Data

Tools

Indexes

Applications

Experiments

Open Source Science

fastbev

My progress with FastBEV

https://github.com/baophann/fastbev

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
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (8.1%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

Repository

My progress with FastBEV

Basic Info
  • Host: GitHub
  • Owner: BaophanN
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 16.4 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme Contributing License Code of conduct Citation

README.md

FastBEV++

Currently, playing with mini-nuscenes since the full dataset is too heavy. The codebase is similar to that of LaneSegNet. Needs to install spconv-cu111.

Another option is to use the bevdet image from dockerhub.

Main Results

Inference latency

Training the model

```shell

./tools/dist_train 1 configs/fastbev/paper/fastbev-r50-cbgs.py ```

Estimate the inference speed of BEVDet

```shell

with acceleration

python tools/analysis_tools/benchmark.py configs/bevdet/bevdet-sttiny-accelerated.py $checkpoint

without acceleration

python tools/analysis_tools/benchmark.py configs/bevdet/bevdet-sttiny.py $checkpoint ```

Estimate the flops of BEVDet

Note: For bevdet4d, the FLOP result involves the current frame only.
shell python tools/analysis_tools/get_flops.py configs/bevdet/bevdet-sttiny.py --shape 256 704 python tools/analysis_tools/get_flops.py configs/bevdet4d/bevdet4d-sttiny.py --shape 256 704

Visualize the predicted result with open3d.

  • Official implementation. (Visualization locally only) shell python tools/test.py $config $checkpoint --show --show-dir $save-path
  • Private implementation. (Visualization remotely/locally) shell python tools/test.py $config $checkpoint --format-only --eval-options jsonfile_prefix=$savepath python tools/analysis_tools/vis.py $savepath/pts_bbox/results_nusc.json

Acknowledgement

This project is not possible without multiple great open-sourced code bases. We list some notable examples below.

Owner

  • Name: Bao Phan
  • Login: BaophanN
  • Kind: user

Where there's a will, there's a way.

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

GitHub Events

Total
  • Push event: 4
  • Create event: 2
Last Year
  • Push event: 4
  • Create event: 2

Dependencies

.github/workflows/build.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • codecov/codecov-action v1.0.10 composite
  • codecov/codecov-action v2 composite
.github/workflows/deploy.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
.github/workflows/lint.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v1 composite
.github/workflows/test_mim.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
docker/Dockerfile docker
  • nvcr.io/nvidia/tensorrt 22.07-py3 build
docker/serve/Dockerfile docker
  • pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
requirements/build.txt pypi
requirements/docs.txt pypi
  • docutils ==0.16.0
  • m2r *
  • mistune ==0.8.4
  • myst-parser *
  • sphinx ==4.0.2
  • sphinx-copybutton *
  • sphinx_markdown_tables *
requirements/mminstall.txt pypi
  • mmcv-full >=1.4.8,<=1.6.0
  • mmdet >=2.24.0,<=3.0.0
  • mmsegmentation >=0.20.0,<=1.0.0
requirements/optional.txt pypi
  • open3d *
  • spconv *
  • waymo-open-dataset-tf-2-1-0 ==1.2.0
requirements/readthedocs.txt pypi
  • mmcv >=1.4.8
  • mmdet >=2.24.0
  • mmsegmentation >=0.20.1
  • torch *
  • torchvision *
requirements/runtime.txt pypi
  • lyft_dataset_sdk *
  • networkx >=2.2,<2.3
  • numba ==0.53.0
  • numpy *
  • nuscenes-devkit *
  • plyfile *
  • scikit-image *
  • tensorboard *
  • trimesh >=2.35.39,<2.35.40
requirements/tests.txt pypi
  • asynctest * test
  • codecov * test
  • flake8 * test
  • interrogate * test
  • isort * test
  • kwarray * test
  • pytest * test
  • pytest-cov * test
  • pytest-runner * test
  • ubelt * test
  • xdoctest >=0.10.0 test
  • yapf * test
requirements.txt pypi
setup.py pypi