OpenCV Python实现拼图小游戏

1. OpenCV Python实现拼图小游戏的介绍

拼图游戏是一种非常传统的游戏,因为其可玩性和创造性不断地受到人们的追捧。随着技术不断地进步,拼图游戏也发生了许多变化,其中之一就是 OpenCV Python实现拼图小游戏。此游戏是基于图像处理技术和Python 编程实现的。因此,本文将详细介绍 OpenCV Python实现拼图小游戏的步骤和技术。

2.拼图小游戏的实现过程

2.1 导入库和设置难度级别

OpenCV和 numpy等库是重要的库。我将使用OpenCV库中的 imread和imshow 函数来处理图像。同时, level_of_difficulty变量将被设置,以确定有多少个图块(pieces)需要进行拼图。

import cv2

import numpy as np

# 设置初级-拼图块为6

level_of_difficulty = 6

2.2 读取原始图像,并根据难度级别将其分成若干份

读取原始图像,调整其大小,并确定块的大小。

#Load the image and get its dimension to calculate the block size

image = cv2.imread('image.png')

height, width = image.shape[:2]

# calculate the block size

block_size_w = int(width / np.sqrt(level_of_difficulty))

block_size_h = int(height / np.sqrt(level_of_difficulty))

根据 block_size_w和 block_size_h变量的值,将原始图像划分成若干块

# Store pieces here

pieces = []

for i in range(0, height - block_size_h + 1, block_size_h):

for j in range(0, width - block_size_w + 1, block_size_w):

# Slice the image

slice = image[i:i+block_size_h, j:j+block_size_w]

pieces.append(slice)

2.3 调整图块的位置和写入文件

通过打乱块的顺序来调整块的位置。并将图块写入文件,以方便玩家玩游戏。

# Shuffle the pieces

np.random.shuffle(pieces)

#Create a blank image just larger than original size

mixed_image = np.zeros(image.shape, dtype=image.dtype)

#Iterate through to cut and merge using the shuffled pieces array

current_position = [0,0]

for index, piece in enumerate(pieces):

upper_left = current_position

if current_position[0] + block_size_h > height:

current_position[0] = 0

current_position[1] += block_size_w

lower_right = current_position

mixed_image[upper_left[0]:lower_right[0], upper_left[1]:lower_right[1]] = piece

current_position[0] += block_size_h

# Save Image

cv2.imwrite('mixed_image.png', mixed_image)

2.4 创建一个简单的窗口,并捕获鼠标单击事件

在显示拼接后的图像之前,我们需要处理鼠标单击事件。因此,我们要在窗口中创建一段代码来执行这个任务。函数swap_positions将在每次单击鼠标时被调用。如果点击位置与正确的位置相同,则图块将被置换。

#Define mouse callback function

def swap_positions(event, x1, y1, flags, params):

global pieces, mixed_image, block_size_h, block_size_w

if event == cv2.EVENT_LBUTTONUP:

#Identify row and column

row = y1 // block_size_h

col = x1 // block_size_w

#Get piece index

piece_index = row * int(np.sqrt(len(pieces))) + col

print('Piece index is: ', piece_index)

# Get the locations of each piece

piece_row_loc, piece_col_loc = np.where(pieces == piece_index)

mixed_row_loc, mixed_col_loc = np.where(mixed_image == piece_index)

if piece_index not in pieces_found:

# Swap positions

pieces[piece_row_loc[0]][piece_col_loc[0]] = mixed_image[mixed_row_loc[0]][mixed_col_loc[0]]

mixed_image[mixed_row_loc[0]][mixed_col_loc[0]] = piece_index

#Add to found list

pieces_found.append(piece_index)

# Rebuilding board

current_position = [0,0]

for index, piece in enumerate(pieces):

upper_left = current_position

if current_position[0] + block_size_h > height:

current_position[0] = 0

current_position[1] += block_size_w

lower_right = current_position

mixed_image[upper_left[0]:lower_right[0], upper_left[1]:lower_right[1]] = piece

current_position[0] += block_size_h

#If we have solved the puzzle

if len(pieces_found) == len(pieces):

print('Congratulations !')

# Move piece into empty

cv2.imshow('Puzzle Image', mixed_image)

2.5 显示图像

通过以下代码行,显示拼接后的图像。还要更新位置并设置鼠标单击事件。

#Create window and display image

pieces_found = []

cv2.namedWindow('Puzzle Image')

cv2.imshow('Puzzle Image', mixed_image)

# Mouse Callback

cv2.setMouseCallback('Puzzle Image', swap_positions)

cv2.waitKey(0)

cv2.destroyAllWindows()

3. 结论

通过本文的介绍,我们可以看到 OpenCV Python实现拼图小游戏的过程和技术。总的来说,拼图小游戏是一项非常具有挑战性和创造性的工作。实现它需要基于图像处理技术的编程技能、创新思想和想象力。希望,这篇文章将能够帮助读者了解 OpenCV Python实现拼图小游戏,并进一步开拓他们的思路。

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