This shows how to build a real-time AV explorer from scratch using Dash Deck and the Lyft perception dataset. The code is easily customizable and also compatible with 3D detection models written in Python.
💻 Demo
📰 Article
To get started, first clone this repo:
git clone https://github.com/plotly/dash-sample-apps.git
cd dash-sample-apps/apps/dash-lyft-explorer
Create and activate a conda env:
conda create -n dash-lyft-explorer python=3.7.6
conda activate dash-lyft-explorer
Or a venv (make sure your python3 is 3.6+):
python3 -m venv venv
source venv/bin/activate # for Windows, use venv\Scripts\activate.bat
Install all the requirements:
pip install -r requirements.txt
You can now run the app:
python app.py
and visit http://127.0.0.1:8050/.
Interested in building or deploying apps like this? Reach out or get a demo.
