cassdlcm/mediapipe
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Use empty keypoint array for Detection if no keypoints are detected

Browse Source 
PiperOrigin-RevId: 534572162
This commit is contained in:
Sebastian Schmidt 2023-05-23 15:07:06 -07:00 committed by Copybara-Service
parent 1523cc48a1
commit e8ee934bf9
5 changed files with 14 additions and 11 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

13
mediapipe/tasks/web/components/containers/detection_result.d.ts vendored
View File

@ -27,13 +27,14 @@ export declare interface Detection {
boundingBox?: BoundingBox;
/**
* Optional list of keypoints associated with the detection. Keypoints
* represent interesting points related to the detection. For example, the
* keypoints represent the eye, ear and mouth from face detection model. Or
* in the template matching detection, e.g. KNIFT, they can represent the
* feature points for template matching.
* List of keypoints associated with the detection. Keypoints represent
* interesting points related to the detection. For example, the keypoints
* represent the eye, ear and mouth from face detection model. Or in the
* template matching detection, e.g. KNIFT, they can represent the feature
* points for template matching. Contains an empty list if no keypoints are
* detected.
*/
keypoints?: NormalizedKeypoint[];
keypoints: NormalizedKeypoint[];
}
/** Detection results of a model. */

3
mediapipe/tasks/web/components/processors/detection_result.test.ts
View File

@ -85,7 +85,8 @@ describe('convertFromDetectionProto()', () => {
categoryName: '',
displayName: '',
}],
boundingBox: {originX: 0, originY: 0, width: 0, height: 0}
boundingBox: {originX: 0, originY: 0, width: 0, height: 0},
keypoints: []
});
});
});

3
mediapipe/tasks/web/components/processors/detection_result.ts
View File

@ -26,7 +26,7 @@ export function convertFromDetectionProto(source: DetectionProto): Detection {
const labels = source.getLabelList();
const displayNames = source.getDisplayNameList();
const detection: Detection = {categories: []};
const detection: Detection = {categories: [], keypoints: []};
for (let i = 0; i < scores.length; i++) {
detection.categories.push({
score: scores[i],
@ -47,7 +47,6 @@ export function convertFromDetectionProto(source: DetectionProto): Detection {
}
if (source.getLocationData()?.getRelativeKeypointsList().length) {
detection.keypoints = [];
for (const keypoint of
source.getLocationData()!.getRelativeKeypointsList()) {
detection.keypoints.push({

3
mediapipe/tasks/web/vision/face_detector/face_detector_test.ts
View File

@ -191,7 +191,8 @@ describe('FaceDetector', () => {
categoryName: '',
displayName: '',
}],
boundingBox: {originX: 0, originY: 0, width: 0, height: 0}
boundingBox: {originX: 0, originY: 0, width: 0, height: 0},
keypoints: []
});
});
});

3
mediapipe/tasks/web/vision/object_detector/object_detector_test.ts
View File

@ -210,7 +210,8 @@ describe('ObjectDetector', () => {
categoryName: '',
displayName: '',
}],
boundingBox: {originX: 0, originY: 0, width: 0, height: 0}
boundingBox: {originX: 0, originY: 0, width: 0, height: 0},
keypoints: []
});
});
});