diff --git a/Samples/YOLOV5MultiInput/README.md b/Samples/YOLOV5MultiInput/README.md
index 4c3ffe8b7a0e41bbdada9deacf305b9b4201ea13..9719db5302c2709d3883ea00067c030b299f4f67 100644
--- a/Samples/YOLOV5MultiInput/README.md
+++ b/Samples/YOLOV5MultiInput/README.md
@@ -5,6 +5,22 @@
 使用多路离线视频流（*.mp4）作为应用程序的输入，基于YoloV5s模型对输入视频中的物体做实时检测，将推理结果信息使用imshow方式显示。
 样例代码逻辑如下所示：![输入图片说明](https://obs-9be7.obs.cn-east-2.myhuaweicloud.com/samples-pic/EdgeAndRobotics/%E5%A4%9A%E7%BA%BF%E7%A8%8B%E7%A4%BA%E4%BE%8B%E5%9B%BE%E7%89%87.png)
 
+#### 准备环境
+
+1. 以HwHiAiUser用户登录开发板。
+
+2. 设置环境变量。
+
+   ```
+   # 配置程序编译依赖的头文件与库文件路径
+   export DDK_PATH=/usr/local/Ascend/ascend-toolkit/latest 
+   export NPU_HOST_LIB=$DDK_PATH/runtime/lib64/stub
+   ```
+
+3. 安装ACLLite库。
+
+   参考[ACLLite仓](https://gitee.com/ascend/ACLLite)安装ACLLite库。
+
 #### 样例下载
 
 可以使用以下两种方式下载，请选择其中一种进行源码准备。
@@ -32,23 +48,6 @@
   cd EdgeAndRobotics-master/Samples/YOLOV5MultiInput
   ```
 
-#### 准备环境
-
-1. 以HwHiAiUser用户登录开发板。
-
-2. 设置环境变量。
-
-   ```
-   # 配置程序编译依赖的头文件与库文件路径
-   export DDK_PATH=/usr/local/Ascend/ascend-toolkit/latest 
-   export NPU_HOST_LIB=$DDK_PATH/runtime/lib64/stub
-   ```
-
-3. 安装ACLLite库。
-
-   参考[ACLLite仓](https://gitee.com/ascend/ACLLite)安装ACLLite库。
-
-
 #### 运行样例
 
 1. 以HwHiAiUser用户登录开发板，切换到当前样例目录。
diff --git a/Samples/YOLOV5MultiInput/src/main.cpp b/Samples/YOLOV5MultiInput/src/main.cpp
index de9336a086392eb7009c07d709ca5da7a4713798..0f2e5ca466c82dee4502c9f29d0795e2a6a26c36 100644
--- a/Samples/YOLOV5MultiInput/src/main.cpp
+++ b/Samples/YOLOV5MultiInput/src/main.cpp
@@ -188,6 +188,7 @@ void* GetInput(void* arg) {
     LOG_PRINT("[INFO] start to decode...");
     uint32_t frameRate =30;
     uint32_t cnt = 1;
+    int isHost = GetRunMode();
     while(1) {
         ret = cap.Read(frame);
         if (ret) {
@@ -202,7 +203,14 @@ void* GetInput(void* arg) {
                 msgData.ChannelId = cfg.channel;
                 msgData.videoEnd = false;
                 cv::Mat yuv_img(frame.height*1.5, frame.width, CV_8UC1);
-                memcpy(yuv_img.data, (unsigned char*)frame.data.get(), frame.size);
+                if (isHost) {
+                    void* hostDataBuffer = CopyDataToHost(frame.data.get(), frame.size);
+                    memcpy(yuv_img.data, (unsigned char*)hostDataBuffer, frame.size);
+                    FreeHostMem(hostDataBuffer);
+                    hostDataBuffer = nullptr;
+                } else {
+                    memcpy(yuv_img.data, (unsigned char*)frame.data.get(), frame.size);
+                }
                 cv::cvtColor(yuv_img, msgData.srcImg, cv::COLOR_YUV2RGB_NV21);
                 while (1) {
                     if (msgDataQueue.Push(msgData)) {
diff --git a/Samples/YOLOV5USBCamera/README.md b/Samples/YOLOV5USBCamera/README.md
index 98141b581a9d9f748a3b641479607e471cefb23f..21fd02ac58b7fe2a5268b2beae3ba646e6d79397 100644
--- a/Samples/YOLOV5USBCamera/README.md
+++ b/Samples/YOLOV5USBCamera/README.md
@@ -7,6 +7,24 @@
 样例结构如下所示：     
 ![输入图片说明](https://obs-9be7.obs.cn-east-2.myhuaweicloud.com/samples-pic/EdgeAndRobotics/%E5%8D%95%E7%BA%BF%E7%A8%8B%E7%A4%BA%E4%BE%8B%E5%9B%BE%E7%89%87.png)
 
+#### 执行准备
+
+1. 确认已安装带桌面的镜像且HDMI连接的屏幕正常显示
+
+2. 以HwHiAiUser用户登录开发板。
+
+3. 设置环境变量。
+
+   ```
+   # 配置程序编译依赖的头文件与库文件路径
+   export DDK_PATH=/usr/local/Ascend/ascend-toolkit/latest 
+   export NPU_HOST_LIB=$DDK_PATH/runtime/lib64/stub
+   ```
+
+4. 安装ACLLite库。
+
+   参考[ACLLite仓](https://gitee.com/ascend/ACLLite)安装ACLLite库。
+
 #### 样例下载
 
 可以使用以下两种方式下载，请选择其中一种进行源码准备。
@@ -34,27 +52,18 @@
   cd EdgeAndRobotics-master/Samples/YOLOV5USBCamera
   ```
 
