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Update app.py
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app.py
CHANGED
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@@ -6,9 +6,14 @@ import gradio as gr
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from scipy.interpolate import interp1d
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import uuid
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import os
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from OpenGL.
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from
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# Load the trained YOLOv8n model
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model = YOLO("best.pt")
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@@ -64,15 +69,14 @@ def estimate_trajectory_3d(ball_positions, detection_frames, frames):
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return None, None, None, None, None, None, "Error: Fewer than 2 valid single-ball detections"
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frame_height, frame_width = frames[0].shape[:2]
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# Simple 2D to 3D mapping (approximation)
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x_coords = np.array([pos[0] for pos in ball_positions]) / frame_width * PITCH_LENGTH
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y_coords = np.array([frame_height - pos[1] for pos in ball_positions]) / frame_height * STUMPS_HEIGHT * 2
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z_coords = np.zeros_like(x_coords) #
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times = np.array([i / FRAME_RATE for i in range(len(ball_positions))])
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pitch_idx = 0
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for i, y in enumerate(y_coords):
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if y < STUMPS_HEIGHT:
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pitch_idx = i
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break
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pitch_point = (x_coords[pitch_idx], y_coords[pitch_idx], 0)
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@@ -89,7 +93,6 @@ def estimate_trajectory_3d(ball_positions, detection_frames, frames):
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impact_point = (x_coords[impact_idx], y_coords[impact_idx], 0)
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impact_frame = detection_frames[impact_idx]
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# Interpolate 3D trajectory
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fx = interp1d(times[:impact_idx + 1], x_coords[:impact_idx + 1], kind='linear', fill_value="extrapolate")
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fy = interp1d(times[:impact_idx + 1], y_coords[:impact_idx + 1], kind='quadratic', fill_value="extrapolate")
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fz = interp1d(times[:impact_idx + 1], z_coords[:impact_idx + 1], kind='linear', fill_value="extrapolate")
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@@ -104,7 +107,7 @@ def lbw_decision(ball_positions, full_trajectory, frames, pitch_point, impact_po
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return "Error: No data", None, None, None
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frame_height, frame_width = frames[0].shape[:2]
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stumps_x = PITCH_LENGTH / 2
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stumps_y = 0
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stumps_width = STUMPS_WIDTH
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pitch_x, pitch_y, _ = pitch_point
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@@ -130,14 +133,9 @@ def lbw_decision(ball_positions, full_trajectory, frames, pitch_point, impact_po
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return f"Out (Ball hits stumps)", full_trajectory, pitch_point, impact_point
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return f"Not Out (Missing stumps)", full_trajectory, pitch_point, impact_point
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def init_3d_window(width, height):
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pygame.init()
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display.set_mode((width, height), DOUBLEBUF | OPENGL)
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gluPerspective(45, (width / height), 0.1, 50.0)
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glTranslatef(0.0, -5.0, -30)
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glEnable(GL_DEPTH_TEST)
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def draw_3d_scene(trajectory, pitch_point, impact_point, decision):
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glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT)
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glBegin(GL_LINES)
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for i in range(len(trajectory) - 1):
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@@ -146,7 +144,6 @@ def draw_3d_scene(trajectory, pitch_point, impact_point, decision):
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glVertex3f(trajectory[i + 1][0], trajectory[i + 1][1], trajectory[i + 1][2])
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glEnd()
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# Draw pitch and stumps
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glColor3f(0, 1, 0) # Green pitch
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glBegin(GL_QUADS)
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glVertex3f(0, 0, 0)
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@@ -163,7 +160,6 @@ def draw_3d_scene(trajectory, pitch_point, impact_point, decision):
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glVertex3f(PITCH_LENGTH / 2 + STUMPS_WIDTH / 2, STUMPS_HEIGHT, 0)
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glEnd()
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# Draw pitching and impact points
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if pitch_point:
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glColor3f(0, 1, 0) # Green
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glPushMatrix()
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@@ -178,7 +174,6 @@ def draw_3d_scene(trajectory, pitch_point, impact_point, decision):
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glutSolidSphere(0.1, 20, 20)
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glPopMatrix()
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# Display decision (simplified text)
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if "Out" in decision:
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glColor3f(1, 0.65, 0) # Orange
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glRasterPos3f(PITCH_LENGTH / 2, STUMPS_HEIGHT, 0)
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@@ -187,6 +182,15 @@ def draw_3d_scene(trajectory, pitch_point, impact_point, decision):
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display.flip()
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def drs_review(video):
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frames, ball_positions, detection_frames, debug_log = process_video(video)
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if not frames:
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@@ -194,28 +198,27 @@ def drs_review(video):
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full_trajectory, vis_trajectory, pitch_point, pitch_frame, impact_point, impact_frame, trajectory_log = estimate_trajectory_3d(ball_positions, detection_frames, frames)
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decision, full_trajectory, pitch_point, impact_point = lbw_decision(ball_positions, full_trajectory, frames, pitch_point, impact_point)
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output_path = f"output_{uuid.uuid4()}.mp4"
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# Note: 3D rendering is separate; 2D video output is placeholder
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slow_motion_path = None # To be enhanced with 3D export
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debug_output = f"{debug_log}\n{trajectory_log}"
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return f"DRS Decision: {decision}\nDebug Log:\n{debug_output}", slow_motion_path
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# Gradio interface
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iface = gr.Interface(
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fn=drs_review,
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inputs=gr.Video(label="Upload Video Clip"),
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outputs=[
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gr.Textbox(label="DRS Decision and Debug Log"),
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gr.Video(label="3D Visualization (Separate Window)")
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],
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title="AI-Powered 3D DRS for LBW",
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description="Upload a video clip for 3D DRS analysis with pitching (green), impact (red), and wickets (orange) visualization."
