Question about the V2V4Real dataset

[CSwakeQAQ]

Thank u for such great contribution! I have downloaded the V2V4Real dataset from the official website, but after I unpacked it, I found that some parameters in the yaml file did not display properly.I tried to load these yaml files as dict, but failed.I wondered whether I had chosen the wrong encoding method?Or is the dataset yaml file encrypted? `ego_speed: 0 gps:

• !!python/object/apply:numpy.core.multiarray.scalar
  • &id001 !!python/object/apply:numpy.dtype args:
  • f8
  • false
  • true state: !!python/tuple
  • 3
  • <
  • null
  • null
  • null
  • -1
  • -1
  • 0
  • !!binary | dIGJR/v8Q0A=
• !!python/object/apply:numpy.core.multiarray.scalar
  • *id001
  • !!binary | jh8Jfy/BVMA=
• !!python/object/apply:numpy.core.multiarray.scalar
  • *id001
  • !!binary | 5QmEnWKQbEA=
• !!python/object/apply:numpy.core.multiarray.scalar
  • *id001
  • !!binary | HQQY9LDgAkA=
• !!python/object/apply:numpy.core.multiarray.scalar
  • *id001
  • !!binary | 1bgF4CXuab8=
• !!python/object/apply:numpy.core.multiarray.scalar
  • *id001
  • !!binary | 29r2H6qipL8= lidar_pose: &id002 !!python/object/apply:numpy.core.multiarray._reconstruct args:
  • !!python/name:numpy.ndarray ''
  • !!python/tuple
  • 0
  • !!binary | Yg== state: !!python/tuple
  • 1
  • !!python/tuple
  • 4
  • 4
  • *id001
  • false
  • !!binary | Tnrf+Nqz5b96jzNN2H7nv8mrcwzIXp+/TDeJQWBohcAQ7PgvEITnP+pA1lOrr+W/C0hW2dL+mr/y 0k1iEGxpQAJ1Vk0IBFe/+pQI+UWupL9tA3egTvnvP4eiQJ/IExxAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAA8D8= true_ego_pos: *id002 vehicles: 7: angle:
  • 0.0
  • 27.056938836177025
  • 0.0 ass_id: -1 center:
  • 0
  • 0
  • 0 extent:
  • 2.0354528287399662
  • 1.0361092723488456
  • 0.8501376623636069 location:
  • 53.36773910970518
  • 12.212414634296548
  • -1.45655303837862 obj_type: Car `

[DerrickXuNu]

Hi, I used pyyaml to save the annotation. When you use the pyyaml to save numpy array, it will show things like this. Please check opencood.hypes_yaml.yaml_utill.load_yaml to see how to load the annotation properlt