Try to fix CI.

Author: gpx1000

antora/modules/ROOT/nav.adoc

@@ -160,6 +160,7 @@
 *** xref:Building_a_Simple_Engine/Advanced_Topics/Robustness2.adoc[Robustness2]
 ** Appendix
 *** xref:Building_a_Simple_Engine/Appendix/appendix.adoc[Appendix]
+
 * Machine Learning Inference
 ** xref:ML_Inference/introduction.adoc[Introduction]
 ** ML Inference Pipeline

attachments/ml_inference/CMakeLists.txt

@@ -221,7 +221,7 @@ if(glfw3_FOUND OR GLFW_FOUND)
             COMMAND ${CMAKE_COMMAND} -E copy_directory
                 ${CMAKE_CURRENT_SOURCE_DIR}/sample_images
                 $<TARGET_FILE_DIR:${TARGET_NAME}>/sample_images
-            COMMAND ${CMAKE_COMMAND} -E copy
+            COMMAND ${CMAKE_COMMAND} -E copy_if_different
                 ${CMAKE_CURRENT_SOURCE_DIR}/mnist_weights.bin
                 $<TARGET_FILE_DIR:${TARGET_NAME}>/mnist_weights.bin
             COMMAND ${CMAKE_COMMAND} -E copy_if_different

attachments/ml_inference/rPi/embedded_wildlife_cam.cpp

@@ -4,7 +4,9 @@
 #include <chrono>
 #include <memory>
 #include <fstream>
+#ifdef HAVE_OPENCV
 #include <opencv2/opencv.hpp>
+#endif
 
 #include "common/renderer/renderer.h"
 #include "common/preprocessing/vulkan_preprocessing.h"
@@ -428,6 +430,8 @@ class TFLiteClassifier : public ClassifierInterface {
 };
 #endif
 
+#ifdef HAVE_OPENCV
+
 int main(int argc, char** argv) {
     std::string modelPath = "models/mobilenetv2_nnef_optimized";
     std::string labelPath = "data/imagenet_classes.txt";
@@ -656,3 +660,13 @@ int main(int argc, char** argv) {
 
     return 0;
 }
+
+#else // HAVE_OPENCV
+
+int main(int, char**) {
+    std::cerr << "embedded_wildlife_cam: built without OpenCV. Camera input is not available.\n";
+    std::cerr << "Install OpenCV and rebuild with -DHAVE_OPENCV to enable camera support.\n";
+    return 1;
+}
+
+#endif // HAVE_OPENCV