From 009123a42d371cc8a39f9612c5ac06856ccb0828 Mon Sep 17 00:00:00 2001
From: "@j0168" <2359577040@qq.com>
Date: Mon, 10 Feb 2025 19:57:38 +0800
Subject: [PATCH 1/8] readme modify

---
 tutorials/ImageDetectionSample/C++/run.sh     | 25 ------
 .../{C++ => cpp}/CMakeLists.txt               |  0
 .../{C++ => cpp}/README.md                    | 65 +++------------
 .../{C++ => cpp}/main.cpp                     |  0
 .../model/aipp_yolov3_416_416.aippconfig      |  0
 .../ImageDetectionSample/cpp/model/coco.names | 81 +++++++++++++++++++
 .../{C++ => cpp}/model/yolov3_tf_bs1_fp16.cfg |  0
 tutorials/ImageDetectionSample/cpp/run.sh     |  7 ++
 .../{C++ => cpp}/test.pipeline                |  6 +-
 9 files changed, 100 insertions(+), 84 deletions(-)
 delete mode 100644 tutorials/ImageDetectionSample/C++/run.sh
 rename tutorials/ImageDetectionSample/{C++ => cpp}/CMakeLists.txt (100%)
 rename tutorials/ImageDetectionSample/{C++ => cpp}/README.md (53%)
 rename tutorials/ImageDetectionSample/{C++ => cpp}/main.cpp (100%)
 rename tutorials/ImageDetectionSample/{C++ => cpp}/model/aipp_yolov3_416_416.aippconfig (100%)
 create mode 100644 tutorials/ImageDetectionSample/cpp/model/coco.names
 rename tutorials/ImageDetectionSample/{C++ => cpp}/model/yolov3_tf_bs1_fp16.cfg (100%)
 create mode 100644 tutorials/ImageDetectionSample/cpp/run.sh
 rename tutorials/ImageDetectionSample/{C++ => cpp}/test.pipeline (87%)

diff --git a/tutorials/ImageDetectionSample/C++/run.sh b/tutorials/ImageDetectionSample/C++/run.sh
deleted file mode 100644
index 0b5a7f01a..000000000
--- a/tutorials/ImageDetectionSample/C++/run.sh
+++ /dev/null
@@ -1,25 +0,0 @@
-#!/bin/bash
-
-# Copyright(C) Huawei Technologies Co.,Ltd. 2012-2021 All rights reserved.
-#
-# 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.
-
-CUR_PATH=$(cd "$(dirname "$0")"; pwd)
-
-echo $CUR_PATH
-
-export LD_LIBRARY_PATH="${MX_SDK_HOME}/lib":"${MX_SDK_HOME}/opensource/lib":"${MX_SDK_HOME}/opensource/lib64":"/usr/local/Ascend/ascend-toolkit/latest/acllib/lib64":"/usr/local/Ascend/driver/lib64/ ":${LD_LIBRARY_PATH}
-export GST_PLUGIN_SCANNER="${MX_SDK_HOME}/opensource/libexec/gstreamer-1.0/gst-plugin-scanner"
-export GST_PLUGIN_PATH="${MX_SDK_HOME}/opensource/lib/gstreamer-1.0":"${MX_SDK_HOME}/lib/plugins"
-
-./sample
\ No newline at end of file
diff --git a/tutorials/ImageDetectionSample/C++/CMakeLists.txt b/tutorials/ImageDetectionSample/cpp/CMakeLists.txt
similarity index 100%
rename from tutorials/ImageDetectionSample/C++/CMakeLists.txt
rename to tutorials/ImageDetectionSample/cpp/CMakeLists.txt
diff --git a/tutorials/ImageDetectionSample/C++/README.md b/tutorials/ImageDetectionSample/cpp/README.md
similarity index 53%
rename from tutorials/ImageDetectionSample/C++/README.md
rename to tutorials/ImageDetectionSample/cpp/README.md
index ca3c30780..a768362e1 100644
--- a/tutorials/ImageDetectionSample/C++/README.md
+++ b/tutorials/ImageDetectionSample/cpp/README.md
@@ -21,38 +21,27 @@
 ## 2 设置环境变量
 
 ```bash
-#设置CANN环境变量
-. ${install_path}/set_env.sh
+#设置CANN环境变量，cann_install_path为CANN安装路径
+. ${cann_install_path}/set_env.sh
 
-#设置Vision SDK 环境变量，SDK-path为Vision SDK 安装路径
-. ${SDK-path}/set_env.sh
+#设置Vision SDK 环境变量，sdk_install_path为Vision SDK 安装路径
+. ${sdk_install_path}/set_env.sh
 ```
 
