PoseEstimationModule.py

import cv2
import mediapipe as mp
import math
import time

class poseDetector():
    def __init__(self):
        self.mpPose = mp.solutions.pose
        self.pose = self.mpPose.Pose()
        self.mpDraw = mp.solutions.drawing_utils

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

    def findAngle(self, img, p1, p2, p3, draw=True):
        # Get the landmarks
        x1, y1 = self.lmList[p1][1:]
        x2, y2 = self.lmList[p2][1:]
        x3, y3 = self.lmList[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
        if draw:
            cv2.line(img, (x1, y1), (x2, y2), (255,255,255), 3)
            cv2.line(img, (x2, y2), (x3, y3), (255,255,255), 3)
            cv2.circle(img, (x1, y1), 10, (0,0,255), cv2.FILLED)
            cv2.circle(img, (x1, y1), 15, (0,0,255), 2)
            cv2.circle(img, (x2, y2), 10, (0,0,255), cv2.FILLED)
            cv2.circle(img, (x2, y2), 15, (0,0,255), 2)
            cv2.circle(img, (x3, y3), 10, (0,0,255), cv2.FILLED)
            cv2.circle(img, (x3, y3), 15, (0,0,255), 2)
            cv2.putText(img, str(int(angle)), (x2-50, y2+50), cv2.FONT_HERSHEY_PLAIN, 2, (0,0,255), 2)
        return angle
    
# def main():
#     cap = cv2.VideoCapture('1.mp4')
#     pTime = 0
#     detector = poseDetector()
#     while True:
#         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()