diff --git a/ACL_PyTorch/contrib/cv/detection/BSN/BSN_pem_postprocess.py b/ACL_PyTorch/contrib/cv/detection/BSN/BSN_pem_postprocess.py
index 74d8372c907ef3f05567680feeee7fe99e00889c..ed9b16d775028f3017a309bde789d14d031b6cc7 100644
--- a/ACL_PyTorch/contrib/cv/detection/BSN/BSN_pem_postprocess.py
+++ b/ACL_PyTorch/contrib/cv/detection/BSN/BSN_pem_postprocess.py
@@ -153,6 +153,7 @@ if __name__ == '__main__':
     if not os.path.exists("output/PEM_results"):
             os.makedirs("output/PEM_results") 
     out_files = os.listdir(args.PEM_out_path)
+    print("processing...")
     for i in range(len(out_files)):
         video_name = str(out_files[i])
         video_name = video_name[0:int(len(video_name)-6)]
@@ -184,5 +185,6 @@ if __name__ == '__main__':
         df["xmax_score"]=video_xmax_score
         df["iou_score"]=video_data       
         df.to_csv(args.result_path+'/'+video_name+".csv",index=False)
-        
-    BSN_post_processing()
\ No newline at end of file
+    print("PGM: start generating BSN_post feature")   
+    BSN_post_processing()
+    print("PGM: finish generate BSN_post feature")
\ No newline at end of file
diff --git a/ACL_PyTorch/contrib/cv/detection/BSN/BSN_pem_preprocess.py b/ACL_PyTorch/contrib/cv/detection/BSN/BSN_pem_preprocess.py
index e0119ccf080d2866dac7a5ed093badf28a153304..04d12cd6ad285a4aa95b8a388c980ee2161dfeea 100644
--- a/ACL_PyTorch/contrib/cv/detection/BSN/BSN_pem_preprocess.py
+++ b/ACL_PyTorch/contrib/cv/detection/BSN/BSN_pem_preprocess.py
@@ -68,6 +68,7 @@ if __name__ == '__main__':
     video_list = list(video_dict.keys())
     print("%s subset video numbers: %d" %(subset,len(video_list)))
     
+    print("processing...")
     for i in range(len(video_list)):
         video_name = video_list[i]
         pdf=pandas.read_csv(pgm_proposals_path+video_name+".csv")
diff --git a/ACL_PyTorch/contrib/cv/detection/BSN/BSN_tem_postprocess.py b/ACL_PyTorch/contrib/cv/detection/BSN/BSN_tem_postprocess.py
index abd506c1e97d6cabec8d1635a25ead1a820afb24..0c4eb2b17719f79eb02a5239f72212c4d625a0fc 100644
--- a/ACL_PyTorch/contrib/cv/detection/BSN/BSN_tem_postprocess.py
+++ b/ACL_PyTorch/contrib/cv/detection/BSN/BSN_tem_postprocess.py
@@ -275,6 +275,7 @@ if __name__ == '__main__':
     out_files = os.listdir(args.TEM_out_path)
     if not os.path.exists("output/TEM_results"):
             os.makedirs("output/TEM_results") 
+    print("processing...")
     for i in range(len(out_files)):
         video_name = str(out_files[i])
         video_name = video_name[0:int(len(video_name)-6)]
@@ -300,13 +301,13 @@ if __name__ == '__main__':
       
     if not os.path.exists("output/PGM_proposals"):
         os.makedirs("output/PGM_proposals") 
-    print("PGM: start generate proposals")
+    print("PGM: start generating proposals")
     PGM_proposal_generation()
     print("PGM: finish generate proposals")
         
     if not os.path.exists("output/PGM_feature"):
         os.makedirs("output/PGM_feature") 
-    print("PGM: start generate BSP feature")
+    print("PGM: start generating BSP feature")
     PGM_feature_generation()
     print("PGM: finish generate BSP feature")
         
\ No newline at end of file
diff --git a/ACL_PyTorch/contrib/cv/detection/BSN/BSN_tem_preprocess.py b/ACL_PyTorch/contrib/cv/detection/BSN/BSN_tem_preprocess.py
index f516327076df4847a0f3c50b1b4fe74959078ef2..b6639216bfd21201bdb0ceb2cef1d6acdd68467b 100644
--- a/ACL_PyTorch/contrib/cv/detection/BSN/BSN_tem_preprocess.py
+++ b/ACL_PyTorch/contrib/cv/detection/BSN/BSN_tem_preprocess.py
@@ -53,6 +53,7 @@ if __name__ == '__main__':
     video_list = list(video_dict.keys())
     print("%s subset video numbers: %d" %(subset,len(video_list)))
     
+    print("processing...")
     for i in range(len(video_list)):
         video_name=video_list[i]
         anchor_xmin=[temporal_gap*i for i in range(temporal_scale)]
diff --git a/ACL_PyTorch/contrib/cv/detection/BSN/README.md b/ACL_PyTorch/contrib/cv/detection/BSN/README.md
index 44d20bc484eedac49396fac500defe4df51d1da0..66ee1c7705d2d51a3542015f126bd6ed6f982786 100644
--- a/ACL_PyTorch/contrib/cv/detection/BSN/README.md
+++ b/ACL_PyTorch/contrib/cv/detection/BSN/README.md
@@ -127,9 +127,9 @@ export LD_LIBRARY_PATH=${install_path}/atc/lib64:${install_path}/acllib/lib64:$L
 export ASCEND_OPP_PATH=${install_path}/opp
 export ASCEND_AICPU_PATH=/usr/local/Ascend/ascend-toolkit/latest
 