 ## 3 准备模型
 
-**步骤1** 在ModelZoo上下载YOLOv3模型。[下载地址](https://gitee.com/link?target=https%3A%2F%2Fobs-9be7.obs.cn-east-2.myhuaweicloud.com%2F003_Atc_Models%2Fmodelzoo%2Fyolov3_tf.pb)
+**步骤1** 下载YOLOv3模型。[下载地址](https://gitee.com/link?target=https%3A%2F%2Fobs-9be7.obs.cn-east-2.myhuaweicloud.com%2F003_Atc_Models%2Fmodelzoo%2Fyolov3_tf.pb)
 
 **步骤2** 将获取到的YOLOv3模型文件内的.pb文件存放至`ImageDetectionSample/C++/model/`下。
 
 **步骤3** 使用ATC执行模型转换
 
-因为ATC在识别`--model`路径时无法识别`/C++/`中的`+`, 因此建议先通过执行下面的指令先将路径更改为`/C/`:
+在`ImageDetectionSample/cpp/model/`目录下执行以下命令
 
-在`ImageDetectionSample/`下执行
 ```bash
-mv ./C++ ./C
-```
-
-在`C/model/`目录下执行以下命令
-
-```bash
-# 执行，转换YOLOv3模型
-# Execute, transform YOLOv3 model.
-
 atc --model=./yolov3_tf.pb --framework=3 --output=./yolov3_tf_bs1_fp16 --soc_version=Ascend310P3 --insert_op_conf=./aipp_yolov3_416_416.aippconfig --input_shape="input:1,416,416,3" --out_nodes="yolov3/yolov3_head/Conv_6/BiasAdd:0;yolov3/yolov3_head/Conv_14/BiasAdd:0;yolov3/yolov3_head/Conv_22/BiasAdd:0"
-# 说明：out_nodes制定了输出节点的顺序，需要与模型后处理适配。
 ```
-执行完模型转换脚本后，在`model/`目录下会生成相应的`yolov3_tf_bs1_fp16.om`模型文件。执行后终端输出为：
+执行后终端输出为：
 ```bash
 ATC start working now, please wait for a moment.
 ATC run success, welcome to the next use.
@@ -61,45 +50,9 @@ ATC run success, welcome to the next use.
 
 ## 4 编译与运行
 
-**步骤1：** 准备一张待检测图片，放到项目目录下命名为`test.jpg`。
-
-**步骤2：** 修改项目c++目录下的配置文件`./test.pipeline`：
-
-1. 在第32行 配置mxpi_tensorinfer插件的模型加载路径`modelPath`:
-```bash 
-29  "mxpi_tensorinfer0": {
-30              "props": {
-31                  "dataSource": "mxpi_imageresize0",
-32                  "modelPath": "${yolov3_tf_bs1_fp16.om模型路径}"
-33              },
-34              "factory": "mxpi_tensorinfer",
-35              "next": "mxpi_objectpostprocessor0"
-36        },
-```
-
-
-2. 在第41和42行 配置模型后处理插件mxpi_objectpostprocessor，添加`coco.names`与 `libyolov3postprocess.so`路径:
-
-- 通过命令查找到文件`coco.names`路径：
-```bash
-find / -name coco.names
-```
-
-- `postProcessLibPath`的后处理库路径，路径根据SDK安装路径决定，可以通过`find / -name libyolov3postprocess.so`搜索路径。
-```bash
-37  "mxpi_objectpostprocessor0": {
-38              "props": {
-39                  "dataSource": "mxpi_tensorinfer0",
-40                  "postProcessConfigPath": "model/yolov3_tf_bs1_fp16.cfg",
-41                  "labelPath": "${coco.names文件路径}",
-42                  "postProcessLibPath": "${libyolov3postprocess.so路径}"
-43              },
-44              "factory": "mxpi_objectpostprocessor",
-45              "next": "appsink0"
-46          },
-```
+**步骤1：** 准备一张待检测图片，放到项目根目录下命名为`test.jpg`。
 
-**步骤3：** 编译项目文件
+**步骤2：** 编译项目文件
 
 
