Update url.md

README.md

@@ -69,15 +69,7 @@ pip install mmdet==2.26.0 （对应mmcv 1.7.1）
 ```
 
 ## 数据集
-通过SCNet下载[COCO2017](http://113.200.138.88:18080/aidatasets/coco2017)所需数据集：
-
-[训练数据](http://113.200.138.88:18080/aidatasets/coco2017/-/blob/main/train2017.zip)
-
-[验证数据](http://113.200.138.88:18080/aidatasets/coco2017/-/blob/main/val2017.zip)
-
-[测试数据](http://113.200.138.88:18080/aidatasets/coco2017/-/blob/main/test2017.zip)
-
-[标签数据](http://113.200.138.88:18080/aidatasets/coco2017/-/blob/main/annotations_trainval2017.zip)
+通过SCNet下载[COCO2017](https://cocodataset.org/#home)所需数据集。
 
 数据集的目录结构如下:
 
@@ -132,7 +124,7 @@ bash ./train_multi.sh
 ```bash
 python test.py --pre_trained_model <checkpoint path> --coco_path <coco path>
 ```
-以[r50_hybrid_branch_lambda1_group6_t1500_dp0_mqs_lft_deformable_detr_plus_iterative_bbox_refinement_plus_plus_two_stage_12eps.pth](http://113.200.138.88:18080/aimodels/findsource-dependency/hdetr_pytorch/-/blob/main/r50_hybrid_branch_lambda1_group6_t1500_dp0_mqs_lft_deformable_detr_plus_iterative_bbox_refinement_plus_plus_two_stage_12eps.pth)模型为例：
+以[r50_hybrid_branch_lambda1_group6_t1500_dp0_mqs_lft_deformable_detr_plus_iterative_bbox_refinement_plus_plus_two_stage_12eps.pth](https://github.com/HDETR/H-Deformable-DETR/releases/download/v0.1/r50_hybrid_branch_lambda1_group6_t1500_dp0_mqs_lft_deformable_detr_plus_iterative_bbox_refinement_plus_plus_two_stage_12eps.pth)模型为例：
 ```bash
 python test.py --pre_trained_model /path/r50_hybrid_branch_lambda1_group6_t1500_dp0_mqs_lft_deformable_detr_plus_iterative_bbox_refinement_plus_plus_two_stage_12eps.pth --coco_path /path/coco/data --two_stage --num_queries_one2many 1500 --mixed_selection --look_forward_twice
 ```
@@ -150,7 +142,7 @@ COCO2017测试集上的单张图像结果展示:
 </div>
 
 ### 精度
-测试数据：[COCO-test2017](http://113.200.138.88:18080/aidatasets/coco2017/-/blob/main/test2017.zip)，测试模型config:[r50_hybrid_branch_lambda1_group6_t1500_dp0_mqs_lft_deformable_detr_plus_iterative_bbox_refinement_plus_plus_two_stage.sh](./configs/two_stage/deformable-detr-hybrid-branch/12eps/r50_hybrid_branch_lambda1_group6_t1500_dp0_mqs_lft_deformable_detr_plus_iterative_bbox_refinement_plus_plus_two_stage.sh)
+测试数据：COCO-test2017，测试模型config:[r50_hybrid_branch_lambda1_group6_t1500_dp0_mqs_lft_deformable_detr_plus_iterative_bbox_refinement_plus_plus_two_stage.sh](./configs/two_stage/deformable-detr-hybrid-branch/12eps/r50_hybrid_branch_lambda1_group6_t1500_dp0_mqs_lft_deformable_detr_plus_iterative_bbox_refinement_plus_plus_two_stage.sh)
 
 结果如下表所示:
 | Device | Backbone | query | epochs | AP |
@@ -166,7 +158,7 @@ COCO2017测试集上的单张图像结果展示:
 网安,交通,政府
 
 ## 预训练权重
-- [SCNet AIModels - hdetr_pytorch](http://113.200.138.88:18080/aimodels/findsource-dependency/hdetr_pytorch)
+- [r50_hybrid_branch_lambda1_group6_t1500_dp0_mqs_lft_deformable_detr_plus_iterative_bbox_refinement_plus_plus_two_stage_12eps](https://github.com/HDETR/H-Deformable-DETR/releases/download/v0.1/r50_hybrid_branch_lambda1_group6_t1500_dp0_mqs_lft_deformable_detr_plus_iterative_bbox_refinement_plus_plus_two_stage_12eps.pth)
 
 ## 源码仓库及问题反馈
 - https://developer.hpccube.com/codes/modelzoo/hdetr_pytorch