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Update app.py
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app.py
CHANGED
@@ -4,65 +4,235 @@ import subprocess
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subprocess.run(['chmod', '+x', 'setup.sh'])
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subprocess.run(['bash', 'setup.sh'], check=True)
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import streamlit as st
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import cv2
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import mediapipe as mp
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import numpy as np
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import tempfile
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import os
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# Initialize MediaPipe Pose
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mp_pose = mp.solutions.pose
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pose = mp_pose.Pose(static_image_mode=False, model_complexity=1, enable_segmentation=True, min_detection_confidence=0.5, min_tracking_confidence=0.5)
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mp_drawing = mp.solutions.drawing_utils
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def process_video(video_path):
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cap = cv2.VideoCapture(video_path)
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output_dir = tempfile.mkdtemp()
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mid_downswing_detected = False
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ball_impact_detected = False
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top_backswing_frame = -2
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mid_downswing_frame = -2
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ball_impact_frame = -2
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BALL_IMPACT_DURATION = 2 # Duration in frames to display Ball Impact phase
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saved_phases = set()
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while cap.isOpened():
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ret, frame = cap.read()
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if not ret:
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break
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frame_no = int(cap.get(cv2.CAP_PROP_POS_FRAMES))
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image_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
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result = pose.process(image_rgb)
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h, w, c = frame.shape
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if result.pose_landmarks:
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mp_drawing.draw_landmarks(
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frame, result.pose_landmarks, mp_pose.POSE_CONNECTIONS,
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mp_drawing.DrawingSpec(color=(255, 0, 0), thickness=2, circle_radius=2),
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mp_drawing.DrawingSpec(color=(255, 0, 255), thickness=2, circle_radius=2)
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)
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landmarks = result.pose_landmarks.landmark
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wrist_left_y = landmarks[mp_pose.PoseLandmark.LEFT_WRIST].y
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wrist_right_y = landmarks[mp_pose.PoseLandmark.RIGHT_WRIST].y
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hip_left_y = landmarks[mp_pose.PoseLandmark.LEFT_HIP].y
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hip_y_avg = (hip_left_y + hip_right_y) / 2
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shoulder_y_avg = (shoulder_left_y + shoulder_right_y) / 2
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mid_swing_y = (shoulder_y_avg + hip_y_avg) / 2
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#
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else:
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else:
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else:
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cv2.imwrite(phase_filename, frame)
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saved_phases.add(
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cap.release()
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cv2.destroyAllWindows()
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pose.close()
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return output_dir
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st.title("Golf Swing Phase Detection")
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st.write("Upload a video to detect different phases of a golf swing.")
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video_file = st.file_uploader("Upload Video", type=["mp4", "avi", "mov", "mkv"])
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st.write("Detected phases saved to:", output_dir)
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st.write("Example frames from detected phases:")
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for phase_image in os.listdir(output_dir):
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st.image(os.path.join(output_dir, phase_image), caption=phase_image)
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subprocess.run(['chmod', '+x', 'setup.sh'])
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subprocess.run(['bash', 'setup.sh'], check=True)
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# import streamlit as st
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# import cv2
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# import mediapipe as mp
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# import numpy as np
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# import tempfile
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# import os
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# # Initialize MediaPipe Pose
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# mp_pose = mp.solutions.pose
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# pose = mp_pose.Pose(static_image_mode=False, model_complexity=1, enable_segmentation=True, min_detection_confidence=0.5, min_tracking_confidence=0.5)
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# mp_drawing = mp.solutions.drawing_utils
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# def calculate_angle_between_vectors(v1, v2):
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# unit_vector_1 = v1 / np.linalg.norm(v1)
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# unit_vector_2 = v2 / np.linalg.norm(v2)
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# dot_product = np.dot(unit_vector_1, unit_vector_2)
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# angle = np.arccos(dot_product)
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# return np.degrees(angle)
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# def process_video(video_path):
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# cap = cv2.VideoCapture(video_path)
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# output_dir = tempfile.mkdtemp()
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# current_phase = "Not Setup phase"
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# prev_wrist_left_y = None
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# prev_wrist_right_y = None
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# top_backswing_detected = False
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# mid_downswing_detected = False
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# ball_impact_detected = False
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# top_backswing_frame = -2
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# mid_downswing_frame = -2
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# ball_impact_frame = -2
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# BALL_IMPACT_DURATION = 2 # Duration in frames to display Ball Impact phase
