├── README.md
├── src
    └── main.cpp
├── CMakeLists.txt
├── include
    └── extract_patches.hpp
└── LICENSE


/README.md:
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1 | ## Extract patches
2 | 
3 | 
4 | C++ Header-only library for the local patch extraction.
5 | Simplified C++ version of the [extract_patches](https://github.com/ducha-aiki/extract_patches)
6 | 


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/src/main.cpp:
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 1 | #include <iostream>
 2 | #include <string>
 3 | 
 4 | #include <opencv2/core/core.hpp>
 5 | #include <opencv2/highgui/highgui.hpp>
 6 | #include <opencv2/features2d/features2d.hpp>
 7 | 
 8 | 
 9 | #include "extract_patches.hpp"
10 | 
11 | 
12 | 
13 | #ifdef _OPENMP
14 | #include <omp.h>
15 | #endif
16 | 
17 | 
18 | int main(int argc, char **argv)
19 | {
20 |     cv::Mat image = cv::imread("kpi.png", 0);
21 |     std::vector<cv::KeyPoint> keypoints1;
22 |     cv::Ptr<cv::AKAZE> detector = cv::AKAZE::create();
23 |     detector->detect(image, keypoints1);
24 | 
25 |     std::vector<cv::Mat>  patches;
26 |     extract_patches(image,
27 |                     keypoints1,
28 |                     patches, 64, 12.0);
29 | 
30 |     for (int i=0; i<10; i++){
31 |         cv::imwrite(std::to_string(i) + ".png", patches[i]);
32 |     }
33 |     return 0;
34 | }
35 | 


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/CMakeLists.txt:
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 1 | cmake_minimum_required(VERSION 2.8.12)
 2 | project(extract_patches)
 3 | 
 4 | add_definitions(-fPIC)
 5 | add_definitions(-DA64)
 6 | add_definitions(-std=c++14)
 7 | 
 8 | SET(CMAKE_BUILD_TYPE "RELEASE")
 9 | 
10 | IF(CMAKE_COMPILER_IS_GNUCXX)
11 |   SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wall -Wno-strict-aliasing")
12 |   SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wextra -Wno-write-strings")
13 |   SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-deprecated -ansi")
14 |   SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -O3 -ftree-vectorize -funroll-loops")
15 | ENDIF(CMAKE_COMPILER_IS_GNUCXX)
16 | 
17 | FIND_PACKAGE(OpenMP)
18 | if (USE_OPENMP)
19 | 	if(NOT OPENMP_FOUND)
20 | 		message(FATAL_ERROR "OPENMP not found.")
21 | 	endif()
22 | 	add_definitions(-DUSE_OPENMP)
23 | endif (USE_OPENMP)
24 | 
25 | # ==============================================================================
26 | # Find OpenCV
27 | # ==============================================================================
28 | find_package(OpenCV)
29 | if (OPENCV_FOUND)
30 |   SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${OpenCV_CXX_FLAGS}")
31 | endif (OPENCV_FOUND)
32 | 
33 | ####### sources
34 | include_directories(include/)
35 | 
36 | #find_package(Torch REQUIRED)
37 | #include_directories(/home/old-ufo/dev/libtorch/libtorch/include/)
38 | 
39 | add_executable(extract_patches_example
40 | 		src/main.cpp)
41 | 
42 | target_link_libraries(extract_patches_example ${OpenCV_LIBS})
43 | 


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/include/extract_patches.hpp:
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  1 | #include <math.h>
  2 | #include <opencv2/core/core.hpp>
  3 | #include <opencv2/imgproc/imgproc.hpp>
  4 | #include <opencv2/highgui/highgui.hpp>
  5 | //#include <torch/script.h>
  6 | 
  7 | void convertKeypoints(std::vector<cv::KeyPoint> &kpts,
  8 |                       std::vector<cv::Mat> &M,
  9 |                       std::vector<size_t> &out_pyr_idx,
 10 |                       int PS = 32,
 11 |                       float mag_factor = 12.0){
 12 |     M.clear();
 13 |     out_pyr_idx.clear();
 14 |     const double half_PS = double(PS) / 2.0;
 15 |     for (size_t i=0; i<kpts.size(); i++){
 16 |         cv::KeyPoint kp = kpts[i];
 17 |         cv::Mat M_cur(2, 3, CV_64F);
 18 |         const double s = kp.size * mag_factor / float(PS);
 19 |         const double pyr_idx = std::max(0.0, std::floor(std::log2(s)));
 20 |         const double d_factor = std::pow(2.0, pyr_idx);
 21 |         const double s_pyr = s / d_factor;
 22 |         const double sin_a = std::sin(kp.angle * M_PI / 180.0);
 23 |         const double cos_a = std::cos(kp.angle * M_PI / 180.0);
 24 |         M_cur.at<double>(0,0) = s_pyr*cos_a;
 25 |         M_cur.at<double>(0,1) = -s_pyr*sin_a;
 26 |         M_cur.at<double>(0,2) = (-s_pyr*cos_a + s_pyr*sin_a) * half_PS + kp.pt.x / d_factor;
 27 | 
 28 |         M_cur.at<double>(1,0) = s_pyr*sin_a;
 29 |         M_cur.at<double>(1,1) = s_pyr*cos_a;
 30 |         M_cur.at<double>(1,2) = (-s_pyr*sin_a - s_pyr*cos_a) * half_PS + kp.pt.y / d_factor;
 31 |         M.push_back(M_cur);
 32 |         out_pyr_idx.push_back(int(pyr_idx));
 33 |     }
 34 | }
 35 | 
 36 | std::vector<cv::Mat> build_image_pyramid(cv::Mat &img, int min_size = 16){
 37 |     std::vector<cv::Mat> out;
 38 |     cv::Mat cur_img = img.clone();
 39 |     out.push_back(img.clone());
 40 |     while (std::min(cur_img.cols, cur_img.rows) > min_size) {
 41 |         cv::pyrDown(cur_img.clone(), cur_img);
 42 |         out.push_back(cur_img);
 43 |     }
 44 |     return out;
 45 | }
 46 | 
 47 | 
 48 | void extract_patches(cv::Mat &img,
 49 |                      std::vector<cv::KeyPoint> &kpts,
 50 |                      std::vector<cv::Mat> &patches,
 51 |                      int PS = 32,
 52 |                      float mag_factor = 12.0){
 53 |     std::vector<cv::Mat> img_pyr = build_image_pyramid(img, int(float(PS)/2));
 54 |     size_t max_pyr_idx = img_pyr.size() - 1;
 55 | 
 56 |     std::vector<cv::Mat> M;
 57 |     std::vector<size_t> pyr_idxs;
 58 |     convertKeypoints(kpts, M, pyr_idxs, PS, mag_factor);
 59 |     patches.clear();
 60 |     patches.resize(kpts.size());
 61 | #ifdef _OPENMP
 62 |     omp_set_nested(1);
 63 | #endif
 64 | #pragma omp parallel for schedule (dynamic,1)
 65 |     for (size_t i=0; i<M.size(); i++){
 66 |         cv::Mat current_patch(PS,PS, CV_32F);
 67 |         cv::warpAffine(img_pyr[std::min(max_pyr_idx, pyr_idxs[i])],
 68 |                 current_patch,
 69 |                 M[i], cv::Size(PS,PS),
 70 |                 cv::INTER_LINEAR + cv::WARP_INVERSE_MAP + cv::WARP_FILL_OUTLIERS,
 71 |                 cv::BORDER_REPLICATE);
 72 |         patches[i] = current_patch;
 73 |     }
 74 | }
 75 | 
 76 | /*
 77 | void extract_tensor_patches(cv::Mat &img,
 78 |                      std::vector<cv::KeyPoint> &kpts,
 79 |                      torch::Tensor& patches,
 80 |                      int PS = 32,
 81 |                      float mag_factor = 10.0){
 82 |     cv::Mat grayImg;
 83 |     if (img.channels() > 1){
 84 |         cv::cvtColor(img, grayImg, cv::COLOR_BGR2GRAY);
 85 |     }
 86 |     else {
 87 |         grayImg = img;
 88 |     }
 89 |     std::vector<cv::Mat> img_pyr = build_image_pyramid(grayImg, int(float(PS)/2));
 90 |     size_t max_pyr_idx = img_pyr.size() - 1;
 91 |     std::vector<torch::Tensor> patches_list;
 92 |     std::vector<cv::Mat> M;
 93 |     std::vector<size_t> pyr_idxs;
 94 |     convertKeypoints(kpts, M, pyr_idxs, PS, mag_factor);
 95 |     for (size_t i=0; i<M.size(); i++){
 96 |         cv::Mat current_patch(PS,PS, CV_32F);
 97 |         cv::warpAffine(img_pyr[std::min(max_pyr_idx, pyr_idxs[i])],
 98 |                 current_patch,
 99 |                 M[i], cv::Size(PS,PS),
100 |                 cv::INTER_LINEAR + cv::WARP_INVERSE_MAP + cv::WARP_FILL_OUTLIERS,
101 |                 cv::BORDER_REPLICATE);
102 |         torch::Tensor tensor_patch = torch::zeros({ PS, PS, 1 });
103 |                   memcpy(tensor_patch.data_ptr(), current_patch.data, tensor_patch.numel() * sizeof(float));
104 |                   tensor_patch = tensor_patch.permute({2,0,1});
105 |                   patches_list.push_back(tensor_patch);
106 |     }
107 |     patches = torch::stack(torch::TensorList(patches_list));
108 | }
109 | */
110 | 


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