import cv2 import mediapipe as mp import numpy as np mp_pose = mp.solutions.pose mp_draw = mp.solutions.drawing_utils def calculate_angle(a, b, c): a, b, c = np.array(a), np.array(b), np.array(c) radians = np.arctan2(c[1] - b[1], c[0] - b[0]) - np.arctan2(a[1] - b[1], a[0] - b[0]) angle = np.abs(radians * 180.0 / np.pi) if angle > 180: angle = 360 - angle return angle def elbow_angle_and_vis(landmarks, side): P = mp_pose.PoseLandmark if side == 'left': sh, el, wr = P.LEFT_SHOULDER, P.LEFT_ELBOW, P.LEFT_WRIST else: sh, el, wr = P.RIGHT_SHOULDER, P.RIGHT_ELBOW, P.RIGHT_WRIST sh_lm, el_lm, wr_lm = landmarks[sh.value], landmarks[el.value], landmarks[wr.value] pts = [[sh_lm.x, sh_lm.y], [el_lm.x, el_lm.y], [wr_lm.x, wr_lm.y]] vis = min(sh_lm.visibility, el_lm.visibility, wr_lm.visibility) return calculate_angle(*pts), vis def best_elbow_angle(landmarks): l_ang, l_vis = elbow_angle_and_vis(landmarks, 'left') r_ang, r_vis = elbow_angle_and_vis(landmarks, 'right') if l_vis > 0.5 and r_vis > 0.5: return (l_ang + r_ang) / 2, max(l_vis, r_vis) return (l_ang, l_vis) if l_vis >= r_vis else (r_ang, r_vis) def is_horizontal(landmarks): """True when torso is roughly horizontal — filters out standing-upright false triggers.""" P = mp_pose.PoseLandmark nose_y = landmarks[P.NOSE.value].y hip_y = (landmarks[P.LEFT_HIP.value].y + landmarks[P.RIGHT_HIP.value].y) / 2 # When standing, nose is well above hips (small y vs large y in image coords). # When horizontal (push-up), nose and hips are at similar y values. return abs(nose_y - hip_y) < 0.38 def wrists_above_shoulders(landmarks): """True when both (or at least one) wrist is above its shoulder — pull-up hang check.""" P = mp_pose.PoseLandmark lms = landmarks margin = 0.05 # must be clearly above, not just noise l_ok = lms[P.LEFT_WRIST.value].y < lms[P.LEFT_SHOULDER.value].y - margin r_ok = lms[P.RIGHT_WRIST.value].y < lms[P.RIGHT_SHOULDER.value].y - margin return l_ok or r_ok cap = cv2.VideoCapture(0) count = 0 stage = None # current rep phase mode = 'pushup' # 'pushup' | 'pullup' with mp_pose.Pose(min_detection_confidence=0.6, min_tracking_confidence=0.6) as pose: while cap.isOpened(): ret, frame = cap.read() if not ret: break image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) image.flags.writeable = False results = pose.process(image) image.flags.writeable = True image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR) angle_disp = 0 try: lms = results.pose_landmarks.landmark angle, vis = best_elbow_angle(lms) angle_disp = int(angle) if vis > 0.4: if mode == 'pushup' and is_horizontal(lms): if angle > 155: stage = 'up' if angle < 85 and stage == 'up': stage = 'down' count += 1 elif mode == 'pullup' and wrists_above_shoulders(lms): if angle > 155: stage = 'down' # hanging, arms straight if angle < 90 and stage == 'down': stage = 'up' # pulled up count += 1 except Exception: pass # --- overlay UI --- h, w = image.shape[:2] mode_label = 'PUSH-UPS' if mode == 'pushup' else 'PULL-UPS' mode_color = (50, 220, 100) if mode == 'pushup' else (80, 120, 255) # top bar cv2.rectangle(image, (0, 0), (w, 80), (15, 15, 15), -1) cv2.putText(image, mode_label, (12, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.85, mode_color, 2) cv2.putText(image, f'REPS: {count}', (12, 68), cv2.FONT_HERSHEY_SIMPLEX, 1.3, (0, 255, 0), 3) # angle + stage (top right) cv2.putText(image, f'{angle_disp}\xb0', (w - 100, 35), cv2.FONT_HERSHEY_SIMPLEX, 1.0, (0, 220, 220), 2) cv2.putText(image, (stage or '---').upper(), (w - 108, 68), cv2.FONT_HERSHEY_SIMPLEX, 0.8, (180, 180, 0), 2) # bottom hint bar cv2.rectangle(image, (0, h - 30), (w, h), (15, 15, 15), -1) cv2.putText(image, '[P] Push-ups [U] Pull-ups [R] Reset [Q] Quit', (8, h - 8), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (160, 160, 160), 1) if results.pose_landmarks: mp_draw.draw_landmarks(image, results.pose_landmarks, mp_pose.POSE_CONNECTIONS) cv2.imshow('Exercise Counter', image) key = cv2.waitKey(10) & 0xFF if key == ord('q'): break elif key == ord('p'): mode = 'pushup' stage = None elif key == ord('u'): mode = 'pullup' stage = None elif key == ord('r'): count = 0 stage = None cap.release() cv2.destroyAllWindows()