处理长视频（时间超过2秒）时没有效果

[moonlightnoodles]

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车牌识别模型识别超过两秒钟的视频时出现如下情况，并且返回一个损坏的视频文件
PLEASE USE OMP_NUM_THREADS WISELY.
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: false
model_dir: https://bj.bcebos.com/v1/paddledet/models/pipeline/mot_ppyoloe_l_36e_ppvehicle.zip
skip_frame_num: -1
tracker_config: deploy/pipeline/config/tracker_config.yml
VEHICLE_ATTR:
batch_size: 8
color_threshold: 0.5
enable: false
model_dir: https://bj.bcebos.com/v1/paddledet/models/pipeline/vehicle_attribute_model.zip
type_threshold: 0.5
VEHICLE_PLATE:
det_limit_side_len: 736
det_limit_type: min
det_model_dir: https://bj.bcebos.com/v1/paddledet/models/pipeline/ch_PP-OCRv3_det_infer.tar.gz
enable: false
rec_batch_num: 6
rec_image_shape:

• 3
• 48
• 320
  rec_model_dir: https://bj.bcebos.com/v1/paddledet/models/pipeline/ch_PP-OCRv3_rec_infer.tar.gz
  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

---

DET model dir: /root/.cache/paddle/infer_weights/mot_ppyoloe_l_36e_ppvehicle
mot_model_dir model_dir: /root/.cache/paddle/infer_weights/mot_ppyoloe_l_36e_ppvehicle
LANE_SEG model dir: /root/.cache/paddle/infer_weights/pp_lite_stdc2_bdd100k
video fps: 12, frame_count: 983
save result to output/special_car2.mp4
------------------ Inference Time Info ----------------------
total_time(ms): 0.0, img_num: 0
average latency time(ms): 0.00, QPS: 0.000000

并且命令不会中止，会一直卡在这一行

[liuhongen1234567]

您好，可以提供一下复现命令吗？我们这边排查一下

[moonlightnoodles]

您好，可以提供一下复现命令吗？我们这边排查一下

其实就是您文档中的命令

#预测单个视频文件
python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_ppvehicle.yml \
                                                   --video_file=test_video.mp4 \
                                                   --device=gpu

[moonlightnoodles]

您好，可以提供一下复现命令吗？我们这边排查一下

其实就是您文档中的命令

#预测单个视频文件
python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_ppvehicle.yml \
                                                   --video_file=test_video.mp4 \
                                                   --device=gpu

paddlepaddle版本号：2.6.2