Pose Module.py

import cv2
import mediapipe as mp
import time

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

        self.mode = mode
        self.upBody = upBody
        self.smooth = smooth
        self.detectionCon = detectionCon
        self.trackCon = trackCon

        # Hold Ctrl key and press on the Package to access parameters.

        self.mpDraw = mp.solutions.drawing_utils
        self.mpPose = mp.solutions.pose
        self.pose = self.mpPose.Pose(self.mode, self.upBody, 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):
        lmList = []
        if self.results.pose_landmarks:
            for id, lm in enumerate(self.results.pose_landmarks.landmark):
                h, w, c = img.shape
                # print(id, lm)
                cx, cy = int(lm.x * w), int(lm.y * h)
                lmList.append([id, cx, cy])
                if draw:
                    cv2.circle(img, (cx, cy), 5, (255, 0, 0), cv2.FILLED)
        return lmList

    # for id, lm in enumerate(results.pose_landmarks.landmark):
    #     h, w, c = img.shape
    #     print(id, lm)
    #     cx, cy = int(lm.x * w), int(lm.y * h)
    #     cv2.circle(img, (cx, cy), 5, (255, 0, 0), cv2.FILLED)

def main():
    cap = cv2.VideoCapture('Pose Videos/Dance 5.mp4')
    pTime = 0
    detector = PoseDetector()

    while True:
        success, img = cap.read()
        img = detector.findPose(img)
        lmList = detector.findPosition(img)
        print(lmList)

        #
        # If we want to track a specific body part
        # Below is the sample code for tracking elbow
        #     lmList = detector.findPosition(img, draw=False)
        #     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_COMPLEX, 3, (255, 0, 0), 3)
        cv2.imshow("Image", img)
        cv2.waitKey(1)  # 1 is in millisecond


if __name__ == "__main__":
    main()