Object tracking in video with OpenCV and Deep Learning

lun. 29 octobre à 23:30

Fuseau horaire : Paris (GMT+02:00)

IBM Cloud Garage / Galvanize
New York
États-Unis
New York

Whether you are counting cars on a road or products on a conveyor belt, there are many use cases for computer vision with video. With video as input, you can use automatic labeling to create a better classifier with less manual effort. In this workshop you will learn how to create and use a classifier to identify cars in motion and then track and count the cars as they enter designated regions of interest. The goal of this workshop is for all attendees to leave with their own object detection model. Prerequisites: • No programming experience is required • Please bring your laptop and charger Speaker Bio Nick Bourdakos is a developer advocate at IBM Watson. His expertise is in machine learning, mainly deep learning applied to Computer Vision problems. He started out as an Android developer, but also knows Swift, Python and JavaScript. Nick lives in NYC and enjoys painting in his free time. Twitter:@bourdakos1 Agenda: - 6:30-7pm - Doors Open for Networking & Food

  • 7-830pm - Presentation by Nick

  • 830-9pm - Networking

  • 9pm - Venue closes

Source: https://www.meetup.com/fr-FR/ibmcodenyc/events/254556303/


IBM Cloud Garage / Galvanize
New York
États-Unis

Technologie
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