To run the code, make sure you have: python 2.7, opencv 2.4.9
The effect is as follows:
The algorithm is as follows:
Process the image first, the process:
1. Obtain the contour by subtracting the swelled image from the etched image.
2. Obtain images with binarization
3. Inverted
After the above processing, the picture is:
This is simple, and design a way to distinguish the three images.
code show as below:
# -*- coding: cp936 -*- import cv2 import numpy import TIme import random import os def judge( ): # construct a 3&TImes;3 structural element # return 0 stone ,1 jiandao, 2 bu img = cv2.imread( "wif.jpg",0) element = cv2.getStructuringElement(cv2.MORPH_RECT,(11,11)) dilate = cv2.dilate(img, element) erode = cv2.erode(img, element) #对两图片相Subtracting the obtained edge, the first parameter is the expanded image, the second parameter is the corrupted image result = cv2.absdiff(dilate, erode); # The result obtained above is the grayscale image, which is binarized so that A clearer observation retval, result = cv2.threshold(result, 40, 255, cv2.THRESH_BINARY); #å色, that is, the inverse of each pixel of the binary image result = cv2.bitwise_not(result); result =cv2 .medianBlur(result,23) a=[] posi =[] width =[] count = 0 area = 0 for i in range(result.shape[1]): for j in range(result.shape[0]) : if(result[j][i]==0): area+=1 for i in range(result.shape[1]): if(result[5*result.shape[0]/16][i]= =0 and result[5*result.shape[0]/16][i-1]!=0 ): count+=1 width.a Ppend(0) posi.append(i) if(result[5*result.shape[0]/16][i]==0): width[count-1]+=1 """ print 'the pic width Is ',result.shape[1],'' for i in range(count): print 'the ',i,'th',' ','is'; print 'width ',width[i] print 'posi ',posi[i],'' print count,'' print 'area is ',area,'' cv2.line(result,(0,5*result.shape[0]/16),(214,5* Result.shape[0]/16),(0,0,0)) cv2.namedWindow("fcuk") cv2.imshow("fcuk",result) cv2.waitKey(0) """ #determine time width_length= 0 width_jiandao = True for i in range(count): if width[i]>45: #print 'bu1'; return 2; if width[i]<=20 or width[i]>=40: width_jiandao= False width_length += width[i] if width_jiandao==True and count==2: return 1; if(area <8500): #print 'shi tou'; return 0; print "width_leng",width_length if(width_length<35): #This time indicates that the photo is down, so you need to re-measure. a=[] posi =[] width =[] count = 0 for i in range(result.shape[1]): if(result[11*result.shape[0]/16][i]==0 and Result[11*result.shape[0]/16][i-1]!=0 ): count+=1 width.append(0) posi.append(i) if(result[11*result.shape[0] /16][i]==0): width[count-1]+=1 """ print 'the pic width is ',result.shape[1],'' for i in range(count): print ' The ',i,'th',' ','is'; print 'width ',width[i] print 'posi ',posi[i],'' print count,'' print 'area is ',area, '' """ width_length=0 width_jiandao = True for i in range(count): if width[i]>45: #print 'bu1'; return 2; if width[i]<=20 or width[i]> =40: width_jiandao= False width_length += width[i] if width_jiandao==True and count==2: return 1; if(area>14000 or count>=3): #print 'bu2'; return 2; if( Width_length<110): #print 'jian dao'; return 1; else: #print 'bu3'; return 2; """ print("This is a rock-paper-scissor game played by the camera, enter y to start") s = raw_input() capture = cv2.VideoCapture(0) cv2.namedWindow("camera",1) start_TIme = TIme.time() print("Give you 5 The time of the second is placed in the position of the box") while(s=='y' or s=='Y'): ha,img =capture.read() end_time = time.time() cv2.rectangle(img ,(426,0),(640,250),(170,170,0)) cv2.putText(img,str(int((5-(end_time- start_time))))), (100,100), cv2.FONT_HERSHEY_SIMPLEX, 2, 255 Cv2.imshow("camera",img) if(end_time-start_time>5): break if(cv2.waitKey(30)>=0): break ha,img = capture.read() capture.release() cv2 .imshow("camera",img) img = img[0:210,426:640] cv2.imwrite("wif.jpg",img) judge() cv2.waitKey(0) print "fuck" """ def game( ): fuck =[] fuck.append("stone") fuck.append("scissors") fuck.append("cloth") capture = cv2.VideoCapture(0) cv2.namedWindow("camera",1) start_time = Time.time() print("Give you 5 seconds to put the handle to the position of the box") while(1): ha,img =capture.read() end_time = time.time() cv2.rectangle(img, (426,0),(640,250),(170,170,0)) cv2.putText(img,str(int((5-(end_time- start_time))))), (100,100), cv2.FONT_HERSHEY_SIMPLEX, 2, 255) Cv2.imshow("camera",img) if(end_time-start_time>5): break if(cv2. waitKey(30)>=0): break ha,img = capture.read() capture.release() cv2.imshow("camera",img) img = img[0:210,426:640] cv2.imwrite("wif .jpg",img) p1 = judge() pc = random.randint(0,2) #print p1,' ',pc,'' print "You are out, "fuck[p1]," the computer is ",fuck[pc],"" cv2.destroyAllWindows() if(p1==pc): print "draw" return 0 if((p1==0 and pc ==1) or(p1==1 and pc = =2)or(p1==2 and pc ==0)): print 'you won' return 1 else: print 'you lost' return -1 def main(): you_win=0 pc_win=0 print(" This is a rock-paper-scissor game played by the camera. Please enter the carriage return to start the game") s = raw_input() while(1): print "score (player: computer)", you_win, ":", pc_win, ' ' s = raw_input() os.system('cls') ans =game() if(ans == 1): you_win+=1 elif(ans == -1): pc_win+=1 print "To reduce false positives, please As much as possible, occupy the largest possible frame "main()TFT LCD Arduino
TFT LCD Arduino,Active Matrix,LCD Module
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