import socket import cv2 import numpy as np import threading import queue import time import os # ==================== 地面站核心配置 ==================== PORT = 9999 SAVE_DIR = "./asset/saved_video" SAVE_PATH = os.path.join(SAVE_DIR, "ground_station_record.mp4") RECORD_FPS = 24.0 # 录像固定的标准帧率 # ======================================================= # 确保保存视频的文件夹存在 if not os.path.exists(SAVE_DIR): os.makedirs(SAVE_DIR) # 核心线程共享:最新的一帧画面与互斥锁(防止读写冲突) latest_frame = None frame_lock = threading.Lock() is_running = True def udp_receiver_thread(): """ 📡 后台极速收包线程 """ global latest_frame, is_running sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) # 放大系统内核缓冲区到 4MB,全力应对图传电台的无线网络抖动 sock.setsockopt(socket.SOL_SOCKET, socket.SO_RCVBUF, 4 * 1024 * 1024) try: sock.bind(('0.0.0.0', PORT)) print(f"📡 [地面站接收端] 已启动,正在监听 UDP 端口 {PORT}...") except Exception as e: print(f"❌ 端口绑定失败: {e}") is_running = False return while is_running: try: packet, addr = sock.recvfrom(65535) data = np.frombuffer(packet, dtype=np.uint8) frame = cv2.imdecode(data, cv2.IMREAD_COLOR) if frame is not None: # 安全地更新最新的一帧,瞬间覆盖老帧,杜绝延迟积压 with frame_lock: latest_frame = frame except Exception as e: if is_running: print(f"⚠️ 接收解码异常: {e}") time.sleep(0.01) sock.close() def main(): global latest_frame, is_running # 1. 启动后台无线电收包线程 recv_t = threading.Thread(target=udp_receiver_thread, daemon=True) recv_t.start() # 2. 初始化地面站专用录像机 (对应香橙派最后一刻 resize 后的 640x480) fourcc = cv2.VideoWriter_fourcc(*'mp4v') video_writer = cv2.VideoWriter(SAVE_PATH, fourcc, RECORD_FPS, (640, 480)) print(f"📹 视频录像机就绪,文件将安全保存在: {SAVE_PATH}") # 用于计算接收端实时刷新率 fps_start_time = time.time() fps_counter = 0 fps_display = 0 # 严格按照发送端的帧率控制循环步长(1 / 24秒 ≈ 0.0416秒) frame_interval = 1.0 / RECORD_FPS last_frame_recorded = None print("🖥️ 监视窗口已建立,等待无人机连接推流...") try: while is_running: loop_start = time.time() # 从共享区取出最新帧 current_frame = None with frame_lock: if latest_frame is not None: current_frame = latest_frame.copy() # 无线图传时延容错核心逻辑: if current_frame is not None: # 拿到了图传新帧,更新最后记录的有效帧 last_frame_recorded = current_frame elif last_frame_recorded is not None: # 【抗干扰核心】当前瞬间电台丢包没收到新图,复制上一帧顶替,防止视频时间轴缩水变快 current_frame = last_frame_recorded.copy() # 如果已经有画面可渲染(无论是新帧还是补偿帧) if current_frame is not None: # 录像写入(PC 的强悍 CPU 在后台无感硬写磁盘,完全不拖累香橙派的 NPU) video_writer.write(current_frame) # 计算并渲染接收端的显示 FPS fps_counter += 1 if (time.time() - fps_start_time) > 1.0: fps_display = fps_counter fps_counter = 0 fps_start_time = time.time() # 在右上角标注实时的图传显示帧率 cv2.putText(current_frame, f"GCS FPS: {fps_display}", (current_frame.shape[1] - 140, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0), 2) # 实时监控显示 cv2.imshow("🚀 UAV AI Ground Station Monitor", current_frame) # 按键检测(按 'q' 安全退出) if cv2.waitKey(1) & 0xFF == ord('q'): print("👋 接收到关闭指令...") break # 严格控制写入频率,使其匹配 24.0 FPS 的时间流速 time_used = time.time() - loop_start sleep_time = frame_interval - time_used if sleep_time > 0: time.sleep(sleep_time) finally: # 善后处理:确保内存日志和视频安全落盘 is_running = False video_writer.release() cv2.destroyAllWindows() print("\n=======================================================") print(f"✅ 地面站已安全关闭。") print(f"🎬 带有精确检测框、对准线和控制误差的视频已成功保存在:\n {SAVE_PATH}") print("=======================================================") if __name__ == "__main__": main()