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GMU:Procedural Cut/Assignment Object Recognition (view source)
Revision as of 22:59, 1 December 2019
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== Example == | == Example == | ||
Object detection using [https://github.com/opencv/open_model_zoo/tree/master/demos/object_detection_demo_yolov3_async OpenCV and YOLO]. | |||
Object detection using [https://github.com/opencv/open_model_zoo/tree/master/demos/object_detection_demo_yolov3_async OpenCV and | |||
=== Input === | === Input === | ||
[[File: | [[File:input dog.mp4]] | ||
=== Output === | === Output === | ||
[[File: | [[File:output dog.mp4]] | ||
[[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 | |||
* [https://github.com/cloud-annotations/training cloud annotations] | |||
* [[Tracking Motion Detection]] this page is very much outdated since machine learning has become a thing | |||