visualizer.py

import cv2
import numpy as np
import tempfile
import os

def draw_virtual_stumps(frame, stump_zone=(280, 360), pitch_y=570):
    for x in range(stump_zone[0], stump_zone[1] + 1, 20):
        cv2.line(frame, (x, pitch_y), (x, pitch_y - 60), (255, 255, 255), 2)
    cv2.line(frame, (stump_zone[0] - 40, pitch_y), (stump_zone[1] + 40, pitch_y), (255, 255, 255), 2)

def draw_trajectory(frame, trajectory_points):
    for pt in trajectory_points:
        x, y = pt
        cv2.circle(frame, (int(x), int(y)), 5, (0, 255, 0), -1)

def add_decision_text(frame, decision):
    color = (0, 0, 255) if decision == "OUT" else (0, 255, 0)
    cv2.putText(frame, f"Decision: {decision}", (30, 50),
                cv2.FONT_HERSHEY_SIMPLEX, 1.5, color, 3)

def generate_output_video(frames, detection_data, prediction_data, fps=25):
    impact_frame = detection_data["impact_frame"]
    decision = prediction_data["decision"]
    trajectory = prediction_data["trajectory_points"]

    height, width, _ = frames[0].shape
    temp_dir = tempfile.mkdtemp()
    output_path = os.path.join(temp_dir, "lbw_replay.mp4")

    # Define video writer
    fourcc = cv2.VideoWriter_fourcc(*'mp4v')
    out = cv2.VideoWriter(output_path, fourcc, fps, (width, height))

    for idx, frame in enumerate(frames):
        frame_copy = frame.copy()
        draw_virtual_stumps(frame_copy)

        if idx <= impact_frame:
            draw_trajectory(frame_copy, trajectory[:idx + 1])
        else:
            draw_trajectory(frame_copy, trajectory)

        if idx == impact_frame:
            cv2.rectangle(frame_copy, (0, 0), (width, height), (255, 0, 0), 6)

        add_decision_text(frame_copy, decision)
        out.write(frame_copy)

    out.release()
    return output_path, decision