 在项目的c++目录下，新建立build目录，进入build执行cmake ..（..代表包含CMakeLists.txt的源文件父目录），在build目录下生成了编译需要的Makefile和中间文件。执行make构建工程，构建成功后就会生成可执行文件。
diff --git a/tutorials/ImageDetectionSample/C++/main.cpp b/tutorials/ImageDetectionSample/cpp/main.cpp
similarity index 100%
rename from tutorials/ImageDetectionSample/C++/main.cpp
rename to tutorials/ImageDetectionSample/cpp/main.cpp
diff --git a/tutorials/ImageDetectionSample/C++/model/aipp_yolov3_416_416.aippconfig b/tutorials/ImageDetectionSample/cpp/model/aipp_yolov3_416_416.aippconfig
similarity index 100%
rename from tutorials/ImageDetectionSample/C++/model/aipp_yolov3_416_416.aippconfig
rename to tutorials/ImageDetectionSample/cpp/model/aipp_yolov3_416_416.aippconfig
diff --git a/tutorials/ImageDetectionSample/cpp/model/coco.names b/tutorials/ImageDetectionSample/cpp/model/coco.names
new file mode 100644
index 000000000..1db41f581
--- /dev/null
+++ b/tutorials/ImageDetectionSample/cpp/model/coco.names
@@ -0,0 +1,81 @@
+# This file is originally from https://github.com/pjreddie/darknet/blob/master/data/coco.names
+person
+bicycle
+car
+motorbike
+aeroplane
+bus
+train
+truck
+boat
+traffic light
+fire hydrant
+stop sign
+parking meter
+bench
+bird
+cat
+dog
+horse
+sheep
+cow
+elephant
+bear
+zebra
+giraffe
+backpack
+umbrella
+handbag
+tie
+suitcase
+frisbee
+skis
+snowboard
+sports ball
+kite
+baseball bat
+baseball glove
+skateboard
+surfboard
+tennis racket
+bottle
+wine glass
+cup
+fork
+knife
+spoon
+bowl
+banana
+apple
+sandwich
+orange
+broccoli
+carrot
+hot dog
+pizza
+donut
+cake
+chair
+sofa
+pottedplant
+bed
+diningtable
+toilet
+tvmonitor
+laptop
+mouse
+remote
+keyboard
+cell phone
+microwave
+oven
+toaster
+sink
+refrigerator
+book
+clock
+vase
+scissors
+teddy bear
+hair drier
+toothbrush
diff --git a/tutorials/ImageDetectionSample/C++/model/yolov3_tf_bs1_fp16.cfg b/tutorials/ImageDetectionSample/cpp/model/yolov3_tf_bs1_fp16.cfg
similarity index 100%
rename from tutorials/ImageDetectionSample/C++/model/yolov3_tf_bs1_fp16.cfg
rename to tutorials/ImageDetectionSample/cpp/model/yolov3_tf_bs1_fp16.cfg
diff --git a/tutorials/ImageDetectionSample/cpp/run.sh b/tutorials/ImageDetectionSample/cpp/run.sh
new file mode 100644
index 000000000..ed31ca0eb
--- /dev/null
+++ b/tutorials/ImageDetectionSample/cpp/run.sh
@@ -0,0 +1,7 @@
+rm -rf build
+mkdir build
+cd build
+cmake ..
+make -j
+cd ..
+./sample
\ No newline at end of file
diff --git a/tutorials/ImageDetectionSample/C++/test.pipeline b/tutorials/ImageDetectionSample/cpp/test.pipeline
similarity index 87%
rename from tutorials/ImageDetectionSample/C++/test.pipeline
