<prompt> Etsa lenaneo la khomphieutha le ka batlisisang tikoloho ea lona bakeng sa bolo e khubelu.nan  <response>: Instruction in English: Create a computer program that can search its environment for a red ball. . Response in English: Here is an example of a Python program that can search for a red ball in an image using the OpenCV computer vision library:pythonimport cv2import numpy as np Load the image into a variableimage cv2.imreadimage.jpg Convert the image from BGR to HSV color spacehsv cv2.cvtColorimage, cv2.COLOR_BGR2HSV Define the range of red color in HSVlower_red np.array0, 120, 70upper_red np.array10, 255, 255 Create a mask to only select the red color pixelsmask cv2.inRangehsv, lower_red, upper_red Use the mask to select the red color pixels in the original imageresult cv2.bitwise_andimage, image, maskmask Convert the result image to grayscaleresult_gray cv2.cvtColorresult, cv2.COLOR_BGR2GRAY Detect circles in the greyscale image using the HoughCircles methodcircles cv2.HoughCirclesresult_gray, cv2.HOUGH_GRADIENT, 1, 20, param150, param230, minRadius0, maxRadius0 Check if any circles were foundif circles is not None: Convert the x, y coordinates and radius of the circles to integers circles np.roundcircles0, :.astypeint Loop over the x, y coordinates and radius of the circles for x, y, r in circles: Draw the circle in the output image cv2.circleimage, x, y, r, 0, 255, 0, 4 Put a text to indicate that red ball is found cv2.putTextimage, Red Ball Found, x - 50, y - 50, cv2.FONT_HERSHEY_SIMPLEX, 0.6, 0, 255, 0, 2else: Put a text to indicate that red ball is not found cv2.putTextimage, Red Ball Not Found, 50, 50, cv2.FONT_HERSHEY_SIMPLEX, 1, 0, 0, 255, 2 Display the output imagecv2.imshow . Response in Sesotho: Mohlala ke ona oa lenaneo la Python le ka batlang bolo e khubelu setšoantšong ka ho sebelisa laeborari ea pono ea komporo ea OpenCV: python import cv2 import numpy as np Laela setšoantšo setšoantšong se feto-fetohang cv2.imreadimage .jpg Fetolela senepe ho tloha ho BGR ho ea ho HSV sebaka sa mebala hsv cv2.cvtColorsetšoantšo, cv2.COLOR_BGR2HSV Hlalosa mofuta oa mebala e khubelu ho HSV lower_red np.array0, 120, 70 upper_red np.array10, 255, 255 Theha mask ho khetha feela mask a mebala e khubelu ea pixels cv2.inRangehsv, lower_red, upper_red Sebelisa mask ho khetha lipikselse tsa mebala e khubelu setšoantšong sa mantlha sephetho cv2.bitwise_lesetšoantšo, setšoantšo, maskmask Fetolela setšoantšo sa sephetho ho grayscale result_gray cv2.cvtColorsephetho, cv2.COLOR_BGR2GRAY Lekola selikalikoe setšoantšong se boputsoa u sebelisa mokhoa oa HoughCircles circles cv2.HoughCircles result_gray, cv2.HOUGH_GRADIENT, 1, 20, param150, param230, minRadius0, maxRadius0 Sheba hore na ho na le li-circles tse fumanoeng haeba li-circles li se Che: Fetola x, y likhokahano le radius ya didikadikwe ho ya ho didikadikwe tse feletseng np.rounddidikadikwe0, :.astypeint Lula holima x, y likhokahano le radius ea selikalikoe bakeng sa x, y, r selikalikoe : Thala selikalikoe setšoantšong sa tlhahiso cv2.circlesetšoantšo, x, y, r, 0, 255, 0, 4 Beha mongolo ho bontša hore bolo e khubelu e fumanoe cv2.putTextsetšoantšo, Red Ball Found, x - 50, y - 50, cv2.FONT_HERSHEY_SIMPLEX, 0.6, 0, 255, 0, 2 tse ling: Beha mongolo ho bontša hore bolo e khubelu ha e fumanehe cv2.putText setšoantšo, Red Ball Ha e Fumane, 50, 50, cv2.FONT_HERSHEY_SIMPLEX, 1, 0, 0, 255, 2 Hlahisa setšoantšo sa tlhahiso cv2.imshow 