PoseEstimation/PoseModule.py at main · AnabelBerumen/PoseEstimation · GitHub

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import cv2
import mediapipe as mp #rgb
import time

class poseDetector():

    def __init__(self, mode = False, model_complexity = 1,  upBody = False, smooth = True,
                 detectionCon = 0.5, trackCon = 0.5):

        self.mode = mode
        self.model_complexity = model_complexity
        self.upBody = upBody
        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.model_complexity, self.upBody, self.smooth,
                                     self.detectionCon, self.trackCon)


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

        # convert the image
        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):
        # list for line marks
        lmList = []
        # if the results are availables
        if self.results.pose_landmarks:
           for id, lm in enumerate(self.results.pose_landmarks.landmark):


                # height width chanel
                h, w, c = img.shape
                # print(id, lm)
                cx, cy = int(lm.x * w), int(lm.y * h)
                # append only x and y values
                lmList.append([id, cx, cy])
                if draw:
                    # print the circle on top of this point
                    cv2.circle(img, (cx, cy), 5, (255,0,0), cv2.FILLED)

        return lmList


def main():
    # read the video
    cap = cv2.VideoCapture('PoseVideos/2.mp4')
    pTime = 0
    detector = poseDetector()


    while True:
        # this img is in BGR
        success, img = cap.read()
        img = detector.findPose(img)
        lmList = detector.findPosition(img, draw=False)

        if len(lmList) != 0:
            print(lmList[14])
            cv2.circle(img, (lmList[14][1], lmList[14][2]), 15, (0, 0, 255), cv2.FILLED)

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

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

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


if __name__ == '__main__':
    main()