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# MIN_MOVEMENT_THRESHOLD = 0.01
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# HIP_NEAR_THRESHOLD = 0.05
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# MID_SWING_THRESHOLD = 0.05
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# saved_phases = set()
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# while cap.isOpened():
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# ret, frame = cap.read()
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# if not ret:
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# break
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# frame_no = int(cap.get(cv2.CAP_PROP_POS_FRAMES))
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# image_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
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# result = pose.process(image_rgb)
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# h, w, c = frame.shape
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# if result.pose_landmarks:
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# mp_drawing.draw_landmarks(
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# frame, result.pose_landmarks, mp_pose.POSE_CONNECTIONS,
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# mp_drawing.DrawingSpec(color=(255, 0, 0), thickness=2, circle_radius=2),
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# mp_drawing.DrawingSpec(color=(255, 0, 255), thickness=2, circle_radius=2)
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# )
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# landmarks = result.pose_landmarks.landmark
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# wrist_left_y = landmarks[mp_pose.PoseLandmark.LEFT_WRIST].y
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# wrist_right_y = landmarks[mp_pose.PoseLandmark.RIGHT_WRIST].y
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# hip_left_y = landmarks[mp_pose.PoseLandmark.LEFT_HIP].y
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# hip_right_y = landmarks[mp_pose.PoseLandmark.RIGHT_HIP].y
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# shoulder_left_y = landmarks[mp_pose.PoseLandmark.LEFT_SHOULDER].y
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# shoulder_right_y = landmarks[mp_pose.PoseLandmark.RIGHT_SHOULDER].y
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# hip_y_avg = (hip_left_y + hip_right_y) / 2
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# shoulder_y_avg = (shoulder_left_y + shoulder_right_y) / 2
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# mid_swing_y = (shoulder_y_avg + hip_y_avg) / 2
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# # Ensure the current phase persists for a few more milliseconds if it's Ball Impact
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# if ball_impact_detected and frame_no <= ball_impact_frame + BALL_IMPACT_DURATION:
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# current_phase = "Ball impact phase"
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# elif (abs(wrist_left_y - hip_y_avg) < HIP_NEAR_THRESHOLD and abs(wrist_right_y - hip_y_avg) < HIP_NEAR_THRESHOLD):
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# if prev_wrist_left_y is not None and prev_wrist_right_y is not None:
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# if (abs(wrist_left_y - prev_wrist_left_y) < MIN_MOVEMENT_THRESHOLD and abs(wrist_right_y - prev_wrist_right_y) < MIN_MOVEMENT_THRESHOLD):
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# if mid_downswing_detected and frame_no > mid_downswing_frame:
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# current_phase = "Ball impact phase"
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# ball_impact_detected = True
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# ball_impact_frame = frame_no
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# else:
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# current_phase = "Setup phase"
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# top_backswing_detected = False
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# mid_downswing_detected = False
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# else:
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# current_phase = ""
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# else:
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# if mid_downswing_detected and frame_no > mid_downswing_frame:
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# current_phase = "Ball impact phase"
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# ball_impact_detected = True
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# ball_impact_frame = frame_no
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# else:
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# current_phase = "Setup phase"
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# top_backswing_detected = False
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# mid_downswing_detected = False
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# elif (abs(wrist_left_y - mid_swing_y) < MID_SWING_THRESHOLD and abs(wrist_right_y - mid_swing_y) < MID_SWING_THRESHOLD and not top_backswing_detected and not ball_impact_detected):
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# current_phase = "Mid backswing phase"
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# elif (wrist_left_y < shoulder_left_y and wrist_right_y < shoulder_right_y and not mid_downswing_detected and not ball_impact_detected):
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# current_phase = "Top backswing phase"
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# top_backswing_detected = True
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# top_backswing_frame = frame_no
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# elif (abs(wrist_left_y - mid_swing_y) < MID_SWING_THRESHOLD and abs(wrist_right_y - mid_swing_y) < MID_SWING_THRESHOLD and top_backswing_detected and frame_no > top_backswing_frame):
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# current_phase = "Mid downswing phase"
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# mid_downswing_detected = True
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# mid_downswing_frame = frame_no
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# elif (wrist_left_y < shoulder_left_y and wrist_right_y < shoulder_right_y and ball_impact_detected and frame_no > ball_impact_frame):
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# current_phase = "Follow through phase"
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# else:
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# current_phase = ""
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# prev_wrist_left_y = wrist_left_y
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# prev_wrist_right_y = wrist_right_y
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# cv2.putText(frame, f"Phase: {current_phase}", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2, cv2.LINE_AA)
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# # Save the frame for each detected phase
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# if current_phase and current_phase not in saved_phases:
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# phase_filename = os.path.join(output_dir, f"{current_phase.replace(' ', '_')}.png")
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# cv2.imwrite(phase_filename, frame)
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# saved_phases.add(current_phase)
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# cap.release()
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# cv2.destroyAllWindows()
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# pose.close()
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# return output_dir
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# st.title("Golf Swing Phase Detection")
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# st.write("Upload a video to detect different phases of a golf swing.")
