upgrade mobilenetv3 to tensorrt 10

Signed-off-by: makaveli10 <vineet.suryan@collabora.com>

Author: makaveli10

mobilenet/mobilenetv3/CMakeLists.txt

@@ -19,8 +19,13 @@ link_directories(/usr/local/cuda/lib64)
 include_directories(/usr/include/x86_64-linux-gnu/)
 link_directories(/usr/lib/x86_64-linux-gnu/)
 
+# Find OpenCV
+find_package(OpenCV REQUIRED)
+
 add_executable(mobilenetv3  ${PROJECT_SOURCE_DIR}/mobilenet_v3.cpp)
+target_include_directories(mobilenetv3 PRIVATE ${OpenCV_INCLUDE_DIRS})
 target_link_libraries(mobilenetv3 nvinfer)
 target_link_libraries(mobilenetv3 cudart)
+target_link_libraries(mobilenetv3 ${OpenCV_LIBS})
 
 add_definitions(-O2 -pthread)

mobilenet/mobilenetv3/README.md

@@ -15,12 +15,14 @@ For the Pytorch implementation, you can refer to [mobilenetv3.pytorch](https://g
 
 ```
 cd tensorrtx/mobilenet/mobilenetv3
+sudo apt install libopencv-dev -y
 mkdir build
 cd build
 cmake ..
 make
-sudo ./mobilenetv3 -s small(or large) // serialize model to plan file i.e. 'mobilenetv3_small.engine'
-sudo ./mobilenetv3 -d small(or large)  // deserialize plan file and run inference
+sudo ./mobilenetv3 -s small(or large)             // serialize model to plan file i.e. 'mobilenetv3_small.engine'
+sudo ./mobilenetv3 -d small(or large)             // deserialize plan file and run inference
+sudo ./mobilenetv3 -d small(or large) image.jpg   // deserialize plan file and run inference on an image
 ```
 
 4. see if the output is same as pytorch side
@@ -36,7 +38,8 @@ sudo ./mobilenetv3 -d small(or large)  // deserialize plan file and run inferenc
 
 cd tensorrtx/mobilenet/mobilenetv3
 
-python mobilenet_v2.py -s small(or large)  // serialize model to plan file i.e. 'mobilenetv2.engine'
-python mobilenet_v2.py -d small(or large)  // deserialize plan file and run inference
+python mobilenet_v2.py -s small(or large)                        // serialize model to plan file i.e. 'mobilenetv2.engine'
+python mobilenet_v2.py -d small(or large)                        // deserialize plan file and run inference
+python mobilenet_v2.py -d small(or large) --image image.jpg      // deserialize plan file and run inference on an image
 
 ```

mobilenet/mobilenetv3/logging.h

@@ -209,7 +209,7 @@ class Logger : public nvinfer1::ILogger {
     //! Note samples should not be calling this function directly; it will eventually go away once we eliminate the
     //! inheritance from nvinfer1::ILogger
     //!
-    void log(Severity severity, const char* msg) override {
+    void log(Severity severity, const char* msg) noexcept override {
         LogStreamConsumer(mReportableSeverity, severity) << "[TRT] " << std::string(msg) << std::endl;
     }