509 lines
16 KiB
Python
509 lines
16 KiB
Python
"""
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ALVR串流处理器
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负责与ALVR服务器通信和视频流传输
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支持Quest等VR头显的无线串流
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"""
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import socket
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import struct
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import threading
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import json
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import time
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import subprocess
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import psutil
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from direct.showbase.DirectObject import DirectObject
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from panda3d.core import Texture, PNMImage
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class ALVRStreamer(DirectObject):
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"""ALVR串流处理器"""
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def __init__(self, world, vr_manager):
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super().__init__()
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self.world = world
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self.vr_manager = vr_manager
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# ALVR服务器配置
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self.alvr_server_ip = "127.0.0.1"
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self.alvr_server_port = 9943
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self.alvr_streaming_port = 9944
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# 连接状态
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self.connected = False
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self.streaming = False
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self.server_socket = None
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self.streaming_socket = None
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# 流媒体配置
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self.stream_width = 2880 # Quest 2 推荐分辨率
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self.stream_height = 1700
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self.stream_fps = 72
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self.bitrate = 150 # Mbps
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self.codec = "h264"
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# 线程管理
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self.connection_thread = None
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self.streaming_thread = None
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self.running = False
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# 性能统计
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self.frame_count = 0
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self.last_fps_time = time.time()
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self.current_fps = 0
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self.latency = 0
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print("✓ ALVR串流处理器初始化完成")
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def initialize(self):
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"""初始化ALVR串流"""
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try:
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# 检查ALVR服务器是否运行
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if not self._check_alvr_server():
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print("ALVR服务器未运行，尝试启动...")
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if not self._start_alvr_server():
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print("无法启动ALVR服务器")
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return False
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# 连接到ALVR服务器
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if not self._connect_to_server():
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print("无法连接到ALVR服务器")
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return False
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# 配置流媒体设置
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self._configure_streaming()
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# 启动串流线程
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self._start_streaming_threads()
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print("✓ ALVR串流初始化成功")
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return True
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except Exception as e:
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print(f"ALVR初始化错误: {str(e)}")
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return False
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def _check_alvr_server(self):
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"""检查ALVR服务器是否运行"""
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try:
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# 检查进程
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for proc in psutil.process_iter(['pid', 'name', 'cmdline']):
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if 'alvr' in proc.info['name'].lower():
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return True
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# 尝试连接端口
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sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
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sock.settimeout(2)
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result = sock.connect_ex((self.alvr_server_ip, self.alvr_server_port))
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sock.close()
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return result == 0
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except Exception as e:
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print(f"检查ALVR服务器错误: {str(e)}")
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return False
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def _start_alvr_server(self):
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"""启动ALVR服务器"""
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try:
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# 尝试启动ALVR服务器
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# 这里需要根据实际的ALVR安装路径调整
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alvr_paths = [
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"/usr/local/bin/alvr_server",
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"/usr/bin/alvr_server",
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"C:/Program Files/ALVR/alvr_server.exe",
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"C:/ALVR/alvr_server.exe"
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]
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for path in alvr_paths:
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try:
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subprocess.Popen([path], shell=True)
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time.sleep(3) # 等待服务器启动
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if self._check_alvr_server():
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return True
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except FileNotFoundError:
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continue
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return False
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except Exception as e:
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print(f"启动ALVR服务器错误: {str(e)}")
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return False
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def _connect_to_server(self):
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"""连接到ALVR服务器"""
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try:
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# 创建TCP连接
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self.server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
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self.server_socket.settimeout(5)
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self.server_socket.connect((self.alvr_server_ip, self.alvr_server_port))
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# 发送握手消息
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handshake_data = {
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"type": "handshake",
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"client_name": "Panda3D_VR_Engine",
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"version": "1.0",
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"capabilities": {
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"video": True,
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"audio": True,
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"tracking": True,
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"haptics": True
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}
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}
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self._send_message(handshake_data)
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# 接收响应
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response = self._receive_message()
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if response and response.get("type") == "handshake_response":
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self.connected = True
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print("✓ 已连接到ALVR服务器")
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return True
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return False
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except Exception as e:
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print(f"连接ALVR服务器错误: {str(e)}")
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return False
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def _send_message(self, data):
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"""发送消息到ALVR服务器"""
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try:
