jashliao 用 VC++ 實現 fanfuhan OpenCV 教學013 ~ opencv-013-圖片XY翻轉[flip()-(顛倒/轉向/旋轉)]

資料來源: https://fanfuhan.github.io/

https://fanfuhan.github.io/2019/03/27/opencv-013/

GITHUB:https://github.com/jash-git/fanfuhan_ML_OpenCV

https://github.com/jash-git/jashliao-implements-FANFUHAN-OPENCV-with-VC

★前言:

★主題:

    OPENCV提供一個直接對圖像X/Y軸進行翻轉的函數flip()，其翻轉參數條列如下:

        X軸翻轉，flipcode = 0
        Y軸翻轉, flipcode = 1

        XY軸翻轉, flipcode = -1

★C++

// VC_FANFUHAN_OPENCV013.cpp : 定義主控台應用程式的進入點。
//
/*
// Debug | x32
通用屬性
| C/C++
|	| 一般
|		| 其他 Include 目錄 -> C:\opencv\build\include
|
| 連結器
| 	|一一般
|		|  其他程式庫目錄 -> C:\opencv\build\x64\vc15\lib
|
| 	|一輸入
|		| 其他相依性 -> opencv_world411d.lib;%(AdditionalDependencies)
// Releas | x64
組態屬性
| C/C++
|	| 一般
|		| 其他 Include 目錄 -> C:\opencv\build\include
|
| 連結器
| 	|一般
|		| 其他程式庫目錄 -> C:\opencv\build\x64\vc15\lib
|
| 	|一輸入
|		| 其他相依性 -> opencv_world411.lib;%(AdditionalDependencies)
*/
#include "stdafx.h"
#include <iostream>
#include <opencv2/opencv.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>

using namespace std;
using namespace cv;

void pause()
{
	printf("Press Enter key to continue...");
	fgetc(stdin);
}
int main()
{
	Mat src_bgr = imread("../../images/test.png");

	if (src_bgr.empty())
	{
		cout << "could not load image.." << endl;
		pause();
		return -1;
	}
	else
	{
		imshow("input_bgr", src_bgr);
		Mat dst;
		/*
		flipCode	Anno
		1			水平翻转
		0			垂直翻转
		-1			水平垂直翻转
		*/
		// X轴 倒影
		flip(src_bgr, dst, 0);
		imshow("x_flip", dst);

		// Y轴 镜像
		flip(src_bgr, dst, 1);
		imshow("y_flip", dst);

		// XY轴 对角
		flip(src_bgr, dst, -1);
		imshow("xy_flip", dst);

		waitKey(0);
	}

	return 0;
}

★Python

import cv2 as cv
import numpy as np

src = cv.imread("D:/vcprojects/images/test.png")
cv.namedWindow("input", cv.WINDOW_AUTOSIZE)
cv.imshow("input", src)

# X Flip 倒影
dst1 = cv.flip(src, 0);
cv.imshow("x-flip", dst1);

# Y Flip 镜像
dst2 = cv.flip(src, 1);
cv.imshow("y-flip", dst2);

# XY Flip 对角
dst3 = cv.flip(src, -1);
cv.imshow("xy-flip", dst3);

# custom y-flip
h, w, ch = src.shape
dst = np.zeros(src.shape, src.dtype)
for row in range(h):
    for col in range(w):
        b, g, r = src[row, col]
        dst[row, w - col - 1] = [b, g, r]
cv.imshow("custom-y-flip", dst)

cv.waitKey(0)
cv.destroyAllWindows()

★結果圖:

★延伸說明/重點回顧: