ppvehicle进行实时流推流是在第20帧卡住，但无任何报错，寻求帮助

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环境：
环境：window11、nvidia 3060 laptop GPU
CUDA 12.0 paddlepaddle 2.6.0.post120 python 3.8.18

自己有修改部门源码打印fps及写入前后print信息
im = self.visualize_video(frame_rgb, self.pipeline_res,
self.collector, frame_id, fps,
entrance, records, center_traj,
self.illegal_parking_time != -1,
illegal_parking_dict) # visualize
if len(self.pushurl) > 0:
print('write....')
pushstream.pipe.stdin.write(im.tobytes())
print('write end ...',frame_id)

可以根据下面日志看出是在第20帧执行“ pushstream.pipe.stdin.write(im.tobytes())”这一步卡住不动了，无任何报错，一直等待也没有继续执行，不知如何解决

下面是日志：
(pp) E:\AI\PaddleDetection>python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_ppvehicle.yml --pushurl rtsp://127.0.0.1:8554 --device=gpu --rtsp rtsp://10.179.201.155:554/openUrl/tMAMw24
Warning: Unable to use numba in PP-Tracking, please install numba, for example(python3.7): pip install numba==0.56.4
Warning: Unable to use numba in PP-Tracking, please install numba, for example(python3.7): pip install numba==0.56.4
Warning: Unable to use numba in PP-Tracking, please install numba, for example(python3.7): pip install numba==0.56.4
Warning: Unable to use numba in PP-Tracking, please install numba, for example(python3.7): pip install numba==0.56.4
----------- Running Arguments -----------
DET:
batch_size: 1
model_dir: https://bj.bcebos.com/v1/paddledet/models/pipeline/mot_ppyoloe_l_36e_ppvehicle.zip
LANE_SEG:
lane_seg_config: deploy/pipeline/config/lane_seg_config.yml
model_dir: https://bj.bcebos.com/v1/paddledet/models/pipeline/pp_lite_stdc2_bdd100k.zip
MOT:
batch_size: 1
enable: true
model_dir: ../ppvehicle_models/mot_ppyoloe_l_36e_ppvehicle/
skip_frame_num: 10
tracker_config: deploy/pipeline/config/tracker_config.yml
VEHICLE_ATTR:
batch_size: 16
color_threshold: 0.5
enable: true
model_dir: ../ppvehicle_models/vehicle_attribute_infer/
type_threshold: 0.5
VEHICLE_PLATE:
det_limit_side_len: 736
det_limit_type: min
det_model_dir: ../ppvehicle_models/ch_PP-OCRv3_det_infer/
enable: true
rec_batch_num: 6
rec_image_shape:

• 3
• 48
• 320
  rec_model_dir: ../ppvehicle_models/ch_PP-OCRv3_rec_infer/
  word_dict_path: deploy/pipeline/ppvehicle/rec_word_dict.txt
  VEHICLE_PRESSING:
  enable: false
  VEHICLE_RETROGRADE:
  deviation: 23
  enable: false
  fence_line: []
  filter_horizontal_flag: true
  frame_len: 8
  keep_right_flag: true
  move_scale: 0.01
  sample_freq: 7
  crop_thresh: 0.5
  visual: true
  warmup_frame: 50

---

Multi-Object Tracking enabled
Vehicle Plate Recognition enabled
Vehicle Attribute Recognition enabled
<datacollector.DataCollector object at 0x00000292FA0B5190>
DET model dir: C:\Users\Administrator/.cache/paddle/infer_weights\mot_ppyoloe_l_36e_ppvehicle
MOT model dir: ../ppvehicle_models/mot_ppyoloe_l_36e_ppvehicle/
det_model_dir model dir: ../ppvehicle_models/ch_PP-OCRv3_det_infer/
rec_model_dir model dir: ../ppvehicle_models/ch_PP-OCRv3_rec_infer/
VEHICLE_ATTR model dir: ../ppvehicle_models/vehicle_attribute_infer/
LANE_SEG model dir: C:\Users\Administrator/.cache/paddle/infer_weights\pp_lite_stdc2_bdd100k
----------- Model Configuration -----------
Model Arch: PPLCNet
Transform Order:
--transform op: Resize
--transform op: NormalizeImage
--transform op: Permute

