OpenCV-and-CNN-classifier-for-human-distress-recognition
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
How to download and setup OpenCV-and-CNN-classifier-for-human-distress-recognition
Open terminal and run command
git clone https://github.com/ZainUlMustafa/OpenCV-and-CNN-classifier-for-human-distress-recognition.git
git clone is used to create a copy or clone of OpenCV-and-CNN-classifier-for-human-distress-recognition repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with OpenCV-and-CNN-classifier-for-human-distress-recognition https://github.com/ZainUlMustafa/OpenCV-and-CNN-classifier-for-human-distress-recognition/archive/master.zip
Or simply clone OpenCV-and-CNN-classifier-for-human-distress-recognition with SSH
[email protected]:ZainUlMustafa/OpenCV-and-CNN-classifier-for-human-distress-recognition.git
If you have some problems with OpenCV-and-CNN-classifier-for-human-distress-recognition
You may open issue on OpenCV-and-CNN-classifier-for-human-distress-recognition support forum (system) here: https://github.com/ZainUlMustafa/OpenCV-and-CNN-classifier-for-human-distress-recognition/issuesSimilar to OpenCV-and-CNN-classifier-for-human-distress-recognition repositories
Here you may see OpenCV-and-CNN-classifier-for-human-distress-recognition alternatives and analogs
pytudes binarytree MagicPython pyinstaller Pillow Python-Markdown-Editor uwsgi-nginx-flask-docker uvloop TextBlob pysheeet borg asyncpg scapy marshmallow discord.py gmusicapi oauthlib hangups kombu ehForwarderBot dulwich asyncio cherrypy gopy aioredis-py mahotas nose2 nsupdate.info kq build-app-with-python-antitextbook