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message = json.dumps(data).encode('utf-8')
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length = struct.pack('<I', len(message))
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self.server_socket.send(length + message)
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except Exception as e:
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print(f"发送消息错误: {str(e)}")
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def _receive_message(self):
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"""从ALVR服务器接收消息"""
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try:
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# 接收消息长度
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length_data = self.server_socket.recv(4)
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if not length_data:
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return None
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length = struct.unpack('<I', length_data)[0]
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# 接收消息内容
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message_data = b''
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while len(message_data) < length:
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chunk = self.server_socket.recv(length - len(message_data))
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if not chunk:
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return None
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message_data += chunk
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return json.loads(message_data.decode('utf-8'))
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except Exception as e:
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print(f"接收消息错误: {str(e)}")
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return None
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def _configure_streaming(self):
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"""配置流媒体设置"""
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try:
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# 发送流媒体配置
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config_data = {
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"type": "stream_config",
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"video": {
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"width": self.stream_width,
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"height": self.stream_height,
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"fps": self.stream_fps,
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"bitrate": self.bitrate,
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"codec": self.codec
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},
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"audio": {
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"enabled": True,
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"sample_rate": 48000,
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"channels": 2
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}
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}
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self._send_message(config_data)
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# 接收配置响应
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response = self._receive_message()
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if response and response.get("type") == "config_response":
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if response.get("status") == "success":
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print("✓ 流媒体配置成功")
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return True
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return False
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except Exception as e:
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print(f"配置流媒体错误: {str(e)}")
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return False
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def _start_streaming_threads(self):
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"""启动串流线程"""
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self.running = True
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# 启动连接管理线程
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self.connection_thread = threading.Thread(target=self._connection_handler)
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self.connection_thread.daemon = True
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self.connection_thread.start()
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# 启动流媒体线程
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self.streaming_thread = threading.Thread(target=self._streaming_handler)
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self.streaming_thread.daemon = True
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self.streaming_thread.start()
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def _connection_handler(self):
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"""连接处理线程"""
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while self.running:
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try:
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if self.connected:
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# 发送心跳
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heartbeat = {"type": "heartbeat", "timestamp": time.time()}
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self._send_message(heartbeat)
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# 接收消息
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response = self._receive_message()
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if response:
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self._handle_server_message(response)
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time.sleep(0.1)
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except Exception as e:
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print(f"连接处理错误: {str(e)}")
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self.connected = False
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time.sleep(1)
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def _streaming_handler(self):
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"""流媒体处理线程"""
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while self.running:
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try:
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if self.connected and self.streaming:
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# 获取VR渲染帧
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frame_data = self._get_vr_frame()
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if frame_data:
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# 发送帧数据
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self._send_frame(frame_data)
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# 更新性能统计
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self._update_performance_stats()
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time.sleep(1.0 / self.stream_fps)
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except Exception as e:
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print(f"流媒体处理错误: {str(e)}")
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time.sleep(0.1)
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def _handle_server_message(self, message):
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"""处理服务器消息"""
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msg_type = message.get("type")
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if msg_type == "start_streaming":
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self.streaming = True
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print("✓ 开始VR串流")
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elif msg_type == "stop_streaming":
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self.streaming = False
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print("✓ 停止VR串流")
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elif msg_type == "client_connected":
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print(f"✓ VR客户端已连接: {message.get('client_info', {})}")
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elif msg_type == "client_disconnected":
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print("✓ VR客户端已断开")
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elif msg_type == "tracking_data":
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self._handle_tracking_data(message.get("data"))
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elif msg_type == "haptic_feedback":
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self._handle_haptic_feedback(message.get("data"))
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def _handle_tracking_data(self, tracking_data):
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"""处理跟踪数据"""
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if not tracking_data:
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return
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# 更新VR管理器的跟踪数据
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# 这里可以处理从ALVR客户端发送的跟踪数据
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pass
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def _handle_haptic_feedback(self, haptic_data):
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"""处理触觉反馈"""
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if not haptic_data:
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return
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# 处理触觉反馈请求
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# 这里可以控制VR控制器的震动等
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pass
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def _get_vr_frame(self):
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"""获取VR渲染帧"""
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try:
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if not self.vr_manager.is_vr_enabled():
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return None
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# 获取左右眼纹理
