读取帧优化
This commit is contained in:
ZZX9599
117
core/rtc.py
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117
core/rtc.py
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@ -0,0 +1,117 @@
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import asyncio
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import logging
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from aiortc import RTCPeerConnection, RTCSessionDescription
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import aiohttp
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# 配置日志
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger("whep_video_puller")
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async def whep_pull_video_stream(whep_url):
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"""
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通过WHEP从指定URL拉取视频流并在收到每一帧时打印消息
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Args:
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whep_url: WHEP端点的URL
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"""
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pc = RTCPeerConnection()
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# 添加连接状态变化监听
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@pc.on("connectionstatechange")
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async def on_connectionstatechange():
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print(f"连接状态: {pc.connectionState}")
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# 添加ICE连接状态变化监听
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@pc.on("iceconnectionstatechange")
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async def on_iceconnectionstatechange():
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print(f"ICE连接状态: {pc.iceConnectionState}")
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# 添加视频接收器
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pc.addTransceiver("video", direction="recvonly")
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# 处理接收到的视频轨道
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@pc.on("track")
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def on_track(track):
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print(f"接收到轨道: {track.kind}")
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if track.kind == "video":
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print(f"轨道ID: {track.id}")
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print(f"轨道就绪状态: {track.readyState}")
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# 创建异步任务来处理视频帧
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asyncio.ensure_future(handle_video_track(track))
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async def handle_video_track(track):
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"""处理视频轨道，接收并打印每一帧"""
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frame_count = 0
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print("开始处理视频轨道...")
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while True:
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try:
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# 尝试接收帧
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frame = await track.recv()
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frame_count += 1
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print(f"收到原始帧 (第{frame_count}帧)")
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# 打印帧的基本信息
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if hasattr(frame, 'width') and hasattr(frame, 'height'):
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print(f" 尺寸: {frame.width}x{frame.height}")
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if hasattr(frame, 'time_base'):
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print(f" 时间基准: {frame.time_base}")
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if hasattr(frame, 'pts'):
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print(f" 显示时间戳: {frame.pts}")
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except Exception as e:
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print(f"接收帧时出错: {e}")
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# 等待一段时间后重试
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await asyncio.sleep(0.1)
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continue
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# 创建offer
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offer = await pc.createOffer()
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await pc.setLocalDescription(offer)
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print(f"本地SDP信息:\n{offer.sdp}")
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# 通过HTTP POST发送offer到WHEP端点
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async with aiohttp.ClientSession() as session:
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async with session.post(
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whep_url,
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data=offer.sdp,
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headers={"Content-Type": "application/sdp"}
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) as response:
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if response.status != 201:
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print(f"WHEP服务器返回错误: {response.status}")
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print(f"响应内容: {await response.text()}")
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raise Exception(f"WHEP服务器返回错误: {response.status}")
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# 获取answer SDP
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answer_sdp = await response.text()
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# 创建RTCSessionDescription对象
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answer = RTCSessionDescription(sdp=answer_sdp, type="answer")
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print(f"收到远程SDP:\n{answer_sdp}")
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# 设置远程描述
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await pc.setRemoteDescription(answer)
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print("连接已建立，开始接收视频流...")
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# 保持连接，直到用户中断
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try:
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while True:
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await asyncio.sleep(1)
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# 检查连接状态
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print(f"当前连接状态: {pc.connectionState}")
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except KeyboardInterrupt:
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print("用户中断，关闭连接...")