----------- Model Configuration -----------
Model Arch: YOLO
Transform Order:
--transform op: Resize
--transform op: Permute

video fps: 25, frame_count: -2562047788015215
the result will push stream to url:rtsp://127.0.0.1:8554\tMAMw24
25
ffmpeg version 7.0-full_build-www.gyan.dev Copyright (c) 2000-2024 the FFmpeg developers
built with gcc 13.2.0 (Rev5, Built by MSYS2 project)
configuration: --enable-gpl --enable-version3 --enable-static --disable-w32threads --disable-autodetect --enable-fontconfig --enable-iconv --enable-gnutls --enable-libxml2 --enable-gmp --enable-bzlib --enable-lzma --enable-libsnappy --enable-zlib --enable-librist --enable-libsrt --enable-libssh --enable-libzmq --enable-avisynth --enable-libbluray --enable-libcaca --enable-sdl2 --enable-libaribb24 --enable-libaribcaption --enable-libdav1d --enable-libdavs2 --enable-libuavs3d --enable-libxevd --enable-libzvbi --enable-librav1e --enable-libsvtav1 --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxavs2 --enable-libxeve --enable-libxvid --enable-libaom --enable-libjxl --enable-libopenjpeg --enable-libvpx --enable-mediafoundation --enable-libass --enable-frei0r --enable-libfreetype --enable-libfribidi --enable-libharfbuzz --enable-liblensfun --enable-libvidstab --enable-libvmaf --enable-libzimg --enable-amf --enable-cuda-llvm --enable-cuvid --enable-dxva2 --enable-d3d11va --enable-d3d12va --enable-ffnvcodec --enable-libvpl --enable-nvdec --enable-nvenc --enable-vaapi --enable-libshaderc --enable-vulkan --enable-libplacebo --enable-opencl --enable-libcdio --enable-libgme --enable-libmodplug --enable-libopenmpt --enable-libopencore-amrwb --enable-libmp3lame --enable-libshine --enable-libtheora --enable-libtwolame --enable-libvo-amrwbenc --enable-libcodec2 --enable-libilbc --enable-libgsm --enable-libopencore-amrnb --enable-libopus --enable-libspeex --enable-libvorbis --enable-ladspa --enable-libbs2b --enable-libflite --enable-libmysofa --enable-librubberband --enable-libsoxr --enable-chromaprint
libavutil 59. 8.100 / 59. 8.100
libavcodec 61. 3.100 / 61. 3.100
libavformat 61. 1.100 / 61. 1.100
libavdevice 61. 1.100 / 61. 1.100
libavfilter 10. 1.100 / 10. 1.100
libswscale 8. 1.100 / 8. 1.100
libswresample 5. 1.100 / 5. 1.100
libpostproc 58. 1.100 / 58. 1.100
Thread: 0; frame id: 0
Thread: 0; trackid number: 5
1
{'output': [['Color: gray', 'Type: Unknown'], ['Color: red', 'Type: sedan'], ['Color: gray', 'Type: van'], ['Color: gray', 'Type: sedan'], ['Color: Unknown', 'Type: Unknown']]}
write....
Input #0, rawvideo, from 'fd:':
Duration: N/A, start: 0.000000, bitrate: 552960 kb/s
write end ... 1
Stream #0:0: Video: rawvideo (BGR[24] / 0x18524742), bgr24, 1280x720, 552960 kb/s, 25 tbr, 25 tbn
Stream mapping:
Stream #0:0 -> #0:0 (rawvideo (native) -> mpeg4 (native))
2
{'output': [['Color: gray', 'Type: Unknown'], ['Color: red', 'Type: sedan'], ['Color: gray', 'Type: van'], ['Color: gray', 'Type: sedan'], ['Color: Unknown', 'Type: Unknown']]}
write....
write end ... 2
3
{'output': [['Color: gray', 'Type: Unknown'], ['Color: red', 'Type: sedan'], ['Color: gray', 'Type: van'], ['Color: gray', 'Type: sedan'], ['Color: Unknown', 'Type: Unknown']]}
write....
write end ... 3
4
{'output': [['Color: gray', 'Type: Unknown'], ['Color: red', 'Type: sedan'], ['Color: gray', 'Type: van'], ['Color: gray', 'Type: sedan'], ['Color: Unknown', 'Type: Unknown']]}
write....
write end ... 4
5
{'output': [['Color: gray', 'Type: Unknown'], ['Color: brown', 'Type: sedan'], ['Color: gray', 'Type: van'], ['Color: gray', 'Type: sedan'], ['Color: Unknown', 'Type: Unknown']]}
write....
write end ... 5
6
{'output': [['Color: gray', 'Type: Unknown'], ['Color: brown', 'Type: sedan'], ['Color: gray', 'Type: van'], ['Color: gray', 'Type: Unknown'], ['Color: Unknown', 'Type: Unknown']]}
write....
write end ... 6
7
{'output': [['Color: gray', 'Type: Unknown'], ['Color: brown', 'Type: sedan'], ['Color: gray', 'Type: van'], ['Color: gray', 'Type: sedan'], ['Color: Unknown', 'Type: Unknown']]}
write....
write end ... 7
8
{'output': [['Color: gray', 'Type: Unknown'], ['Color: red', 'Type: sedan'], ['Color: gray', 'Type: van'], ['Color: gray', 'Type: sedan'], ['Color: Unknown', 'Type: Unknown']]}
write....
write end ... 8
9
{'output': [['Color: gray', 'Type: Unknown'], ['Color: red', 'Type: Unknown'], ['Color: gray', 'Type: van'], ['Color: gray', 'Type: sedan'], ['Color: Unknown', 'Type: Unknown']]}
write....
write end ... 9
10
{'output': [['Color: gray', 'Type: Unknown'], ['Color: red', 'Type: Unknown'], ['Color: gray', 'Type: van'], ['Color: gray', 'Type: sedan'], ['Color: Unknown', 'Type: Unknown']]}
write....
write end ... 10
Thread: 0; frame id: 10
Thread: 0; trackid number: 5
11
{'output': [['Color: gray', 'Type: Unknown'], ['Color: brown', 'Type: sedan'], ['Color: gray', 'Type: van'], ['Color: gray', 'Type: sedan'], ['Color: Unknown', 'Type: Unknown']]}
write....
write end ... 11
12
{'output': [['Color: gray', 'Type: Unknown'], ['Color: red', 'Type: sedan'], ['Color: gray', 'Type: van'], ['Color: gray', 'Type: sedan'], ['Color: Unknown', 'Type: Unknown']]}
write....
write end ... 12
13
{'output': [['Color: gray', 'Type: Unknown'], ['Color: red', 'Type: sedan'], ['Color: gray', 'Type: van'], ['Color: gray', 'Type: sedan'], ['Color: Unknown', 'Type: Unknown']]}
write....
write end ... 13
14
{'output': [['Color: gray', 'Type: Unknown'], ['Color: brown', 'Type: sedan'], ['Color: gray', 'Type: van'], ['Color: gray', 'Type: Unknown'], ['Color: Unknown', 'Type: suv']]}
write....
write end ... 14
15
{'output': [['Color: gray', 'Type: Unknown'], ['Color: brown', 'Type: sedan'], ['Color: gray', 'Type: van'], ['Color: gray', 'Type: Unknown'], ['Color: Unknown', 'Type: suv']]}
write....
write end ... 15
16
{'output': [['Color: gray', 'Type: Unknown'], ['Color: red', 'Type: sedan'], ['Color: gray', 'Type: van'], ['Color: gray', 'Type: Unknown'], ['Color: Unknown', 'Type: suv']]}
write....
write end ... 16
17
{'output': [['Color: gray', 'Type: Unknown'], ['Color: red', 'Type: sedan'], ['Color: gray', 'Type: van'], ['Color: gray', 'Type: Unknown'], ['Color: Unknown', 'Type: suv']]}
write....
write end ... 17
18
{'output': [['Color: gray', 'Type: Unknown'], ['Color: red', 'Type: sedan'], ['Color: gray', 'Type: van'], ['Color: gray', 'Type: sedan'], ['Color: Unknown', 'Type: suv']]}
write....
write end ... 18
19
{'output': [['Color: gray', 'Type: Unknown'], ['Color: red', 'Type: sedan'], ['Color: gray', 'Type: van'], ['Color: gray', 'Type: sedan'], ['Color: Unknown', 'Type: suv']]}
write....
write end ... 19
20
{'output': [['Color: gray', 'Type: Unknown'], ['Color: red', 'Type: sedan'], ['Color: gray', 'Type: van'], ['Color: gray', 'Type: sedan'], ['Color: Unknown', 'Type: suv']]}
write....