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# video_file = st.file_uploader("Upload Video", type=["mp4", "avi", "mov", "mkv"])
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# if video_file is not None:
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# tfile = tempfile.NamedTemporaryFile(delete=False)
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# tfile.write(video_file.read())
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# tfile_path = tfile.name
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# st.write("Processing video...")
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# output_dir = process_video(tfile_path)
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# st.write("Detected phases saved to:", output_dir)
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# st.write("Example frames from detected phases:")
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# for phase_image in os.listdir(output_dir):
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# st.image(os.path.join(output_dir, phase_image), caption=phase_image)
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import streamlit as st
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import cv2
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import mediapipe as mp
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import numpy as np
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import tempfile
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import os
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from collections import deque
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# Initialize MediaPipe Pose
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mp_pose = mp.solutions.pose
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mp_drawing = mp.solutions.drawing_utils
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# Define states for the state machine
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SETUP = "Setup phase"
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MID_BACKSWING = "Mid backswing phase"
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TOP_BACKSWING = "Top backswing phase"
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MID_DOWNSWING = "Mid downswing phase"
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BALL_IMPACT = "Ball impact phase"
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FOLLOW_THROUGH = "Follow through phase"
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UNKNOWN = "Unknown"
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# Parameters for logic
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NUM_FRAMES_STABLE = 5 # Number of frames to confirm a state transition
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VEL_THRESHOLD = 0.003 # Velocity threshold to confirm direction (tune as needed)
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MID_POINT_RATIO = 0.5 # Ratio for mid-swing line (between shoulders and hips)
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BALL_IMPACT_DURATION = 5 # Frames to keep Ball Impact state stable
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+
|
179 |
+
def smooth_positions(positions, window=5):
|
180 |
+
"""Simple smoothing by averaging the last `window` positions."""
|
181 |
+
if len(positions) < window:
|
182 |
+
return positions[-1]
|
183 |
+
arr = np.array(positions[-window:])
|
184 |
+
return np.mean(arr, axis=0)
|
185 |
|
186 |
def process_video(video_path):
|
187 |
+
pose = mp_pose.Pose(
|
188 |
+
static_image_mode=False,
|
189 |
+
model_complexity=1,
|
190 |
+
enable_segmentation=True,
|
191 |
+
min_detection_confidence=0.5,
|
192 |
+
min_tracking_confidence=0.5,
|
193 |
+
)
|
194 |
+
|
195 |
cap = cv2.VideoCapture(video_path)
|
196 |
output_dir = tempfile.mkdtemp()
|
197 |
|
198 |
+
# State machine variables
|
199 |
+
current_state = UNKNOWN
|
200 |
+
