github/deepface
1
1
Fork 0
mirror of https://github.com/serengil/deepface.git synced 2025-06-09 12:57:08 +00:00
Code Issues Packages Projects Releases Wiki Activity

desc for detectors

Browse Source
This commit is contained in:
Şefik Serangil 2020-09-07 08:42:44 +03:00
parent 05f60e8784
commit 99fad576fa
2 changed files with 15 additions and 11 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

15
README.md
View File

@ -100,14 +100,21 @@ print("Race: ", demography["dominant_race"])
**Face Detectors** - [`Demo`](https://youtu.be/GZ2p2hj2H5k)
Face detection and face alignment are early stages of a modern face recognition pipeline. [OpenCV](https://sefiks.com/2020/02/23/face-alignment-for-face-recognition-in-python-within-opencv/), [SSD](https://sefiks.com/2020/08/25/deep-face-detection-with-opencv-in-python/), [Dlib](https://sefiks.com/2020/07/11/face-recognition-with-dlib-in-python/) and MTCNN methods are wrapped in deepface as a detector. You can pass a custom detector to functions in deepface interface. OpenCV is the default detector for the package.
Face detection and alignment are early stages of a modern face recognition pipeline. [OpenCV haar cascade](https://sefiks.com/2020/02/23/face-alignment-for-face-recognition-in-python-within-opencv/), [SSD](https://sefiks.com/2020/08/25/deep-face-detection-with-opencv-in-python/), [Dlib](https://sefiks.com/2020/07/11/face-recognition-with-dlib-in-python/) and MTCNN methods are wrapped in deepface as a detector. You can optionally pass a custom detector to functions in deepface interface. OpenCV is the default detector if you won't pass a detector.
```python
backends = ['opencv', 'ssd', 'dlib', 'mtcnn']
for backend in backends:
detected_face = DeepFace.detectFace("img.jpg", detector_backend = backend) #detectors in face detection and alignment
obj = DeepFace.verify("img1.jpg", "img2.jpg", detector_backend = backend) #detectors in verification
df = DeepFace.find(img_path = "img.jpg", db_path = "my_db", detector_backend = backend) #detectors in face recognition
#face detection and alignment
detected_face = DeepFace.detectFace("img.jpg", detector_backend = backend)
#face verification
obj = DeepFace.verify("img1.jpg", "img2.jpg", detector_backend = backend)
#face recognition
df = DeepFace.find(img_path = "img.jpg", db_path = "my_db", detector_backend = backend)
#facial analysis
demography = DeepFace.analyze("img4.jpg", detector_backend = backend) #detectors in facial analysis
```

11
deepface/commons/functions.py
View File

@ -126,13 +126,6 @@ def load_image(img):
def detect_face(img, detector_backend = 'opencv', grayscale = False, enforce_detection = True):
detectors = ['opencv', 'ssd', 'dlib', 'mtcnn']
if detector_backend not in detectors:
raise ValueError("Valid backends are ", detectors," but you passed ", detector_backend)
#---------------------------
home = str(Path.home())
if detector_backend == 'opencv':
@ -302,6 +295,10 @@ def detect_face(img, detector_backend = 'opencv', grayscale = False, enforce_det
else:
raise ValueError("Face could not be detected. Please confirm that the picture is a face photo or consider to set enforce_detection param to False.")
else:
detectors = ['opencv', 'ssd', 'dlib', 'mtcnn']
raise ValueError("Valid backends are ", detectors," but you passed ", detector_backend)
return 0
def alignment_procedure(img, left_eye, right_eye):