rename to tutorials/ImageDetectionSample/cpp/test.pipeline
index 2d8fc780b..a9e0cbc0b 100644
--- a/tutorials/ImageDetectionSample/C++/test.pipeline
+++ b/tutorials/ImageDetectionSample/cpp/test.pipeline
@@ -29,7 +29,7 @@
         "mxpi_tensorinfer0": {
             "props": {
                 "dataSource": "mxpi_imageresize0",
-                "modelPath": "${yolov3_tf_bs1_fp16.om模型路径}"
+                "modelPath": "./model/yolov3_tf_bs1_fp16.om"
             },
             "factory": "mxpi_tensorinfer",
             "next": "mxpi_objectpostprocessor0"
@@ -38,8 +38,8 @@
             "props": {
                 "dataSource": "mxpi_tensorinfer0",
                 "postProcessConfigPath": "model/yolov3_tf_bs1_fp16.cfg",
-                "labelPath": "${coco.names文件路径}",
-                "postProcessLibPath": "${libyolov3postprocess.so路径}"
+                "labelPath": "./model/coco.names",
+                "postProcessLibPath": "libyolov3postprocess.so"
             },
             "factory": "mxpi_objectpostprocessor",
             "next": "appsink0"
-- 
Gitee


From df3bf6fc53671774d1ffcbdf46cf21f7b66faad9 Mon Sep 17 00:00:00 2001
From: "@j0168" <2359577040@qq.com>
Date: Mon, 10 Feb 2025 20:01:33 +0800
Subject: [PATCH 2/8] readme modify

---
 tutorials/ImageDetectionSample/cpp/README.md | 42 +-------------------
 1 file changed, 2 insertions(+), 40 deletions(-)

diff --git a/tutorials/ImageDetectionSample/cpp/README.md b/tutorials/ImageDetectionSample/cpp/README.md
index a768362e1..92f8e8948 100644
--- a/tutorials/ImageDetectionSample/cpp/README.md
+++ b/tutorials/ImageDetectionSample/cpp/README.md
@@ -52,57 +52,19 @@ ATC run success, welcome to the next use.
 
 **步骤1：** 准备一张待检测图片，放到项目根目录下命名为`test.jpg`。
 
-**步骤2：** 编译项目文件
-
-
-在项目的c++目录下，新建立build目录，进入build执行cmake ..（..代表包含CMakeLists.txt的源文件父目录），在build目录下生成了编译需要的Makefile和中间文件。执行make构建工程，构建成功后就会生成可执行文件。
-
-```
-# 新建立build目录
-mkdir build
-
-#进入build
-cd build
-
-# 执行
-cmake ..
-
-# 执行make构建工程
-make
-```
-构建成功后就会生成可执行文件，回显为：
-```
-Scanning dependencies of target sample
-[ 50%] Building CXX object CMakeFiles/sample.dir/main.cpp.o
-[100%] Linking CXX executable ../sample
-[100%] Built target sample
-# sample就是CMakeLists文件中指定生成的可执行文件。
+**步骤2：** 编译与运行，执行脚本
 ```
-
-**步骤4：** 执行脚本
-
-执行run.sh脚本前请先确认可执行文件sample已生成。
-
-```
-# 添加执行权限
-chmod +x run.sh 
-
-#执行脚本
 bash run.sh
 ```
 
 **步骤5：** 查看结果
-
-执行run.sh完毕后，sample会将目标检测结果保存在工程目录下`result.jpg`中。
+目标检测结果保存在当前目录的`result.jpg`中。
 
 
 ## 5 常见问题
 
 
 ### 5.1 .sh文件执行报错
-
-
-
 **问题描述：**  如果执行`bash run.sh`报错如下：
 ```
 run.sh: line 2: $'\r': command not found
-- 
Gitee


