https://github.com/jash271/detect_mask

Python Package to detect mask in input photo or pull out the cam for real time mask detection ,download the module from here :- https://pypi.org/project/detect-mask/
https://github.com/jash271/detect_mask

deep-learning deep-neural-networks fastai pip-package pkl pypi-package python-package python3 transfer-learning windows

Last synced: 7 months ago
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Python Package to detect mask in input photo or pull out the cam for real time mask detection ,download the module from here :- https://pypi.org/project/detect-mask/

• Host: GitHub
• URL: https://github.com/jash271/detect_mask
• Owner: Jash271
• License: mit
• Created: 2020-06-07T18:04:44.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2021-12-16T01:25:36.000Z (almost 4 years ago)
• Last Synced: 2025-03-24T16:11:31.489Z (7 months ago)
• Topics: deep-learning, deep-neural-networks, fastai, pip-package, pkl, pypi-package, python-package, python3, transfer-learning, windows
• Language: Jupyter Notebook
• Homepage:
• Size: 15.2 MB
• Stars: 6
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

Awesome Lists containing this project

README

          
# Detect Mask in input photo :mask:

![Upload Python Package](https://github.com/Jash271/detect_mask/workflows/Upload%20Python%20Package/badge.svg) ![PyPI](https://img.shields.io/pypi/v/Detect_Mask) ![PyPI - Status](https://img.shields.io/pypi/status/detect_mask) ![PyPI - Downloads](https://img.shields.io/pypi/dw/detect_mask) ![PyPI - License](https://img.shields.io/pypi/l/detect_mask)

# Install module for use : https://pypi.org/project/detect-mask/

## Stable Build for all OS

### Fast AI,Open CV required to run this module

### Just Import detect_mask module : 

```

import detect_mask

from detect_mask import Mask

````

### call the method Determine and pass the path of the photo of the variable : 

```

Mask.Determine(path)

```

### Returns a Tuple :

###  (0,'No Mask')

###  (1,'Mask')

### Pull Out the Camera to Detect Mask, Real Time

```

Mask.Cam()

```

### It's that simple