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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. | 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 [https://github.com/opencv/open_model_zoo/tree/master/demos/object_detection_demo_yolov3_async OpenCV and YOLO]. | |||
=== Input === | |||
[[File:input dog.mp4]] | |||
=== Output === | |||
[[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* [[Tracking Motion Detection]] this page is very much outdated since machine learning has become a thing |