fix lenet bug

fix lenet

official/cv/lenet/infer/convert/air2om.sh

@@ -16,7 +16,7 @@
 model_path=$1
 output_model_name=$2
 
-/usr/local/Ascend/atc/bin/atc \
+atc \
 --model=$model_path \
 --framework=1 \
 --output=$output_model_name \

official/cv/lenet/infer/docker_start_infer.sh

@@ -37,7 +37,7 @@ function param_check() {
 
 param_check
 
-docker run -it \
+docker run -u root -it \
   --device=/dev/davinci0 \
   --device=/dev/davinci_manager \
   --device=/dev/devmm_svm \

official/cv/lenet/infer/mxbase/LenetOpencv.cpp

@@ -65,10 +65,10 @@ APP_ERROR LenetOpencv::DeInit() {
     return APP_ERR_OK;
 }
 
-APP_ERROR LenetOpencv::ReadImage(const std::string &imgPath, cv::Mat &imageMat) {
+void LenetOpencv::ReadImage(const std::string &imgPath, cv::Mat &imageMat) {
     imageMat = cv::imread(imgPath, cv::IMREAD_COLOR);
 }
-APP_ERROR LenetOpencv::ResizeImage(const cv::Mat &srcImageMat, cv::Mat &dstImageMat) {
+void LenetOpencv::ResizeImage(const cv::Mat &srcImageMat, cv::Mat &dstImageMat) {
     static constexpr uint32_t resizeHeight = 32;
     static constexpr uint32_t resizeWidth = 32;
 
@@ -127,7 +127,7 @@ APP_ERROR LenetOpencv::Process(const std::string &imgPath) {
     std::vector<MxBase::TensorBase> inputs = {};
     std::vector<MxBase::TensorBase> outputs = {};
     TensorBase tensorBase;
-    ret = CVMatToTensorBase(imageMat, tensorBase);
+    APP_ERROR ret = CVMatToTensorBase(imageMat, tensorBase);
     if (ret != APP_ERR_OK) {
         LogError << "CVMatToTensorBase failed, ret=" << ret << ".";
         return ret;

official/cv/lenet/infer/sdk/python_lenet/run.sh

@@ -33,6 +33,6 @@ warn() { echo >&2 -e "\033[1;31m[WARN ][MxStream] $1\033[1;37m" ; }
 info() { echo -e "\033[1;34m[INFO ][MxStream] $1\033[1;37m" ; }
 warn() { echo >&2 -e "\033[1;31m[WARN ][MxStream] $1\033[1;37m" ; }
 
-python3.7 main.py $image_path  $result_dir
+python3 main.py $image_path  $result_dir
 
 exit 0