13 changes: 9 additions & 4 deletions demo.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -100,11 +100,15 @@ def run(video_path, face_path, model_weight, jitter, vis, display_off, save_text
# load model weights
model = model_static(model_weight)
model_dict = model.state_dict()
snapshot = torch.load(model_weight)
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
snapshot = torch.load(model_weight, map_location=device)
model_dict.update(snapshot)
model.load_state_dict(model_dict)

model.cuda()
# Move the model to GPU if available
model.to(device)


model.train(False)

# video reading loop
Expand Down Expand Up @@ -148,7 +152,8 @@ def run(video_path, face_path, model_weight, jitter, vis, display_off, save_text
img = torch.cat([img, img_jittered])

# forward pass
output = model(img.cuda())
img = img.to(device) # Ensure the image tensor is on the correct device
output = model(img)
if jitter > 0:
output = torch.mean(output, 0)
score = F.sigmoid(output).item()
Expand Down Expand Up @@ -177,7 +182,7 @@ def run(video_path, face_path, model_weight, jitter, vis, display_off, save_text
if save_text:
f.close()
cap.release()
print 'DONE!'
print('DONE!')


if __name__ == "__main__":
Expand Down