dschandra commited on
Commit
24c2493
·
verified ·
1 Parent(s): 6af62c4

Update visualizer.py

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Files changed (1) hide show
  1. visualizer.py +10 -29
visualizer.py CHANGED
@@ -2,68 +2,49 @@ import cv2
2
  import numpy as np
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  import tempfile
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  import os
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- from moviepy.editor import ImageSequenceClip
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- try:
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- from moviepy.editor import ImageSequenceClip
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- print("✅ moviepy is working.")
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- except ImportError as e:
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- print("❌ moviepy is broken:", e)
11
 
12
  def draw_virtual_stumps(frame, stump_zone=(280, 360), pitch_y=570):
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- """
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- Draw stumps and crease lines on the pitch.
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- """
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  for x in range(stump_zone[0], stump_zone[1] + 1, 20):
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  cv2.line(frame, (x, pitch_y), (x, pitch_y - 60), (255, 255, 255), 2)
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  cv2.line(frame, (stump_zone[0] - 40, pitch_y), (stump_zone[1] + 40, pitch_y), (255, 255, 255), 2)
19
 
20
  def draw_trajectory(frame, trajectory_points):
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- """
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- Draws the predicted ball trajectory curve on frame.
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- """
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  for pt in trajectory_points:
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  x, y = pt
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  cv2.circle(frame, (int(x), int(y)), 5, (0, 255, 0), -1)
27
 
28
  def add_decision_text(frame, decision):
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- """
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- Overlay OUT / NOT OUT decision on top of the frame.
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- """
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  color = (0, 0, 255) if decision == "OUT" else (0, 255, 0)
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  cv2.putText(frame, f"Decision: {decision}", (30, 50),
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  cv2.FONT_HERSHEY_SIMPLEX, 1.5, color, 3)
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36
  def generate_output_video(frames, detection_data, prediction_data, fps=25):
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- """
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- Generates replay video with overlays and returns its file path and decision.
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- """
40
  impact_frame = detection_data["impact_frame"]
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  decision = prediction_data["decision"]
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  trajectory = prediction_data["trajectory_points"]
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44
- annotated_frames = []
 
 
 
 
 
 
45
 
46
  for idx, frame in enumerate(frames):
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  frame_copy = frame.copy()
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  draw_virtual_stumps(frame_copy)
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50
  if idx <= impact_frame:
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- # Draw live ball trajectory up to impact
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  draw_trajectory(frame_copy, trajectory[:idx + 1])
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  else:
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- # Draw full trajectory post-impact
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  draw_trajectory(frame_copy, trajectory)
56
 
57
  if idx == impact_frame:
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- cv2.rectangle(frame_copy, (0, 0), (frame.shape[1], frame.shape[0]), (255, 0, 0), 6)
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60
  add_decision_text(frame_copy, decision)
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- annotated_frames.append(cv2.cvtColor(frame_copy, cv2.COLOR_BGR2RGB))
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-
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- # Save as video using moviepy
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- temp_dir = tempfile.mkdtemp()
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- output_path = os.path.join(temp_dir, "lbw_replay.mp4")
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- clip = ImageSequenceClip(annotated_frames, fps=fps)
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- clip.write_videofile(output_path, codec="libx264", audio=False, verbose=False, logger=None)
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  return output_path, decision
 
2
  import numpy as np
3
  import tempfile
4
  import os
 
 
 
 
 
 
5
 
6
  def draw_virtual_stumps(frame, stump_zone=(280, 360), pitch_y=570):
 
 
 
7
  for x in range(stump_zone[0], stump_zone[1] + 1, 20):
8
  cv2.line(frame, (x, pitch_y), (x, pitch_y - 60), (255, 255, 255), 2)
9
  cv2.line(frame, (stump_zone[0] - 40, pitch_y), (stump_zone[1] + 40, pitch_y), (255, 255, 255), 2)
10
 
11
  def draw_trajectory(frame, trajectory_points):
 
 
 
12
  for pt in trajectory_points:
13
  x, y = pt
14
  cv2.circle(frame, (int(x), int(y)), 5, (0, 255, 0), -1)
15
 
16
  def add_decision_text(frame, decision):
 
 
 
17
  color = (0, 0, 255) if decision == "OUT" else (0, 255, 0)
18
  cv2.putText(frame, f"Decision: {decision}", (30, 50),
19
  cv2.FONT_HERSHEY_SIMPLEX, 1.5, color, 3)
20
 
21
  def generate_output_video(frames, detection_data, prediction_data, fps=25):
 
 
 
22
  impact_frame = detection_data["impact_frame"]
23
  decision = prediction_data["decision"]
24
  trajectory = prediction_data["trajectory_points"]
25
 
26
+ height, width, _ = frames[0].shape
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+ temp_dir = tempfile.mkdtemp()
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+ output_path = os.path.join(temp_dir, "lbw_replay.mp4")
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+
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+ # Define video writer
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+ fourcc = cv2.VideoWriter_fourcc(*'mp4v')
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+ out = cv2.VideoWriter(output_path, fourcc, fps, (width, height))
33
 
34
  for idx, frame in enumerate(frames):
35
  frame_copy = frame.copy()
36
  draw_virtual_stumps(frame_copy)
37
 
38
  if idx <= impact_frame:
 
39
  draw_trajectory(frame_copy, trajectory[:idx + 1])
40
  else:
 
41
  draw_trajectory(frame_copy, trajectory)
42
 
43
  if idx == impact_frame:
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+ cv2.rectangle(frame_copy, (0, 0), (width, height), (255, 0, 0), 6)
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46
  add_decision_text(frame_copy, decision)
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+ out.write(frame_copy)
 
 
 
 
 
 
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49
+ out.release()
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  return output_path, decision