import cv2
import mediapipe as mp
import time
import math
import numpy as np

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
        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):
        self.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)
                    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 += 0
            angle1 = angle
        if angle > 299:
            angle += -260
            angle1 = angle
        # print(angle)
        #Draw
        if draw:
            cv2.line(img, (x1, y1), (x2, y2), (255,255,255), 3)
            cv2.line(img, (x3, y3), (x2, y2), (255,255,255), 3)
            cv2.circle(img, (x1, y1), 10, (255, 0, 0), cv2.FILLED)
            cv2.circle(img, (x1, y1), 15, (255, 0, 0), 2)
            cv2.circle(img, (x2, y2), 10, (255, 0, 0), cv2.FILLED)
            cv2.circle(img, (x2, y2), 15, (255, 0, 0), 2)
            cv2.circle(img, (x3, y3), 10, (255, 0, 0), cv2.FILLED)
            cv2.circle(img, (x3, y3), 15, (255, 0, 0), 2)
            cv2.putText(img, str(int(angle)), (x2 - 20, y2 +50), cv2.FONT_HERSHEY_PLAIN, 2.5, (0, 0, 255), 2 )
            
        
        return angle
            
def main():
    cap = cv2.VideoCapture('../Pose_Estimate/1.mp4')
    pTime = 0 

    detector = poseDetector()
    while True:
        success, img = cap.read()
        img = detector.findPose(img)
        lmList = detector.findPosition(img)
        # print(lmList)
        
        cTime = time.time()
        fps = 1/(cTime - pTime)
        pTime = cTime
        
        cv2.putText(img, str(int(fps)), (70 ,50), cv2.FONT_HERSHEY_SIMPLEX, 1, (255,0,0),3)
        cv2.imshow("Image", img)
        cv2.waitKey(10)



if __name__ == "__main__":
    main()