Real-Time Video Analytics with Python & OpenCV: Leah Ellis-Clemons
Data Scientist at World Wide Technology, Leah Ellis-Clemons gives an overview of the specific considerations for implementing machine learning models in Python in real time including OpenCV and Multiprocessing... She gives us a live demonstration of her code as well!
Resources:
https://github.com/LEllisClemons/Lego...
https://www.kaggle.com/code/databeru/...
https://www.kaggle.com/datasets/joost...
/ leah-ellis-clemons-6230aa68
https://www.udemy.com/course/python-f...
#Python #opencv #MachineLearning #Coding #Development
About vBrownBag
SUBSCRIBE! http://bit.ly/vBBYoutube
Socials:
Twitter: / vbrownbag
Facebook: / vbrownbag
iTunes: http://bit.ly/vbrownbagitunes
Google+: google.com/+vBrownBag
https://vBrownBag.com is a community of people who believe in helping other people. Specifically we work in IT infrastructure and we help other people in the IT industry to better their carreers by educating. Most frequent activity is producing the vBrownBag podcast. vBrownBag also attends global conferences to produce TechTalks and theater sessions.
About vBrownBag Podcasts
The vBrownBag crew host podcasts where community members present on topics that will help others in the community. Some podcast series are aimed at helping people achieve certifications.
Other podcasts help community members learn an entirely new subject area. We also cover areas like storage or automation. The podcast has been running weekly since 2010.
vBrownBag TechTalks
The vBrownBag crew love IT conferences, the only place where we actually see each other, the awesome people who are our presenters and the community members who follow the podcast. The conferences are also a great place to generate some more community learning content.
More about vBrownBag:
https://vbrownbag.com/brownbags/what-...
Watch video Real-Time Video Analytics with Python & OpenCV: Leah Ellis-Clemons online without registration, duration hours minute second in high quality. This video was added by user vBrownBag 18 August 2022, don't forget to share it with your friends and acquaintances, it has been viewed on our site 3,079 once and liked it 31 people.