From c0e4b5c77b175d7a0882e5c53f0db82eff53f385 Mon Sep 17 00:00:00 2001
From: "@j0168" <2359577040@qq.com>
Date: Mon, 10 Feb 2025 20:05:49 +0800
Subject: [PATCH 3/8] readme modify

---
 tutorials/ImageDetectionSample/cpp/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tutorials/ImageDetectionSample/cpp/README.md b/tutorials/ImageDetectionSample/cpp/README.md
index 92f8e8948..80b81644c 100644
--- a/tutorials/ImageDetectionSample/cpp/README.md
+++ b/tutorials/ImageDetectionSample/cpp/README.md
@@ -32,7 +32,7 @@
 
 **步骤1** 下载YOLOv3模型。[下载地址](https://gitee.com/link?target=https%3A%2F%2Fobs-9be7.obs.cn-east-2.myhuaweicloud.com%2F003_Atc_Models%2Fmodelzoo%2Fyolov3_tf.pb)
 
-**步骤2** 将获取到的YOLOv3模型文件内的.pb文件存放至`ImageDetectionSample/C++/model/`下。
+**步骤2** 将获取到的YOLOv3模型文件内的.pb文件存放至`ImageDetectionSample/cpp/model/`下。
 
 **步骤3** 使用ATC执行模型转换
 
-- 
Gitee


From ffa367f65a65563af674a30c72867a3ca22a41c2 Mon Sep 17 00:00:00 2001
From: "@j0168" <2359577040@qq.com>
Date: Mon, 10 Feb 2025 20:09:05 +0800
Subject: [PATCH 4/8] readme modify

---
 tutorials/ImageDetectionSample/cpp/README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/tutorials/ImageDetectionSample/cpp/README.md b/tutorials/ImageDetectionSample/cpp/README.md
index 80b81644c..0e744ffbb 100644
--- a/tutorials/ImageDetectionSample/cpp/README.md
+++ b/tutorials/ImageDetectionSample/cpp/README.md
@@ -50,9 +50,9 @@ ATC run success, welcome to the next use.
 
 ## 4 编译与运行
 
-**步骤1：** 准备一张待检测图片，放到项目根目录下命名为`test.jpg`。
+**步骤1：** 准备一张待检测图片，放到`ImageDetectionSample/cpp`目录下命名为`test.jpg`。
 
-**步骤2：** 编译与运行，执行脚本
+**步骤2：** 编译与运行，进入`ImageDetectionSample/cpp`目录，执行脚本
 ```
 bash run.sh
 ```
-- 
Gitee


From 1b7fc35b446af23c4c30a924138a9acde4156f4a Mon Sep 17 00:00:00 2001
From: "@j0168" <2359577040@qq.com>
Date: Mon, 10 Feb 2025 20:09:35 +0800
Subject: [PATCH 5/8] readme modify

---
 tutorials/ImageDetectionSample/cpp/README.md | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/tutorials/ImageDetectionSample/cpp/README.md b/tutorials/ImageDetectionSample/cpp/README.md
index 0e744ffbb..b25c06032 100644
--- a/tutorials/ImageDetectionSample/cpp/README.md
+++ b/tutorials/ImageDetectionSample/cpp/README.md
@@ -57,8 +57,7 @@ ATC run success, welcome to the next use.
 bash run.sh
 ```
 
-**步骤5：** 查看结果
-目标检测结果保存在当前目录的`result.jpg`中。
+**步骤5：** 查看结果，目标检测结果保存在当前目录的`result.jpg`中。
 
 
 ## 5 常见问题
-- 
Gitee


From 43f031e05d523d664ebe4edf9d704aed49580489 Mon Sep 17 00:00:00 2001
From: "@j0168" <2359577040@qq.com>
Date: Mon, 10 Feb 2025 20:23:05 +0800
Subject: [PATCH 6/8] readme modify

---
 tutorials/ImageDetectionSample/cpp/README.md  |  3 +-
 .../ImageDetectionSample/python/README.md     | 59 +++++--------------
 tutorials/ImageDetectionSample/python/main.py |  2 +-
 .../python/models/model_conversion.sh         | 36 -----------
 4 files changed, 17 insertions(+), 83 deletions(-)
 delete mode 100644 tutorials/ImageDetectionSample/python/models/model_conversion.sh

diff --git a/tutorials/ImageDetectionSample/cpp/README.md b/tutorials/ImageDetectionSample/cpp/README.md
index b25c06032..2516708b6 100644
--- a/tutorials/ImageDetectionSample/cpp/README.md
+++ b/tutorials/ImageDetectionSample/cpp/README.md
@@ -14,6 +14,7 @@
 | Vision SDK版本  | CANN版本  | Driver/Firmware版本  |
 | --------- | ------------------ | -------------- |
 | 6.0.RC3   | 8.0.RC3   |  24.1.RC3  |
+| 6.0.0   | 8.0.0   |  24.1.0  |
 
 ### 1.4 三方依赖
 无
@@ -57,7 +58,7 @@ ATC run success, welcome to the next use.
 bash run.sh
 ```
 
-**步骤5：** 查看结果，目标检测结果保存在当前目录的`result.jpg`中。
+**步骤3：** 查看结果，目标检测结果保存在当前目录的`result.jpg`中。
 
