diff --git a/PyTorch/contrib/cv/semantic_segmentation/MedSAM_for_PyTorch/README.md b/PyTorch/contrib/cv/semantic_segmentation/MedSAM_for_PyTorch/README.md
index dedf12cb46d7bb884553c74fa7926b3046587825..ca1c2f02a924a3f849d8c0617eace69d76b206d4 100644
--- a/PyTorch/contrib/cv/semantic_segmentation/MedSAM_for_PyTorch/README.md
+++ b/PyTorch/contrib/cv/semantic_segmentation/MedSAM_for_PyTorch/README.md
@@ -28,7 +28,7 @@
 
   ```
   url=https://gitee.com/ascend/ModelZoo-PyTorch.git
-  code_path=PyTorch/contrib/cv/semantic_segmentation/
+  code_path=PyTorch/contrib/cv/semantic_segmentation/MedSAM_for_PyTorch
   ```
 
 # 准备训练环境
@@ -155,11 +155,11 @@
 
     ```shell
     # 原始的SAM模型权重路径
-    sam_ckpt_path = "../models/sam_vit_l_0b3195.pth"
+    sam_ckpt_path = "./models/sam_vit_l_0b3195.pth"
     # 训练好的MedSAM模型权重路径
     medsam_ckpt_path = "workdir/MedSAM-ViT-L-20230912-1734/medsam_model_latest.pth"
     # 转换后输出的模型权重路径
-    save_path = "../models/medsam_vit_l_train.pth"
+    save_path = "./models/medsam_vit_l_train.pth"
     ```
     然后执行转换脚本得到转换后的模型：
     ```shell
diff --git a/PyTorch/contrib/cv/semantic_segmentation/MedSAM_for_PyTorch/eval_multi_npus.sh b/PyTorch/contrib/cv/semantic_segmentation/MedSAM_for_PyTorch/eval_multi_npus.sh
index 375e3c3e47beb5884b53e1447e0499eba7102302..c259804e33c56a70aa7d287f220f17a74b910032 100644
--- a/PyTorch/contrib/cv/semantic_segmentation/MedSAM_for_PyTorch/eval_multi_npus.sh
+++ b/PyTorch/contrib/cv/semantic_segmentation/MedSAM_for_PyTorch/eval_multi_npus.sh
@@ -11,8 +11,8 @@ MASTER_PORT=6789
 python eval_multi_npus.py \
     --task_name "${TASK}" \
     --model_type vit_b \
-    --data_path ../datasets/npy/CT_Abd \
-    --checkpoint ../models/sam_vit_b_01ec64.pth \
+    --data_path ./datasets/npy/CT_Abd \
+    --checkpoint ./models/sam_vit_b_01ec64.pth \
     --work_dir ./work_dir \
     --num_workers 8 \
     --nnodes "${NNODES}" \
diff --git a/PyTorch/contrib/cv/semantic_segmentation/MedSAM_for_PyTorch/requirements.txt b/PyTorch/contrib/cv/semantic_segmentation/MedSAM_for_PyTorch/requirements.txt
index dc1088606a87380e9e55aaa7d729a2bd8957d2b5..229342c8deae518c27dbc7525a3623b712c7eda8 100644
--- a/PyTorch/contrib/cv/semantic_segmentation/MedSAM_for_PyTorch/requirements.txt
+++ b/PyTorch/contrib/cv/semantic_segmentation/MedSAM_for_PyTorch/requirements.txt
@@ -1,4 +1,4 @@
-torchvision
+torchvision==0.15.2
 opencv-python
 pycocotools
 matplotlib
diff --git a/PyTorch/contrib/cv/semantic_segmentation/MedSAM_for_PyTorch/train_multi_npus.sh b/PyTorch/contrib/cv/semantic_segmentation/MedSAM_for_PyTorch/train_multi_npus.sh
index 6e7fe29fccaa0911617a85544fa22254cb31b8ac..f2c6c08112ca1752ef1e7cb116d9de29dd250b46 100644
--- a/PyTorch/contrib/cv/semantic_segmentation/MedSAM_for_PyTorch/train_multi_npus.sh
+++ b/PyTorch/contrib/cv/semantic_segmentation/MedSAM_for_PyTorch/train_multi_npus.sh
@@ -11,8 +11,8 @@ MASTER_PORT=6789
 python train_multi_npus.py \
     --task_name "${TASK}" \
     --model_type vit_b \
-    --tr_npy_path ../datasets/npy/CT_Abd \
-    --checkpoint ../models/sam_vit_b_01ec64.pth \
+    --tr_npy_path ./data/npy/CT_Abd \
+    --checkpoint ./models/sam_vit_b_01ec64.pth \
     --work_dir ./work_dir \
     --num_epochs 100 \
     --batch_size 4 \