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Merge pull request #9 from mo-zahran/patch-1

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Updating pedestrians testing command. Thank you @mo-zahran for catching this!
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Boris Ivanovic 2020-04-14 03:27:54 -04:00 committed by GitHub
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@ -125,7 +125,7 @@ If you instead wanted to evaluate a trained model's performance on forecasting p
| Model | Command | | Model | Command |
|-----------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| |-----------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Base | `python evaluate.py --model models/ee_vel --checkpoint=12 --data ../processed/nuScenes_test_full.pkl --output_path results --output_tag vel_ee_ped --node_type PEDESTRIAN --prediction_horizon 6` | | Base | `python evaluate.py --model models/vel_ee --checkpoint=12 --data ../processed/nuScenes_test_full.pkl --output_path results --output_tag vel_ee_ped --node_type PEDESTRIAN --prediction_horizon 6` |
| +Dynamics Integration, Maps | `python evaluate.py --model models/int_ee_me --checkpoint=12 --data ../processed/nuScenes_test_full.pkl --output_path results --output_tag int_ee_me_ped --node_type PEDESTRIAN --prediction_horizon 6` | | +Dynamics Integration, Maps | `python evaluate.py --model models/int_ee_me --checkpoint=12 --data ../processed/nuScenes_test_full.pkl --output_path results --output_tag int_ee_me_ped --node_type PEDESTRIAN --prediction_horizon 6` |
These scripts will produce csv files in the `results` directory which can then be analyzed in the `NuScenes Quantitative.ipynb` notebook. These scripts will produce csv files in the `results` directory which can then be analyzed in the `NuScenes Quantitative.ipynb` notebook.