 
 ## 5 常见问题
diff --git a/tutorials/ImageDetectionSample/python/README.md b/tutorials/ImageDetectionSample/python/README.md
index b3e63dd56..2b578f0dc 100644
--- a/tutorials/ImageDetectionSample/python/README.md
+++ b/tutorials/ImageDetectionSample/python/README.md
@@ -15,6 +15,7 @@
 | Vision SDK版本  | CANN版本  | Driver/Firmware版本  |
 | --------- | ------------------ | -------------- |
 | 6.0.RC3   | 8.0.RC3   |  24.1.RC3  |
+| 6.0.0   | 8.0.0   |  24.1.0  |
 
 ### 1.4 三方依赖
 
@@ -29,68 +30,36 @@
 ## 2. 设置环境变量
 
 ```bash
-#设置CANN环境变量
-. ${install_path}/set_env.sh
+#设置CANN环境变量，cann_install_path为CANN安装路径
+. ${cann_install_path}/set_env.sh
 
-#设置Vision SDK 环境变量，SDK-path为Vision SDK 安装路径
-. ${SDK-path}/set_env.sh
+#设置Vision SDK 环境变量，sdk_install_path为Vision SDK 安装路径
+. ${sdk_install_path}/set_env.sh
 ```
 ## 3. 准备模型
 
-**步骤1** 在ModelZoo上下载YOLOv3模型。[下载地址](https://gitee.com/link?target=https%3A%2F%2Fobs-9be7.obs.cn-east-2.myhuaweicloud.com%2F003_Atc_Models%2Fmodelzoo%2Fyolov3_tf.pb)
+**步骤1** 下载YOLOv3模型。[下载地址](https://gitee.com/link?target=https%3A%2F%2Fobs-9be7.obs.cn-east-2.myhuaweicloud.com%2F003_Atc_Models%2Fmodelzoo%2Fyolov3_tf.pb)
 
