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Both trained on game renders. | | [flow](flow/) | [pixel](pixel/) | |---|---|---| | Input | Optical flow (RAFT-small) | Raw frames | | Parameters | 1,795,337 trained, plus 990,162 in frozen RAFT-small (2,785,499 in total) | 9,836,063 | | Output | One prediction per 17-frame window | One prediction per frame | | Real-video turn accuracy | 91.5 | 51.1 | | Gaming footage turn accuracy | 84.9 | 70.9 | | Dependencies | torch, torchvision, av, opencv, safetensors | torch, av, opencv, safetensors | Repository contents: ```text Reka-Inverse-Dynamics-Model/ README.md LICENSE NOTICE requirements.txt results.json flow/ model.safetensors config.json config_walking.json inference.py README.md pixel/ model.safetensors config.json inference.py README.md assets/ demo and example prediction videos examples/ 10 s sample clip and expected_flow_output.json tests/ test_smoke.py ``` Demo The flow model on a walking tour of Bristol, with frame gap 12. Blue bars show the five keys. 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