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finally:
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await pc.close()
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if __name__ == "__main__":
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# 替换为你的WHEP端点URL
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WHEP_URL = "http://192.168.110.25:1985/rtc/v1/whep/?app=live&stream=473b95a47e338301cbd96809ea7ac416"
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# 运行拉流任务
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asyncio.run(whep_pull_video_stream(WHEP_URL))
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101
core/rtmp.py
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101
core/rtmp.py
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@ -0,0 +1,101 @@
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import asyncio
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import logging
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import cv2
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import time
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# 配置日志（与WHEP代码保持一致的日志风格）
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger("rtmp_video_puller")
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async def rtmp_pull_video_stream(rtmp_url):
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"""
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通过RTMP从指定URL拉取视频流并在收到每一帧时打印消息
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功能与WHEP拉流函数对齐：流状态反馈、帧信息打印、帧率统计、异常处理
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Args:
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rtmp_url: RTMP流的URL地址（如 rtmp://xxx/live/stream_key）
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"""
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cap = None # 初始化视频捕获对象
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try:
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# 1. 异步打开RTMP流（指定FFmpeg后端确保RTMP兼容性，同步操作通过to_thread避免阻塞事件循环）
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cap = await asyncio.to_thread(
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cv2.VideoCapture,
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rtmp_url,
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cv2.CAP_FFMPEG # 必须指定FFmpeg后端，RTMP协议依赖该后端解析
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)
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# 2. 检查RTMP流是否成功打开
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is_opened = await asyncio.to_thread(cap.isOpened)
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if not is_opened:
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raise Exception(f"RTMP流打开失败: {rtmp_url}（请检查URL有效性和FFmpeg环境）")
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# 3. 异步获取RTMP流基础信息（分辨率、帧率）
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width = await asyncio.to_thread(cap.get, cv2.CAP_PROP_FRAME_WIDTH)
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height = await asyncio.to_thread(cap.get, cv2.CAP_PROP_FRAME_HEIGHT)
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fps = await asyncio.to_thread(cap.get, cv2.CAP_PROP_FPS)
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# 处理异常情况：部分RTMP流未返回帧率时默认30FPS
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fps = fps if fps > 0 else 30.0
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# 分辨率转为整数（视频尺寸必然是整数）
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width, height = int(width), int(height)
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# 打印流初始化成功信息（与WHEP连接成功信息风格一致）
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print(f"RTMP流状态: 已成功连接")
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print(f"流基础信息: 分辨率 {width}x{height} | 配置帧率 {fps:.2f} FPS")
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print("开始接收视频帧...（按 Ctrl+C 中断）")
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# 4. 初始化帧统计参数
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frame_count = 0 # 总接收帧数
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start_time = time.time() # 统计起始时间
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# 5. 循环异步读取视频帧（核心逻辑）
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while True:
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# 异步读取一帧（cv2.read是同步操作，用to_thread适配异步环境）
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ret, frame = await asyncio.to_thread(cap.read)
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# 检查帧是否读取成功（流中断/结束时ret为False）
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if not ret:
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print(f"RTMP流状态: 帧读取失败（可能流已中断或结束）")
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break
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# 帧计数累加
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frame_count += 1
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# 6. 打印当前帧基础信息（与WHEP帧信息打印风格对齐）
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print(f"收到帧 (第{frame_count}帧)")
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print(f" 帧尺寸: {width}x{height}")
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print(f" 配置帧率: {fps:.2f} FPS")
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# 7. 每100帧统计一次实际接收帧率（补充性能监控，与原RTMP示例逻辑一致）
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if frame_count % 100 == 0:
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elapsed_time = time.time() - start_time
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actual_fps = frame_count / elapsed_time # 实际接收帧率（可能低于配置帧率）
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print(f"---- 帧统计: 累计{frame_count}帧 | 实际平均帧率 {actual_fps:.2f} FPS ----")
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# （可选）帧数据处理入口：如需处理帧（如推流、分析），可在此处添加逻辑
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# 示例：yield frame （若需生成器模式，可调整函数为异步生成器）
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# 8. 异常处理（覆盖用户中断、通用错误）
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except KeyboardInterrupt:
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print(f"\n用户操作: 已通过 Ctrl+C 中断程序")
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except Exception as e:
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# 日志记录详细错误（便于问题排查），同时打印用户可见信息
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logger.error(f"RTMP流处理异常: {str(e)}", exc_info=True)
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print(f"错误信息: {str(e)}")
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finally:
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# 9. 资源释放（无论成功/失败都确保释放，避免内存泄漏）
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if cap is not None:
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await asyncio.to_thread(cap.release)
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print(f"\n资源释放: RTMP流已关闭")
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print(f"最终统计: 共接收 {frame_count if 'frame_count' in locals() else 0} 帧")
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if __name__ == "__main__":
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RTMP_URL = "rtmp://192.168.110.25:1935/live/473b95a47e338301cbd96809ea7ac416"
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# 运行RTMP拉流任务（与WHEP一致的异步执行方式）
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try:
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asyncio.run(rtmp_pull_video_stream(RTMP_URL))
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except Exception as e:
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print(f"程序启动失败: {str(e)}")
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230
