diff --git a/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/Dockerfile b/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/Dockerfile
index 6076e6fcde50a005f94e3d57f1c03ec2d7b448aa..0dd97d97fd08921d2ac594e511efce5c452e4b79 100644
--- a/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/Dockerfile
+++ b/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/Dockerfile
@@ -1,9 +1,7 @@
 ARG FROM_IMAGE_NAME=ascend-tensorflow-arm:20.1.0
 FROM ${FROM_IMAGE_NAME}
-
+USER root
 RUN apt -y install libgl1-mesa-glx
 
 COPY requirements.txt .
 RUN pip3.7 install -r requirements.txt
-
-RUN ln -s /usr/bin/python3.7 /usr/bin/python3
\ No newline at end of file
diff --git a/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/docker_start.sh b/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/docker_start.sh
index e99bbe7685ba6f302f694e54a5d15ebe0f1c6b08..949698ab8238841d4b1d1adef4cf6387b0642e2f 100644
--- a/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/docker_start.sh
+++ b/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/docker_start.sh
@@ -1,5 +1,19 @@
 #!/bin/bash
 
+#Copyright 2022 Huawei Technologies Co., Ltd
+
+#Licensed under the Apache License, Version 2.0 (the "License");
+#you may not use this file except in compliance with the License.
+#You may obtain a copy of the License at
+
+#http://www.apache.org/licenses/LICENSE-2.0
+
+#Unless required by applicable law or agreed to in writing, software
+#distributed under the License is distributed on an "AS IS" BASIS,
+#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#See the License for the specific language governing permissions and
+#limitations under the License.
+
 docker_image=$1
 data_dir=$2
 model_dir=$3
diff --git a/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/infer/docker_start_infer.sh b/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/infer/docker_start_infer.sh
index 72889067a499eb55e93cac635d4b00454799524a..69f4fbbf409fdef7a78bc6c3a6d484f93bdec952 100644
--- a/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/infer/docker_start_infer.sh
+++ b/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/infer/docker_start_infer.sh
@@ -38,7 +38,7 @@ function param_check() {
 
 param_check
 
-docker run -it \
+docker run -it -u root \
   --device=/dev/davinci0 \
   --device=/dev/davinci_manager \
   --device=/dev/devmm_svm \
diff --git a/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/modelarts/args_modelarts_multi.py b/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/modelarts/args_modelarts_multi.py
index 2d7d2032f135a8f9330f61eeffd7f99ff50d093a..7ae30ea0cbadcb0115bad2844c437896d8996223 100644
--- a/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/modelarts/args_modelarts_multi.py
+++ b/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/modelarts/args_modelarts_multi.py
@@ -45,7 +45,7 @@ if not os.path.exists(save_dir):
 if not os.path.exists(log_dir):
     os.makedirs(log_dir)
 
-work_path = '/cache/user-job-dir/YoloV3_for_TensorFlow'
+work_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), "../")
 
 ### Some paths
 train_file =        os.path.join(work_path, './modelarts/coco2014_trainval_modelarts.txt')  # The path of the training txt file.
diff --git a/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/modelarts/args_modelarts_single.py b/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/modelarts/args_modelarts_single.py
index 3cf9c95680169187bfb77d8251d09177f4173576..7f5d4bd356c4835bdfaeda5be64088b23627a90f 100644
--- a/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/modelarts/args_modelarts_single.py
+++ b/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/modelarts/args_modelarts_single.py
@@ -45,7 +45,7 @@ if not os.path.exists(save_dir):
 if not os.path.exists(log_dir):
     os.makedirs(log_dir)
 
-work_path = '/cache/user-job-dir/YoloV3_for_TensorFlow'
+work_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), "../")
 
 ### Some paths
 train_file =        os.path.join(work_path, './modelarts/coco2014_trainval_modelarts.txt')  # The path of the training txt file.
diff --git a/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/test/train_performance_1p.sh b/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/test/train_performance_1p.sh
index 714d7a8b5ddbaa3291cebf414bbff110e202a79f..f53b38fd403fdb34ae12da25b8c37db90eca7f48 100644
--- a/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/test/train_performance_1p.sh
+++ b/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/test/train_performance_1p.sh
@@ -135,6 +135,7 @@ do
         --mode single \
 		--data_url $data_path/coco \
 		--train_url ${cur_path}/output/$ASCEND_DEVICE_ID/ckpt \
+		    --total_epoches 1 \
         --over_dump ${over_dump} \
         --over_dump_path ${over_dump_path} \
 		> ${cur_path}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
diff --git a/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/train.py b/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/train.py
index 9fdc9b34e8a921e006f19e303db69325e84fe114..2348373849d32bebe03a546faeb4c475cd495c5a 100644
--- a/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/train.py
+++ b/TensorFlow/built-in/cv/detection/YoloV3_ID0076_for_TensorFlow/train.py
@@ -71,7 +71,8 @@ parser.add_argument("--save_dir", default='./training/',
                     help="path of ckpt.")
 parser.add_argument("--batch_size", type=int, default=16,
                     help="batchsize.")
-
+parser.add_argument("--total_epoches", type=int, default=200,
+                    help="epoches of train.")
 # modify for npu overflow start
 # enable overflow
 parser.add_argument("--over_dump", type=str, default="False",
@@ -108,7 +109,8 @@ if args_input.save_dir:
     args.save_dir = args_input.save_dir
 if args_input.batch_size:
     args.batch_size = args_input.batch_size
-
+if args_input.total_epoches:
+    args.total_epoches = args_input.total_epoches
 print('setting train mode %s.' % args_input.mode)
 
 # setting loggers