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Update drs_engine.py
Browse files- drs_engine.py +18 -78
drs_engine.py
CHANGED
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@@ -1,74 +1,3 @@
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import cv2
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import os
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import math
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import numpy as np
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import tempfile
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import matplotlib.pyplot as plt
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from ultralytics import YOLO
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from pydub import AudioSegment
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import ffmpeg
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from scipy.optimize import curve_fit
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from scipy.interpolate import UnivariateSpline
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model = YOLO("best.pt")
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FPS = 30
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def estimate_speed(p1, p2, fps):
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dist = math.hypot(p2[0] - p1[0], p2[1] - p1[1])
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meters_per_pixel = 0.03
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mps = dist * meters_per_pixel * fps
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return mps * 3.6
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def add_voice_to_video(video_path, verdict):
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audio_file = "out.mp3" if verdict == "OUT" else "not_out.mp3"
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audio_temp = tempfile.NamedTemporaryFile(suffix=".mp3", delete=False).name
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AudioSegment.from_file(audio_file).export(audio_temp, format="mp3")
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final_output = tempfile.NamedTemporaryFile(suffix=".mp4", delete=False).name
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(
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ffmpeg
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.input(video_path)
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.output(final_output, audio=audio_temp, vcodec='copy', acodec='aac', strict='experimental')
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.run(overwrite_output=True)
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)
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return final_output
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def extend_trajectory_with_rotation(points, bounce_idx, final_x=20.12):
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x_vals = [pt[0] for pt in points]
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y_vals = [pt[1] for pt in points]
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if bounce_idx is None or bounce_idx >= len(points) - 2:
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return x_vals, y_vals
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x_pre = x_vals[:bounce_idx]
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y_pre = y_vals[:bounce_idx]
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def poly2(x, a, b, c): return a*x**2 + b*x + c
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try:
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popt, _ = curve_fit(poly2, x_pre, y_pre)
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x_post = np.linspace(x_vals[bounce_idx], final_x, 50)
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curve_shift = np.linspace(0, 0.05, len(x_post))
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y_post = poly2(x_post, *popt) + curve_shift
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return x_vals + list(x_post), y_vals + list(y_post)
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except:
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return x_vals, y_vals
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def draw_top_down_trajectory(points, bounce_frame_idx, output_path):
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if len(points) < 4:
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return None
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x_vals = [pt[0] for pt in points]
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y_vals = [pt[1] for pt in points]
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x_ext, y_ext = extend_trajectory_with_rotation(points, bounce_frame_idx)
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plt.figure(figsize=(10, 3))
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plt.plot(x_ext, y_ext, 'r-', label='Predicted Trajectory')
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plt.scatter(x_vals, y_vals, c='blue', s=10, label='Detected Points')
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plt.axvline(x=17.68, color='gray', linestyle='--', label='Stumps (17.68m)')
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plt.title("Top-Down Predicted Ball Path")
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plt.xlabel("Pitch Length (m)")
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plt.ylabel("Lateral Movement (m)")
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plt.grid(True)
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plt.legend()
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image_path = output_path.replace(".mp4", "_trajectory.png")
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plt.savefig(image_path)
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plt.close()
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return image_path
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def process_video(video_path):
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cap = cv2.VideoCapture(video_path)
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if not cap.isOpened():
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@@ -81,7 +10,11 @@ def process_video(video_path):
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temp_out = tempfile.NamedTemporaryFile(suffix=".mp4", delete=False).name
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out = cv2.VideoWriter(temp_out, fourcc, fps, (width, height))
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#
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src = np.array([
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[width * 0.3, height * 0.4],
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[width * 0.7, height * 0.4],
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@@ -102,14 +35,14 @@ def process_video(video_path):
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trajectory, real_trajectory = [], []
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bounce_detected = False
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bounce_frame_idx = None
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frame_index = 0
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prev_center = None
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verdict = "NOT OUT"
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while
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ret, frame = cap.read()
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if not ret:
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break
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results = model(frame)
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for box in results[0].boxes:
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if int(box.cls[0]) == 0:
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@@ -121,7 +54,7 @@ def process_video(video_path):
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cv2.circle(frame, (cx, cy), 8, (0, 0, 255), -1)
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if prev_center and not bounce_detected and cy - prev_center[1] > 15:
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bounce_detected = True
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bounce_frame_idx =
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cv2.putText(frame, "Bounce!", (cx, cy - 20), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0,255,255), 2)
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prev_center = (cx, cy)
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break
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@@ -146,11 +79,18 @@ def process_video(video_path):
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(0,255,0) if verdict == "NOT OUT" else (0,0,255), 3)
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out.write(frame)
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cap.release()
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out.release()
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topdown_image = draw_top_down_trajectory(real_trajectory, bounce_frame_idx, temp_out)
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final_video = add_voice_to_video(temp_out, verdict)
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return final_video, topdown_image
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def process_video(video_path):
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cap = cv2.VideoCapture(video_path)
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if not cap.isOpened():
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temp_out = tempfile.NamedTemporaryFile(suffix=".mp4", delete=False).name
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out = cv2.VideoWriter(temp_out, fourcc, fps, (width, height))
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# ⏱️ Trim to 4 seconds max
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max_frames = int(fps * 4)
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frame_count = 0
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# Homography
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src = np.array([
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[width * 0.3, height * 0.4],
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[width * 0.7, height * 0.4],
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trajectory, real_trajectory = [], []
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bounce_detected = False
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bounce_frame_idx = None
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prev_center = None
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verdict = "NOT OUT"
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while frame_count < max_frames:
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ret, frame = cap.read()
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if not ret:
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break
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results = model(frame)
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for box in results[0].boxes:
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if int(box.cls[0]) == 0:
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cv2.circle(frame, (cx, cy), 8, (0, 0, 255), -1)
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if prev_center and not bounce_detected and cy - prev_center[1] > 15:
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bounce_detected = True
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bounce_frame_idx = frame_count
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cv2.putText(frame, "Bounce!", (cx, cy - 20), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0,255,255), 2)
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prev_center = (cx, cy)
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break
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(0,255,0) if verdict == "NOT OUT" else (0,0,255), 3)
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out.write(frame)
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frame_count += 1
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cap.release()
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out.release()
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# Top-down chart
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topdown_image = draw_top_down_trajectory(real_trajectory, bounce_frame_idx, temp_out)
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# Optional: voice-over
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try:
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final_video = add_voice_to_video(temp_out, verdict)
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except:
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final_video = temp_out
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return final_video, topdown_image
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