Add some basic information to KITTI-360 docs.

Author: DanielDauner

docs/datasets/kitti-360.rst

@@ -1,77 +1,127 @@
 KITTI-360
 ---------
 
-.. sidebar:: Dataset Name
+.. dropdown:: Quick Links
+  :open:
+
+  .. list-table::
+    :header-rows: 0
+    :widths: 20 60
+
+    * -
+      -
+    * - :octicon:`file` Paper
+      - `KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D <https://arxiv.org/abs/2109.13410>`_
+    * - :octicon:`download` Download
+      - `cvlibs.net/datasets/kitti-360 <https://www.cvlibs.net/datasets/kitti-360/>`_
+    * - :octicon:`mark-github` Code
+      - `github.com/autonomousvision/kitti360scripts <https://github.com/autonomousvision/kitti360scripts>`_
+    * - :octicon:`law` License
+      -
+        - `CC BY-NC-SA 3.0 <https://creativecommons.org/licenses/by-nc-sa/3.0/>`_
+        - MIT License
+    * - :octicon:`database` Available splits
+      - n/a
+
+
+Available Modalities
+~~~~~~~~~~~~~~~~~~~~
 
-  .. image:: https://www.cvlibs.net/datasets/kitti-360/images/example/3d/semantic/02400.jpg
-    :alt: Dataset sample image
-    :width: 290px
+.. list-table::
+   :header-rows: 1
+   :widths: 30 5 70
 
-  | **Paper:** `KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D <https://arxiv.org/pdf/2109.13410>`_
-  | **Download:** `www.cvlibs.net/datasets/kitti-360 <https://www.cvlibs.net/datasets/kitti-360/user_login.php>`_
-  | **Code:** `www.github.com/autonomousvision/kitti360Scripts <https://github.com/autonomousvision/kitti360Scripts>`_
-  | **Documentation:** `kitti-360 Document<https://www.cvlibs.net/datasets/kitti-360/documentation.php>`_
-  | **License:** [License type]
-  | **Duration:** 320k image
-  | **Supported Versions:** [Yes/No/Conditions]
-  | **Redistribution:** [Yes/No/Conditions]
+   * - **Name**
+     - **Available**
+     - **Description**
+   * - Ego Vehicle
+     - ✓ / (✓) / X
+     - ..., see :class:`~py123d.datatypes.vehicle_state.EgoStateSE3`.
+   * - Map
+     - ✓ / (✓) / X
+     - ..., see :class:`~py123d.api.MapAPI`.
+   * - Bounding Boxes
+     - ✓ / (✓) / X
+     - ..., see :class:`~py123d.datatypes.detections.BoxDetectionWrapper`.
+   * - Traffic Lights
+     - ✓ / (✓) / X
+     - ..., see :class:`~py123d.datatypes.detections.TrafficLightDetectionWrapper`.
+   * - Pinhole Cameras
+     - ✓ / (✓) / X
+     - ..., see :class:`~py123d.datatypes.sensors.PinholeCamera`.
+   * - Fisheye Cameras
+     - ✓ / (✓) / X
+     - ..., see :class:`~py123d.datatypes.sensors.FisheyeCamera`.
+   * - LiDARs
+     - ✓ / (✓) / X
+     - ..., see :class:`~py123d.datatypes.sensors.LiDAR`.
 
-Description
-~~~~~~~~~~~
 
-[Provide a detailed description of the dataset here, including its purpose, collection methodology, and key characteristics.]
+Download
+~~~~~~~~
+
+...
+
+The 123D conversion expects the following directory structure:
 
 Installation
 ~~~~~~~~~~~~
 
-[Instructions for installing or accessing the dataset]
+For *Template*, additional installation that are included as optional dependencies in ``py123d`` are required. You can install them via:
 
 .. code-block:: bash
 
-   # Example installation commands
-   pip install py123d[dataset_name]
-   # or
-   wget https://example.com/dataset.zip
+  pip install py123d[template]
 
-Available Data
-~~~~~~~~~~~~~~
+Or if you are installing from source:
 
-.. list-table::
-   :header-rows: 1
-   :widths: 30 5 70
+.. code-block:: bash
+
+  pip install -e .[template]
+
+
+Dataset Specific
+~~~~~~~~~~~~~~~~
+
+.. dropdown:: Box Detection Labels
+
+  .. autoclass:: py123d.conversion.registry.DefaultBoxDetectionLabel
+    :members:
+    :no-inherited-members:
+
+.. dropdown:: LiDAR Index
+
+  .. autoclass:: py123d.conversion.registry.DefaultLiDARIndex
+    :members:
+    :no-inherited-members:
 
 
-   * - **Name**
-     - **Available**
-     - **Description**
-   * - Ego Vehicle
-     - X
-     - [Description of ego vehicle data]
-   * - Map
-     - X
-     - [Description of ego vehicle data]
-   * - Bounding Boxes
-     - X
-     - [Description of ego vehicle data]
-   * - Traffic Lights
-     - X
-     - [Description of ego vehicle data]
-   * - Cameras
-     - X
-     - [Description of ego vehicle data]
-   * - LiDARs
-     - X
-     - [Description of ego vehicle data]
 
-Dataset Specific Issues
-~~~~~~~~~~~~~~~~~~~~~~~
+Dataset Issues
+~~~~~~~~~~~~~~
 
 [Document any known issues, limitations, or considerations when using this dataset]
 
 * Issue 1: Description
 * Issue 2: Description
 * Issue 3: Description
 
+
+Citation
+~~~~~~~~
+
+If you use *Template* in your research, please cite:
+
+.. code-block:: bibtex
+
+  @article{AuthorYearConference,
+    title={Template: Some Dataset for Autonomous Driving},
+    author={},
+    booktitle={},
+    year={}
+  }
+
+
 Citation
 ~~~~~~~~