From 54a5f0925f3e15c9d59f127f93be847c3cd48894 Mon Sep 17 00:00:00 2001 From: Feng Ni Date: Fri, 23 Sep 2022 10:58:36 +0800 Subject: [PATCH] [cherry-pick] fix mot dataset link (#7003) --- configs/mot/DataDownload.md | 15 ++++++++------- configs/mot/README.md | 18 +++++++++--------- configs/mot/README_en.md | 16 ++++++++-------- configs/mot/bytetrack/README_cn.md | 2 +- configs/mot/bytetrack/detector/README_cn.md | 2 +- configs/mot/deepsort/detector/README.md | 2 +- configs/mot/deepsort/detector/README_cn.md | 2 +- configs/mot/ocsort/README.md | 2 +- docs/tutorials/data/PrepareMOTDataSet.md | 18 +++++++++--------- docs/tutorials/data/PrepareMOTDataSet_en.md | 16 ++++++++-------- 10 files changed, 47 insertions(+), 46 deletions(-) diff --git a/configs/mot/DataDownload.md b/configs/mot/DataDownload.md index d17cadf42..a8c9207f8 100644 --- a/configs/mot/DataDownload.md +++ b/configs/mot/DataDownload.md @@ -9,13 +9,14 @@ | 数据集 | 下载链接 | 备注 | | :-------------| :-------------| :----: | -| MOT17 | [download](https://dataset.bj.bcebos.com/mot/MOT16.zip) | - | -| MOT16 | [download](https://dataset.bj.bcebos.com/mot/MOT16.zip) | - | -| Caltech | [download](https://dataset.bj.bcebos.com/mot/Caltech.zip) | - | -| Cityscapes | [download](https://dataset.bj.bcebos.com/mot/Cityscapes.zip) | - | -| CUHKSYSU | [download](https://dataset.bj.bcebos.com/mot/CUHKSYSU.zip) | - | -| PRW | [download](https://dataset.bj.bcebos.com/mot/PRW.zip) | - | -| ETHZ | [download](https://dataset.bj.bcebos.com/mot/ETHZ.zip) | - | +| MOT17 | [download](https://bj.bcebos.com/v1/paddledet/data/mot/MOT17.zip) | - | +| MOT16 | [download](https://bj.bcebos.com/v1/paddledet/data/mot/MOT16.zip) | - | +| Caltech | [download](https://bj.bcebos.com/v1/paddledet/data/mot/Caltech.zip) | - | +| Cityscapes | [download](https://bj.bcebos.com/v1/paddledet/data/mot/Cityscapes.zip) | - | +| CUHKSYSU | [download](https://bj.bcebos.com/v1/paddledet/data/mot/CUHKSYSU.zip) | - | +| PRW | [download](https://bj.bcebos.com/v1/paddledet/data/mot/PRW.zip) | - | +| ETHZ | [download](https://bj.bcebos.com/v1/paddledet/data/mot/ETHZ.zip) | - | + ## 车辆跟踪 diff --git a/configs/mot/README.md b/configs/mot/README.md index f21d760be..3fded48a3 100644 --- a/configs/mot/README.md +++ b/configs/mot/README.md @@ -129,7 +129,7 @@ SDE数据集是纯检测标注的数据集，用户自定义数据集可以参 以MOT17数据集为例，下载并解压放在`PaddleDetection/dataset/mot`目录下： ``` -wget https://dataset.bj.bcebos.com/mot/MOT17.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/MOT17.zip ``` 并修改数据集部分的配置文件如下： @@ -166,19 +166,19 @@ dataset/mot ### JDE数据集 JDE数据集是同时有检测和ReID标注的数据集，首先按照以下命令`image_lists.zip`并解压放在`PaddleDetection/dataset/mot`目录下： ``` -wget https://dataset.bj.bcebos.com/mot/image_lists.