Скачать или смотреть A Python Haar Facial Detector to Create HTML Image-Map

A Python 3.6.9 script uses a Haar frontal facial detector to create an HTML image-map.

(Sung to the tune of "How Much is that Doggie in the Window")
Who is that person in the picture?
The one with the light brown hair.
Who is that person in the picture?
I do hope that someone would share.

Introduction
Often times when a group gets together, for whatever reason, there will be a group picture at the end to commemorate the good times had by all. If this "sea of faces" gets published, in hard or soft copy, there may be a one or two line caption giving the name of the group and perhaps where and when the image was created. Six months or a year later, the image has only marginal value to the people who were there, and almost no value to those who were not there, because it is just a sea of faces.

We are interested in finding a low cost (very little human time) method of providing a way to add value to the soft copy of the image, so the image will have greater value later. We have developed a Python script that uses a Haar facial detection cascade to create a clickable HTML image map. The image map can be incorporated into other HTML pages to support a dynamic and valuable web experience.



The Python code and the frontal face XML files are needed to replicate the actions described in this video.

The Python code:
https://gist.github.com/ChuckCartledg...

Haar frontal face XML file is here:
https://github.com/opencv/opencv/blob...


Other Haar XML files:
https://github.com/opencv/opencv/tree...

The face detection example from the video:
https://www.cs.odu.edu/~ccartled/Faci...

A web page with three face detected images:
https://www.cs.odu.edu/~ccartled/Faci...

A complete write-up about the program:
http://www.clc-ent.com/TBDE/Docs/face...

A short write-up about the program:
https://ws-dl.blogspot.com/2020/06/20...