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Overwatch license key.txt5/23/2023 Copy your video files to the input folder.Update the arguments of the display_dashboard function in main.py.Copy the owl_results/*_pov.json files to the data folder.To visualize graphs for the OWL matches I used to compute the stats in my P圜on talk: Usage ⚒ Quickstart with existing OWL results data (P圜on 2020) data: Where we will store JSON files containing player names extracted from each frame, and also the reference teams file. output: Where the algorithm will split the frames and crop them.input: Where you'll put your video files.It's easier now that the OWL is on YT Gaming, otherwise here's the full USA vs China OWWC match, now go have fun trimming it Ī JSON reference file mapping player names, team names and shorthand names, look at static/owwc_teams.json for an example.Ĭreate the following folders at the workspace root (siblings of src): python -m pip install -r requirements.txt Manual work to be done (sorry) ✍️Ī list of video files for the games you want to parse, preferably without the breaks between maps.
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