├── Baseline.pdf ├── README.md └── SamplePrediction ├── Predictions.ndjson └── Test.ndjson /Baseline.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/vita-epfl/trajnetplusplusdata/037c229846ec9d6291285aebaa0bf6f6f33f1088/Baseline.pdf -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # trajnetplusplusdata 2 | Data for TrajNet++ Challenge 3 | 4 | Data is provided in the [releases](https://github.com/vita-epfl/trajnetplusplusdata/releases) 5 | -------------------------------------------------------------------------------- /SamplePrediction/Predictions.ndjson: -------------------------------------------------------------------------------- 1 | {"scene": {"id": 0, "p": 3, "s": 240, "e": 440, "fps": 2.5, "tag": 0}} 2 | {"track": {"f": 330, "p": 3, "x": 0.79, "y": 3.41, "prediction_number": 0, "scene_id": 0}} 3 | {"track": {"f": 340, "p": 3, "x": 0.29, "y": 3.62, "prediction_number": 0, "scene_id": 0}} 4 | {"track": {"f": 350, "p": 3, "x": -0.21, "y": 3.83, "prediction_number": 0, "scene_id": 0}} 5 | {"track": {"f": 360, "p": 3, "x": -0.69, "y": 4.04, "prediction_number": 0, "scene_id": 0}} 6 | {"track": {"f": 370, "p": 3, "x": -1.17, "y": 4.24, "prediction_number": 0, "scene_id": 0}} 7 | {"track": {"f": 380, "p": 3, "x": -1.63, "y": 4.43, "prediction_number": 0, "scene_id": 0}} 8 | {"track": {"f": 390, "p": 3, "x": -2.08, "y": 4.63, "prediction_number": 0, "scene_id": 0}} 9 | {"track": {"f": 400, "p": 3, "x": -2.53, "y": 4.81, "prediction_number": 0, "scene_id": 0}} 10 | {"track": {"f": 410, "p": 3, "x": -2.96, "y": 4.99, "prediction_number": 0, "scene_id": 0}} 11 | {"track": {"f": 420, "p": 3, "x": -3.38, "y": 5.17, "prediction_number": 0, "scene_id": 0}} 12 | {"track": {"f": 430, "p": 3, "x": -3.8, "y": 5.34, "prediction_number": 0, "scene_id": 0}} 13 | {"track": {"f": 440, "p": 3, "x": -4.21, "y": 5.51, "prediction_number": 0, "scene_id": 0}} 14 | {"track": {"f": 330, "p": 4, "x": 0.88, "y": 2.59, "prediction_number": 0, "scene_id": 0}} 15 | {"track": {"f": 340, "p": 4, "x": 0.32, "y": 2.75, "prediction_number": 0, "scene_id": 0}} 16 | {"track": {"f": 350, "p": 4, "x": -0.23, "y": 2.92, "prediction_number": 0, "scene_id": 0}} 17 | {"track": {"f": 360, "p": 4, "x": -0.77, "y": 3.08, "prediction_number": 0, "scene_id": 0}} 18 | {"track": {"f": 370, "p": 4, "x": -1.29, "y": 3.24, "prediction_number": 0, "scene_id": 0}} 19 | {"track": {"f": 380, "p": 4, "x": -1.8, "y": 3.39, "prediction_number": 0, "scene_id": 0}} 20 | {"track": {"f": 390, "p": 4, "x": -2.3, "y": 3.54, "prediction_number": 0, "scene_id": 0}} 21 | {"track": {"f": 400, "p": 4, "x": -2.79, "y": 3.69, "prediction_number": 0, "scene_id": 0}} 22 | {"track": {"f": 410, "p": 4, "x": -3.27, "y": 3.83, "prediction_number": 0, "scene_id": 0}} 23 | {"track": {"f": 420, "p": 4, "x": -3.75, "y": 3.97, "prediction_number": 0, "scene_id": 0}} 24 | {"track": {"f": 430, "p": 4, "x": -4.21, "y": 4.11, "prediction_number": 0, "scene_id": 0}} 25 | {"track": {"f": 440, "p": 4, "x": -4.66, "y": 4.25, "prediction_number": 0, "scene_id": 0}} 26 | {"track": {"f": 330, "p": 3, "x": 0.81, "y": 3.4, "prediction_number": 1, "scene_id": 0}} 27 | {"track": {"f": 340, "p": 3, "x": 0.35, "y": 3.59, "prediction_number": 1, "scene_id": 0}} 28 | {"track": {"f": 350, "p": 3, "x": -0.11, "y": 3.78, "prediction_number": 1, "scene_id": 0}} 29 | {"track": {"f": 360, "p": 