129 lines
4.0 KiB
Python
129 lines
4.0 KiB
Python
# 相机参考工具
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# @路怀帅 2025.12.19 10:32am
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# PS : 新增 加载相机畸变KD 视频对比显示功能
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import cv2
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import threading
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import sys
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from datetime import datetime
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import os
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import argparse
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import numpy as np
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# 全局变量
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frame = None
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running = True
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which_camera = 0
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# 加载鱼眼相机参数
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K = np.array([[5.3402108990030604e+02, 0., 9.2598444295282172e+02],
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[0., 5.3455325152709827e+02, 5.7771767919091610e+02],
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[0., 0., 1.]])
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D = np.array([-1.8724887233075402e-02, 6.4408558584901701e-03,
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-5.2069636709412993e-03, 8.4815411645490968e-04])
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W, H = 1920, 1080
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def video_thread():
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global frame, running
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cap = cv2.VideoCapture(which_camera, cv2.CAP_ANY)
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cap.set(cv2.CAP_PROP_FOURCC,cv2.VideoWriter_fourcc(*"YUYV"))
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cap.set(cv2.CAP_PROP_FRAME_WIDTH, 1920)
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cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 1080)
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# cap.set(cv2.CAP_PROP_FPS, 30)
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if not cap.isOpened():
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print("[ERROR] Cannot open camera", file=sys.stderr)
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running = False
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return
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# 鱼眼相机去畸变
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map1, map2 = cv2.fisheye.initUndistortRectifyMap(K, D, np.eye(3), K, (W, H), cv2.CV_16SC2)
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while running:
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ret, f = cap.read()
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if not ret:
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break
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# 图像去畸变
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undistorted = cv2.remap(f, map1, map2, interpolation=cv2.INTER_LINEAR, borderMode=cv2.BORDER_CONSTANT)
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# 拼接原视频和抗畸变后的视频 （左右显示）
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comparison = np.hstack((f, undistorted))
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scale = min(1920 / comparison.shape[1], 1080 / comparison.shape[0])
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if scale < 1:
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comparison = cv2.resize(comparison, (int(comparison.shape[1] * scale), int(comparison.shape[0] * scale)))
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comparison = comparison.astype(np.uint8)
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# 设置视频流全屏显示
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text_info = f"Camera: {args.i.upper()} | Press 'q' to quit, 's' to screenshot"
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cv2.putText(comparison, text_info, (10, 30),
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cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 255, 0), 2, cv2.LINE_AA)
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cv2.namedWindow('Video old vs new', cv2.WND_PROP_FULLSCREEN)
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cv2.setWindowProperty('Video old vs new', cv2.WND_PROP_FULLSCREEN, cv2.WINDOW_FULLSCREEN)
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cv2.imshow('Video old vs new', comparison)
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if cv2.waitKey(1) & 0xFF == ord('q'):
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running = False
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break
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cap.release()
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cv2.destroyAllWindows()
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def input_thread():
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global running
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print("Commands: 's' = screenshot, 'q' = quit")
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while running:
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try:
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cmd = input().strip().lower()
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if cmd == 's':
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if frame is not None:
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filename = f"./save_img/shot_{datetime.now().strftime('%Y%m%d_%H%M%S')}.jpg"
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cv2.imwrite(filename, frame)
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print(f"[SSH] Saved: {os.path.abspath(filename)}")
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else:
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print("[SSH] No frame available yet.")
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elif cmd == 'q':
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running = False
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break
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else:
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print("[SSH] Unknown command. Use 's' or 'q'.")
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except EOFError:
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break
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if __name__ == "__main__":
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# 获取用户参数启动
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parser = argparse.ArgumentParser(description="Example script with argparse")
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# 获取用户输入的摄像头方位 （front back left right）
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parser.add_argument("--i", type=str, required=True, help="摄像头方位")
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args = parser.parse_args()
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print("相机方位:", args.i)
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if args.i == "front":
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which_camera = 0
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elif args.i == "back":
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which_camera = 2
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elif args.i == "left":
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which_camera = 1
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elif args.i == "right":
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which_camera = 3
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else:
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print("[ERROR] Invalid camera direction. Use 'front', 'back', 'left', or 'right'.", file=sys.stderr)
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running = False
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exit(1)
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# 启动视频线程
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vt = threading.Thread(target=video_thread, daemon=True)
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vt.start()
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# 主线程监听 SSH 输入
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input_thread()
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print("[INFO] Exiting...")
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