Suvorov DM/accuracy verification

app/accuracy_app/accuracy_check.cpp

@@ -0,0 +1,25 @@
+#include <opencv2/opencv.hpp>
+#include <iostream>
+#include <filesystem>
+
+int main() {
+  std::string image_directory = "./photos";
+
+  std::vector<cv::String> image_paths;
+  cv::glob(image_directory + "*.jpg", image_paths);
+  cv::glob(image_directory + "*.png", image_paths);
+
+  for (const auto& path : image_paths) {
+    cv::Mat image = cv::imread(path);
+    if (image.empty()) {
+      std::cerr << "The image could not be opened: " << image_path << std::endl;
+      continue;
+    }
+
+    // image processing will be here...
+    // For check. This is temporary:
+    std::cout << "Image size ::: " << image_path << " => " << image.size() << std::endl;
+    }
+
+  return 0;
+}

src/layers/Tensor.cpp

@@ -14,3 +14,17 @@ std::ostream& operator<<(std::ostream& out, const Tensor& t) {
   }
   return out;
 }
+
+template <typename T>
+bool elementwiseTensorCmp(const Tensor& t1, const Tensor& t2, double threshold) {
+  if (t1.get_shape().count() != t2.get_shape().count()) return false;
+  if (t1.get_type() != t2.get_type()) return false;
+
+  size_t size = t1.get_shape().count();
+  for (size_t i = 0; i < size; i++) {
+    if (std::abs(*(t1.as<T>())[i] - *(t2.as<T>())[i]) > threshold) {
+      return false;
+    }
+  }
+  return true;
+}