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/image_lists.zip ``` 然后按照以下命令可以快速下载各个公开数据集，也解压放在`PaddleDetection/dataset/mot`目录下： ``` # MIX数据，同JDE,FairMOT论文使用的数据集 -wget https://dataset.bj.bcebos.com/mot/MOT17.zip -wget https://dataset.bj.bcebos.com/mot/Caltech.zip -wget https://dataset.bj.bcebos.com/mot/CUHKSYSU.zip -wget https://dataset.bj.bcebos.com/mot/PRW.zip -wget https://dataset.bj.bcebos.com/mot/Cityscapes.zip -wget https://dataset.bj.bcebos.com/mot/ETHZ.zip -wget https://dataset.bj.bcebos.com/mot/MOT16.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/MOT17.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/Caltech.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/CUHKSYSU.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/PRW.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/Cityscapes.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/ETHZ.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/MOT16.zip ``` 数据集目录为： ``` diff --git a/configs/mot/README_en.md b/configs/mot/README_en.md index eafd462ce..9573dbba0 100644 --- a/configs/mot/README_en.md +++ b/configs/mot/README_en.md @@ -86,18 +86,18 @@ PaddleDetection implement [JDE](https://github.com/Zhongdao/Towards-Realtime-MOT ### Dataset Directory First, download the image_lists.zip using the following command, and unzip them into `PaddleDetection/dataset/mot`: ``` -wget https://dataset.bj.bcebos.com/mot/image_lists.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/image_lists.zip ``` Then, download the MIX dataset using the following command, and unzip them into `PaddleDetection/dataset/mot`: ``` -wget https://dataset.bj.bcebos.com/mot/MOT17.zip -wget https://dataset.bj.bcebos.com/mot/Caltech.zip -wget https://dataset.bj.bcebos.com/mot/CUHKSYSU.zip -wget https://dataset.bj.bcebos.com/mot/PRW.zip -wget https://dataset.bj.bcebos.com/mot/Cityscapes.zip -wget https://dataset.bj.bcebos.com/mot/ETHZ.zip -wget https://dataset.bj.bcebos.com/mot/MOT16.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/MOT17.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/Caltech.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/CUHKSYSU.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/PRW.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/Cityscapes.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/ETHZ.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/MOT16.zip ``` The final directory is: diff --git a/configs/mot/bytetrack/README_cn.md b/configs/mot/bytetrack/README_cn.md index 8e93134f8..ece152f53 100644 --- a/configs/mot/bytetrack/README_cn.md +++ b/configs/mot/bytetrack/README_cn.md @@ -41,7 +41,7 @@ **注意:** - 模型权重下载链接在配置文件中的```det_weights```和```reid_weights```，运行```tools/eval_mot.py```评估的命令即可自动下载，```reid_weights```若为None则表示不需要使用，ByteTrack默认不使用ReID权重。 - - **MOT17-half train**是MOT17的train序列(共7个)每个视频的前一半帧的图片和标注组成的数据集，而为了验证精度可以都用**MOT17-half val**数据集去评估，它是每个视频的后一半帧组成的，数据集可以从[此链接](https://dataset.bj.bcebos.com/mot/MOT17.zip)下载，并解压放在`dataset/mot/`文件夹下。 + - **MOT17-half train**是MOT17的train序列(共7个)每个视频的前一半帧的图片和标注组成的数据集，而为了验证精度可以都用**MOT17-half val**数据集去评估，它是每个视频的后一半帧组成的，数据集可以从[此链接](https://bj.bcebos.com/v1/paddledet/data/mot/MOT17.zip)下载，并解压放在`dataset/mot/`文件夹下。 - **mix_mot_ch**数据集，是MOT17、CrowdHuman组成的联合数据集，**mix_det**是MOT17、CrowdHuman、Cityscapes、ETHZ组成的联合数据集，数据集整理的格式和目录可以参考[此链接](https://github.com/ifzhang/ByteTrack#data-preparation)，最终放置于`dataset/mot/`目录下。为了验证精度可以都用**MOT17-half val**数据集去评估。 - ByteTrack的训练是单独的检测器训练MOT数据集，推理是组装跟踪器去评估MOT指标，单独的检测模型也可以评估检测指标。 - ByteTrack的导出部署，是单独导出检测模型，再组装跟踪器运行的，参照[PP-Tracking](../../../deploy/pptracking/python/README.md)。 diff --git a/configs/mot/bytetrack/detector/README_cn.md b/configs/mot/bytetrack/detector/README_cn.md index 98b40bf61..6de434cb4 100644 --- a/configs/mot/bytetrack/detector/README_cn.md +++ b/configs/mot/bytetrack/detector/README_cn.md @@ -16,7 +16,7 @@ | CSPDarkNet | YOLOX-x(mix_det) | 800x1440 | 24e | ---- | 65.4 | [下载链接](https://paddledet.bj.bcebos.com/models/mot/deepsort/yolox_x_24e_800x1440_mix_det.pdparams) | [配置文件](./yolox_x_24e_800x1440_mix_det.yml) | **注意:** - - 以上模型除YOLOX外采用**MOT17-half train**数据集训练，数据集可以从[此链接](https://dataset.bj.bcebos.com/mot/MOT17.zip)下载。 + - 以上模型除YOLOX外采用**MOT17-half train**数据集训练，数据集可以从[此链接](https://bj.bcebos.com/v1/paddledet/data/mot/MOT17.zip)下载。 - **MOT17-half train**是MOT17的train序列(共7个)每个视频的前一半帧的图片和标注组成的数据集，而为了验证精度可以都用**MOT17-half val**数据集去评估，它是每个视频的后一半帧组成的，数据集可以从[此链接](https://paddledet.bj.bcebos.com/data/mot/mot17half/annotations.zip)下载，并解压放在`dataset/mot/MOT17/images/`文件夹下。 - YOLOX-x(mix_mot_ch)采用**mix_mot_ch**数据集，是MOT17、CrowdHuman组成的联合数据集；YOLOX-x(mix_det)采用**mix_det**数据集，是MOT17、CrowdHuman、Cityscapes、ETHZ组成的联合数据集，数据集整理的格式和目录可以参考[此链接](https://github.com/ifzhang/ByteTrack#data-preparation)，最终放置于`dataset/mot/`目录下。为了验证精度可以都用**MOT17-half val**数据集去评估。 - 行人跟踪请使用行人检测器结合行人ReID模型。车辆跟踪请使用车辆检测器结合车辆ReID模型。 diff --git a/configs/mot/deepsort/detector/README.md b/configs/mot/deepsort/detector/README.md index dd2cd68e9..4cfe273fe 100644 --- a/configs/mot/deepsort/detector/README.md +++ b/configs/mot/deepsort/detector/README.md @@ -14,7 +14,7 @@ English | [简体中文](README_cn.md) | CSPResNet | PPYOLOe | 640x640 | 36e | ---- | 52.9 | [download](https://paddledet.bj.bcebos.com/models/mot/deepsort/ppyoloe_crn_l_36e_640x640_mot17half.pdparams) | [config](./ppyoloe_crn_l_36e_640x640_mot17half.yml) | **Notes:** - - The above models are trained with **MOT17-half train** set, it can be downloaded from this [link](https://dataset.bj.bcebos.com/mot/MOT17.zip). + - The above models are trained with **MOT17-half train** set, it can be downloaded from this [link](https://bj.bcebos.com/v1/paddledet/data/mot/MOT17.zip). - **MOT17-half train** set is a dataset composed of pictures and labels of the first half frame of each video in MOT17 Train dataset (7 sequences in total). **MOT17-half val set** is used for evaluation, which is composed of the second half frame of each video. They can be downloaded from this [link](https://paddledet.bj.bcebos.com/data/mot/mot17half/annotations.zip). Download and unzip it in the `dataset/mot/MOT17/images/`folder. - YOLOv3 is trained with the same pedestrian dataset as `configs/pphuman/pedestrian_yolov3/pedestrian_yolov3_darknet.yml`, which is not open yet. - For pedestrian tracking, please use pedestrian detector combined with pedestrian ReID model. For vehicle tracking, please use vehicle detector combined with vehicle ReID model. diff --git a/configs/mot/deepsort/detector/README_cn.md b/configs/mot/deepsort/detector/README_cn.md index 9110096bb..050cc8ade 100644 --- a/configs/mot/deepsort/detector/README_cn.md +++ b/configs/mot/deepsort/detector/README_cn.md @@ -15,7 +15,7 @@ | CSPResNet | PPYOLOe | 640x640 | 36e | ---- | 52.9 | [下载链接](https://paddledet.bj.bcebos.com/models/mot/deepsort/ppyoloe_crn_l_36e_640x640_mot17half.pdparams) | [配置文件](./ppyoloe_crn_l_36e_640x640_mot17half.yml) | **注意:** - - 以上模型均可采用**MOT17-half train**数据集训练，数据集可以从[此链接](https://dataset.bj.bcebos.com/mot/MOT17.zip)下载。 + - 以上模型均可采用**MOT17-half train**数据集训练，数据集可以从[此链接](https://bj.bcebos.com/v1/paddledet/data/mot/MOT17.zip)下载。 - **MOT17-half train**是MOT17的train序列(共7个)每个视频的前一半帧的图片和标注组成的数据集，而为了验证精度可以都用**MOT17-half val**数据集去评估，它是每个视频的后一半帧组成的，数据集可以从[此链接](https://paddledet.bj.bcebos.com/data/mot/mot17half/annotations.zip)下载，并解压放在`dataset/mot/MOT17/images/`文件夹下。 - YOLOv3和`configs/pphuman/pedestrian_yolov3/pedestrian_yolov3_darknet.yml`是相同的pedestrian数据集训练的，此数据集暂未开放。 - 行人跟踪请使用行人检测器结合行人ReID模型。车辆跟踪请使用车辆检测器结合车辆ReID模型。 diff --git a/configs/mot/ocsort/README.md b/configs/mot/ocsort/README.md index 1d2d6144a..28fbbb23d 100644 --- a/configs/mot/ocsort/README.md +++ b/configs/mot/ocsort/README.md @@ -22,7 +22,7 @@ **注意:** - 模型权重下载链接在配置文件中的```det_weights```和```reid_weights```，运行验证的命令即可自动下载，OC_SORT默认不需要```reid_weights```权重。 - - **MOT17-half train**是MOT17的train序列(共7个)每个视频的前一半帧的图片和标注组成的数据集，而为了验证精度可以都用**MOT17-half val**数据集去评估，它是每个视频的后一半帧组成的，数据集可以从[此链接](https://dataset.bj.bcebos.com/mot/MOT17.zip)下载，并解压放在`dataset/mot/`文件夹下。 + - **MOT17-half train**是MOT17的train序列(共7个)每个视频的前一半帧的图片和标注组成的数据集，而为了验证精度可以都用**MOT17-half val**数据集去评估，它是每个视频的后一半帧组成的，数据集可以从[此链接](https://bj.bcebos.com/v1/paddledet/data/mot/MOT17.zip)下载，并解压放在`dataset/mot/`文件夹下。 - **mix_mot_ch**数据集，是MOT17、CrowdHuman组成的联合数据集，**mix_det**是MOT17、CrowdHuman、Cityscapes、ETHZ组成的联合数据集，数据集整理的格式和目录可以参考[此链接](https://github.com/ifzhang/ByteTrack#data-preparation)，最终放置于`dataset/mot/`目录下。为了验证精度可以都用**MOT17-half val**数据集去评估。 - OC_SORT的训练是单独的检测器训练MOT数据集，推理是组装跟踪器去评估MOT指标，单独的检测模型也可以评估检测指标。 - OC_SORT的导出部署，是单独导出检测模型，再组装跟踪器运行的，参照[PP-Tracking](../../../deploy/pptracking/python)。 diff --git a/docs/tutorials/data/PrepareMOTDataSet.md b/docs/tutorials/data/PrepareMOTDataSet.md index 633efa95e..37b031f1a 100644 --- a/docs/tutorials/data/PrepareMOTDataSet.md +++ b/docs/tutorials/data/PrepareMOTDataSet.md @@ -51,7 +51,7 @@ SDE数据集是纯检测标注的数据集，用户自定义数据集可以参 以MOT17数据集为例，下载并解压放在`PaddleDetection/dataset/mot`目录下： ``` -wget https://dataset.bj.bcebos.com/mot/MOT17.