Skip to content

Correctly transfer tensors to device for transformers_api #22

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

Correctly transfer tensors to device for transformers_api #22

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
7 changes: 5 additions & 2 deletions tracklab/wrappers/bbox_detector/transformers_api.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,10 @@ def preprocess(self, image, detections: pd.DataFrame, metadata: pd.Series) -> An

@torch.no_grad()
def process(self, batch: Any, detections: pd.DataFrame, metadatas: pd.DataFrame):
images = self.image_processor(batch, return_tensors="pt")
images = self.image_processor(batch, return_tensors="pt") # TODO: this should happen in the preprocess step
for key in images.keys():
images[key] = images[key].to(self.device)

outputs = self.model(**images)
results = self.image_processor.post_process_object_detection(
outputs, target_sizes=[batch.shape[1:3]]*batch.shape[0], threshold=self.min_confidence
Expand All @@ -42,7 +45,7 @@ def process(self, batch: Any, detections: pd.DataFrame, metadatas: pd.DataFrame)
pd.Series(
dict(
image_id=metadatas["id"].values[i],
bbox_ltwh=ltrb_to_ltwh(box.numpy(), (batch.shape[2], batch.shape[1])),
bbox_ltwh=ltrb_to_ltwh(box.cpu().numpy(), (batch.shape[2], batch.shape[1])),
bbox_conf=score.item(),
video_id=metadatas["video_id"].values[i],
category_id=1,
Expand Down