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。