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Description
This program is built with the idea of building layer by layer elliptical and circular tracker around human and football in picture or image file. this program is built by me and I have also uploaded the program to my github account at links - https://github.com/pritam-code-ai/Pritam_AI_code_in_python_1/blob/master/changed_graphical_tracker/yolo.py and https://github.com/pritam-code-ai/Pritam_AI_code_in_python_1/tree/master/changed_graphical_tracker . It allows the user to build an output image as multi-layered elliptical tracker around lower part of human and circular multi layered tracker around football using opencv python library, yolo-v3 weight file, yolo-v3 configuration file and yolo-v3 label names file. The output image or picture file is like shown in football or soccer video analysis in tv.
Starting Tags
These Tags will be created when the Scenario starts.
They can be used to determine what the Scenario will do initially, by triggering the first Rules. They can also be used to set parameters that influence the behavior of programs or of Elody itself.
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Special treatment of individual developers
Only trust explicitly
If true, only use rules that are explicitly marked as trusted or that belong to explicitly trusted Users.
Developers
Elody normally uses the ratings of Rules to choose whether or not to use them.
You can give special treatment to all Rules of particular developers here, so that their Rules always get used, or always get ignored, regardless of their ratings.
(This allows you to let users test your code, before you get enough positive ratings that Elody starts trusting your code.)
You can also give those developers internet access here, so that the enduser does not have to give permission explicitly every time a program requires internet access.
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Special treatment of individual Rules
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Just like you can give special treatment to all Rules of a developers, you can give special treatment to individual Rules here.
(This is useful for debugging and testing new Rules.)
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