Add CPU/GPU gate and support new ANSALPR using OCR

modules/ANSCV/ANSWebcam.cpp

@@ -1,6 +1,7 @@
 #include "ANSWEBCAM.h"
 #include "ANSMatRegistry.h"
 #include "ANSGpuFrameRegistry.h"
+#include "ANSCVVendorGate.h"  // anscv_vendor_gate::IsNvidiaGpuAvailable()
 #include <cstdint>
 #include <memory>
 extern "C" {
@@ -914,6 +915,15 @@ namespace ANSCENTER {
         return result;
     }
     void ANSWEBCAMPlayer::uploadPlanarBGRToGPU(const cv::Mat& inputMat, unsigned char** data) {
+        // Refuse on non-NVIDIA — cudaMalloc/cudaMemcpy are NVIDIA-only.
+        // The public entry point encodeMatToJpegWithNvJPEG() also guards,
+        // but defense-in-depth in case a future caller wires this up directly.
+        if (!anscv_vendor_gate::IsNvidiaGpuAvailable()) {
+            this->_logger.LogWarn("ANSWEBCAMPlayer::uploadPlanarBGRToGPU",
+                "skipped — non-NVIDIA hardware, nvJPEG path unavailable", __FILE__, __LINE__);
+            if (data) *data = nullptr;
+            return;
+        }
         std::lock_guard<std::recursive_mutex> lock(_mutex);
         try {
             int width = inputMat.cols;
@@ -933,6 +943,13 @@ namespace ANSCENTER {
     }
     std::string ANSWEBCAMPlayer::encodeMatToJpegWithNvJPEG(const cv::Mat& inputMat, int quality)
     {
+        // nvJPEG encoder is NVIDIA-only (part of CUDA toolkit).  Refuse on
+        // AMD/Intel/CPU and let the caller fall back to the turbojpeg path.
+        if (!anscv_vendor_gate::IsNvidiaGpuAvailable()) {
+            this->_logger.LogWarn("ANSWEBCAMPlayer::encodeMatToJpegWithNvJPEG",
+                "nvJPEG requires NVIDIA GPU; falling back to last cached JPEG", __FILE__, __LINE__);
+            return _lastJpegImage;
+        }
         std::lock_guard<std::recursive_mutex> lock(_mutex);
         try {
             // Image dimensions