eye-blink-detection-demo-1's Introduction

eye-blink-detection-demo

A very simple demo code for eye blink detection with dlib libray with python, Note this project is basically dependent on the library dlib. The methods used in the demo code is introduced in Paper. This code is based on the blogEye blink detection with OpenCV, Python, and dlib. Here is the Chinese translationOpenCV/Python/dlib眨眼检测.

Environment

win10
python 3.5.4
opencv 3.3.1
imutils 0.4.6
dlib 18.18
Anaconda3

install packages

conda intall dlib
conda install opencv3
pip install imutils

sample

open the terminal

python detect_blinks.py

The default args open the camera and detect the eye blink in the video

python detect_blinks.py -h
optional arguments:
  -h, --help            show this help message and exit
  -p SHAPE_PREDICTOR, --shape-predictor SHAPE_PREDICTOR
                        path to facial landmark predictor
  -v VIDEO, --video VIDEO
                        path to input video file
  -t THRESHOLD, --threshold THRESHOLD
                        threshold to determine closed eyes
  -f FRAMES, --frames FRAMES
                        the number of consecutive frames the eye must be below
                        the threshold

You can see more information about the args, parse a larger threshold means an eye can be more easily considered as closed, vice versa.parse a larger frames means only if the closed eyes last for more frames, can it be considered as a closed eye.You can aslo parse a video file by parsing video args. the shape-predictor args indicate the trained model path which is provided in the demo

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