🎊What's new 🎊

Added,

• Face mask detection
• sketch effect A-kriti
• mosiac effect Sudip Ghosh
• ghost image iaditichine

About

A unified library for FaceX to run all the FaceX algorithms using only one line of code.

Example

Running cartoonify using FaceX library

from facex import FaceX 
import cv2

img = FaceX.cartoonify('your-img.jpg', method='opencv')
cv2.imshow(img)
cv2.waitkey()

Similarly we can run,

FaceX.face_detect('your-img.jpg', method='opencv') #Face detection
FaceX.face_mask('your-img.jpg', method='opencv')   #Face mask detection

And many more....

How to use

You can simply run the demo.py file to visualize some examples. Also check the below steps to run your own code,

1. Clone this repo.

2. cd facex-library from the command line.

3. open your favourite text editor and place it inside facex-library folder.

4. Run the commands of example section.

Current supported algorithms

OpenCV

1. face_detection method : facex.face_detect(img_path='your-img.jpg', methods='opencv')

2. cartoonify method : facex.cartoonify(img_path='your-img.jpg', methods='opencv')

3. blur background method : facex.blur_bg(img_path='your-img.jpg', methods='opencv')

4. Ghost image method : facex.ghost_img(img_path='your-img.jpg', methods='opencv')

5. mosaic method : facex.mosaic(img_path='your-img.jpg', x=219, y=61, w=460-219, h=412-61) Where, (x,y,w,h) are co-ordinates to apply mosaic effect on the image.

6. Sketch method : facex.sketch(img_path='your-img.jpg', methods='opencv')

Deep Learning

1. Face Mask Detection

method :

facex.face_mask(image='your-img.jpg') (for image)
facex.face_mask(image='your-img.jpg') (for video)

More deep learning algorithms shall be added soon! (Stay put)

Pending Tasks

1. Release facex library V1.0
2. Refine the environment for easy access to the algorithms.
3. Make a facex pip package.
4. Make a clear documentation.
5. Make clear documentation for the contributors to link the algorithms with the package.
6. Add more algorithms.

Contributions are welcome

Feel free to suggest any changes or fixes for the benefit of the package here.