Haar Cascade Creation

Creation of custom Haar Cascade Classifiers

Motivation

This script downloads the data and creates the files needed for the training of your own Haar Cascade Classifiers with OpenCV.

This script is made for Python3 and is based on a tutorial made by @Sentdex.

Please refer to version 1.0.0 for a version without email notification.

The following steps explain how to configure the script before running it:

Clone the repo: git clone https://github.com/IamPhytan/haar-cascade-creation.git
Download the requirements (or create a virtualenv before) : pip3 install -r requirements.txt
In wnids-image-net.txt, choose the WordNet Ids that will be used in your request to ImageNet. Insert them with appropriate keywords in wnids-request.txt.
Create an e-mail address that will be used to send emails notifications through Python
Edit the configuration file with your e-mail info and the email that will send notifications. Informations about SMTP E-mail servers can be found here
Add your requests to the configuration_file. The keywords that are used in the request are those that have been inserted in wnids-request.txt
Run script: python3 main.py

Name		Name	Last commit message	Last commit date
Latest commit History 27 Commits
images_download		images_download
litter		litter
notification		notification
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
config.json		config.json
main.py		main.py
requirements.txt		requirements.txt
wnids-image-net.txt		wnids-image-net.txt
wnids-request.txt		wnids-request.txt