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benchmark update docs
cmake prevent make clean from cleaning ExternalProject boost
doc Rewrite the Send/Recv part of csp.md (#8164)
go "fix decode bug" (#7711)
paddle Add ReadOp
proto Feature/hooks (#7513)
python Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into dev_make_VarDesc_supporting_multiple_tensor
tools Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into boost_cmake
.clang-format Send recv op (#5520)
.clang_format.hook clang format with version check (#3513)
.copyright.hook "fix typo" (#7846)
.dockerignore refine docker build
.gitignore Add version api (#2985)
.pre-commit-config.yaml Feature/hooks (#7513)
.style.yapf change python code style to pep8
.travis.yml Refine CheckStyle Script (#5942)
AUTHORS.md sort the Author.md with Alphabetical order
CMakeLists.txt prevent make clean from cleaning ExternalProject boost
CODE_OF_CONDUCT.md Adding a Code of Conduct for Paddle open source project (#7579)
CODE_OF_CONDUCT_cn.md change CODE_OF_CONDUCT_cn.md from Traditional Chinese to Simplified Chinese
CONTRIBUTING.md * Add symbolic link from Paddle/CONTRIBUTING.md to doc/howto/dev/contribute_to_paddle_en.md so sphinx can generate the document
Dockerfile Remove boost installing step and remove boost installation in Dockerfile scripts.
Dockerfile.android Add ARGS ANDROID_API in Dockerfile.android, to support using toolchain of different api level.
ISSUE_TEMPLATE.md Revise one word in ISSUE_TEMPLATE.md (#371)
LICENSE
README.md
RELEASE.cn.md
RELEASE.md

项目简介

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

:rocket: Github 镜像仓库 :rocket:

源项目地址 :arrow_down: :arrow_down: :arrow_down:

https://github.com/PaddlePaddle/PaddleDetection

blazefacedeepsortdetrface-detectionfairmotfaster-rcnnfcoshuman-activity-recognitionhuman-pose-estimationinstance-segmentationmask-rcnnmulti-object-trackingobject-detectionpicodetpp-yolort-detryolov3yolov5yolov7yolox

发行版本 8

release/2.6

全部发行版

贡献者 41

全部贡献者

开发语言

  • Python 92.8 %
  • C++ 3.5 %
  • Jupyter Notebook 1.6 %
  • Cuda 1.1 %
  • CMake 0.7 %
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