In this task we have to put Aruco Markers on the squares of different colours. Each aruco marker of different id is used on different colour according to the table given in the problem statement. Firstly the Contour of the shapes are determined and then the shape got determined by the help of the various cv2 functions. After detemining the Number of squares we have found the colour of different squares by using the hsv trackbars values. After that we have found out the respective id of the aruco markers with the help of the function findAruco which was made with the help of several cv2 functions. Then a for loop is used to rotate and crop each marker according to its coordinate. Then the image of Aruco markers got rotated by the rotation function and then just pasted the image on their respective squares of different colours. The colours and the aruco ids are mentioned here :) Green----->1 Orange----->2 Black------>3 Pink-Peach----->4

Functions used in the code are-: rotation --> Used to Rotate the image according to the specified angles. augumented --> Used for Image Augumentation. findAruco --> Used to find the ids of different Aruco Markers. countorfind --> Used for the shape detection. Functions which are in-built in opencv and numpy-: cv2.getRotationMatrix2D cv2.warpAffine cv2.findHomography cv2.warpPerspective cv2.fillConvexPoly cv2.imread cv2.cvtColor cv2.aruco.detectMarkers cv2.threshold cv2.findContours cv2.approxPolyDP cv2.RETR_TREE cv2.CHAIN_APPROX_NONE cv2.boundingRect cv2.minAreaRect cv2.boxPoints cv2.drawContours cv2.putText cv2.resize cv2.cvtColor cv2.inRange cv2.bilateralFilter cv2.GaussianBlur cv2.imshow cv2.waitKey cv2.destroyAllWindows Numpy functions are-: np.array np.float32 Math functions-: math.atan

Hence by using all the above functions the project is completed:)