A wrapper for decent face feature detection and basic face recognition.
For more details please head over to our documentation.
from facelift import FullFaceDetector, iter_stream_frames
from facelift.render import draw_line
from facelift.window import opencv_window
detector = FullFaceDetector()
with opencv_window() as window:
for frame in iter_stream_frames():
for face in detector.iter_faces(frame):
for feature, points in face.landmarks.items():
frame = draw_line(frame, points)
window.render(frame)
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Release files for facelift 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| facelift-0.1.0.tar.gz | 92.7 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| facelift-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 185.8 MB
Release files / facelift-0.1.0.tar.gz
| Download URL | facelift-0.1.0.tar.gz |
|---|---|
| Size | 92.7 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.7.4
|
Release files / facelift-0.1.0-py3-none-any.whl
| Download URL | facelift-0.1.0-py3-none-any.whl |
|---|---|
| Size | 93.2 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.7.4
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