Self-driving Model Using LiDAR

This repository contains the project by Gongyi Shi and Anny Dai, under supervision of Prof. Raquel Urtasun.

Getting started

curl 'https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh' > Miniconda.sh
bash Miniconda.sh
rm Miniconda.sh

Create a new conda environment:
```
conda env create --file environment.yml
```
Activate environment:
```
conda activate csc490
```
Download PandaSet. After submitting your request to download the dataset, you will receive an email from Scale AI with instructions to download PandaSet in three parts. Download Part 1 only. After you have downloaded pandaset_0.zip, unzip the dataset as follows:
```
unzip pandaset_0.zip -d <your_path_to_dataset>
```

Name		Name	Last commit message	Last commit date
Latest commit History 64 Commits
.trunk		.trunk
.vscode		.vscode
detection		detection
outputs/overfit		outputs/overfit
prediction		prediction
reports		reports
tracking		tracking
.flake8		.flake8
.gitattributes		.gitattributes
.gitignore		.gitignore
.isort.cfg		.isort.cfg
.markdownlint.yaml		.markdownlint.yaml
README.md		README.md
environment.yml		environment.yml
how_to_run		how_to_run
hyperparameter_analysis.py		hyperparameter_analysis.py