import cv2
import mediapipe as mp
import numpy as np

def detect_batter_pose(frame):
    mp_pose = mp.solutions.pose
    with mp_pose.Pose(static_image_mode=True) as pose:
        results = pose.process(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))
        return results.pose_landmarks if results.pose_landmarks else None

def is_pad_contact(ball_xy, landmarks, width, height):
    if not landmarks:
        return False
    knees = [25, 26]
    for i in knees:
        px = int(landmarks[i].x * width)
        py = int(landmarks[i].y * height)
        if np.linalg.norm(np.array([px, py]) - np.array(ball_xy)) < 50:
            return True
    return False