algorithms & ds - (c++ libraries)

Author: florist-notes

competitive_prog/README.MD

@@ -304,7 +304,7 @@ int main() {
 
 </table>
 
-resources : [[code](./code/)] &  /[cpp competitive ref](./cp/) | [[cpp doc](./doc/)] [CMake tutorial](https://www.youtube.com/watch?v=nlKcXPUJGwA&list=PLalVdRk2RC6o5GHu618ARWh0VO0bFlif4) [[How to Properly Setup C++ Projects](https://youtu.be/5glH8dGoeCA?si=nkwRWgvsitERl3L9)] [[Making and Working with Libraries in C++](https://youtu.be/Wt4dxDNmDA8?si=eBW6m8PqW0slulwi)] [[C++](https://www.youtube.com/watch?v=18c3MTX0PK0&list=PLlrATfBNZ98dudnM48yfGUldqGD0S4FFb)]
+resources : [ /[cpp competitive ref](./cp/) | [[cpp doc](./doc/)] [CMake tutorial](https://www.youtube.com/watch?v=nlKcXPUJGwA&list=PLalVdRk2RC6o5GHu618ARWh0VO0bFlif4) [[How to Properly Setup C++ Projects](https://youtu.be/5glH8dGoeCA?si=nkwRWgvsitERl3L9)] [[Making and Working with Libraries in C++](https://youtu.be/Wt4dxDNmDA8?si=eBW6m8PqW0slulwi)] [[C++](https://www.youtube.com/watch?v=18c3MTX0PK0&list=PLlrATfBNZ98dudnM48yfGUldqGD0S4FFb)]
 
 <img src="img/stdio.png" width=48%> <img src="img/stdio2.png" width=48%>
 

competitive_prog/img/opencv.png renamed to competitive_prog/doc/img/opencv.png

@@ -93,7 +93,6 @@ const Mat& img);
        cv:: imwrite("copy.jpg", image);
        return 0;
  }
-
 ```
 Write float images to *.exr files. These files will store and read values as is without losing precision. Float images I/O example:
 
@@ -112,7 +111,6 @@ Write float images to *.exr files. These files will store and read values as is
       std :: cout << copy.at <float >(5, 5) << std :: endl;
       return 0;
  }
-
 ```
 
 
@@ -143,8 +141,6 @@ Write float images to *.exr files. These files will store and read values as is
         cv:: waitKey (); // Don't close window instantly.
         return 0;
  }
-
-
 ```
 </td>
 <td>
@@ -187,8 +183,6 @@ Popular features: illumination, rotation and translation invariant (to some degr
  // extract the SIFT descriptors
  auto extractor = SiftDescriptorExtractor :: create ();
  extractor ->compute(input , keypoints , descriptors );
-
-
 ```
 
 ### FLANN: Fast Library for Approximate
@@ -206,5 +200,4 @@ Nearest Neighbors : build K-d tree, search for neighbors there:
  Mat nearest_vector_dist (1, k, DataType <float >:: type);
  kdtree. knnSearch (query , nearest_vector_idx ,
  nearest_vector_dist , k);
-
 ```