Spaces:
Sleeping
Sleeping
Upload app.py
Browse files
app.py
CHANGED
|
@@ -45,6 +45,9 @@ def verify(img1, img2, model_name, backend, metric):
|
|
| 45 |
img1p = cv2.imread(temp_img1_path)
|
| 46 |
img2p = cv2.imread(temp_img2_path)
|
| 47 |
|
|
|
|
|
|
|
|
|
|
| 48 |
face_detect = mediapipe.solutions.face_detection
|
| 49 |
face_detector = face_detect.FaceDetection(min_detection_confidence=0.6)
|
| 50 |
|
|
@@ -53,7 +56,7 @@ def verify(img1, img2, model_name, backend, metric):
|
|
| 53 |
|
| 54 |
result1 = face_detector.process(img1p)
|
| 55 |
result2 = face_detector.process(img2p)
|
| 56 |
-
if
|
| 57 |
for face in result1.detections:
|
| 58 |
if face.score[0] > 0.80:
|
| 59 |
bounding_box = face.location_data.relative_bounding_box
|
|
|
|
| 45 |
img1p = cv2.imread(temp_img1_path)
|
| 46 |
img2p = cv2.imread(temp_img2_path)
|
| 47 |
|
| 48 |
+
img1p = cv2.cvtColor(img1p, cv2.COLOR_BGR2RGB)
|
| 49 |
+
img2p = cv2.cvtColor(img2p, cv2.COLOR_BGR2RGB)
|
| 50 |
+
|
| 51 |
face_detect = mediapipe.solutions.face_detection
|
| 52 |
face_detector = face_detect.FaceDetection(min_detection_confidence=0.6)
|
| 53 |
|
|
|
|
| 56 |
|
| 57 |
result1 = face_detector.process(img1p)
|
| 58 |
result2 = face_detector.process(img2p)
|
| 59 |
+
if result1.detections is not None:
|
| 60 |
for face in result1.detections:
|
| 61 |
if face.score[0] > 0.80:
|
| 62 |
bounding_box = face.location_data.relative_bounding_box
|