modify readme file data root

README.md

@@ -98,7 +98,7 @@ pip3 install -r conda_requirement.txt
 pip3 install -e .
 ```
 
-之后在训练脚本中--cfg-options后面修改data_root值和train，val，test中ann_file的路径
+数据集的路径可以通过修改configs/body/2d_kpt_sview_rgb_img/associative_embedding/coco/hrnet_w32_coco_512x512.py文件中的数据集路径
 
 ### 单机多卡
 ```

configs/body/2d_kpt_sview_rgb_img/associative_embedding/coco/hrnet_w32_coco_512x512.py

@@ -168,21 +168,21 @@ data = dict(
     train=dict(
         type='BottomUpCocoDataset',
         ann_file=f'{data_root}/annotations/person_keypoints_train2017.json',
-        img_prefix=f'{data_root}/train2017/',
+        img_prefix=f'{data_root}/images/train2017/',
         data_cfg=data_cfg,
         pipeline=train_pipeline,
         dataset_info={{_base_.dataset_info}}),
     val=dict(
         type='BottomUpCocoDataset',
         ann_file=f'{data_root}/annotations/person_keypoints_val2017.json',
-        img_prefix=f'{data_root}/val2017/',
+        img_prefix=f'{data_root}/images/val2017/',
         data_cfg=data_cfg,
         pipeline=val_pipeline,
         dataset_info={{_base_.dataset_info}}),
     test=dict(
         type='BottomUpCocoDataset',
         ann_file=f'{data_root}/annotations/person_keypoints_val2017.json',
-        img_prefix=f'{data_root}/val2017/',
+        img_prefix=f'{data_root}/images/val2017/',
         data_cfg=data_cfg,
         pipeline=test_pipeline,
         dataset_info={{_base_.dataset_info}}),