diff --git a/model_zoo/official/cv/yolov3_darknet53/README.md b/model_zoo/official/cv/yolov3_darknet53/README.md
index 89d46291b0..7c29311625 100644
--- a/model_zoo/official/cv/yolov3_darknet53/README.md
+++ b/model_zoo/official/cv/yolov3_darknet53/README.md
@@ -56,7 +56,7 @@ Dataset used: [COCO2014](https://cocodataset.org/#download)
 - Hardware（Ascend/GPU）
   - Prepare hardware environment with Ascend or GPU processor. If you want to try Ascend  , please send the [application form](https://obs-9be7.obs.cn-east-2.myhuaweicloud.com/file/other/Ascend%20Model%20Zoo%E4%BD%93%E9%AA%8C%E8%B5%84%E6%BA%90%E7%94%B3%E8%AF%B7%E8%A1%A8.docx) to ascend@huawei.com. Once approved, you can get the resources. 
 - Framework
-  - [MindSpore](http://10.90.67.50/mindspore/archive/20200506/OpenSource/me_vm_x86/)
+  - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
   - [MindSpore tutorials](https://www.mindspore.cn/tutorial/zh-CN/master/index.html) 
   - [MindSpore API](https://www.mindspore.cn/api/zh-CN/master/index.html)
@@ -81,7 +81,7 @@ python train.py \
     --T_max=320 \
     --max_epoch=320 \
     --warmup_epochs=4 \
-    --train_shape=416 \
+    --training_shape=416 \
     --lr_scheduler=cosine_annealing > log.txt 2>&1 &
 
 # standalone training example(1p) by shell script
diff --git a/model_zoo/official/cv/yolov3_darknet53/src/yolo_dataset.py b/model_zoo/official/cv/yolov3_darknet53/src/yolo_dataset.py
index 84e6bd49a1..53793e09a0 100644
--- a/model_zoo/official/cv/yolov3_darknet53/src/yolo_dataset.py
+++ b/model_zoo/official/cv/yolov3_darknet53/src/yolo_dataset.py
@@ -16,6 +16,7 @@
 import os
 
 import multiprocessing
+import cv2
 from PIL import Image
 from pycocotools.coco import COCO
 import mindspore.dataset as de
@@ -143,6 +144,8 @@ class COCOYoloDataset:
 def create_yolo_dataset(image_dir, anno_path, batch_size, max_epoch, device_num, rank,
                         config=None, is_training=True, shuffle=True):
     """Create dataset for YOLOV3."""
+    cv2.setNumThreads(0)
+
     if is_training:
         filter_crowd = True
         remove_empty_anno = True
diff --git a/model_zoo/official/cv/yolov3_darknet53_quant/README.md b/model_zoo/official/cv/yolov3_darknet53_quant/README.md
index 44306cbdcb..c4c714e3db 100644
--- a/model_zoo/official/cv/yolov3_darknet53_quant/README.md
+++ b/model_zoo/official/cv/yolov3_darknet53_quant/README.md
@@ -58,7 +58,7 @@ Dataset used: [COCO2014](https://cocodataset.org/#download)
 - Hardware（Ascend）
   - Prepare hardware environment with Ascend processor. If you want to try Ascend  , please send the [application form](https://obs-9be7.obs.cn-east-2.myhuaweicloud.com/file/other/Ascend%20Model%20Zoo%E4%BD%93%E9%AA%8C%E8%B5%84%E6%BA%90%E7%94%B3%E8%AF%B7%E8%A1%A8.docx) to ascend@huawei.com. Once approved, you can get the resources. 
 - Framework
-  - [MindSpore](http://10.90.67.50/mindspore/archive/20200506/OpenSource/me_vm_x86/)
+  - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
   - [MindSpore tutorials](https://www.mindspore.cn/tutorial/zh-CN/master/index.html) 
   - [MindSpore API](https://www.mindspore.cn/api/zh-CN/master/index.html)