last_confirmed_state = UNKNOWN
|
201 |
+
state_confirmation_count = 0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
202 |
|
203 |
+
# To store positions and smoothing
|
204 |
+
wrist_left_positions = deque(maxlen=30)
|
205 |
+
wrist_right_positions = deque(maxlen=30)
|
206 |
|
207 |
+
# For saving phases once
|
208 |
saved_phases = set()
|
209 |
|
210 |
+
# Reference positions (will be recorded from initial frames)
|
211 |
+
initial_hip_y = None
|
212 |
+
initial_shoulder_y = None
|
213 |
+
detected_initial_setup = False
|
214 |
+
|
215 |
+
# Variables to track top backswing peak
|
216 |
+
# We'll store the max height reached during backswing
|
217 |
+
max_wrist_height = None
|
218 |
+
top_backswing_reached = False
|
219 |
+
|
220 |
+
# For Ball impact stable frames
|
221 |
+
ball_impact_frame_no = -1
|
222 |
+
frame_count = 0
|
223 |
+
|
224 |
while cap.isOpened():
|
225 |
ret, frame = cap.read()
|
226 |
if not ret:
|
227 |
break
|
228 |
+
frame_count += 1
|
|
|
229 |
image_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
|
230 |
result = pose.process(image_rgb)
|
231 |
h, w, c = frame.shape
|
232 |
|
233 |
if result.pose_landmarks:
|
|
|
|
|
|
|
|
|
|
|
|
|
234 |
landmarks = result.pose_landmarks.landmark
|
235 |
+
# Extract relevant landmarks
|
236 |
wrist_left_y = landmarks[mp_pose.PoseLandmark.LEFT_WRIST].y
|
237 |
wrist_right_y = landmarks[mp_pose.PoseLandmark.RIGHT_WRIST].y
|
238 |
hip_left_y = landmarks[mp_pose.PoseLandmark.LEFT_HIP].y
|
|
|
242 |
|
243 |
hip_y_avg = (hip_left_y + hip_right_y) / 2
|
244 |
shoulder_y_avg = (shoulder_left_y + shoulder_right_y) / 2
|
245 |
+
|
246 |
+
# Record initial reference once at the start if not done
|
247 |
+
if initial_hip_y is None:
|
248 |
+
initial_hip_y = hip_y_avg
|
249 |
+
if initial_shoulder_y is None:
|
250 |
+
initial_shoulder_y = shoulder_y_avg
|
251 |
+
|
252 |
+
# Mid swing line (between shoulder and hip)
|
253 |
mid_swing_y = (shoulder_y_avg + hip_y_avg) / 2
|
254 |
|
255 |
+
# Append current positions
|
256 |
+
wrist_left_positions.append(wrist_left_y)
|
257 |
+
wrist_right_positions.append(wrist_right_y)
|
258 |
+
|
259 |
+
# Smooth positions
|
260 |
+
smoothed_left_y = smooth_positions(list(wrist_left_positions))
|
261 |
+
smoothed_right_y = smooth_positions(list(wrist_right_positions))
|
262 |
+
|
263 |
+
# Average wrist height
|
264 |
+
avg_wrist_y = (smoothed_left_y + smoothed_right_y) / 2.0
|
265 |
+
|
266 |
+
# Compute velocity as difference from last frame (if possible)
|
267 |
+
if len(wrist_left_positions) > 1:
|
268 |
+
vel_wrist_y = avg_wrist_y - ((wrist_left_positions[-2] + wrist_right_positions[-2]) / 2.0)
|
269 |
+
else:
|
270 |
+
vel_wrist_y = 0.0
|
271 |
+
|
272 |
+
# Define conditions for each phase based on relative positions and movement:
|
273 |
+
# We'll define logical checks:
|
274 |
+
# 1. Setup: wrists near hip level and minimal movement
|
275 |
+
# 2. Mid backswing: wrists have started moving upward from hip level toward shoulder
|
276 |
+
# 3. Top backswing: wrists reach a peak (highest point) and start descending
|
277 |
+
# 4. Mid downswing: wrists cross mid line going downward
|
278 |
+
# 5. Ball impact: wrists around hip level again with downward movement stabilized
|
279 |
+
# 6. Follow through: wrists go above shoulders again after impact
|
280 |
+
|
281 |
+
# Detect initial Setup:
|
282 |
+
# Setup if wrists near hips and minimal vertical movement for a few frames
|
283 |
+
near_hip = abs(avg_wrist_y - initial_hip_y) < 0.05
|
284 |
+
low_velocity = abs(vel_wrist_y) < VEL_THRESHOLD
|
285 |
+
|
286 |
+
# Mid Backswing check:
|
287 |
+
# Movement upward from hip towards shoulder
|
288 |
+
# Condition: wrist higher than hip but not yet at top, positive upward velocity
|
289 |
+
going_up = (vel_wrist_y < -VEL_THRESHOLD) # remember y is normalized [0..1], top is smaller
|
290 |
+
mid_backswing_cond = (avg_wrist_y < mid_swing_y) and (avg_wrist_y < initial_hip_y) and going_up