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left_texture = self.vr_manager.eye_textures.get('left')
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right_texture = self.vr_manager.eye_textures.get('right')
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if not left_texture or not right_texture:
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return None
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# 合成立体帧
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frame_data = self._compose_stereo_frame(left_texture, right_texture)
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return frame_data
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except Exception as e:
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print(f"获取VR帧错误: {str(e)}")
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return None
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def _compose_stereo_frame(self, left_texture, right_texture):
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"""合成立体帧"""
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try:
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# 创建组合图像
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combined_image = PNMImage(self.stream_width, self.stream_height)
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# 获取左右眼图像
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left_image = PNMImage()
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right_image = PNMImage()
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if left_texture.store(left_image) and right_texture.store(right_image):
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# 将左右眼图像合并（Side-by-Side布局）
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left_width = self.stream_width // 2
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# 缩放左眼图像到左半部分
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left_scaled = PNMImage(left_width, self.stream_height)
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left_scaled.quickFilterFrom(left_image)
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combined_image.copySubImage(left_scaled, 0, 0)
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# 缩放右眼图像到右半部分
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right_scaled = PNMImage(left_width, self.stream_height)
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right_scaled.quickFilterFrom(right_image)
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combined_image.copySubImage(right_scaled, left_width, 0)
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# 转换为字节数据
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return combined_image.makeRamImage()
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return None
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except Exception as e:
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print(f"合成立体帧错误: {str(e)}")
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return None
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def _send_frame(self, frame_data):
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"""发送帧数据"""
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try:
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if not self.server_socket:
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return
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# 创建帧消息
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frame_message = {
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"type": "video_frame",
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"timestamp": time.time(),
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"width": self.stream_width,
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"height": self.stream_height,
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"format": "rgb",
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"data": frame_data.hex() # 转换为十六进制字符串
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}
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self._send_message(frame_message)
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except Exception as e:
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print(f"发送帧错误: {str(e)}")
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def _update_performance_stats(self):
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"""更新性能统计"""
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self.frame_count += 1
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current_time = time.time()
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if current_time - self.last_fps_time >= 1.0:
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self.current_fps = self.frame_count
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self.frame_count = 0
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self.last_fps_time = current_time
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def start_streaming(self):
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"""开始串流"""
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if not self.connected:
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print("未连接到ALVR服务器")
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return False
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start_message = {"type": "start_streaming"}
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self._send_message(start_message)
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return True
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def stop_streaming(self):
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"""停止串流"""
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if not self.connected:
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return
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stop_message = {"type": "stop_streaming"}
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self._send_message(stop_message)
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self.streaming = False
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def send_haptic_feedback(self, controller_id, duration, intensity):
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"""发送触觉反馈"""
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if not self.connected:
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return
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haptic_message = {
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"type": "haptic_feedback",
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"controller_id": controller_id,
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"duration": duration,
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"intensity": intensity
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}
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self._send_message(haptic_message)
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def get_streaming_status(self):
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"""获取串流状态"""
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return {
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"connected": self.connected,
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"streaming": self.streaming,
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"fps": self.current_fps,
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"latency": self.latency,
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"resolution": f"{self.stream_width}x{self.stream_height}",
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"bitrate": self.bitrate
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}
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def set_stream_quality(self, width, height, fps, bitrate):
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"""设置串流质量"""
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self.stream_width = width
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self.stream_height = height
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self.stream_fps = fps
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self.bitrate = bitrate
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# 如果正在串流，重新配置
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if self.streaming:
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self._configure_streaming()
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def shutdown(self):
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"""关闭串流"""
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print("关闭ALVR串流...")
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self.running = False
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self.streaming = False
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# 发送断开消息
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if self.connected:
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disconnect_message = {"type": "disconnect"}
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self._send_message(disconnect_message)
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# 关闭连接
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if self.server_socket:
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self.server_socket.close()
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if self.streaming_socket:
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self.streaming_socket.close()
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# 等待线程结束
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if self.connection_thread:
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self.connection_thread.join(timeout=2)
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if self.streaming_thread:
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self.streaming_thread.join(timeout=2)
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self.connected = False
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print("✓ ALVR串流已关闭")
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def is_connected(self):
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"""检查是否连接"""
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return self.connected
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def is_streaming(self):
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"""检查是否在串流"""
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return self.streaming |