rtc/rtc.py
230
rtc/rtc.py
@ -1,155 +1,117 @@
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import queue
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import asyncio
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import logging
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from aiortc import RTCPeerConnection, RTCSessionDescription
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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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# 配置日志
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger("whep_video_puller")
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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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async def whep_pull_video_stream(whep_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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通过WHEP从指定URL拉取视频流并在收到每一帧时打印消息
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Args:
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whep_url: WHEP端点的URL
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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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pc = RTCPeerConnection()
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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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# 添加连接状态变化监听
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@pc.on("connectionstatechange")
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async def on_connectionstatechange():
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print(f"连接状态: {pc.connectionState}")
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# 添加ICE连接状态变化监听
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@pc.on("iceconnectionstatechange")
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async def on_iceconnectionstatechange():
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print(f"ICE连接状态: {pc.iceConnectionState}")
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# 添加视频接收器
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pc.addTransceiver("video", direction="recvonly")
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# 处理接收到的视频轨道
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@pc.on("track")
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async def on_track(track):
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def on_track(track):
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print(f"接收到轨道: {track.kind}")
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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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print(f"轨道ID: {track.id}")
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print(f"轨道就绪状态: {track.readyState}")
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# 创建异步任务来处理视频帧
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asyncio.ensure_future(handle_video_track(track))
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async def handle_video_track(track):
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"""处理视频轨道，接收并打印每一帧"""
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frame_count = 0
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print("开始处理视频轨道...")
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while True:
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try:
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# 尝试接收帧
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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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frame_count += 1
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print(f"收到原始帧 (第{frame_count}帧)")
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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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# 打印帧的基本信息
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if hasattr(frame, 'width') and hasattr(frame, 'height'):
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print(f" 尺寸: {frame.width}x{frame.height}")
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if hasattr(frame, 'time_base'):
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print(f" 时间基准: {frame.time_base}")
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if hasattr(frame, 'pts'):
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print(f" 显示时间戳: {frame.pts}")
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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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except Exception as e:
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print(f"接收帧时出错: {e}")
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# 等待一段时间后重试
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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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continue
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# 创建offer
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offer = await pc.createOffer()
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await pc.setLocalDescription(offer)
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print(f"本地SDP信息:\n{offer.sdp}")
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# 通过HTTP POST发送offer到WHEP端点
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async with aiohttp.ClientSession() as session:
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async with session.post(
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whep_url,
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data=offer.sdp,
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headers={"Content-Type": "application/sdp"}
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) as response:
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if response.status != 201:
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print(f"WHEP服务器返回错误: {response.status}")
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print(f"响应内容: {await response.text()}")
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raise Exception(f"WHEP服务器返回错误: {response.status}")
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# 获取answer SDP
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answer_sdp = await response.text()
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# 创建RTCSessionDescription对象
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answer = RTCSessionDescription(sdp=answer_sdp, type="answer")
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print(f"收到远程SDP:\n{answer_sdp}")
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# 设置远程描述
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await pc.setRemoteDescription(answer)
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print("连接已建立，开始接收视频流...")
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# 保持连接，直到用户中断
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try:
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loop.run_until_complete(main())
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while True:
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await asyncio.sleep(1)
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# 检查连接状态
|
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print(f"当前连接状态: {pc.connectionState}")
|
||||
except KeyboardInterrupt:
|
||||
print("用户中断，关闭连接...")
|
||||
finally:
|
||||
loop.close()
|
||||
|
||||
|
||||
def frame_consumer():
|
||||
"""
|
||||
消费者方法：从队列中读取帧并处理
|
||||
每次处理后休眠200ms模拟延迟
|
||||
"""
|
||||
print("消费者启动，开始等待帧...")
