Update README file

README.md

@@ -9,13 +9,24 @@
 ```
     ResNet50-v2
 ```
-## 数据集及模型文件
+## 模型文件
   模型文件下载地址： 
 ```
     "https://github.com/onnx/models/raw/main/vision/classification/resnet/model/resnet50-v2-7.onnx"
 ```
-    
-
+## 数据集
+  python 推理及调优代码使用的图片数据为：
+```
+    "https://s3.amazonaws.com/model-server/inputs/kitten.jpg"
+``` 
+  标签数据为：
+```
+    "https://s3.amazonaws.com/onnx-model-zoo/synset.txt"
+```
+   C++部署代码使用数据为：
+```
+    "https://github.com/ultralytics/yolov5/releases/download/v1.0/coco128.zip"
+```
 ## 推理、自动调优及部署
 ###  环境配置
   拉取镜像：

tune_resnet50-v2.py

@@ -72,7 +72,7 @@ def readimage(pathOfImage,GRAY=False,inputShape=[1,3,128,128]):
 #Download the image data, then convert it to a numpy array to use as an input to the model.
 
 #img_url = "https://s3.amazonaws.com/model-server/inputs/kitten.jpg"
-img_path = "/kittens.jpg"
+img_path = "/kitten.jpg"
 #img_path = download_testdata(img_url, "imagenet_cat.png", module="data")
 network = "resnet50-v2-7"
 dtype = "float32"