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git clone git@github.com:zhaone/LaneGCN_ref.git You can refer to ./docker to see how to build the image. Data preparation In container /workspace/ tar -xzf ./datasets.tar.gz Bingo! Training To train the model, locate to root dir of this project and run bash ./run_exp.sh lanegcn...
本文所有的代码均来自Uber官方的开源代码。 https://github.com/uber-research/LaneGCN - END -
Uber LaneGCN-训练数据准备 Uber LaneGCN的开源代码的训练数据使用了Argoverse Motion Forecasting数据集。 Argoverse Motion Forecasting is a curated collection of 324,557 scenarios, each 5 seconds long, for training and validation. Each scenario contains the 2D, birds-eye-view centroid of each tracked obje...
完整的网络模型 参考资料 本文所有的代码和图片均来自Uber官方的Paper、Slides和开源代码。 Paper:https://arxiv.org/pdf/2007.13732.pdf Sliders:http://www.cs.toronto.edu/~byang/slides/LaneGCN.pdf 开源代码:https://github.com/uber-research/LaneGCN...
conda create --name lanegcn python=3.7 conda activate lanegcn conda install pytorch==1.5.1 torchvision cudatoolkit=10.2 -c pytorch # pytorch=1.5.1 when the code is release # install argoverse api pip install git+https://github.com/argoai/argoverse-api.git # install others dependancy pip inst...
conda create --name lanegcn python=3.7 conda activate lanegcn conda install pytorch==1.5.1 torchvision cudatoolkit=10.2 -c pytorch#pytorch=1.5.1 when the code is release#install argoverse apipip install git+https://github.com/argoai/argoverse-api.git#install others dependancypip install scikit-...
tar xvf forecasting_val_v1.1.tar.gz tar xvf forecasting_test_v1.1.tar.gz0 comments on commit cad2469 Please sign in to comment. Footer © 2024 GitHub, Inc. Footer navigation Terms Privacy Security Status Docs Contact Manage cookies Do not share my personal information ...
conda create --name lanegcn python=3.7 conda activate lanegcn conda install pytorch==1.5.1 torchvision cudatoolkit=10.2 -c pytorch # pytorch=1.5.1 when the code is release # install argoverse api pip install git+https://github.com/argoai/argoverse-api.git # install others dependancy pip inst...
conda create --name lanegcn python=3.7 conda activate lanegcn conda install pytorch==1.5.1 torchvision cudatoolkit=10.2 -c pytorch # pytorch=1.5.1 when the code is release # install argoverse api pip install git+https://github.com/argoai/argoverse-api.git # install others dependancy pip inst...