Move preprocessing out of main

examples/inception_v3/inception_utils.cpp

@@ -0,0 +1,46 @@
+#include <iostream>
+#include <opencv2/opencv.hpp>
+#include <vector>
+
+std::vector<float>
+readAndNormalizeImage(const std::string &imagePath, int resizeSize, int cropSize) {
+    // Read the image using OpenCV
+    cv::Mat image = cv::imread(imagePath, cv::IMREAD_COLOR);
+    // Convert the image from BGR to RGB
+    cv::cvtColor(image, image, cv::COLOR_BGR2RGB);
+
+    // Calculate the scaling factor
+    double scale = std::max(static_cast<double>(resizeSize) / image.cols, static_cast<double>(resizeSize) / image.rows);
+
+    // Resize the image
+    cv::Mat resized;
+    cv::resize(image, resized, cv::Size(), scale, scale, cv::INTER_AREA);
+
+    // Calculate the cropping coordinates
+    int x = (resized.cols - cropSize) / 2;
+    int y = (resized.rows - cropSize) / 2;
+
+    // Perform center cropping
+    cv::Rect roi(x, y, cropSize, cropSize);
+    image = resized(roi);
+
+    // Normalize the image
+    image.convertTo(image, CV_32FC3, 1.0 / 255.0);
+
+    cv::Mat mean(image.size(), CV_32FC3, cv::Scalar(0.485, 0.456, 0.406));
+    cv::Mat std(image.size(), CV_32FC3, cv::Scalar(0.229, 0.224, 0.225));
+    cv::subtract(image, mean, image);
+    cv::divide(image, std, image);
+
+    // Convert the 3D image matrix to a 1D array of floats
+    std::vector<float> imageData;
+    for (int c = 0; c < image.channels(); ++c) {
+        for (int i = 0; i < image.rows; ++i) {
+            for (int j = 0; j < image.cols; ++j) {
+                imageData.push_back(image.at<cv::Vec3f>(i, j)[c]);
+            }
+        }
+    }
+
+    return imageData;
+}