165 lines
5.0 KiB
Python
165 lines
5.0 KiB
Python
import queue
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import asyncio
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import aiohttp
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import threading
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import time
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from aiortc import RTCPeerConnection, RTCSessionDescription, RTCConfiguration
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from aiortc.mediastreams import MediaStreamTrack
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# 创建一个长度为1的队列，用于生产者和消费者之间的通信
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frame_queue = queue.Queue(maxsize=1)
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class VideoTrack(MediaStreamTrack):
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"""自定义视频轨道类，继承自MediaStreamTrack"""
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kind = "video"
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def __init__(self, max_frames=100):
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super().__init__()
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self.frames = queue.Queue(maxsize=max_frames)
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async def recv(self):
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return await super().recv()
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def webrtc_producer(webrtc_url):
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"""
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生产者方法：从WEBRTC读取视频帧并放入队列
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仅当队列空时才放入新帧，否则丢弃
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"""
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loop = asyncio.new_event_loop()
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asyncio.set_event_loop(loop)
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# 创建RTCPeerConnection对象，不使用ICE服务器
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pc = RTCPeerConnection(RTCConfiguration(iceServers=[]))
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video_track = VideoTrack()
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pc.addTrack(video_track)
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@pc.on("track")
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async def on_track(track):
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if track.kind == "video":
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print("接收到视频轨道，开始接收视频帧")
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while True:
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# 从轨道接收视频帧
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frame = await track.recv()
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# 转换为BGR24格式的NumPy数组
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frame_bgr24 = frame.to_ndarray(format='bgr24')
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# 检查队列是否为空，为空则加入，否则丢弃
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if frame_queue.empty():
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try:
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frame_queue.put_nowait(frame_bgr24)
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print("帧已放入队列")
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except queue.Full:
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print("队列已满，丢弃帧")
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else:
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print("队列非空，丢弃帧")
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async def main():
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# 创建并发送SDP Offer
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offer = await pc.createOffer()
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print("已创建本地SDP Offer")
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await pc.setLocalDescription(offer)
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# 发送Offer到服务器并接收Answer
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async with aiohttp.ClientSession() as session:
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print(f"开始向服务器 {webrtc_url} 发送SDP Offer")
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async with session.post(
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webrtc_url,
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data=offer.sdp.encode(),
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headers={
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"Content-Type": "application/sdp",
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"Content-Length": str(len(offer.sdp))
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},
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ssl=False
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) as response:
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print("已接收到服务器的响应")
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answer_sdp = await response.text()
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await pc.setRemoteDescription(RTCSessionDescription(sdp=answer_sdp, type='answer'))
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# 保持连接
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try:
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while True:
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await asyncio.sleep(0.1)
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except KeyboardInterrupt:
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pass
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finally:
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print("关闭RTCPeerConnection")
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await pc.close()
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try:
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loop.run_until_complete(main())
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finally:
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loop.close()
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def frame_consumer(ip):
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"""
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消费者方法：从队列中读取帧并处理
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每次处理后休眠200ms模拟延迟
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"""
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print("消费者启动，开始等待帧...")
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try:
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while True:
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# 阻塞等待队列中的帧
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frame = frame_queue.get()
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print(f"消费帧，大小: {frame.shape}")
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has_violation, violations, confidences = OCRViolationDetector.detect(frame)
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# 输出检测结果
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if has_violation:
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detector.logger.info(f"在图片中检测到 {len(violations)} 个违禁词:")
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for word, conf in zip(violations, confidences):
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detector.logger.info(f"- {word} (置信度: {conf:.4f})")
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else:
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detector.logger.info("图片中未检测到违禁词")
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# 标记任务完成
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frame_queue.task_done()
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except KeyboardInterrupt:
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print("消费者退出")
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def start_webrtc_stream(ip, webrtc_url):
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"""
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启动WebRTC视频流处理的主方法
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参数: webrtc_url - WebRTC服务器地址
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"""
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print(f"开始连接到WebRTC服务器: {webrtc_url}")
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# 启动生产者线程
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producer_thread = threading.Thread(
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target=webrtc_producer,
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args=(webrtc_url,),
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daemon=True,
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name="webrtc-producer"
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)
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# 启动消费者线程
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consumer_thread = threading.Thread(
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target=frame_consumer(ip),
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daemon=True,
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name="frame-consumer"
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)
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producer_thread.start()
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consumer_thread.start()
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print("生产者和消费者线程已启动")
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try:
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# 保持主线程运行
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while True:
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time.sleep(1)
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except KeyboardInterrupt:
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print("程序正在退出...")
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if __name__ == "__main__":
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# 示例用法
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# 实际使用时替换为真实的WebRTC服务器地址
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webrtc_server_url = "http://192.168.110.65:1985/rtc/v1/whep/?app=live&stream=677a4845aa48cb8526c811ad56fc5e60"
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start_webrtc_stream(webrtc_server_url)
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