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detr3d-exp

https://github.com/zitengxue/detr3d-exp

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (6.1%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: ZitengXue
  • License: apache-2.0
  • Language: Python
  • Default Branch: master
  • Size: 5.31 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed over 2 years ago
Metadata Files
Readme Contributing License Code of conduct Citation

README.md

Installation

  1. Environment Setup ```bash conda create -n detr python=3.8 -y

pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 -f https://download.pytorch.org/whl/torch_stable.html pip install -U openmim mim install 'mmengine==0.8.4' mim install 'mmcv==2.0.0rc4' mim install 'mmdet==3.0.0rc5' pip install setuptools==59.5.0 pip install -v -e . ``` 2. Downloads the pretrained backbone weights to pretrained/

  1. Downloads the language model and config to /text

    Get Started

  2. Please Download nuScenes dataset to data/nuscnes and run bash python tools/create_data.py nuscenes --root-path ./data/nuscenes --out-dir ./data/nuscenes --extra-tag nuscenes which should look like: |--nuscnes |--maps |--samples |--sweeps |--v1.0-test |--v1.0-trainval |--nuscenesgtdatabase |--nuscenesdbinfostrain.pkl |--nuscenesinfostest.pkl |--nuscenesinfosval.pkl |--nuscenesinfostrain.pkl

  3. For example, to train DETR3D on 2 GPUs with bert encoder and half data, please use

bash bash tools/dist_train.sh projects/DETR3D/configs/detr3d_r50_bert_gridmask_halfdata.py 2 --cfg-options load_from=pretrained/fcos3d.pth

Owner

  • Name: indigo
  • Login: ZitengXue
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - name: "MMDetection3D Contributors"
title: "OpenMMLab's Next-generation Platform for General 3D Object Detection"
date-released: 2020-07-23
url: "https://github.com/open-mmlab/mmdetection3d"
license: Apache-2.0

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