Difference between revisions of "BLAStoise"
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0.00 16.57 0.00 1 0.00 0.00 __static_initialization_and_destruction_0(int, int) | 0.00 16.57 0.00 1 0.00 0.00 __static_initialization_and_destruction_0(int, int) | ||
0.00 16.57 0.00 1 0.00 0.00 __static_initialization_and_destruction_0(int, int) | 0.00 16.57 0.00 1 0.00 0.00 __static_initialization_and_destruction_0(int, int) | ||
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| + | '''Oil Painting''' | ||
| + | |||
| + | This program converts a regular image into a stylized oil painting, it uses OpenCV. The painting algorithm depends on the brush size and colour intensity. The program takes three command line arguments: int for brush size, int for intensity and file name of an image. Upon finishing, the program produces the original image along with the oil paint version and the total time required in seconds. | ||
| + | |||
| + | The original source code can be found [https://github.com/housewing/OpenCV-Image-Processing/blob/master/OilPaint_forloop.cpp here]. However there have been some changes to make testing and profiling slightly easier. (Mainly changes are putting the for-loop logic into a function outside of the main and modifying for command line arguments instead of hard coding values.) | ||
| + | |||
| + | To profile the program, run this command. | ||
| + | |||
| + | $ | ||
=== Assignment 2 === | === Assignment 2 === | ||
=== Assignment 3 === | === Assignment 3 === | ||
Revision as of 01:51, 12 February 2017
GPU610/DPS915 | Student List | Group and Project Index | Student Resources | Glossary
Contents
Project Name Goes here
Team Members
- Matt Babol, Sudoku
- Jonathan Desmond, Some other responsibility
- Sallie Jiang, Some other responsibility
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Progress
Assignment 1
Sudoku Solver
Sudoku solver is a program that solves a sudoku puzzle. The user can input an existing file and have the program solve this, or can manually enter values to be solved. The sudoku puzzle is 9x9 in size. The data needs to be in a specific format for the program to work. There are 9 rows of values, with each cell/element in the row needing to be separated by a space. A value of 0 tells the program to solve this value.
Original source code can be found here.
Easy puzzle
To compile the program, open the terminal and go to the projects directory
$ g++ -std=c++0x -pg solver.cpp checks.cpp checksolution.cpp -o Sudoku
This will create an executable file called Sudoku. -pg is used for creating a gmon.out file, which will allow us to profile the program with arguments.
This is the easy sudoku puzzle that will be running through the program first. The file is saved as 'puzzle' in the same directory.
0 6 0 0 0 0 9 7 2 0 5 0 0 0 2 0 0 3 0 7 0 3 9 0 5 0 0 2 0 0 0 0 5 4 0 8 0 0 0 0 0 0 0 0 0 3 0 1 8 0 0 0 0 6 0 0 4 0 2 3 0 8 0 7 0 0 9 0 0 0 2 0 9 2 5 0 0 0 0 4 0
Run the code with
$ ./Sudoku puzzle
After the program is done running, the result is
1 6 3 4 5 8 9 7 2 4 5 9 7 1 2 8 6 3 8 7 2 3 9 6 5 1 4 2 9 7 1 6 5 4 3 8 5 8 6 2 3 4 1 9 7 3 4 1 8 7 9 2 5 6 6 1 4 5 2 3 7 8 9 7 3 8 9 4 1 6 2 5 9 2 5 6 8 7 3 4 1
Test Case
To profile the program, run this command.
$ gprof -p -b ./Sudoku gmon.out > Sudoku.flt
The profiling result
Flat profile: Each sample counts as 0.01 seconds. no time accumulated % cumulative self self total time seconds seconds calls Ts/call Ts/call name 0.00 0.00 0.00 4539 0.00 0.00 checkRow(int, int) 0.00 0.00 0.00 1620 0.00 0.00 checkColumn(int, int) 0.00 0.00 0.00 1120 0.00 0.00 placeNum(int, int) 0.00 0.00 0.00 698 0.00 0.00 checkSquare(int, int, int) 0.00 0.00 0.00 476 0.00 0.00 goBack(int&, int&) 0.00 0.00 0.00 2 0.00 0.00 print(int (*) [9]) 0.00 0.00 0.00 1 0.00 0.00 _GLOBAL__sub_I_sudoku 0.00 0.00 0.00 1 0.00 0.00 _GLOBAL__sub_I_temp 0.00 0.00 0.00 1 0.00 0.00 solveSudoku() 0.00 0.00 0.00 1 0.00 0.00 storePositions() 0.00 0.00 0.00 1 0.00 0.00 __static_initialization_and_destruction_0(int, int) 0.00 0.00 0.00 1 0.00 0.00 __static_initialization_and_destruction_0(int, int)
Hard puzzle
For the hard puzzle, below is the input file as well as the result
0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 8 5 0 0 1 0 2 0 0 0 0 0 0 0 5 0 7 0 0 0 0 0 4 0 0 0 1 0 0 0 9 0 0 0 0 0 0 0 5 0 0 0 0 0 0 7 3 0 0 2 0 1 0 0 0 0 0 0 0 0 4 0 0 0 9 9 8 7 6 5 4 3 2 1 2 4 6 1 7 3 9 8 5 3 5 1 9 2 8 7 4 6 1 2 8 5 3 7 6 9 4 6 3 4 8 9 2 1 5 7 7 9 5 4 6 1 8 3 2 5 1 9 2 8 6 4 7 3 4 7 2 3 1 9 5 6 8 8 6 3 7 4 5 2 1 9
The profiling results are
Flat profile: Each sample counts as 0.01 seconds. % cumulative self self total time seconds seconds calls s/call s/call name 47.27 7.83 7.83 622577597 0.00 0.00 checkRow(int, int) 18.63 10.92 3.09 223365661 0.00 0.00 checkColumn(int, int) 14.18 13.27 2.35 157353814 0.00 0.00 placeNum(int, int) 11.49 15.17 1.90 100608583 0.00 0.00 checkSquare(int, int, int) 4.29 15.89 0.71 69175252 0.00 0.00 goBack(int&, int&) 3.93 16.54 0.65 1 0.65 16.54 solveSudoku() 0.21 16.57 0.04 1 0.04 0.04 _GLOBAL__sub_I_sudoku 0.00 16.57 0.00 2 0.00 0.00 print(int (*) [9]) 0.00 16.57 0.00 1 0.00 0.00 _GLOBAL__sub_I_temp 0.00 16.57 0.00 1 0.00 0.00 storePositions() 0.00 16.57 0.00 1 0.00 0.00 __static_initialization_and_destruction_0(int, int) 0.00 16.57 0.00 1 0.00 0.00 __static_initialization_and_destruction_0(int, int)
Oil Painting
This program converts a regular image into a stylized oil painting, it uses OpenCV. The painting algorithm depends on the brush size and colour intensity. The program takes three command line arguments: int for brush size, int for intensity and file name of an image. Upon finishing, the program produces the original image along with the oil paint version and the total time required in seconds.
The original source code can be found here. However there have been some changes to make testing and profiling slightly easier. (Mainly changes are putting the for-loop logic into a function outside of the main and modifying for command line arguments instead of hard coding values.)
To profile the program, run this command.
$
