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Update app.py
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app.py
CHANGED
@@ -19,7 +19,6 @@ CONF_THRESHOLD = 0.25 # Confidence threshold for detection
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IMPACT_ZONE_Y = 0.85 # Fraction of frame height for impact zone
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PITCH_ZONE_Y = 0.75 # Fraction of frame height for pitch zone
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IMPACT_DELTA_Y = 50 # Pixels for detecting sudden y-position change
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STUMPS_HEIGHT = 0.711 # meters (height of stumps)
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def process_video(video_path):
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if not os.path.exists(video_path):
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@@ -143,10 +142,6 @@ def generate_slow_motion(frames, vis_trajectory, pitch_point, pitch_frame, impac
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if not frames:
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return None
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frame_height, frame_width = frames[0].shape[:2]
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stumps_x = frame_width / 2
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stumps_y = frame_height * 0.9
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stumps_width_pixels = frame_width * (STUMPS_WIDTH / 3.0)
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stumps_height_pixels = frame_height * (STUMPS_HEIGHT / 3.0)
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fourcc = cv2.VideoWriter_fourcc(*'mp4v')
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out = cv2.VideoWriter(output_path, fourcc, FRAME_RATE / SLOW_MOTION_FACTOR, (frame_width, frame_height))
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@@ -155,15 +150,6 @@ def generate_slow_motion(frames, vis_trajectory, pitch_point, pitch_frame, impac
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trajectory_points = np.array(vis_trajectory, dtype=np.int32).reshape((-1, 1, 2))
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for i, frame in enumerate(frames):
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# Draw stumps (three white vertical lines)
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stump_positions = [
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(stumps_x - stumps_width_pixels / 2, stumps_y), # Left stump
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(stumps_x, stumps_y), # Middle stump
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(stumps_x + stumps_width_pixels / 2, stumps_y) # Right stump
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]
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for x, y in stump_positions:
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cv2.line(frame, (int(x), int(y)), (int(x), int(y - stumps_height_pixels)), (255, 255, 255), 2)
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# Draw trajectory (blue line) only for detected frames
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if i in detection_frames and trajectory_points.size > 0:
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idx = detection_frames.index(i) + 1
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@@ -208,10 +194,10 @@ iface = gr.Interface(
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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="Very Slow-Motion Replay with Ball Detection (Green), Trajectory (Blue Line), Pitch Point (Red), Impact Point (Yellow)
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],
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title="AI-Powered DRS for LBW in Local Cricket",
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description="Upload a video clip of a cricket delivery to get an LBW decision and slow-motion replay showing ball detection (green boxes), trajectory (blue line), pitch point (red circle), impact point (yellow circle)
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)
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if __name__ == "__main__":
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IMPACT_ZONE_Y = 0.85 # Fraction of frame height for impact zone
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PITCH_ZONE_Y = 0.75 # Fraction of frame height for pitch zone
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IMPACT_DELTA_Y = 50 # Pixels for detecting sudden y-position change
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def process_video(video_path):
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if not os.path.exists(video_path):
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if not frames:
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return None
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frame_height, frame_width = frames[0].shape[:2]
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fourcc = cv2.VideoWriter_fourcc(*'mp4v')
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out = cv2.VideoWriter(output_path, fourcc, FRAME_RATE / SLOW_MOTION_FACTOR, (frame_width, frame_height))
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trajectory_points = np.array(vis_trajectory, dtype=np.int32).reshape((-1, 1, 2))
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for i, frame in enumerate(frames):
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# Draw trajectory (blue line) only for detected frames
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if i in detection_frames and trajectory_points.size > 0:
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idx = detection_frames.index(i) + 1
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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="Very Slow-Motion Replay with Ball Detection (Green), Trajectory (Blue Line), Pitch Point (Red), Impact Point (Yellow)")
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],
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title="AI-Powered DRS for LBW in Local Cricket",
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description="Upload a video clip of a cricket delivery to get an LBW decision and slow-motion replay showing ball detection (green boxes), trajectory (blue line), pitch point (red circle), and impact point (yellow circle)."
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)
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if __name__ == "__main__":
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