GMU:Procedural Cut/Assignment Object Recognition: Difference between revisions

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Here is the good olde color tracking in the new fancy clothes of "heuristics" https://towardsdatascience.com/real-time-object-detection-without-machine-learning-5139b399ee7d
Here is the good olde color tracking in the new fancy clothes of "heuristics" https://towardsdatascience.com/real-time-object-detection-without-machine-learning-5139b399ee7d
* [https://github.com/cloud-annotations/training cloud annotations]
* [https://github.com/cloud-annotations/training cloud annotations]
* [[Tracking Motion Detection]] this page is very much outdated since machine learning has become a thing

Revision as of 20:52, 24 November 2019

This Assignment is a bit different. There is no precise instruction. Goal is to edit video according to image analysis, or more specifically: Object recognition. For this assignment everyone needs to communicate to coordinate the effort and share ideas how to reach that goal. Edit this page here.


Example

Object detection using OpenCV and YOLO.

Input

Output

File:Log dog.txt


Here is the good olde color tracking in the new fancy clothes of "heuristics" https://towardsdatascience.com/real-time-object-detection-without-machine-learning-5139b399ee7d