Metadata-Version: 2.1
Name: lyft_dataset_sdk
Version: 0.0.6
Summary: SDK for Lyft dataset.
Home-page: https://github.com/lyft/nuscenes-devkit
Author: Vladimir Iglovikov
License: Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Description: # Lyft Dataset SDK
        
        Welcome to the devkit for the [Lyft Level 5 AV dataset](https://level5.lyft.com/dataset/)! This devkit shall help you to visualise and explore our dataset.
        
        
        ## Release Notes
        This devkit is based on a version of the [nuScenes devkit](https://www.nuscenes.org).
        
        ## Getting Started
        
        ### Installation
        
        You can use pip to install [lyft-dataset-sdk](https://pypi.org/project/lyft-dataset-sdk/):
        ```bash
        pip install -U lyft_dataset_sdk
        ```
        
        If you want to get the latest version of the code before it is released on PyPI you can install the library from GitHub:
        
        ```bash
        pip install -U git+https://github.com/lyft/nuscenes-devkit
        ```
        
        ### Dataset Download
        Go to <https://level5.lyft.com/dataset/> to download the Lyft Level 5 AV Dataset.
        
        
        The dataset is also availible as a part of the [Lyft 3D Object Detection for Autonomous Vehicles Challenge](https://www.kaggle.com/c/3d-object-detection-for-autonomous-vehicles).
        
        ### Tutorial and Reference Model
        Check out the [tutorial and reference model README](notebooks/README.md).
        
        ![](notebooks/media/001.gif)
        
        
        # Dataset structure
        
        The dataset contains of json files:
        
        1. `scene.json` - 25-45 seconds snippet of a car's journey.
        2. `sample.json` - An annotated snapshot of a scene at a particular timestamp.
        3. `sample_data.json` - Data collected from a particular sensor.
        4. `sample_annotation.json` - An annotated instance of an object within our interest.
        5. `instance.json` - Enumeration of all object instance we observed.
        6. `category.json` - Taxonomy of object categories (e.g. vehicle, human).
        7. `attribute.json` - Property of an instance that can change while the category remains the same.
        8. `visibility.json` - (currently not used)
        9. `sensor.json` - A specific sensor type.
        10. `calibrated_sensor.json` - Definition of a particular sensor as calibrated on a particular vehicle.
        11. `ego_pose.json` - Ego vehicle poses at a particular timestamp.
        12. `log.json` - Log information from which the data was extracted.
        13. `map.json` - Map data that is stored as binary semantic masks from a top-down view.
        
        
        With [the schema](schema.md).
        
        # Data Exploration Tutorial
        
        To get started with the Lyft Dataset SDK, run the tutorial using [Jupyter Notebook](notebooks/tutorial_lyft.ipynb).
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
Provides-Extra: test