|
||||
try:
|
||||
while True:
|
||||
# 阻塞等待队列中的帧
|
||||
frame = frame_queue.get()
|
||||
print(f"消费帧，大小: {frame.shape}")
|
||||
|
||||
# 模拟处理延迟
|
||||
time.sleep(0.2) # 200ms
|
||||
|
||||
# 标记任务完成
|
||||
frame_queue.task_done()
|
||||
except KeyboardInterrupt:
|
||||
print("消费者退出")
|
||||
|
||||
|
||||
def start_webrtc_stream(webrtc_url):
|
||||
"""
|
||||
启动WebRTC视频流处理的主方法
|
||||
参数: webrtc_url - WebRTC服务器地址
|
||||
"""
|
||||
print(f"开始连接到WebRTC服务器: {webrtc_url}")
|
||||
|
||||
# 启动生产者线程
|
||||
producer_thread = threading.Thread(
|
||||
target=webrtc_producer,
|
||||
args=(webrtc_url,),
|
||||
daemon=True,
|
||||
name="webrtc-producer"
|
||||
)
|
||||
|
||||
# 启动消费者线程
|
||||
consumer_thread = threading.Thread(
|
||||
target=frame_consumer,
|
||||
daemon=True,
|
||||
name="frame-consumer"
|
||||
)
|
||||
|
||||
producer_thread.start()
|
||||
consumer_thread.start()
|
||||
print("生产者和消费者线程已启动")
|
||||
|
||||
try:
|
||||
# 保持主线程运行
|
||||
while True:
|
||||
time.sleep(1)
|
||||
except KeyboardInterrupt:
|
||||
print("程序正在退出...")
|
||||
await pc.close()
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
# 示例用法
|
||||
# 实际使用时替换为真实的WebRTC服务器地址
|
||||
webrtc_server_url = "http://192.168.110.65:1985/rtc/v1/whep/?app=live&stream=677a4845aa48cb8526c811ad56fc5e60"
|
||||
start_webrtc_stream(webrtc_server_url)
|
||||
# 替换为你的WHEP端点URL
|
||||
WHEP_URL = "http://192.168.110.25:1985/rtc/v1/whep/?app=live&stream=473b95a47e338301cbd96809ea7ac416"
|
||||
|
||||
# 运行拉流任务
|
||||
asyncio.run(whep_pull_video_stream(WHEP_URL))
|
||||
|
||||
101
rtmp/rtmp.py
Normal file
101
rtmp/rtmp.py
Normal file
@ -0,0 +1,101 @@
|
||||
import asyncio
|
||||
import logging
|
||||
import cv2
|
||||
import time
|
||||
|
||||
# 配置日志（与WHEP代码保持一致的日志风格）
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
logger = logging.getLogger("rtmp_video_puller")
|
||||
|
||||
|
||||
async def rtmp_pull_video_stream(rtmp_url):
|
||||
"""
|
||||
通过RTMP从指定URL拉取视频流并在收到每一帧时打印消息
|
||||
功能与WHEP拉流函数对齐：流状态反馈、帧信息打印、帧率统计、异常处理
|
||||
|
||||
Args:
|
||||
rtmp_url: RTMP流的URL地址（如 rtmp://xxx/live/stream_key）
|
||||
"""
|
||||
cap = None # 初始化视频捕获对象
|
||||
try:
|
||||
# 1. 异步打开RTMP流（指定FFmpeg后端确保RTMP兼容性，同步操作通过to_thread避免阻塞事件循环）
|
||||
cap = await asyncio.to_thread(
|
||||
cv2.VideoCapture,
|
||||
rtmp_url,
|
||||
cv2.CAP_FFMPEG # 必须指定FFmpeg后端，RTMP协议依赖该后端解析
|
||||
)
|
||||
|
||||
# 2. 检查RTMP流是否成功打开
|
||||
is_opened = await asyncio.to_thread(cap.isOpened)
|
||||
if not is_opened:
|
||||
