Fitnessify/PoseTrackingModule.py at main · Ankitasareen/Fitnessify · GitHub

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import cv2
import mediapipe as mp
import time
from math import atan2, pi, degrees


def rescale_frame(frame, percent=75):
    width = int(frame.shape[1] * percent / 100)
    height = int(frame.shape[0] * percent / 100)
    dim = (width, height)
    return cv2.resize(frame, dim, interpolation=cv2.INTER_AREA)


class PoseDetector():
    def __init__(self,  static_image_mode=False,
                 model_complexity=2,
                 enable_segmentation=False,
                 min_detection_confidence=0.5):
        self.static_image_mode = static_image_mode
        self.model_complexity = model_complexity
        self.enable_segmentation = enable_segmentation

        self.min_detection_confidence = min_detection_confidence
        self.mpDraw = mp.solutions.drawing_utils
        self.mpPose = mp.solutions.pose
        self.pose = self.mpPose.Pose(self.min_detection_confidence, self.model_complexity,
                                     self.enable_segmentation)

    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):
        x1, y1 = self.lmList[p1][1:]
        x2, y2 = self.lmList[p2][1:]
        x3, y3 = self.lmList[p3][1:]

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

        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, (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():
    pTime = 0
    cTime = 0
    cap = cv2.VideoCapture(
        r'C:\Users\HP\OneDrive\Desktop\Fit\AI Trainer\4.mp4')
    detector = PoseDetector()

    while True:
        success, frame = cap.read()
        frame75 = rescale_frame(frame, percent=40)
        frame75 = detector.findPose(frame75)
        lmList = detector.findPosition(frame75, draw=False)
        if len(lmList) != 0:
            print(lmList[14])
            cv2.circle(
                frame75, (lmList[14][1], lmList[14][2]), 15, (0, 0, 255), cv2.FILLED)

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

        cv2.putText(frame, str(int(fps)), (10, 90), cv2.FONT_HERSHEY_PLAIN, 3,
                    (255, 0, 255), 3)
        cv2.imshow('frame75', frame75)

        cv2.waitKey(0)


if __name__ == "__main__":
    main()