|
291 |
+
|
292 |
+
# Top Backswing:
|
293 |
+
# Detecting a peak: we track max height during backswing.
|
294 |
+
# If currently going_up, update max_wrist_height.
|
295 |
+
# Once we detect a change from going_up to going_down, we mark top backswing.
|
296 |
+
if max_wrist_height is None or avg_wrist_y < max_wrist_height:
|
297 |
+
max_wrist_height = avg_wrist_y
|
298 |
+
going_down = (vel_wrist_y > VEL_THRESHOLD)
|
299 |
+
# Top backswing if we previously were going up and now start going down
|
300 |
+
# and wrists are near or above shoulder level (or at least higher than mid swing).
|
301 |
+
top_backswing_cond = top_backswing_reached is False and going_down and (max_wrist_height < mid_swing_y)
|
302 |
+
|
303 |
+
# Mid Downswing:
|
304 |
+
# After top backswing, as we go down again and cross mid swing line downward
|
305 |
+
mid_downswing_cond = top_backswing_reached and (avg_wrist_y > mid_swing_y) and going_down
|
306 |
+
|
307 |
+
# Ball Impact:
|
308 |
+
# When wrists return to near hip level while still going down or stabilizing
|
309 |
+
# We'll consider ball impact when avg_wrist_y ~ hip level and we've come down from top backswing
|
310 |
+
ball_impact_cond = top_backswing_reached and (abs(avg_wrist_y - initial_hip_y) < 0.05) and going_down
|
311 |
+
|
312 |
+
# Follow Through:
|
313 |
+
# After impact, if wrists go up again above shoulder level
|
314 |
+
follow_through_cond = (ball_impact_frame_no > 0 and frame_count > ball_impact_frame_no + BALL_IMPACT_DURATION
|
315 |
+
and avg_wrist_y < mid_swing_y and going_up)
|
316 |
+
|
317 |
+
# State machine transitions:
|
318 |
+
desired_state = UNKNOWN
|
319 |
+
|
320 |
+
# Prioritize states in a logical order
|
321 |
+
if current_state == UNKNOWN:
|
322 |
+
# Try to find a stable setup as a start
|
323 |
+
if near_hip and low_velocity:
|
324 |
+
desired_state = SETUP
|
325 |
+
else:
|
326 |
+
desired_state = UNKNOWN
|
327 |
+
|
328 |
+
elif current_state == SETUP:
|
329 |
+
# From setup, if we start going up and cross mid line:
|
330 |
+
if mid_backswing_cond:
|
331 |
+
desired_state = MID_BACKSWING
|
332 |
+
else:
|
333 |
+
desired_state = SETUP
|
334 |
+
|
335 |
+
elif current_state == MID_BACKSWING:
|
336 |
+
# If we detect a top backswing condition (peak reached):
|
337 |
+
if top_backswing_cond:
|
338 |
+
desired_state = TOP_BACKSWING
|
339 |
+
top_backswing_reached = True
|
340 |
+
else:
|
341 |
+
desired_state = MID_BACKSWING
|
342 |
+
|
343 |
+
elif current_state == TOP_BACKSWING:
|
344 |
+
# After top backswing, going down past mid line means mid downswing
|
345 |
+
if mid_downswing_cond:
|
346 |
+
desired_state = MID_DOWNSWING
|
347 |
else:
|
348 |
+
desired_state = TOP_BACKSWING
|
349 |
+
|
350 |
+
elif current_state == MID_DOWNSWING:
|
351 |
+
# Reaching ball impact condition
|
352 |
+
if ball_impact_cond:
|
353 |
+
desired_state = BALL_IMPACT
|
354 |
+
ball_impact_frame_no = frame_count
|
355 |
+
else:
|
356 |
+
desired_state = MID_DOWNSWING
|
357 |
+
|
358 |
+
elif current_state == BALL_IMPACT:
|
359 |
+
# After ball impact, potentially follow through if going upward again
|
360 |
+
if follow_through_cond:
|
