l5kit
L5Kit - https://woven.toyota
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Download Latest Version (.zip)- dist.yml
- docs.yml
- l5kit-lock.yml
- l5kit-setup.yml
- README.rst
- train_full_turns_metadata.csv
- train_turns_metadata.csv
- validate_turns_metadata.csv
- custom.css
- closed-loop.svg
- drifting.svg
- model.svg
- open-loop.svg
- out_9_closed.gif
- out_9_open.gif
- perturb.svg
- drivergym.png
- policy_rollout.png
- safepathnet_model.svg
- simulation_bump.svg
- simulation_example.svg
- method.png
- model.svg
- av.jpg
- L5logo.png
- L5logo_small.png
- L5logo_small_v2.png
- logo_l5kit_wp.png
- lyft.jpg
- pipeline.png
- smart_car_logo.png
- additional_resources_index.rst
- api_reference.rst
- changelog.rst
- CODE_OF_CONDUCT
- conf.py
- coords_systems.rst
- credits.rst
- data_format.rst
- dataset.rst
- gettingstarted.rst
- how_to_contribute.rst
- index.rst
- installation.rst
- introduction.rst
- LICENSE
- license.rst
- NOTICE
- overview.rst
- planning.rst
- planning_open_loop.rst
- prediction.rst
- prediction_competition.rst
- reinforcement.rst
- safepathnet.rst
- simulation.rst
- tutorials.rst
- urban_driver.rst
- agent_motion_config.yaml
- agent_motion_prediction.ipynb
- drivenet_config.yaml
- drivenet_eval.py
- drivenet_train.py
- closed_loop_test.ipynb
- config.yaml
- open_loop_test.ipynb
- train.ipynb
- gym_environment.ipynb
- ppo_policy_training.ipynb
- gym_config.yaml
- ppo_training.py
- agent_prediction.ipynb
- config.yaml
- config.yaml
- simulation_test.ipynb
- train.ipynb
- closed_loop_test.ipynb
- config.yaml
- train.ipynb
- visualisation_config.yaml
- visualise_data.ipynb
- setup_notebook_colab.sh
- __init__.py
- closed_loop_evaluator.py
- composite_metrics.py
- metric_set.py
- metrics.py
- scene_type_agg.py
- validators.py
- __init__.py
- config.py
- __init__.py
- road_network.proto
- road_network_pb2.py
- __init__.py
- combine.py
- filter.py
- labels.py
- local_data_manager.py
- map_api.py
- zarr_dataset.py
- zarr_utils.py
- __init__.py
- agent.py
- ego.py
- select_agents.py
- utils.py
- __init__.py
- l5_env.py
- __init__.py
- callbacks.py
- feature_extractor.py
- gym_metric_set.py
- kinematic_model.py
- models.py
- reward.py
- utils.py
- __init__.py
- chop_dataset.py
- csv_utils.py
- error_functions.py
- extract_ground_truth.py
- extract_metrics.py
- metrics.py
- __init__.py
- angle.py
- image.py
- transform.py
- voxel.py
- __init__.py
- ackerman_perturbation.py
- ackerman_steering_model.py
- perturbation.py
- __init__.py
- model.py
- multimodal_model.py
- __init__.py
- closed_loop_model.py
- common.py
- global_graph.py
- local_graph.py
- open_loop_model.py
- __init__.py
- utils.py
- __init__.py
- safepathnet.py
- safepathnet_model.py
- transformer.py
- __init__.py
- __init__.py
- random_generator.py
- __init__.py
- box_rasterizer.py
- rasterizer.py
- rasterizer_builder.py
- render_context.py
- sat_box_rasterizer.py
- satellite_image.py
- satellite_rasterizer.py
- sem_box_rasterizer.py
- semantic_rasterizer.py
- stub_rasterizer.py
- __init__.py
- agent_sampling.py
- agent_sampling_vectorized.py
- slicing.py
- __init__.py
- dataset.py
- unroll.py
- utils.py
- .zarray
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- .zattrs
- .zgroup
- aerial_map.png
- config.yaml
- config_safepathnet.yaml
- config_vectorized.yaml
- gym_config.yaml
- meta.json
- semantic_map.pb
- test_artefacts.md
- __init__.py
- test_closed_loop_evaluator.py
- test_composite_metrics.py
- test_metrics.py
- test_validators.py
- __init__.py
- config_test.py
- __init__.py
- combine_test.py
- data_manager_test.py
- filter_test.py
- zarr_dataset_test.py
- zarr_utils_test.py
- __init__.py
- dataset_test.py
- dataset_utils_test.py
- select_agents_test.py
- utils_test.py
- kinematic_model_test.py
- l5_env_test.py
- reward_test.py
- __init__.py
- csv_utils_test.py
- extract_ground_truth_test.py
- extract_metric_test.py
- metrics_test.py
- __init__.py
- angle_test.py
- image_test.py
- transform_test.py
- voxel_test.py
- __init__.py
- ackerman_steering_model_test.py
- perturbation_test.py
- __init__.py
- closed_loop_model_test.py
- common_test.py
- open_loop_model_test.py
- safepathnet_model_test.py
- __init__.py
- random_generator_test.py
- __init__.py
- box_rasterizer_test.py
- rasterizer_e2e_test.py
- render_context_test.py
- satbox_rasterizer_test.py
- satellite_image_test.py
- sem_rasterizer_test.py
- __init__.py
- agent_sampling_test.py
- deep_prediction_test.py
- displace_test.py
- slicing_test.py
- __init__.py
- dataset_test.py
- e2e_test.py
- unroll_test.py
- utils_test.py
- __init__.py
- vectorizer_test.py
- __init__.py
- gif_test.py
- utils_test.py
- video_test.py
- visualizer_test.py
- __init__.py
- conftest.py
- __init__.py
- vectorizer.py
- vectorizer_builder.py
- __init__.py
- common.py
- visualizer.py
- zarr_utils.py
- __init__.py
- gif.py
- utils.py
- video.py
- __init__.py
- .coveragerc
- .flake8
- .mypy.ini
- .pre-commit-config.yaml
- Pipfile
- Pipfile.lock
- pyproject.toml
- run_tests.sh
- setup.py
- categorize_scenes.py
- README.rst
- .gitignore
- README.md
# Installation Guide
1. Get the code
git clone https://github.com/woven-by-toyota/l5kit
Downloads the entire project code from GitHub to your computer.
cd l5kit
Moves into the project folder you just downloaded.
2. Python
Easy RecommendedPrerequisites
pipenv install
Type this command into your terminal and run it.
jupyter notebook
Launches Jupyter in your browser so you can open and run the notebook (.ipynb) files.
If it runs without errors and prints output in the terminal, it worked.
// repository documentation
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