 **步骤2** 将获取到的YOLOv3模型文件内的`.pb`文件存放至`ImageDetectionSample/python/models/`下。
  
-**步骤3** 模型转换
-在文件夹 `ImageDetectionSample/python/models/` 下，执行模型转换脚本model_conversion.sh
-```
-bash model_conversion.sh
+**步骤3** 使用ATC执行模型转换
+在文件夹 `ImageDetectionSample/python/models/` 目录下执行以下命令
+```bash
+atc --model=./yolov3_tf.pb --framework=3 --output=./yolov3_tf_bs1_fp16 --soc_version=Ascend310P3 --insert_op_conf=./aipp_yolov3_416_416.aippconfig --input_shape="input:1,416,416,3" --out_nodes="yolov3/yolov3_head/Conv_6/BiasAdd:0;yolov3/yolov3_head/Conv_14/BiasAdd:0;yolov3/yolov3_head/Conv_22/BiasAdd:0"
 ```
-执行完模型转换脚本后，会生成相应的`.om`模型文件。执行后终端输出为：
+执行后终端输出为：
 ```bash
 ATC start working now, please wait for a moment.
 ATC run success, welcome to the next use.
 ```
 表示命令执行成功。
 
-**步骤4** 准备标签文件coco.names
-
-通过命令查找到文件`coco.names`路径：
-```bash
-find / -name coco.names
-```
-在`ImageDetectionSample/python/models/` 下， 复制文件`coco.names`：
-```bash
-cp ${刚刚获取的路径}  ./
-```
-
 ## 4 运行
-**步骤1：** 转移样例：
-
-将样例目录从 `mindxsdk-referenceapps/tutorials/ImageDetectionSample/python` 文件夹下 移动到 `${SDK安装路径}/samples/mxVision/python/`路径下。
-```bash
-cp -r mindxsdk-referenceapps/tutorials/ImageDetectionSample/python ${SDK安装路径}/samples/mxVision/python
-```
-移动后的项目路径为：`${SDK安装路径}/samples/mxVision/python/python`。
-
-
-**步骤2：** 修改main.py：
-
-
-将main.py 文件中 第78行 mxpi_objectpostprocessor0插件中的postProcessLibPath路径中的${SDK安装路径} 替换为自己的SDK安装路径：
-```bash
-78  "postProcessLibPath": "${SDK安装路径}/lib/modelpostprocessors/libyolov3postprocess.so"
-```
-**步骤3：** 准备测试图片：
-
-准备一张待检测图片，放到项目目录`${SDK安装路径}/samples/mxVision/python/python`下命名为test.jpg
-
-
-**步骤4：** 运行:
 
-命令行输入：
+**步骤1：** 准备一张待检测图片，放到`ImageDetectionSample/python`目录下命名为`test.jpg`。
 
+**步骤2：** 运行, 进入`ImageDetectionSample/python`目录，执行
 ```
 python3 main.py
 ```
-运行结果将以`result.jpg`的形式保存在项目目录下。
+**步骤3：** 查看结果，目标检测结果保存在当前目录的`result.jpg`中。
diff --git a/tutorials/ImageDetectionSample/python/main.py b/tutorials/ImageDetectionSample/python/main.py
index 444929084..cdfdf908e 100644
--- a/tutorials/ImageDetectionSample/python/main.py
+++ b/tutorials/ImageDetectionSample/python/main.py
@@ -75,7 +75,7 @@ if __name__ == '__main__':
                     "dataSource": "mxpi_tensorinfer0",
                     "postProcessConfigPath": "models/yolov3_tf_bs1_fp16.cfg",
                     "labelPath": "models/coco.names",
-                    "postProcessLibPath": "${SDK安装路径}/lib/modelpostprocessors/libyolov3postprocess.so"
+                    "postProcessLibPath": "libyolov3postprocess.so"
                 },
                 "factory": "mxpi_objectpostprocessor",
                 "next": "appsink0"
diff --git a/tutorials/ImageDetectionSample/python/models/model_conversion.sh b/tutorials/ImageDetectionSample/python/models/model_conversion.sh
deleted file mode 100644
index b4875ca3c..000000000
--- a/tutorials/ImageDetectionSample/python/models/model_conversion.sh
+++ /dev/null
@@ -1,36 +0,0 @@
-#!/bin/bash
-
-# Copyright(C) Huawei Technologies Co.,Ltd. 2012-2021 All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-
-# 该脚本用来将pb模型文件转换成.om模型文件
-# This is used to convert pb model file to .om model file.
-
-
-# 设置环境变量（请确认install_path路径是否正确）
-# Set environment PATH (Please confirm that the install_path is correct).
-
-export install_path=/usr/local/Ascend/ascend-toolkit/latest
-export PATH=/usr/local/python3.9.2/bin:${install_path}/atc/ccec_compiler/bin:${install_path}/atc/bin:$PATH
-export PYTHONPATH=${install_path}/atc/python/site-packages:${install_path}/atc/python/site-packages/auto_tune.egg/auto_tune:${install_path}/atc/python/site-packages/schedule_search.egg
-export LD_LIBRARY_PATH=${install_path}/atc/lib64:$LD_LIBRARY_PATH
-export ASCEND_OPP_PATH=${install_path}/opp
-
-
-# 执行，转换YOLOv3模型
-# Execute, transform YOLOv3 model.
-
-atc --model=./yolov3_tf.pb --framework=3 --output=./yolov3_tf_bs1_fp16 --soc_version=Ascend310P3 --insert_op_conf=./aipp_yolov3_416_416.aippconfig --input_shape="input:1,416,416,3" --out_nodes="yolov3/yolov3_head/Conv_6/BiasAdd:0;yolov3/yolov3_head/Conv_14/BiasAdd:0;yolov3/yolov3_head/Conv_22/BiasAdd:0"
-# 说明：out_nodes制定了输出节点的顺序，需要与模型后处理适配。
\ No newline at end of file