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/MOT17.zip ``` 并修改数据集部分的配置文件如下： @@ -88,19 +88,19 @@ dataset/mot ### JDE数据集 JDE数据集是同时有检测和ReID标注的数据集，首先按照以下命令`image_lists.zip`并解压放在`PaddleDetection/dataset/mot`目录下： ``` -wget https://dataset.bj.bcebos.com/mot/image_lists.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/image_lists.zip ``` 然后按照以下命令可以快速下载各个公开数据集，也解压放在`PaddleDetection/dataset/mot`目录下： ``` # MIX数据，同JDE,FairMOT论文使用的数据集 -wget https://dataset.bj.bcebos.com/mot/MOT17.zip -wget https://dataset.bj.bcebos.com/mot/Caltech.zip -wget https://dataset.bj.bcebos.com/mot/CUHKSYSU.zip -wget https://dataset.bj.bcebos.com/mot/PRW.zip -wget https://dataset.bj.bcebos.com/mot/Cityscapes.zip -wget https://dataset.bj.bcebos.com/mot/ETHZ.zip -wget https://dataset.bj.bcebos.com/mot/MOT16.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/MOT17.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/Caltech.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/CUHKSYSU.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/PRW.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/Cityscapes.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/ETHZ.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/MOT16.zip ``` 数据集目录为： ``` diff --git a/docs/tutorials/data/PrepareMOTDataSet_en.md b/docs/tutorials/data/PrepareMOTDataSet_en.md index f1bd170cc..fc957c636 100644 --- a/docs/tutorials/data/PrepareMOTDataSet_en.md +++ b/docs/tutorials/data/PrepareMOTDataSet_en.md @@ -20,18 +20,18 @@ PaddleDetection implement [JDE](https://github.com/Zhongdao/Towards-Realtime-MOT ### Dataset Directory First, download the image_lists.zip using the following command, and unzip them into `PaddleDetection/dataset/mot`: ``` -wget https://dataset.bj.bcebos.com/mot/image_lists.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/image_lists.zip ``` Then, download the MIX dataset using the following command, and unzip them into `PaddleDetection/dataset/mot`: ``` -wget https://dataset.bj.bcebos.com/mot/MOT17.zip -wget https://dataset.bj.bcebos.com/mot/Caltech.zip -wget https://dataset.bj.bcebos.com/mot/CUHKSYSU.zip -wget https://dataset.bj.bcebos.com/mot/PRW.zip -wget https://dataset.bj.bcebos.com/mot/Cityscapes.zip -wget https://dataset.bj.bcebos.com/mot/ETHZ.zip -wget https://dataset.bj.bcebos.com/mot/MOT16.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/MOT17.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/Caltech.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/CUHKSYSU.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/PRW.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/Cityscapes.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/ETHZ.zip +wget https://bj.bcebos.com/v1/paddledet/data/mot/MOT16.zip ``` The final directory is: -- GitLab