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detect face

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Sefik Ilkin Serengil 2021-12-23 16:51:57 +03:00 committed by GitHub
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@ -122,9 +122,6 @@ All deepface functions accept an optional detector backend input argument. You c
```python ```python
backends = ['opencv', 'ssd', 'dlib', 'mtcnn', 'retinaface'] backends = ['opencv', 'ssd', 'dlib', 'mtcnn', 'retinaface']
#face detection and alignment
detected_face = DeepFace.detectFace(img_path = "img.jpg", detector_backend = backends[4])
#face verification #face verification
obj = DeepFace.verify(img1_path = "img1.jpg", img2_path = "img2.jpg", detector_backend = backends[4]) obj = DeepFace.verify(img1_path = "img1.jpg", img2_path = "img2.jpg", detector_backend = backends[4])
@ -133,6 +130,9 @@ df = DeepFace.find(img_path = "img.jpg", db_path = "my_db", detector_backend = b
#facial analysis #facial analysis
demography = DeepFace.analyze(img_path = "img4.jpg", detector_backend = backends[4]) demography = DeepFace.analyze(img_path = "img4.jpg", detector_backend = backends[4])
#face detection and alignment
face = DeepFace.detectFace(img_path = "img.jpg", detector_backend = backends[4])
``` ```
Face recognition models are actually CNN models and they expect standard sized inputs. So, resizing is required before representation. To avoid deformation, deepface adds black padding pixels after detection and alignment. Face recognition models are actually CNN models and they expect standard sized inputs. So, resizing is required before representation. To avoid deformation, deepface adds black padding pixels after detection and alignment.