https://github.com/dedidot/face-recognition-with-python-opencv
Face detection with opencv-python and face-recognition.
https://github.com/dedidot/face-recognition-with-python-opencv
face-detection face-recognition opencv-python
Last synced: over 1 year ago
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Face detection with opencv-python and face-recognition.
- Host: GitHub
- URL: https://github.com/dedidot/face-recognition-with-python-opencv
- Owner: dedidot
- Created: 2020-06-26T08:53:48.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2020-06-26T09:16:07.000Z (almost 6 years ago)
- Last Synced: 2025-01-14T11:28:54.819Z (over 1 year ago)
- Topics: face-detection, face-recognition, opencv-python
- Language: Python
- Homepage:
- Size: 11.8 MB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Documentation
This is a way to check pictures of people with face_recognition.
**Quict Start**
1. Clone repo, `git clone https://github.com/dedidot/face-recognition-with-python-opencv.git`
2. install `requirements.txt` using `pip install -r requirements.txt`
3. Run `python index.py`
**Explanation**
Load known faces folder:
```
for name in os.listdir(KNOWN_FACES_DIR):
if name == '.DS_Store':
continue
for filename in os.listdir(f"{KNOWN_FACES_DIR}/{name}"):
image = face_recognition.load_image_file(f'{KNOWN_FACES_DIR}/{name}/{filename}')
encoding = face_recognition.face_encodings(image)[0]
known_faces.append(encoding)
known_names.append(name)
```
Load unknown faces and compare with known faces:
```
for filename in os.listdir(UNKNOWN_FACES_DIR):
print(f'Filename {filename}', end='')
image = face_recognition.load_image_file(f'{UNKNOWN_FACES_DIR}/{filename}')
locations = face_recognition.face_locations(image, model=MODEL)
encodings = face_recognition.face_encodings(image, locations)
image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
print(f' found {len(encodings)} face(s) ')
for face_encoding, face_location in zip(encodings, locations):
results = face_recognition.compare_faces(known_faces, face_encoding, TOLERANCE)
match = None
if True in results:
match = known_names[results.index(True)]
print(f' - {match} from {results} ')
top_left = (face_location[3], face_location[0])
bottom_right = (face_location[1], face_location[2])
color = name_to_color(match)
cv2.rectangle(image, top_left, bottom_right, color, FRAME_THICKNESS)
top_left = (face_location[3], face_location[2])
bottom_right = (face_location[1], face_location[2] + 22)
cv2.rectangle(image, top_left, bottom_right, color, cv2.FILLED)
cv2.putText(image, match, (face_location[3] + 10, face_location[2] + 15), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (200, 200, 200), FONT_THICKNESS)
```
**Show result:**
cv2.imshow(filename, image)
cv2.waitKey(10000)
cv2.destroyWindow(filename)
Inspired by: sentdex (Harrison)