Project Description
Face Mask Recognition using PyTorch.
It creates a bounding box around the face of the person present in the image and put a text
at the top of the bounding box shows probability of mask on the face.
Install:
pip install mask_recognition
Requirements:
pytorch >= 1.2.0
torchvision >= 0.3.0
Usage:
from mask_recognition import MaskRecognition
import cv2 as cv
mr = MaskRecognition(device=0) # -1 for cpu, 0 for gpu
frame = mr.recognize(frame, color="rgb") # color="bgr" for BGR color scheme. frame is the RGB image.
########################## To use webcam ##########################
mr.cam_capture(device_id=0) # 0 for default or 1, 2, 3, if more than one webcam
## press esc to stop
Release files for mask-recognition 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mask_recognition-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Release files / mask_recognition-0.0.1-py3-none-any.whl
| Download URL | mask_recognition-0.0.1-py3-none-any.whl |
|---|---|
| Size | 27.7 MB |
| Tags | Python 3 |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.2.0.post20200511 requests-toolbelt/0.9.1 tqdm/4.44.1 CPython/3.7.6
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