-- 
Gitee


From 35426d46bcc1e2bd969a4cfd53e7bb42ad879c30 Mon Sep 17 00:00:00 2001
From: "@j0168" <2359577040@qq.com>
Date: Mon, 10 Feb 2025 20:23:43 +0800
Subject: [PATCH 7/8] readme modify

---
 .../python/models/coco.names                  | 81 +++++++++++++++++++
 1 file changed, 81 insertions(+)
 create mode 100644 tutorials/ImageDetectionSample/python/models/coco.names

diff --git a/tutorials/ImageDetectionSample/python/models/coco.names b/tutorials/ImageDetectionSample/python/models/coco.names
new file mode 100644
index 000000000..1db41f581
--- /dev/null
+++ b/tutorials/ImageDetectionSample/python/models/coco.names
@@ -0,0 +1,81 @@
+# This file is originally from https://github.com/pjreddie/darknet/blob/master/data/coco.names
+person
+bicycle
+car
+motorbike
+aeroplane
+bus
+train
+truck
+boat
+traffic light
+fire hydrant
+stop sign
+parking meter
+bench
+bird
+cat
+dog
+horse
+sheep
+cow
+elephant
+bear
+zebra
+giraffe
+backpack
+umbrella
+handbag
+tie
+suitcase
+frisbee
+skis
+snowboard
+sports ball
+kite
+baseball bat
+baseball glove
+skateboard
+surfboard
+tennis racket
+bottle
+wine glass
+cup
+fork
+knife
+spoon
+bowl
+banana
+apple
+sandwich
+orange
+broccoli
+carrot
+hot dog
+pizza
+donut
+cake
+chair
+sofa
+pottedplant
+bed
+diningtable
+toilet
+tvmonitor
+laptop
+mouse
+remote
+keyboard
+cell phone
+microwave
+oven
+toaster
+sink
+refrigerator
+book
+clock
+vase
+scissors
+teddy bear
+hair drier
+toothbrush
-- 
Gitee


From 851f8d7f821dbadf36e345154d6f7dda3f340e0a Mon Sep 17 00:00:00 2001
From: "@j0168" <2359577040@qq.com>
Date: Tue, 11 Feb 2025 11:40:52 +0800
Subject: [PATCH 8/8] readme modify

---
 tutorials/ImageDetectionSample/cpp/main.cpp | 36 +++++++++++++++++----
 1 file changed, 29 insertions(+), 7 deletions(-)

diff --git a/tutorials/ImageDetectionSample/cpp/main.cpp b/tutorials/ImageDetectionSample/cpp/main.cpp
index fc1f55a2e..113264ca5 100644
--- a/tutorials/ImageDetectionSample/cpp/main.cpp
+++ b/tutorials/ImageDetectionSample/cpp/main.cpp
@@ -15,11 +15,11 @@
  */
 #include <string>
 #include <glob.h>
+#include <fstream>
 #include "opencv2/opencv.hpp"
 #include "MxBase/Log/Log.h"
 #include "MxBase/MemoryHelper/MemoryHelper.h"
 #include "MxStream/StreamManager/MxStreamManager.h"
-#include <fstream>
 
 namespace {
     const uint32_t YUV_BYTES_NU = 3;
@@ -49,28 +49,50 @@ static APP_ERROR  ReadFile(const std::string& filePath, MxStream::MxstDataInput&
         return APP_ERR_COMM_OPEN_FAIL;
     }
     // 得到文件内容长度
-    fseek(fp, 0, SEEK_END);
+    if (fseek(fp, 0, SEEK_END) != 0) {
+        LogError << "Failed to fseek.";
+        if (fclose(fp) != 0) {
+            LogError << "Failed to fclose.";
+        }
+        return APP_ERR_COMM_FAILURE;
+    }
     long fileSize = ftell(fp);
-    fseek(fp, 0, SEEK_SET);
+    if (fseek(fp, 0, SEEK_SET) != 0) {
+        LogError << "Failed to fseek.";
+        if (fclose(fp) != 0) {
+            LogError << "Failed to fclose.";
+        }
+        return APP_ERR_COMM_FAILURE;
+    }
     // 若文件内容不为空，把文件内容写入dataBuffer中
     if(fileSize > 0){
         dataBuffer.dataSize = fileSize;
         dataBuffer.dataPtr = new (std::nothrow) uint32_t[fileSize];
         if(dataBuffer.dataPtr == nullptr){
             LogError << "allocate memory with \"new uint32_t\" failed.";
-            fclose(fp);
+            if (fclose(fp) != 0) {
+                LogError << "Failed to fclose.";
+            }
             return APP_ERR_COMM_FAILURE;
         }
 
         uint32_t readRet = fread(dataBuffer.dataPtr, 1, fileSize, fp);
         if(readRet <= 0){
-            fclose(fp);
+            if (fclose(fp) != 0) {
+                LogError << "Failed to fclose.";
+            }
             return APP_ERR_COMM_READ_FAIL;
         }
-        fclose(fp);
+        if (fclose(fp) != 0) {
+            LogError << "Failed to fclose.";
+            return APP_ERR_COMM_FAILURE;
+        }
         return APP_ERR_OK;
     }
-    fclose(fp);
+    if (fclose(fp) != 0) {
+        LogError << "Failed to fclose.";
+        return APP_ERR_COMM_FAILURE;
+    }
     return APP_ERR_COMM_FAILURE;
 }
 
-- 
Gitee