OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
boxam_vis_demo.py
(#655)convert_kd_ckpt_to_student.py
file (#647)FAQ
and training_testing_tricks
(#691,#693)A total of 21 developers contributed to this release.
Thank @Lum1104,@azure-wings,@FeiGeChuanShu,@Lingrui Gu,@Nioolek,@huayuan4396,@RangeKing,@danielhonies,@yechenzhi,@JosonChan1998,@kitecats,@Qingrenn,@triple-Mu,@kikefdezl,@zhangrui-wolf,@xin-li-67,@Ben-Louis,@zgzhengSEU,@VoyagerXvoyagerx,@tang576225574,@hhaAndroid
metainfo
is all lowercase when training or testing (#535)contributing.md
DetDataPreprocessor
branch to support multitasking (#511)gt_instances_preprocess
so it can be used for other YOLO algorithms (#532)yolov7-e6e
weight conversion script (#570)A total of 23 developers contributed to this release.
Thank @triple-Mu, @isLinXu, @Audrey528, @TianWen580, @yechenzhi, @RangeKing, @lyviva, @Nioolek, @PeterH0323, @tianleiSHI, @aptsunny, @satuoqaq, @vansin, @xin-li-67, @VoyagerXvoyagerx, @landhill, @kitecats, @tang576225574, @HIT-cwh, @AI-Tianlong, @RangiLyu, @hhaAndroid, @liuyanyi
optimize_anchors.py
script import error (#452)get_started.md
(#474)RTMDet
P6 model (#480)A total of 9 developers contributed to this release.
Thank @VoyagerXvoyagerx, @tianleiSHI, @RangeKing, @PeterH0323, @Nioolek, @triple-Mu, @lyviva, @Zheng-LinXiao, @hhaAndroid
iscrowd
attribute training in YOLOv5
crowdhuman
dataset (#368)YOLOX
structure description (#402)YOLOv7
easy deploy (#427)metainfo
fields to lower case (#362, #412)how_to.md
(#404)rtmdet_description.md
document to English (#353)yolov6_description.md
(#382, #372)--class-id-txt
is set (#430)YOLOv5
head (#413)torch.cat()
expected a non-empty list of Tensors (#376)YOLOv7
training (#397)scale_factor
and pad_param
value in LetterResize
(#387)YOLOv6
from training to val (#378)np.int
and legacy builder.py (#389)pad_param
error (#354)useful_tools.md
(#384)custom_dataset.md
(#381)np.bool
type alias (#396)article.md
(#350)browse_dataset
and support RepeatDataset
(#340, #338)A total of 28 developers contributed to this release.
Thank @RangeKing, @PeterH0323, @Nioolek, @triple-Mu, @matrixgame2018, @xin-li-67, @tang576225574, @kitecats, @Seperendity, @diplomatist, @vaew, @wzr-skn, @VoyagerXvoyagerx, @MambaWong, @tianleiSHI, @caj-github, @zhubochao, @lvhan028, @dsghaonan, @lyviva, @yuewangg, @wang-tf, @satuoqaq, @grimoire, @RunningLeon, @hanrui1sensetime, @RangiLyu, @hhaAndroid
browse_dataset.py
script supports visualization of original image, data augmentation and intermediate results (#304)image_demo.py
(#288, #314)labelme2coco
script (#308, #313)how-to.md
and update plugin.md
(#291)contributing.md
and code_style.md
(#322)YOLOv5
deployment at RV1126 device (#262)LetterResize
and YOLOv5KeepRatioResize
(#305)YOLOX Nano
model (#285)RTMDet
deploy error (#287)make_stage_plugins
doc in basebackbone
(#296)RTMDet
model graph (#317)test.py
(#316)extract_subcoco.py
script (#286)config.md
(#297, #303)
6Add mosaic9 graph in docstring (#307)browse_coco_json.py
script args (#309)dataset_analysis.py
to be more general (#294)A total of 14 developers contributed to this release.
Thank @fcakyon, @matrixgame2018, @MambaWong, @imAzhou, @triple-Mu, @RangeKing, @PeterH0323, @xin-li-67, @kitecats, @hanrui1sensetime, @AllentDan, @Zheng-LinXiao, @hhaAndroid, @wanghonglie
add_dump_metric
error based on mmdet 3.0.0rc3 (#253)init_cfg
issue (#272)featmap_vis_demo
support for folder and url input (#248)A total of 10 developers contributed to this release.
Thank @kitecats, @triple-Mu, @RangeKing, @PeterH0323, @Zheng-LinXiao, @tkhe, @weikai520, @zytx121, @wanghonglie, @hhaAndroid
optimize_anchors
script (#175)extract_subcoco
script (#186)yolo2coco
conversion script (#161)dataset_analysis
script (#172)cfg.resume
does not work when set (#221)test_pipeline
(#166)image_demo
script to support folder and url paths (#128)yolov5_description.md
, yolov5_tutorial.md
and visualization.md
into English (#138, #198, #206)config.md
, faq.md
and pull_request_template.md
(#190, #191, #200)article
page (#133)A total of 14 developers contributed to this release.
Thank @imAzhou, @triple-Mu, @RangeKing, @PeterH0323, @xin-li-67, @Nioolek, @kitecats, @Bin-ze, @JiayuXu0, @cydiachen, @zhiqwang, @Zheng-LinXiao, @hhaAndroid, @wanghonglie
Based on MMDetection's RTMDet high precision and low latency object detection algorithm, we have also released RTMDet and provided a Chinese document on the principle and implementation of RTMDet.
LetterResize
does not meet the expectation when using imscale
(#105)Compose
Logic in BaseMixImageTransform
(#71)test.py
(#84)A total of 13 developers contributed to this release.
Thank @wanghonglie, @hhaAndroid, @yang-0201, @PeterH0323, @RangeKing, @satuoqaq, @Zheng-LinXiao, @xin-li-67, @suibe-qingtian, @MambaWong, @MichaelCai0912, @rimoire, @Nioolek
We have released MMYOLO open source library, which is based on MMEngine, MMCV 2.x and MMDetection 3.x libraries. At present, the object detection has been realized, and it will be expanded to multi-task in the future.