Fastest Realtime Multiple Faces Detection

Fastest Realtime Multiple Faces Detection using the deep neural networks (dnn) module algorithm in OpenCV.

OpenCV Deep Neural Networks (dnn module)

OpenCV dnn module supports running inference on pre-trained deep learning models from popular frameworks such as TensorFlow, Torch, Darknet and Caffe.

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Imutils

Imutils are a series of convenience functions to make basic image processing functions such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and both Python 2.7 and Python 3

Requirement

• Python 3.7
• OpenCV 4.2.0
• imutils
• numpy==1.15.4

Quick start

• Download official deploy.prototxt and place it under a folder called data/model.
• Download res10_300x300_ssd_iter_140000.caffemodel and place it under a folder called data/weights.

The Project Repository Directory Structure

Firstly create data folder
Then create model folder inside data folder
And create weights folder inside data folder

Dependencies

• opencv
• numpy
imutils

Install dependencies

pip install opencv-python

pip install numpy

pip install imutils

How to use?

1. Clone the repository

git clone https://github.com/muhammadshiraz/Fastest-Realtime-Multiple-Faces-Detection.git

2. Move to the directory

cd Fastest-Realtime-Multiple-Faces-Detection

3. To view the Fastest Realtime Multiple Faces Detection

python face_detection_cap.py

Run by PyCharm IDE: