cvlib

A high level, easy to use, open source Computer Vision library for Python.

This project is maintained by arunponnusamy

cvlib

A high level easy-to-use open source Computer Vision library for Python.

It was developed with a focus on enabling easy and fast experimentation. Being able to go from an idea to prototype with least amount of delay is key to doing good research.

Guiding principles of cvlib are heavily inspired from Keras (deep learning library).

Installation

Provided the below python packages are installed, cvlib is completely pip installable.

pip install numpy opencv-python requests progressbar

pip install cvlib

Face detection

Detecting faces in an image is as simple as just calling the function detect_face(). It will return the bounding box corners and corresponding confidence for all the faces detected.

Example :

import cvlib as cv
faces, confidences = cv.detect_face(image) 

Seriously, that’s all it takes to do face detection with cvlib. Underneath it is using OpenCV’s dnn module with a pre-trained caffemodel to detect faces.

Checkout the github repo to learn more.

Object detection

Detecting common objects in the scene is enabled through a single function call detect_common_objects(). It will return the bounding box co-ordinates, corrensponding labels and confidence scores for the detected objects in the image.

Example :

import cvlib as cv
from cvlib.object_detection import draw_bbox

bbox, label, conf = cv.detect_common_objects(img)

output_image = draw_bbox(img, bbox, label, conf)

Underneath it uses YOLOv3 model trained on COCO dataset capable of detecting 80 common objects in context.

Checkout the github repo to learn more.

Issues

Feel free to create a new issue on github if you are facing any difficulty.

License

cvlib is released under MIT License.

Contact

Feel free to drop an email or reach out on Twitter.