Installation<\/h3>\n
Open Windows cmd as administrator<\/strong><\/p>\n 1. Install the OpenCV library by running the command in the command prompt.<\/p>\n To implement this Virtual Puzzle game, follow the below steps.<\/strong><\/p>\n 1. In this game, some packages are required. First of all, we are importing it.<\/p>\n 2. Create a list of the different images that will be used in the game and initialize the current_level variable with 0.<\/p>\n 3. Start the while loop.<\/p>\n 4. It selects an image based on the current level, defines grid dimensions and cell size, sets a maximum time limit, reads and resizes the image, and shuffles the order of gris cells for the puzzle.<\/p>\n 5. This function randomly shuffles the order of the puzzle pieces within a 3*3 grid. It returns the shuffled grid, which represents the new order of the puzzle pieces.<\/p>\n 6. This function displays the puzzle pieces in their shuffled order, highlights the selected piece in green color and displays the \u201ccongratulations\u201d message if the puzzle is solved within\u00a0 time limit.<\/p>\n 7. This function is responsible for checking if the puzzle is solved or not by comparing the current grid order.<\/p>\n 8. Initialize two variables with none and false.<\/p>\n 9. This function handles mouse callback events, selects grids and swaps grids, checks for the solved puzzle flag, and updates the puzzle according to the user\u2019s interactions.<\/p>\n 10. This function creates the window using opencv. It sets up a mouse callback function to handle user interactions with the puzzle game. start_time is initialized to the current time.<\/p>\n 11. This loop runs until the puzzle game is solved or the time limit is reached. It tracks the time. If the time limit is exceeded, it shows the \u201cTime’s up! You lose\u201d message. If the key \u2018q\u2019 is pressed, the game will stop executing.<\/p>\npip install opencv-python<\/pre>\n
Let\u2019s Implement It<\/h3>\n
import cv2\r\nimport numpy as np\r\nimport random\r\nimport time<\/pre>\n
image_path = ['mahesh.jpeg','ms-dhoni.jpeg','apple.jpeg']\r\ncurrent_level = 0<\/pre>\n
while current_level < len(image_path):<\/pre>\n
img_path = image_path[current_level]\r\nt_row, t_col = 3, 3\r\ngrid_w, grid_h = 250, 250\r\nshuffle_iteration = 200\r\ntime_max = [90, 60, 30]\r\nmax_time = time_max[current_level]\r\nimg = cv2.imread(img_path)\r\nimg = cv2. resize(img, (t_col * grid_w, t_row * grid_h))<\/pre>\n
def puz_shuffle():\r\n grid = [(row,col) for row in range(t_row) for col in range(t_col)]\r\n random.shuffle(grid)\r\n return grid\r\ngrid_order = puz_shuffle()<\/pre>\n
def draw_puz(img, grid_order, selected_grid, puz_solved,max_time):\r\n puz_img = np.zeros_like(img)\r\n grid_h, grid_w = img.shape[0] \/\/ t_row, img.shape[1] \/\/ t_col\r\n for r in range(t_row):\r\n for c in range(t_col):\r\n row, col = grid_order[r * t_col + c]\r\n grid = img[row * grid_h:(row+1) * grid_h, col * grid_w:(col+1) * grid_w]\r\n puz_img[r * grid_h:(r+1) * grid_h, c*grid_w:(c+1)*grid_w] = grid\r\n if selected_grid is not None:\r\n r, c = selected_grid\r\n cv2.rectangle(puz_img, (c*grid_w, r*grid_h), ((c+1) * grid_w, (r+1)*grid_h),(0,255,0),2)\r\n if puz_solved:\r\n cv2.putText(puz_img, \"Congratulations! You solved the puzzle!\", (30, grid_h \/\/ 2), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)\r\n else:\r\n cv2.putText(puz_img, \"Time Remaining: {}s\".format(max_time), (30, grid_h \/\/ 2), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 2)\r\n return puz_img<\/pre>\ndef is_puzzle_solved(grid_order):\r\n return all(grid_order[i] == (i\/\/t_col, i%t_col) for i in range(len(grid_order)))<\/pre>\n
selected_grid = None\r\npuz_solved = False<\/pre>\n
def mouse_callback(event, x, y, flag, param):\r\n global grid_order, selected_grid, puz_solved\r\n if event == cv2.EVENT_LBUTTONDOWN:\r\n col = x\/\/grid_w\r\n row = y\/\/grid_h\r\n emp_row, emp_col = grid_order[-1]\r\n if (row, col) == (emp_row, emp_col):\r\n return\r\n if selected_grid is None:\r\n selected_grid = (row, col)\r\n else:\r\n row_selected, col_selected = selected_grid\r\n if abs(row - row_selected) + abs(col - col_selected) == 1:\r\n selected_index = row_selected * t_col + col_selected\r\n clicked_index = row * t_col + col\r\n grid_order[selected_index], grid_order[clicked_index] = grid_order[clicked_index], grid_order[selected_index]\r\n selected_grid = None \r\n puz_solved = is_puzzle_solved(grid_order)\r\n puzzle_image = draw_puz(img, grid_order, selected_grid, puz_solved, max_time - elapsed_time_seconds)\r\n cv2.imshow('Virtual Puzzle By TechVidvan', puzzle_image)<\/pre>\ncv2.namedWindow('Virtual Puzzle By TechVidvan')\r\ncv2.setMouseCallback('Virtual Puzzle By TechVidvan', mouse_callback)\r\nstart_time = time.time()<\/pre>\nwhile True:\r\n elapsed_time_seconds = int(time.time() - start_time)\r\n if elapsed_time_seconds >= max_time:\r\n print(\"Time's up! You lose!\")\r\n cv2.putText(img, \"Time's up! You lose!\", (30, grid_h \/\/ 2), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)\r\n cv2.imshow('Virtual Puzzle By TechVidvan', img)\r\n puzzle_solved = False\r\n break\r\n \r\n puzzle_image = draw_puz(img, grid_order, selected_grid, puz_solved, max_time - elapsed_time_seconds)\r\n cv2.imshow('Virtual Puzzle By TechVidvan', puzzle_image)\r\n \r\n if puz_solved:\r\n break\r\n \r\n key = cv2.waitKey(1)\r\n if key == ord('q'):\r\n break\r\ncv2.waitKey(2000) \r\ncv2.destroyAllWindows()\r\ncurrent_level += 1<\/pre>\nPython OpenCV Virtual Puzzle Game Output:<\/h3>\n
![\"opencv](\"https:\/\/techvidvan.com\/tutorials\/wp-content\/uploads\/sites\/2\/2023\/09\/opencvVirtual-Puzzle-Game.webp\")
<\/a><\/p>\n![\"opencv](\"https:\/\/techvidvan.com\/tutorials\/wp-content\/uploads\/sites\/2\/2023\/09\/opencv-Virtual-Puzzle-Game-output-.webp\")
<\/a><\/p>\nPython OpenCV Virtual Puzzle Game Video Output<\/h3>\n
![\"OpenCV](\"https:\/\/techvidvan.com\/tutorials\/wp-content\/uploads\/sites\/2\/2024\/01\/OpenCV-Virtual-Puzzle-Game-Video-Output.webp\")
<\/a><\/p>\n