无法使用管道推流

一、问题现象（附报错日志上下文）：
推rtsp流的时候，推本地mp4文件，正常推流，但是使用管道推流rtsp，创建进程的时候就直接报错了

ffmpeg -hwaccel ascend -f rawvideo -pix_fmt bgr24 -s 1190x1080 -rtbufsize 4M -i - -c:v h264_ascend -c:a aac -device_id 0 -channel_id 1 -frame_rate 10 -max_bit_rate 30000 -movement_scene 1 -rc_mode 0 -f rtsp -rtsp_transport tcp rtsp://zlmediakit:554/test/2025-03-14-16-39-11_0
[ERROR] 2025-03-14-16-39-11_0 推流 rtsp://zlmediakit:554/test/2025-03-14-16-39-11_0.live.flv
NoneType: None
ffmpeg version 6f9c9636 Copyright (c) 2000-2021 the FFmpeg developers
  built with gcc 9 (Ubuntu 9.4.0-1ubuntu1~20.04.2)
  configuration: --prefix=./ascend --enable-shared --extra-cflags=-I/usr/local/Ascend/ascend-toolkit/latest/acllib/include --extra-ldflags=-L/usr/local/Ascend/ascend-toolkit/latest/acllib/lib64 --extra-libs='-lacl_dvpp_mpi -lascendcl' --enable-ascend
  libavutil      56. 70.100 / 56. 70.100
  libavcodec     58.134.100 / 58.134.100
  libavformat    58. 76.100 / 58. 76.100
  libavdevice    58. 13.100 / 58. 13.100
  libavfilter     7.110.100 /  7.110.100
  libswscale      5.  9.100 /  5.  9.100
  libswresample   3.  9.100 /  3.  9.100
UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
Model summary (fused): 168 layers, 3006233 parameters, 0 gradients, 8.1 GFLOPs
Input #0, rawvideo, from 'pipe:':
  Duration: N/A, start: 0.000000, bitrate: 771120 kb/s
  Stream #0:0: Video: rawvideo (BGR[24] / 0x18524742), bgr24, 1190x1080, 771120 kb/s, 25 tbr, 25 tbn, 25 tbc
[AVHWDeviceContext @ 0xaaaadaa22d00] device id is: 0.
Stream mapping:
  Stream #0:0 -> #0:0 (rawvideo (native) -> h264 (h264_ascend))
[h264_ascend_enc @ 0xaaaadaa22470] Device id is: 0.
[AVHWDeviceContext @ 0xaaaae4512320] device id is: 0.
[h264_ascend_enc @ 0xaaaadaa22470] Create venc channels success. Channel id is 1.
Encode thread start.
Output #0, rtsp, to 'rtsp://zlmediakit:554/test/2025-03-14-16-39-11_0':
  Metadata:
    encoder         : Lavf58.76.100
  Stream #0:0: Video: h264, nv12(tv, progressive), 1190x1080, q=2-31, 200 kb/s, 25 fps, 90k tbn
    Metadata:
      encoder         : Lavc58.134.100 h264_ascend
[h264_ascend_enc @ 0xaaaadaa22470] Call hi_mpi_venc_send_stream failed, ret is -1610055677.
[h264_ascend @ 0xaaaadaa22030] Encoder send frame failed, ret is -1610055677.
Video encoding failed
[h264_ascend_enc @ 0xaaaadaa22470] Enc sem_timewait = -1, time out, semvalue = 0 ...
[h264_ascend_enc @ 0xaaaadaa22470] Call hi_mpi_venc_query_status failed, ret is -1610055664.
[h264_ascend_enc @ 0xaaaadaa22470] Call get_stream_loop failed, ret is -1.
二、软件版本:
-- CANN 版本 (e.g., CANN 8.0.0):  
--Tensorflow/Pytorch/MindSpore 版本:
--Python 版本 (e.g., Python 3.10.12): 
--操作系统版本 (e.g., debain12):

Ascend/mindsdk-referenceapps

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