3, "x": -0.56, "y": 3.96, "prediction_number": 1, "scene_id": 0}} 30 | {"track": {"f": 370, "p": 3, "x": -1.0, "y": 4.13, "prediction_number": 1, "scene_id": 0}} 31 | {"track": {"f": 380, "p": 3, "x": -1.43, "y": 4.3, "prediction_number": 1, "scene_id": 0}} 32 | {"track": {"f": 390, "p": 3, "x": -1.85, "y": 4.46, "prediction_number": 1, "scene_id": 0}} 33 | {"track": {"f": 400, "p": 3, "x": -2.27, "y": 4.62, "prediction_number": 1, "scene_id": 0}} 34 | {"track": {"f": 410, "p": 3, "x": -2.67, "y": 4.77, "prediction_number": 1, "scene_id": 0}} 35 | {"track": {"f": 420, "p": 3, "x": -3.07, "y": 4.92, "prediction_number": 1, "scene_id": 0}} 36 | {"track": {"f": 430, "p": 3, "x": -3.46, "y": 5.06, "prediction_number": 1, "scene_id": 0}} 37 | {"track": {"f": 440, "p": 3, "x": -3.84, "y": 5.21, "prediction_number": 1, "scene_id": 0}} 38 | {"track": {"f": 330, "p": 4, "x": 0.9, "y": 2.59, "prediction_number": 1, "scene_id": 0}} 39 | {"track": {"f": 340, "p": 4, "x": 0.37, "y": 2.76, "prediction_number": 1, "scene_id": 0}} 40 | {"track": {"f": 350, "p": 4, "x": -0.16, "y": 2.92, "prediction_number": 1, "scene_id": 0}} 41 | {"track": {"f": 360, "p": 4, "x": -0.67, "y": 3.07, "prediction_number": 1, "scene_id": 0}} 42 | {"track": {"f": 370, "p": 4, "x": -1.17, "y": 3.21, "prediction_number": 1, "scene_id": 0}} 43 | {"track": {"f": 380, "p": 4, "x": -1.67, "y": 3.35, "prediction_number": 1, "scene_id": 0}} 44 | {"track": {"f": 390, "p": 4, "x": -2.15, "y": 3.49, "prediction_number": 1, "scene_id": 0}} 45 | {"track": {"f": 400, "p": 4, "x": -2.63, "y": 3.61, "prediction_number": 1, "scene_id": 0}} 46 | {"track": {"f": 410, "p": 4, "x": -3.09, "y": 3.74, "prediction_number": 1, "scene_id": 0}} 47 | {"track": {"f": 420, "p": 4, "x": -3.55, "y": 3.86, "prediction_number": 1, "scene_id": 0}} 48 | {"track": {"f": 430, "p": 4, "x": -4.0, "y": 3.98, "prediction_number": 1, "scene_id": 0}} 49 | {"track": {"f": 440, "p": 4, "x": -4.44, "y": 4.09, "prediction_number": 1, "scene_id": 0}} -------------------------------------------------------------------------------- /SamplePrediction/Test.ndjson: -------------------------------------------------------------------------------- 1 | {"scene": {"id": 0, "p": 3, "s": 240, "e": 440, "fps": 2.5, "tag": 0}} 2 | {"track": {"f": 240, "p": 3, "x": 5.59, "y": 1.98}} 3 | {"track": {"f": 250, "p": 3, "x": 5.05, "y": 2.04}} 4 | {"track": {"f": 260, "p": 3, "x": 4.48, "y": 2.13}} 5 | {"track": {"f": 270, "p": 3, "x": 3.92, "y": 2.26}} 6 | {"track": {"f": 280, "p": 3, "x": 3.35, "y": 2.41}} 7 | {"track": {"f": 290, "p": 3, "x": 2.81, "y": 2.59}} 8 | {"track": {"f": 300, "p": 3, "x": 2.29, "y": 2.79}} 9 | {"track": {"f": 310, "p": 3, "x": 1.78, "y": 3.0}} 10 | {"track": {"f": 320, "p": 3, "x": 1.29, "y": 3.2}} 11 | {"track": {"f": 240, "p": 4, "x": 5.91, "y": 1.47}} 12 | {"track": {"f": 250, "p": 4, "x": 5.37, "y": 1.44}} 13 | {"track": {"f": 260, "p": 4, "x": 4.82, "y": 1.5}} 14 | {"track": {"f": 270, "p": 4, "x": 4.26, "y": 1.63}} 15 | {"track": {"f": 280, "p": 4, "x": 3.7, "y": 1.8}} 16 | {"track": {"f": 290, "p": 4, "x": 3.13, "y": 1.98}} 17 | {"track": {"f": 300, "p": 4, "x": 2.55, "y": 2.13}} 18 | {"track": {"f": 310, "p": 4, "x": 1.98, "y": 2.28}} 19 | {"track": {"f": 320, "p": 4, "x": 1.43, "y": 2.43}} --------------------------------------------------------------------------------