G
Guanghua Yu 推送
add PicoDet cn docs (#4819) 511d179b
1336次提交
名称 最后提交 最后更新
..
cascade_rcnn fix cascade_mask_rcnn export model (#4088)
centernet add mv3_small centernet config (#4700)
datasets fix problem of s2anet while deploying (#4624)
dcn add senet (#2553)
deformable_detr [doc fix] fix detr docs, test=document_fix (#3872)
detr [doc fix] fix detr docs, test=document_fix (#3872)
dota modify docs of ppyolo and s2anet, test=document_fix (#4738)
face_detection update version and fix link for develop (#4406)
faster_rcnn add multi-scale test (#4377)
fcos fix readme and fcos docs (#3144)
gfl update PicoDet Architecture and config (#4323)
gn add coments for rcnn (#2461)
hrnet [doc] Fix rcnn det coments (#2464)
keypoint add yaml guide file; (#4771)
mask_rcnn support no label training (#2576)
mot [MOT] update pptracking and mot doc (#4779)
pedestrian fix some problem in docs, test=document_fix (#3028)
picodet add PicoDet cn docs (#4819)
ppyolo modify docs of ppyolo and s2anet, test=document_fix (#4738)
rcnn_enhance solve readme link useless (#4276)
res2net [doc] update link(#3043)
slim Unstructured prune (#4653)
sniper add sniper note do not support export and infer (#4743)
solov2 add solov2 enhance model (#3517)
sparse_rcnn Fix args for infer (#3839)
ssd [ssd] add MLPerf ssd model (#4055)
tood [TOOD] fix dy2st (#4751)
ttfnet solve readme link useless (#4276)
vehicle fix some problem in docs, test=document_fix (#3028)
yolov3 add yolov3 original model (#3643)
runtime.yml add flops (#3629)

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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