face-detector

This is a Python script for detecting the faces present in an image. It is just a wrapper over the haar classifier from OpenCV library. The script will detect the faces, crop them up and save them in a folder having name same as the image-name.

Getting Started

These instructions will get you a copy of the project up and running on your local machine.

Prerequisites

These packages must be present in order for the script to work

numpy 1.18.1
opencv-python 4.2.0.34

Installing

Follow the steps below:

Step 1: Clone or download the repository.

git clone https://github.com/vinaysanga/face-detector.git
cd face-detector

Step 2: Install the requirements.txt with pip.

pip install -r requirements.txt

Step 3: Specify the absolute file path of the image(s) as follows:

For single images -

python3 facedetect.py /path/to/the/file

e.g.

python3 facedetect.py /home/vinay/Desktop/TestImgs/Img1.jpg

OR

For all images --

python3 facedetect.py /path/*.jpg

e.g.

python3 facedetect.py /home/vinay/Desktop/TestImgs/*.jpg

Detected faces(cropped) and a marked image(original image with faces marked with rectangle) will be saved in folders named as image name(e.g. Img1) in 'face-detect' folder.

Some extras:

• If the detector is detecting too many false faces then try to increase minNeighbors=3 to minNeighbors=4 or 5 in facedetect.py.
• Alternatively, you can also increase scaleFactor=1.1 upto scaleFactor=1.3 in the facedetect.py file.

License

This project is licensed under the MIT License - see the LICENSE.md file for details