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)
Metadata
Release files for facelift 0.2.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| facelift-0.2.1.tar.gz | 32.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| facelift-0.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 72.2 kB
Release files / facelift-0.2.1.tar.gz
| Download URL | facelift-0.2.1.tar.gz |
|---|---|
| Size | 32.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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poetry/1.0.10 CPython/3.7.4 Darwin/18.7.0
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Release files / facelift-0.2.1-py3-none-any.whl
| Download URL | facelift-0.2.1-py3-none-any.whl |
|---|---|
| Size | 40.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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poetry/1.0.10 CPython/3.7.4 Darwin/18.7.0
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Security for facelift 0.2.1
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