Skip to content

Del salient obj det model #340

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

Merged
sovrasov merged 2 commits into from
Jul 31, 2025
Merged

Del salient obj det model #340

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
6103335
Del salient obj det model
sovrasov Jul 30, 2025
97b79a1
Merge branch 'master' into vs/minor_cleanup
sovrasov Jul 31, 2025
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
2 changes: 1 addition & 1 deletion src/python/model_api/models/__init__.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@
ZSLVisualPromptingResult,
)
from .sam_models import SAMDecoder, SAMImageEncoder
from .segmentation import SalientObjectDetectionModel, SegmentationModel
from .segmentation import SegmentationModel
from .ssd import SSD
from .utils import (
OutputTransform,
Expand Down
17 changes: 0 additions & 17 deletions src/python/model_api/models/segmentation.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -235,23 +235,6 @@ def get_contours(
return combined_contours


class SalientObjectDetectionModel(SegmentationModel):
__model__ = "Salient_Object_Detection"

def postprocess(self, outputs: dict, meta: dict) -> cv2.Mat:
input_image_height = meta["original_shape"][0]
input_image_width = meta["original_shape"][1]
result = outputs[self.output_blob_name].squeeze()
result = 1 / (1 + np.exp(-result))
return cv2.resize(
result,
(input_image_width, input_image_height),
0,
0,
interpolation=cv2.INTER_NEAREST,
)


_feature_vector_name = "feature_vector"


Expand Down