AI_Trainer/poseModule.py at main · Sujeesh19/AI_Trainer · 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
import cv2
import mediapipe as mp
import time
import math


class PoseDetector():
    def __init__(self, mode=False, upperBody=False, smooth=False, detectionCon=0.5, trackCon=0.5):
        self.mode = mode
        self.upperBody = upperBody
        self.smooth = smooth
        self.detectionCon = detectionCon
        self.trackCon = trackCon

        self.mpDraw = mp.solutions.drawing_utils
        self.mpPose = mp.solutions.pose
        self.pose = self.mpPose.Pose(self.mode, self.upperBody, self.smooth, self.detectionCon, self.trackCon)

    def findPose(self, img, draw=True):

        imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        self.results = self.pose.process(imgRGB)
        if self.results.pose_landmarks:
            if draw:
                self.mpDraw.draw_landmarks(img, self.results.pose_landmarks, self.mpPose.POSE_CONNECTIONS)

        return img

    def findPosition(self, img, draw=True):
        self.lm = []
        if self.results.pose_landmarks:
            for id, ln in enumerate(self.results.pose_landmarks.landmark):
                h, w, c = img.shape
                cx, cy = int(ln.x * w), int(ln.y * h)
                self.lm.append([id, cx, cy])
                if draw:
                    cv2.circle(img, (cx, cy), 5, (255, 0, 0), cv2.FILLED)
        return self.lm

    def findAngle(self, img, p1, p2, p3, draw=True):

        # Get the landmark
        x1, y1 = self.lm[p1][1:]
        x2, y2 = self.lm[p2][1:]
        x3, y3 = self.lm[p3][1:]

        # calculate the angle
        angle = math.degrees(math.atan2(y3-y2, x3-x2) - math.atan2(y1-y2, x1-x2))
        if angle < 0:
            angle += 360

        # print(angle)

        if draw:
            cv2.line(img, (x1, y1), (x2, y2), (0, 0, 0), 3)
            cv2.line(img, (x2, y2), (x3, y3), (0, 0, 0), 3)
            cv2.circle(img, (x1, y1), 5, (0, 0, 255), cv2.FILLED)
            cv2.circle(img, (x1, y1), 10, (0, 0, 255), 2)
            cv2.circle(img, (x2, y2), 5, (0, 0, 255), cv2.FILLED)
            cv2.circle(img, (x2, y2), 10, (0, 0, 255), 2)
            cv2.circle(img, (x3, y3), 5, (0, 0, 255), cv2.FILLED)
            cv2.circle(img, (x3, y3), 10, (0, 0, 255), 2)
            # cv2.putText(img, str(int(angle)), (x2-20, y2+50), cv2.FONT_HERSHEY_PLAIN, 2, (255, 0, 255), 2)
        return angle


def main():
    cap = cv2.VideoCapture('G:/pose_estimation/2.mp4')
    ptime = 0
    detector = PoseDetector()
    while True:
        success, img = cap.read()
        img = detector.findPose(img)
        lm = detector.findPosition(img, draw=False)
        '''if len(lm) != 0:
            print(lm[14])
            cv2.circle(img, (lm[14][1], lm[14][2]), 10, (255, 0, 0), cv2.FILLED)'''

        ctime = time.time()
        fps = 1 / (ctime - ptime)
        ptime = ctime

        cv2.putText(img, str(int(fps)), (70, 50), cv2.FONT_HERSHEY_PLAIN, 3, (255, 0, 255), 3)
        cv2.imshow("Image", img)

        cv2.waitKey(1)


if __name__ == "__main__":
    main()