[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation. - fundamentalvision/BEVFormer
git clone https://github.com/open-mmlab/mmdetection.git cd mmdetection git checkout v2.25.1 pip install -v -e . # "-v" means verbose, or more output # "-e" means installing a project in editable mode, # thus any local modifications made to the code will take effect without reinstall...
./tools/dist_train.sh ./projects/configs/bevformer/bevformer_base.py 8 Eval BEVFormer with 8 GPUs ./tools/dist_test.sh ./projects/configs/bevformer/bevformer_base.py ./path/to/ckpts.pth 8 Note: using 1 GPU to eval can obtain slightly higher performance because continuous video may ...
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https://github.com/fundamentalvision/BEVFormer/blob/master/docs/install.md conda create -n open-mmlab python=3.8 -y conda activate open-mmlab 步骤b有个小技巧,可以先通过下载工具把https://download.pytorch.org/whl/cu111/torch-1.9.1%2Bcu111-cp38-cp38-linux_x86_64.whl下载下来,放到home目录通过...
pip install einops fvcore seaborn iopath==0.1.9 timm==0.6.13 typing-extensions==4.5.0 pylint ipython==8.12 numpy==1.19.5 matplotlib==3.5.2 numba==0.48.0 pandas==1.4.4 scikit-image==0.19.3 setuptools==59.5.0 python -m pip install 'git+https://github.com/facebookresearch/detectron2....
This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation. - BEVFormer/projects/configs/bevformer/bevformer_base.py at master · mfkiwl/BEVFormer
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BEV Perception Survey|Github repo News [2022/6/16]: We added two BEVformer configurations, which require less GPU memory than the base version. Please pull this repo to obtain the latest codes. [2022/6/13]: We release an initial version of BEVFormer. It achieves a baseline result of51.7...
BEVFormer是一种纯视觉的自动驾驶感知算法,通过融合环视相机图像的空间和时序特征显式的生成具有强表征能力的BEV特征,并应用于下游3D检测、分割等任务,取得了SOTA的结果。我们在EasyCV开源框架(github.com/alibaba/Easy)中,对BEVFomer算法进行集成,并从训练速度、算法收敛速度角度对代码进行了一些优化。同时,我们进一步使...