OpenCV-and-CNN-classifier-for-human-distress-recognition

OpenCV-and-CNN-classifier-for-human-distress-recognition

ZainUlMustafa

Character Recognition to recognize the human distress, OpenCV is used to process the image first into a way that it gets easier and less faulty for the classifer to classify 36 total distress characters. It is developed for drone research for IMecheUASChallenge by Sciengit and NUST Airworks in 2018

5 Stars
2 Forks
5 Watchers
Jupyter Notebook Language
Cost to Build
$16.5K
Market Value
$11.2K

Growth over time

2 data points  ·  2021-07-30 → 2021-10-14
Stars Forks Watchers
💬

How do you feel about this project?

Ask AI about OpenCV-and-CNN-classifier-for-human-distress-recognition

Question copied to clipboard

What is the ZainUlMustafa/OpenCV-and-CNN-classifier-for-human-distress-recognition GitHub project? Description: "Character Recognition to recognize the human distress, OpenCV is used to process the image first into a way that it gets easier and less faulty for the classifer to classify 36 total distress characters. It is developed for drone research for IMecheUASChallenge by Sciengit and NUST Airworks in 2018". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone OpenCV-and-CNN-classifier-for-human-distress-recognition

Clone via HTTPS

git clone https://github.com/ZainUlMustafa/OpenCV-and-CNN-classifier-for-human-distress-recognition.git

Clone via SSH

[email protected]:ZainUlMustafa/OpenCV-and-CNN-classifier-for-human-distress-recognition.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the OpenCV-and-CNN-classifier-for-human-distress-recognition issue tracker:

Open GitHub Issues