raise Exception(f"RTMP流打开失败: {rtmp_url}（请检查URL有效性和FFmpeg环境）")
|
||||
|
||||
# 3. 异步获取RTMP流基础信息（分辨率、帧率）
|
||||
width = await asyncio.to_thread(cap.get, cv2.CAP_PROP_FRAME_WIDTH)
|
||||
height = await asyncio.to_thread(cap.get, cv2.CAP_PROP_FRAME_HEIGHT)
|
||||
fps = await asyncio.to_thread(cap.get, cv2.CAP_PROP_FPS)
|
||||
|
||||
# 处理异常情况：部分RTMP流未返回帧率时默认30FPS
|
||||
fps = fps if fps > 0 else 30.0
|
||||
# 分辨率转为整数（视频尺寸必然是整数）
|
||||
width, height = int(width), int(height)
|
||||
|
||||
# 打印流初始化成功信息（与WHEP连接成功信息风格一致）
|
||||
print(f"RTMP流状态: 已成功连接")
|
||||
print(f"流基础信息: 分辨率 {width}x{height} | 配置帧率 {fps:.2f} FPS")
|
||||
print("开始接收视频帧...（按 Ctrl+C 中断）")
|
||||
|
||||
# 4. 初始化帧统计参数
|
||||
frame_count = 0 # 总接收帧数
|
||||
start_time = time.time() # 统计起始时间
|
||||
|
||||
# 5. 循环异步读取视频帧（核心逻辑）
|
||||
while True:
|
||||
# 异步读取一帧（cv2.read是同步操作，用to_thread适配异步环境）
|
||||
ret, frame = await asyncio.to_thread(cap.read)
|
||||
|
||||
# 检查帧是否读取成功（流中断/结束时ret为False）
|
||||
if not ret:
|
||||
print(f"RTMP流状态: 帧读取失败（可能流已中断或结束）")
|
||||
break
|
||||
|
||||
# 帧计数累加
|
||||
frame_count += 1
|
||||
|
||||
# 6. 打印当前帧基础信息（与WHEP帧信息打印风格对齐）
|
||||
print(f"收到帧 (第{frame_count}帧)")
|
||||
print(f" 帧尺寸: {width}x{height}")
|
||||
print(f" 配置帧率: {fps:.2f} FPS")
|
||||
|
||||
# 7. 每100帧统计一次实际接收帧率（补充性能监控，与原RTMP示例逻辑一致）
|
||||
if frame_count % 100 == 0:
|
||||
elapsed_time = time.time() - start_time
|
||||
actual_fps = frame_count / elapsed_time # 实际接收帧率（可能低于配置帧率）
|
||||
print(f"---- 帧统计: 累计{frame_count}帧 | 实际平均帧率 {actual_fps:.2f} FPS ----")
|
||||
|
||||
# （可选）帧数据处理入口：如需处理帧（如推流、分析），可在此处添加逻辑
|
||||
# 示例：yield frame （若需生成器模式，可调整函数为异步生成器）
|
||||
|
||||
# 8. 异常处理（覆盖用户中断、通用错误）
|
||||
except KeyboardInterrupt:
|
||||
print(f"\n用户操作: 已通过 Ctrl+C 中断程序")
|
||||
except Exception as e:
|
||||
# 日志记录详细错误（便于问题排查），同时打印用户可见信息
|
||||
logger.error(f"RTMP流处理异常: {str(e)}", exc_info=True)
|
||||
print(f"错误信息: {str(e)}")
|
||||
finally:
|
||||
# 9. 资源释放（无论成功/失败都确保释放，避免内存泄漏）
|
||||
if cap is not None:
|
||||
await asyncio.to_thread(cap.release)
|
||||
print(f"\n资源释放: RTMP流已关闭")
|
||||
print(f"最终统计: 共接收 {frame_count if 'frame_count' in locals() else 0} 帧")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
RTMP_URL = "rtmp://192.168.110.25:1935/live/473b95a47e338301cbd96809ea7ac416"
|
||||
|
||||
# 运行RTMP拉流任务（与WHEP一致的异步执行方式）
|
||||
try:
|
||||
asyncio.run(rtmp_pull_video_stream(RTMP_URL))
|
||||
except Exception as e:
|
||||
print(f"程序启动失败: {str(e)}")
|
||||
Reference in New Issue
Block a user