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from scipy.interpolate import interp1d
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import uuid
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import os
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try:
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from OpenGL.GL import *
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from OpenGL.GLU import *
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from pygame import display, event, QUIT
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HAS_OPENGL = True
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except ImportError:
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print("Warning: PyOpenGL or Pygame not found. 3D visualization will be disabled. Install with 'pip install PyOpenGL PyOpenGL_accelerate pygame'.")
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HAS_OPENGL = False
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# Load the trained YOLOv8n model
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model = YOLO("best.pt")
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return None, None, None, None, None, None, "Error: Fewer than 2 valid single-ball detections"
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frame_height, frame_width = frames[0].shape[:2]
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x_coords = np.array([pos[0] for pos in ball_positions]) / frame_width * PITCH_LENGTH
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y_coords = np.array([frame_height - pos[1] for pos in ball_positions]) / frame_height * STUMPS_HEIGHT * 2
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z_coords = np.zeros_like(x_coords) # Placeholder for depth
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times = np.array([i / FRAME_RATE for i in range(len(ball_positions))])
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pitch_idx = 0
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for i, y in enumerate(y_coords):
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if y < STUMPS_HEIGHT:
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pitch_idx = i
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break
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pitch_point = (x_coords[pitch_idx], y_coords[pitch_idx], 0)
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impact_point = (x_coords[impact_idx], y_coords[impact_idx], 0)
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impact_frame = detection_frames[impact_idx]
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fx = interp1d(times[:impact_idx + 1], x_coords[:impact_idx + 1], kind='linear', fill_value="extrapolate")
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fy = interp1d(times[:impact_idx + 1], y_coords[:impact_idx + 1], kind='quadratic', fill_value="extrapolate")
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fz = interp1d(times[:impact_idx + 1], z_coords[:impact_idx + 1], kind='linear', fill_value="extrapolate")
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return "Error: No data", None, None, None
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frame_height, frame_width = frames[0].shape[:2]
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stumps_x = PITCH_LENGTH / 2
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stumps_y = 0
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stumps_width = STUMPS_WIDTH
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pitch_x, pitch_y, _ = pitch_point
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return f"Out (Ball hits stumps)", full_trajectory, pitch_point, impact_point
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return f"Not Out (Missing stumps)", full_trajectory, pitch_point, impact_point
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def draw_3d_scene(trajectory, pitch_point, impact_point, decision):
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if not HAS_OPENGL:
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return
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glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT)
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glBegin(GL_LINES)
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for i in range(len(trajectory) - 1):
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glVertex3f(trajectory[i + 1][0], trajectory[i + 1][1], trajectory[i + 1][2])
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glEnd()
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glColor3f(0, 1, 0) # Green pitch
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glBegin(GL_QUADS)
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glVertex3f(0, 0, 0)
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glVertex3f(PITCH_LENGTH / 2 + STUMPS_WIDTH / 2, STUMPS_HEIGHT, 0)
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glEnd()
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if pitch_point:
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glColor3f(0, 1, 0) # Green
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glPushMatrix()
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glutSolidSphere(0.1, 20, 20)
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glPopMatrix()
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if "Out" in decision:
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glColor3f(1, 0.65, 0) # Orange
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glRasterPos3f(PITCH_LENGTH / 2, STUMPS_HEIGHT, 0)
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display.flip()
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def init_3d_window(width, height):
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if not HAS_OPENGL:
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return
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pygame.init()
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display.set_mode((width, height), DOUBLEBUF | OPENGL)
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gluPerspective(45, (width / height), 0.1, 50.0)
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glTranslatef(0.0, -5.0, -30)
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glEnable(GL_DEPTH_TEST)
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def drs_review(video):
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frames, ball_positions, detection_frames, debug_log = process_video(video)
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if not frames:
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full_trajectory, vis_trajectory, pitch_point, pitch_frame, impact_point, impact_frame, trajectory_log = estimate_trajectory_3d(ball_positions, detection_frames, frames)
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decision, full_trajectory, pitch_point, impact_point = lbw_decision(ball_positions, full_trajectory, frames, pitch_point, impact_point)
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if HAS_OPENGL:
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init_3d_window(800, 600)
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from OpenGL.GLUT import glutInit, glutSolidSphere
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glutInit()
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for _ in range(100): # Limited frames for demo
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draw_3d_scene(full_trajectory, pitch_point, impact_point, decision)
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event.pump()
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output_path = f"output_{uuid.uuid4()}.mp4"
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slow_motion_path = None # To be enhanced with 3D export
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debug_output = f"{debug_log}\n{trajectory_log}"
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return f"DRS Decision: {decision}\nDebug Log:\n{debug_output}", slow_motion_path
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# Gradio interface
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iface = gr.Interface(
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fn=drs_review,
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inputs=gr.Video(label="Upload Video Clip"),
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outputs=[
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gr.Textbox(label="DRS Decision and Debug Log"),
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gr.Video(label="3D Visualization (Separate Window if enabled)")
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],
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title="AI-Powered 3D DRS for LBW",
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description="Upload a video clip for 3D DRS analysis with pitching (green), impact (red), and wickets (orange) visualization."
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