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

Return anomaly maps in range 0-255 #146

Merged
merged 4 commits into from
Dec 13, 2023
Merged

Return anomaly maps in range 0-255 #146

Show file tree
Hide file tree
Changes from 1 commit
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
7c1c62d
return anomaly maps in range 0-255
Dec 12, 2023
0012783
Remove printing precision
Dec 13, 2023
9190fd5
Remove printing precision in c++
Dec 13, 2023
776a2b9
Fix precision difference between python and c++
Dec 13, 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
1 change: 1 addition & 0 deletions model_api/cpp/models/src/anomaly_model.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -81,6 +81,7 @@ std::unique_ptr<ResultBase> AnomalyModel::postprocess(InferenceResult& infResult
pred_mask.convertTo(pred_mask, CV_8UC1, 1 / 255.);
cv::resize(pred_mask, pred_mask, cv::Size{inputImgSize.inputImgWidth, inputImgSize.inputImgHeight});
anomaly_map = normalize(anomaly_map, pixelThreshold);
anomaly_map.convertTo(anomaly_map, CV_8UC1, 255);

pred_score = normalize(pred_score, imageThreshold);
if (!anomaly_map.empty()) {
Expand Down
2 changes: 2 additions & 0 deletions model_api/python/openvino/model_api/models/anomaly.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -70,6 +70,8 @@ def postprocess(self, outputs: dict[str, np.ndarray], meta: dict[str, Any]):
assert anomaly_map is not None
pred_mask = (anomaly_map >= self.pixel_threshold).astype(np.uint8)
anomaly_map = self._normalize(anomaly_map, self.pixel_threshold)
anomaly_map *= 255
anomaly_map = anomaly_map.astype(np.uint8)
pred_mask = cv2.resize(
pred_mask, (meta["original_shape"][1], meta["original_shape"][0])
)
Expand Down
4 changes: 2 additions & 2 deletions tests/python/accuracy/public_scope.json
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -367,7 +367,7 @@
{
"image": "coco128/images/train2017/000000000074.jpg",
"reference": [
"anomaly_map min:0.594 max:1.0;pred_score:1.0;pred_label:Anomaly;pred_mask min:1 max:1;"
"anomaly_map min:151 max:255;pred_score:1.0;pred_label:Anomaly;pred_mask min:1 max:1;"
]
}
]
Expand All @@ -379,7 +379,7 @@
{
"image": "coco128/images/train2017/000000000074.jpg",
"reference": [
"anomaly_map min:0.495 max:1.0;pred_score:1.0;pred_label:Anomaly;pred_mask min:0 max:1;"
"anomaly_map min:126 max:255;pred_score:1.0;pred_label:Anomaly;pred_mask min:0 max:1;"
]
}
]
Expand Down
Loading