Update version and README.md

README.md

@@ -21,18 +21,20 @@ The dataset is available in a format based on the [nuScenes dataset](https://www
 
 
 ## Changelog
-[202-09-11] Released the View-of-Delft Prediction dataset and development kit.
+[2024-11-20] Launched the VoD-P leaderboard. 
+[2024-11-15] Released a version of the development kit for Python 3.8.
+[2024-09-11] Released the View-of-Delft Prediction dataset and development kit.
 
 ## Devkit setup
 The devkit is tested for Python 3.6 and 3.7.
-To install Python, please check [here](https://github.com/nutonomy/vod-devkit/blob/master/docs/installation.md#install-python).
+To install Python, please check [here](https://github.com/tudelft-iv/vod-devkit/blob/master/docs/installation.md#install-python).
 
 Our devkit is available and can be installed via [pip](https://pip.pypa.io/en/stable/installing/) :
 ```
 pip install vod-devkit
 ```
 
-For an advanced installation, see [installation](docs/installation.md) for detailed instructions.
+For an advanced installation, see [installation](https://github.com/tudelft-iv/vod-devkit/blob/master/docs/installation.md) for detailed instructions.
 
 
 ## VoD-P
@@ -65,10 +67,9 @@ jupyter notebook $HOME/vod-devkit/python-sdk/tutorials/vod_tutorial.ipynb
 
 ### Submitting to the VoD-P leaderboard
 
-We will launch a challenge with a public leaderboard soon.
-
-In the meantime, you can evaluate your prediction model locally on the released test set.
+The VoD-P leaderboard can be found at https://eval.ai/web/challenges/challenge-page/2410/overview.
 
+See the [benchmark instructions](https://github.com/tudelft-iv/view-of-delft-prediction-devkit/blob/main/docs/benchmark_instructions.md) to make a submission to the leaderboard.
 
 ## Known issues
 N/A

setup.py

@@ -5,6 +5,7 @@
 with open("README.md", "r") as fh:
     long_description = fh.read()
 
+
 with open("setup/requirements.txt") as f:
     req_paths = f.read().splitlines()
 requirements = []
@@ -42,7 +43,7 @@ def get_dirlist(_rootdir):
 
 setuptools.setup(
     name="vod-devkit",
-    version="1.0.1",
+    version="1.0.2",
     author="Hidde Boekema",
     author_email="[email protected]",
     description="The official devkit of the View-of-Delft Prediction dataset.",