361 |
+
desired_state = FOLLOW_THROUGH
|
362 |
+
else:
|
363 |
+
# Keep showing ball impact for a few frames
|
364 |
+
if frame_count <= ball_impact_frame_no + BALL_IMPACT_DURATION:
|
365 |
+
desired_state = BALL_IMPACT
|
366 |
else:
|
367 |
+
desired_state = BALL_IMPACT # could default to unknown if no follow through detected
|
368 |
+
|
369 |
+
elif current_state == FOLLOW_THROUGH:
|
370 |
+
# Final phase, usually no more transitions expected
|
371 |
+
desired_state = FOLLOW_THROUGH
|
372 |
+
|
373 |
+
# If we are UNKNOWN and can't find a better match:
|
374 |
+
if desired_state == UNKNOWN:
|
375 |
+
# Try to match any phase heuristics if no known logic fits
|
376 |
+
if near_hip and low_velocity:
|
377 |
+
desired_state = SETUP
|
378 |
+
else:
|
379 |
+
desired_state = UNKNOWN
|
380 |
+
|
381 |
+
# Confirm state transitions only if stable for several frames
|
382 |
+
if desired_state == current_state:
|
383 |
+
state_confirmation_count += 1
|
384 |
else:
|
385 |
+
# Different desired state
|
386 |
+
if desired_state != UNKNOWN:
|
387 |
+
# Start counting from scratch for the new state
|
388 |
+
current_state = desired_state
|
389 |
+
state_confirmation_count = 1
|
390 |
+
else:
|
391 |
+
# If unknown requested, just switch immediately
|
392 |
+
current_state = UNKNOWN
|
393 |
+
state_confirmation_count = 1
|
394 |
|
395 |
+
# Once stable enough in a state, set last_confirmed_state
|
396 |
+
if state_confirmation_count >= NUM_FRAMES_STABLE:
|
397 |
+
last_confirmed_state = current_state
|
398 |
|
399 |
+
# Draw Landmarks
|
400 |
+
mp_drawing.draw_landmarks(
|
401 |
+
frame,
|
402 |
+
result.pose_landmarks,
|
403 |
+
mp_pose.POSE_CONNECTIONS,
|
404 |
+
mp_drawing.DrawingSpec(color=(255, 0, 0), thickness=2, circle_radius=2),
|
405 |
+
mp_drawing.DrawingSpec(color=(255, 0, 255), thickness=2, circle_radius=2)
|
406 |
+
)
|
407 |
|
408 |
+
cv2.putText(frame, f"Phase: {last_confirmed_state}", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 1, (0,0,255), 2, cv2.LINE_AA)
|
409 |
+
|
410 |
+
# Save the frame for each detected phase (once)
|
411 |
+
if last_confirmed_state not in saved_phases and last_confirmed_state != UNKNOWN:
|
412 |
+
phase_filename = os.path.join(output_dir, f"{last_confirmed_state.replace(' ', '_')}.png")
|
413 |
cv2.imwrite(phase_filename, frame)
|
414 |
+
saved_phases.add(last_confirmed_state)
|
415 |
+
|
416 |
+
cv2.imshow("Pose Estimation", frame)
|
417 |
+
if cv2.waitKey(1) & 0xFF == ord('q'):
|
418 |
+
break
|
419 |
|
420 |
cap.release()
|
421 |
cv2.destroyAllWindows()
|
422 |
pose.close()
|
|
|
423 |
return output_dir
|
424 |
|
425 |
+
st.title("Golf Swing Phase Detection - Improved Logic")
|
426 |
+
st.write("Upload a video to detect different phases of a golf swing with improved accuracy.")
|
427 |
|
428 |
video_file = st.file_uploader("Upload Video", type=["mp4", "avi", "mov", "mkv"])
|
429 |
|
|
|
437 |
|
438 |
st.write("Detected phases saved to:", output_dir)
|
439 |
st.write("Example frames from detected phases:")
|
440 |
+
|
441 |
for phase_image in os.listdir(output_dir):
|
442 |
st.image(os.path.join(output_dir, phase_image), caption=phase_image)
|