이상진

[lsj0202]

hand game.py

import cv2 import mediapipe as mp import numpy as np

max_num_hands = 2 gesture = { 0:'fist', 1:'one', 2:'two', 3:'three', 4:'four', 5:'five', 6:'six', 7:'rock', 8:'spiderman', 9:'yeah', 10:'ok', } rps_gesture = {0:'rock', 5:'paper', 9:'scissors', 2:'scissors'}

mp_hands = mp.solutions.hands mp_drawing = mp.solutions.drawing_utils hands = mp_hands.Hands( max_num_hands=max_num_hands, min_detection_confidence=0.5, min_tracking_confidence=0.5)

file = np.genfromtxt('data/gesture_train.csv', delimiter=',') angle = file[:,:-1].astype(np.float32) label = file[:, -1].astype(np.float32) knn = cv2.ml.KNearest_create() knn.train(angle, cv2.ml.ROW_SAMPLE, label)

cap = cv2.VideoCapture(0)

while cap.isOpened(): ret, img = cap.read() if not ret: continue

img = cv2.flip(img, 1)
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)

result = hands.process(img)

img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)

if result.multi_hand_landmarks is not None:
    rps_result = []

    for res in result.multi_hand_landmarks:
        joint = np.zeros((21, 3)) #21개의 관절을 x,y,z좌표를 저장
        for j, lm in enumerate(res.landmark):
            joint[j] = [lm.x, lm.y, lm.z]

        v1 = joint[[0,1,2,3,0,5,6,7,0,9,10,11,0,13,14,15,0,17,18,19],:] #부모 관절
        v2 = joint[[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20],:] #자식 관절
        v = v2 - v1 # [20,3]

        v = v / np.linalg.norm(v, axis=1)[:, np.newaxis]

        angle = np.arccos(np.einsum('nt,nt->n',
            v[[0,1,2,4,5,6,8,9,10,12,13,14,16,17,18],:], 
            v[[1,2,3,5,6,7,9,10,11,13,14,15,17,18,19],:])) # [15,]

        angle = np.degrees(angle) 

        data = np.array([angle], dtype=np.float32)
        ret, results, neighbours, dist = knn.findNearest(data, 3)
        idx = int(results[0][0])

        if idx in rps_gesture.keys():
            # org = (int(res.landmark[0].x * img.shape[1]), int(res.landmark[0].y * img.shape[0]))
            # cv2.putText(img, text=rps_gesture[idx].upper(), org=(org[0], org[1] + 20), fontFace=cv2.FONT_HERSHEY_SIMPLEX, fontScale=1, color=(100, 35, 25), thickness=2)

            # rps_result.append({
            #     'rps': rps_gesture[idx], # 제스처 결과를 저장 
            #     'org': org # 두개의 손의 위치 
            # })
            org = (int(res.landmark[0].x * img.shape[1]), int(res.landmark[0].y * img.shape[0]))
            cv2.putText(img, text=rps_gesture[idx].upper(), org=(org[0], org[1] + 20), fontFace=cv2.FONT_HERSHEY_SIMPLEX, fontScale=1, color=(100, 35, 25), thickness=2)

            rps_result.append({
                'rps': rps_gesture[idx], # 제스처 결과를 저장 
                'org': org
            })

        mp_drawing.draw_landmarks(img, res, mp_hands.HAND_CONNECTIONS)

        if len(rps_result) >= 2: # 손이 2개 이상이면 실행 
            winner = None
            text = ''

            if rps_result[0]['rps']=='rock': # 첫 번째 사람이 바위를 냈을 때 
                if rps_result[1]['rps']=='rock'     : text = 'Draw'
                elif rps_result[1]['rps']=='paper'  : text = 'Paper wins'  ; winner = 1
                elif rps_result[1]['rps']=='scissors': text = 'Rock wins'   ; winner = 0
            elif rps_result[0]['rps']=='paper': # 첫 번째 사람이 보를 냈을 때 
                if rps_result[1]['rps']=='rock'     : text = 'Paper wins'  ; winner = 0
                elif rps_result[1]['rps']=='paper'  : text = 'Draw'
                elif rps_result[1]['rps']=='scissors': text = 'Scissors wins'; winner = 1
            elif rps_result[0]['rps']=='scissors': # 첫 번째 사람이 가위를 냈을 때 
                if rps_result[1]['rps']=='rock'     : text = 'Rock wins'   ; winner = 1
                elif rps_result[1]['rps']=='paper'  : text = 'Scissors wins'; winner = 0
                elif rps_result[1]['rps']=='scissors': text = 'Draw'

            if winner is not None: # 누가 뭘 냈는지 표시함
                cv2.putText(img, text='Winner', org=(rps_result[winner]['org'][0], rps_result[winner]['org'][1] + 70), fontFace=cv2.FONT_HERSHEY_SIMPLEX, fontScale=2, color=(0, 255, 0), thickness=3)
            cv2.putText(img, text=text, org=(int(img.shape[1] / 2), 100), fontFace=cv2.FONT_HERSHEY_SIMPLEX, fontScale=2, color=(100, 0, 255), thickness=3)

cv2.imshow('Game', img)
if cv2.waitKey(1) == ord('q'):
    break

gesture_train.csv

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