-atc --framework=5 --model=BSN_tem1.onnx --output=BSN_tem_bs1 --input_format=NCHW --input_shape="video:1,400,100" --log=debug --soc_version=Ascend310
+atc --framework=5 --model=BSN_tem1.onnx --output=BSN_tem_bs1 --input_format=ND --input_shape="video:1,400,100" --log=debug --soc_version=Ascend310
 
-atc --framework=5 --model=BSN_pem.onnx --output=BSN_pem_bs1 --input_format=NCHW --input_shape="video_feature:1,1000,32" --log=debug --soc_version=Ascend310
+atc --framework=5 --model=BSN_pem.onnx --output=BSN_pem_bs1 --input_format=ND --input_shape="video_feature:1,1000,32" --log=debug --soc_version=Ascend310
 ```
 
 
@@ -154,17 +154,17 @@ python gen_dataset_info.py tem /home/wch/BSN/BSN-TEM-preprocess/feature TEM-vide
 ./benchmark.x86_64 -model_type=vision -device_id=0 -batch_size=1 -om_path=BSN_tem_bs1.om -input_text_path=./TEM-video-feature.info -input_width=400 -input_height=100 -output_binary=True -useDvpp=False
 ```
 
-使用BSN_tem_postprocess.py进行tem后处理
+使用BSN_tem_postprocess.py进行tem后处理(tem的后处理与pem的前处理有关请按照顺序执行)
 
 ```
-python BSN_tem_postprocess.py
+python BSN_tem_postprocess.py  --TEM_out_path ./result/dumpOutput_device0
 ```
 
 
 
 4、PEM推理
 
-运行pem预处理脚本
+运行pem预处理脚本(pem的前处理与tem的后处理有关请按照顺序执行)
 
 ```
 python BSN_pem_preprocess.py
@@ -185,7 +185,7 @@ python get_info.py pem output/BSN-PEM-preprocess/feature PEM-video-feature 1000
 运行后处理脚本,会在output目录下生成结果文件
 
 ```
-python BSN_pem_postprocess.py
+python BSN_pem_postprocess.py --PEM_out_path result/dumpOutput_device1
 ```
 
 
diff --git a/ACL_PyTorch/contrib/cv/detection/BSN/test/pth2om.sh b/ACL_PyTorch/contrib/cv/detection/BSN/test/pth2om.sh
index 6fb82fb89bdf53f171b50b40e400c94c554646cb..8e0757cd7f4b577c4efcae0baf424e1e4053b7d7 100644
--- a/ACL_PyTorch/contrib/cv/detection/BSN/test/pth2om.sh
+++ b/ACL_PyTorch/contrib/cv/detection/BSN/test/pth2om.sh
@@ -36,7 +36,7 @@ export ASCEND_SLOG_PRINT_TO_STDOUT=1
 
 echo "====TEM onnx2om bs1===="
 
-atc --framework=5 --model=BSN_tem1.onnx --output=BSN_tem_bs1 --input_format=NCHW --input_shape="video:1,400,100" --log=debug --soc_version=Ascend310
+atc --framework=5 --model=BSN_tem1.onnx --output=BSN_tem_bs1 --input_format=ND --input_shape="video:1,400,100" --log=debug --soc_version=Ascend310
 if [ $? != 0 ]; then
     echo "fail!"
     exit -1
@@ -44,7 +44,7 @@ fi
 echo "====TPM onnx2om bs1 finished===="
 echo "====TEM onnx2om bs16===="
 
-atc --framework=5 --model=BSN_tem1.onnx --output=BSN_tem_bs16 --input_format=NCHW --input_shape="video:16,400,100" --log=debug --soc_version=Ascend310
+atc --framework=5 --model=BSN_tem1.onnx --output=BSN_tem_bs16 --input_format=ND--input_shape="video:16,400,100" --log=debug --soc_version=Ascend310
 if [ $? != 0 ]; then
     echo "fail!"
     exit -1
@@ -53,7 +53,7 @@ echo "====TPM onnx2om bs16 finished===="
 
 echo "====PEM onnx2om bs1===="
 
-atc --framework=5 --model=BSN_pem.onnx --output=BSN_pem_bs1 --input_format=NCHW --input_shape="video_feature:1,1000,32" --log=debug --soc_version=Ascend310
+atc --framework=5 --model=BSN_pem.onnx --output=BSN_pem_bs1 --input_format=ND --input_shape="video_feature:1,1000,32" --log=debug --soc_version=Ascend310
 if [ $? != 0 ]; then
     echo "fail!"
     exit -1
@@ -61,7 +61,7 @@ fi
 echo "====PPM onnx2om bs1 finished===="
 echo "====PEM onnx2om bs16===="
 
-atc --framework=5 --model=BSN_pem.onnx --output=BSN_pem_bs16 --input_format=NCHW --input_shape="video_feature:16,1000,32" --log=debug --soc_version=Ascend310
+atc --framework=5 --model=BSN_pem.onnx --output=BSN_pem_bs16 --input_format=ND --input_shape="video_feature:16,1000,32" --log=debug --soc_version=Ascend310
 if [ $? != 0 ]; then
     echo "fail!"
     exit -1