From 22bb4d09817113de70bbe0ddfaf851518578a65a Mon Sep 17 00:00:00 2001
From: Brett <brettmaster1@gmail.com>
Date: Fri, 9 Aug 2024 13:49:14 -0400
Subject: [PATCH] last

---
 CMakeLists.txt |  2 +-
 src/main.cpp   | 54 +++++++++++++++++++++++++-------------------------
 2 files changed, 28 insertions(+), 28 deletions(-)

diff --git a/CMakeLists.txt b/CMakeLists.txt
index dd2a6aa..0279803 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -1,5 +1,5 @@
 cmake_minimum_required(VERSION 3.25)
-project(image-gp-6 VERSION 0.0.25)
+project(image-gp-6 VERSION 0.0.26)
 
 include(FetchContent)
 
diff --git a/src/main.cpp b/src/main.cpp
index 2aa691f..1dd6b0d 100644
--- a/src/main.cpp
+++ b/src/main.cpp
@@ -247,33 +247,33 @@ constexpr auto create_fitness_function()
                 fitness.raw_fitness += 400;
             else
                 fitness.raw_fitness += raw.total + raw.combined + 1.0;
-            
-            cv::Mat base_image_large{full_base_image.get_width(), full_base_image.get_height(), CV_32FC3, full_base_image.get_data()};
-            cv::Mat templ{IMAGE_SIZE, IMAGE_SIZE, CV_32FC3, v.rgb_data};
-            cv::Mat result;
-            
-            int result_cols = base_image_large.cols - templ.cols + 1;
-            int result_rows = base_image_large.rows - templ.rows + 1;
-            
-            result.create(result_rows, result_cols, CV_32FC1);
-            
-            double minVal;
-            double maxVal;
-            cv::matchTemplate(base_image_large, templ, result, match_method);
-            
-            minMaxLoc(result, &minVal, &maxVal, nullptr, nullptr, cv::Mat());
-            
-            /// For SQDIFF and SQDIFF_NORMED, the best matches are lower values. For all the other methods, the higher the better
-            if (match_method == cv::TM_SQDIFF || match_method == cv::TM_SQDIFF_NORMED)
-            {
-                if (std::isinf(minVal) || std::isnan(minVal))
-                    minVal = 200000;
-                fitness.raw_fitness += minVal * 0.01f;
-                //BLT_TRACE("%lf, %lf", minVal, maxVal);
-            } else
-            {
-                BLT_WARN("Hello!");
-            }
+//
+//            cv::Mat base_image_large{full_base_image.get_width(), full_base_image.get_height(), CV_32FC3, full_base_image.get_data()};
+//            cv::Mat templ{IMAGE_SIZE, IMAGE_SIZE, CV_32FC3, v.rgb_data};
+//            cv::Mat result;
+//
+//            int result_cols = base_image_large.cols - templ.cols + 1;
+//            int result_rows = base_image_large.rows - templ.rows + 1;
+//
+//            result.create(result_rows, result_cols, CV_32FC1);
+//
+//            double minVal;
+//            double maxVal;
+//            cv::matchTemplate(base_image_large, templ, result, match_method);
+//
+//            minMaxLoc(result, &minVal, &maxVal, nullptr, nullptr, cv::Mat());
+//
+//            /// For SQDIFF and SQDIFF_NORMED, the best matches are lower values. For all the other methods, the higher the better
+//            if (match_method == cv::TM_SQDIFF || match_method == cv::TM_SQDIFF_NORMED)
+//            {
+//                if (std::isinf(minVal) || std::isnan(minVal))
+//                    minVal = 200000;
+//                fitness.raw_fitness += minVal * 0.01f;
+//                //BLT_TRACE("%lf, %lf", minVal, maxVal);
+//            } else
+//            {
+//                BLT_WARN("Hello!");
+//            }
             
             fitness.raw_fitness += last_fitness;
         } else