-#### 执行准备
-
-1. 确认已安装带桌面的镜像且HDMI连接的屏幕正常显示
+#### 运行样例
 
-2. 以HwHiAiUser用户登录开发板。
+1. 准备测试视频。
 
-3. 设置环境变量。
+   请从以下链接获取该样例的测试视频，放在data目录下。
 
    ```
-   # 配置程序编译依赖的头文件与库文件路径
-   export DDK_PATH=/usr/local/Ascend/ascend-toolkit/latest 
-   export NPU_HOST_LIB=$DDK_PATH/runtime/lib64/stub
+   cd ../data
+   wget https://obs-9be7.obs.cn-east-2.myhuaweicloud.com/003_Atc_Models/yolov5s/test.mp4 --no-check-certificate
    ```
 
-4. 安装ACLLite库。
-
-   参考[ACLLite仓](https://gitee.com/ascend/ACLLite)安装ACLLite库。
-
-#### 运行样例
-
-1. 以HwHiAiUser用户登录开发板，切换到当前样例目录。
+   **注：**若需更换测试视频，则需自行准备测试视频，并将测试视频放到data目录下。
 
 2. 获取PyTorch框架的Yolov5模型（\*.onnx），并转换为昇腾AI处理器能识别的模型（\*.om）。
    - 当设备内存**小于8G**时，可设置如下两个环境变量减少atc模型转换过程中使用的进程数，减小内存占用。
diff --git a/Samples/YOLOV5USBCamera/data/.keep b/Samples/YOLOV5USBCamera/data/.keep
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Samples/YOLOV5USBCamera/src/main.cpp b/Samples/YOLOV5USBCamera/src/main.cpp
index 8347a9b7eea1b023d150e3dbbf4eb8929d8ed209..e36acd84c31c2cbeb4e1dc9d83d16df4321845bc 100644
--- a/Samples/YOLOV5USBCamera/src/main.cpp
+++ b/Samples/YOLOV5USBCamera/src/main.cpp
@@ -13,6 +13,7 @@
 #include "acllite_dvpp_lite/ImageProc.h"
 #include "acllite_om_execute/ModelProc.h"
 #include "acllite_media/CameraRead.h"
+#include "acllite_dvpp_lite/VideoRead.h"
 #include "acllite_common/Queue.h"
 #include "label.h"
 
@@ -178,6 +179,62 @@ void GetResult(std::vector<InferenceOutput>& inferOutputs,
     return;
 }
 
+void* GetInputVideo(void* arg) {
+    bool ret = SetCurContext(context);
+    CHECK_RET(ret, LOG_PRINT("[ERROR] set cur context for pthread  %ld failed.", pthread_self()); return NULL);
+    int32_t deviceId = *(int32_t *)arg;    
+    string videoPath = "../data/test.mp4";
+    VideoRead cap(videoPath, deviceId);
+    CHECK_RET(cap.IsOpened(), LOG_PRINT("[ERROR] open %s failed.", videoPath.c_str()); return NULL);
+
+    ImageProc imageProcess;
+    ImageData frame;
+    ImageSize modelSize(modelWidth, modelHeight);
+    int isHost = GetRunMode();
+    LOG_PRINT("[INFO] start to decode...");
+    while(1) {
+        ret = cap.Read(frame);
+        if (ret) {
+            ImageData dst;
+            imageProcess.Resize(frame, dst, modelSize, RESIZE_PROPORTIONAL_UPPER_LEFT);
+            MsgData msgData;
+            msgData.data = dst.data;
+            msgData.size = dst.size;
+            msgData.videoEnd = false;
+            cv::Mat yuyvImg(frame.height*1.5, frame.width, CV_8UC1);
+            if (isHost) {
+                    void* hostDataBuffer = CopyDataToHost(frame.data.get(), frame.size);
+                    memcpy(yuyvImg.data, (unsigned char*)hostDataBuffer, frame.size);
+                    FreeHostMem(hostDataBuffer);
+                    hostDataBuffer = nullptr;
+                } else {
+                    memcpy(yuyvImg.data, (unsigned char*)frame.data.get(), frame.size);
+                }
+            cv::cvtColor(yuyvImg, msgData.srcImg, cv::COLOR_YUV2RGB_NV21);
+            while (1) {
+                if (msgDataQueue.Push(msgData)) {
+                    break;
+                }
+                usleep(100);
+            }
+        } else {
+            LOG_PRINT("[INFO] frame read end.");
+            break;
+        }
+    }
+    cap.Release();
+    MsgData msgData;
+    msgData.videoEnd = true;
+    while (1) {
+        if (msgDataQueue.Push(msgData)) {
+            break;
+        }
+        usleep(100);
+    }
+    LOG_PRINT("[INFO] preprocess add end msgData. tid : %ld", pthread_self());
+    return NULL;
+}
+
 void* GetInput(void* arg) {
     bool ret = SetCurContext(context);
     CHECK_RET(ret, LOG_PRINT("[ERROR] set cur context for pthread  %ld failed.", pthread_self()); return NULL);
@@ -292,7 +349,11 @@ int main() {
     context = aclResource.GetContext();    
  
     pthread_t preTids, exeTids, posTids;
+    // run usb camera:
     pthread_create(&preTids, NULL, GetInput, (void*)&deviceId);
+    // run mp4 video:
+    // pthread_create(&preTids, NULL, GetInputVideo, (void*)&deviceId);
+
     pthread_create(&exeTids, NULL, ModelExecute, NULL);
     pthread_create(&posTids, NULL, PostProcess, NULL);