HandTrackingProject/HandTrackingModule.py at main · mustafa-meco/HandTrackingProject · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
import cv2
import mediapipe as mp
import time
import math


class handDetector():
    def __init__(self, mode= False, maxHands= 2, detectionCon=0.5,trackCon=0.5):
        self.mode = mode
        self.maxHands = maxHands
        self.detectionCon = detectionCon
        self.trackCon = trackCon

        self.mpHands = mp.solutions.hands
        self.hands = self.mpHands.Hands(self.mode,self.maxHands,self.detectionCon,self.trackCon)
        self.mpDraw = mp.solutions.drawing_utils
        self.tipIds = [4,8,12,16,20]

    def findHands(self, img, draw = True):
        imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        self.results = self.hands.process(imgRGB)
        #print(results.multi_hand_landmarks)

        if self.results.multi_hand_landmarks:
            for handLms in self.results.multi_hand_landmarks:
                if draw:
                    self.mpDraw.draw_landmarks(img, handLms, self.mpHands.HAND_CONNECTIONS)
        return img

    def findPosition(self, img, handNo = 0, draw = True):

        xList = []
        yList = []
        bbox = []

        self.lmList = []

        if self.results.multi_hand_landmarks:
            myHand = self.results.multi_hand_landmarks[handNo]
            for id, lm in enumerate(myHand.landmark):
                #print(id,lm)
                h, w, c = img.shape
                cx, cy = int(lm.x*w), int(lm.y*h)
                xList.append(cx)
                yList.append(cy)
                #print(id, cx, cy)
                self.lmList.append([id,cx,cy])
                if draw:
                    cv2.circle(img, (cx,cy), 7, (255,0,0),cv2.FILLED)

            xmin, xmax = min(xList), max(xList)
            ymin, ymax = min(yList), max(yList)
            bbox = xmin, ymin, xmax, ymax

        return self.lmList, bbox
    def fingersUp(self):
        fingers = []
        # thumb
        if self.lmList[self.tipIds[0]][1] < self.lmList[self.tipIds[4]][1]:
            if self.lmList[self.tipIds[0]][1] < self.lmList[self.tipIds[0] - 1][1]:
                fingers.append(1)
            else:
                fingers.append(0)
        else:
            if self.lmList[self.tipIds[0]][1] > self.lmList[self.tipIds[0] - 1][1]:
                fingers.append(1)
            else:
                fingers.append(0)

        for id in range(1, 5):
            if self.lmList[self.tipIds[id]][2] < self.lmList[self.tipIds[id] - 2][2]:
                fingers.append(1)
            else:
                fingers.append(0)
        return fingers

    def findDistance(self, p1, pw, img, draw=True, r=15, t=3):
        x1, y1 = self.lmList[p1][1], self.lmList[p1][2]
        x2, y2 = self.lmList[pw][1], self.lmList[pw][2]
        cx, cy = (x1 + x2) // 2, (y1 + y2) // 2

        color = (189, 100, 55)

        if draw:
            cv2.circle(img, (x1, y1), 15, color, cv2.FILLED)
            cv2.circle(img, (x2, y2), 15, color, cv2.FILLED)
            cv2.line(img, (x1, y1), (x2, y2), color, 3)
            cv2.circle(img, (cx, cy), 15, color, cv2.FILLED)
        length = math.hypot(x2 - x1, y2 - y1)

        return length, img, [x1, y1, x2, y2, cx, cy]

def main():
    pTime = 0
    cTime = 0
    cap = cv2.VideoCapture(0)
    detector = handDetector()

    while True:
        success, img = cap.read()
        img = detector.findHands(img)
        lmList = detector.findPosition(img)
        if len(lmList) !=0:
            print(lmList[4])

        cTime = time.time()
        fps = 1 / (cTime - pTime)
        pTime = cTime

        cv2.putText(img, str(int(fps)), (10, 70), cv2.FONT_HERSHEY_PLAIN, 3, (255, 0, 255), 3)

        cv2.imshow("Image", img)
        cv2.waitKey(1)


if __name__ == "__main__":
    main()