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Our experiments are conducted with PyTorch 2.0.1, CUDA 11.7, Ubuntu 22.04, and NVIDIA Tesla A100 (80 GB). For other requirements, please check TRAINING.md and SAMPLING.md.
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Clone the repository to your local directory.
git clone https://github.com/OpenDriveLab/Vista.git
We provide an example on nuScenes dataset for training and sampling. Before you start, make sure you have:
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Downloaded the translated action annotations from here and put the JSON files into
annos
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Downloaded all splits of Trainval in Full dataset (v1.0) to your device following official instructions. After downloading, it should contain:
$<your-nusc-data-root> ├── samples ├── sweeps ├── ... └── v1.0-trainval
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We use conda to manage the environment.
conda create -n vista python=3.9 -y conda activate vista
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Install dependencies.
conda install -y pytorch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 pytorch-cuda=11.7 -c pytorch -c nvidia pip3 install -r requirements.txt
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=> Next: [Training]