ValueError: setting an array element with a sequence.

[shfunc]

Error after python run/train_3d.py --cfg configs/shelf/prn64_cpn80x80x20.yaml

=> load /media/user/LaCie/DataSet/voxel-data/data/Shelf/pred_shelf_maskrcnn_hrnet_coco.pkl
Traceback (most recent call last):
  File "run/train_3d.py", line 160, in <module>
    main()
  File "run/train_3d.py", line 87, in main
    test_dataset = eval('dataset.' + config.DATASET.TEST_DATASET)(
  File "/home/user/voxelpose-pytorch/run/../lib/dataset/shelf.py", line 70, in __init__
    self.db = self._get_db()
  File "/home/user/voxelpose-pytorch/run/../lib/dataset/shelf.py", line 92, in _get_db
    actor_3d = np.array(np.array(data['actor3D'].tolist()).tolist()).squeeze()  # num_person * num_frame
ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 4 dimensions. The detected shape was (1, 4, 3200, 1) + inhomogeneous part.

My pip list :

pip list
Package Version Editable project location

---

addict 2.4.0
aliyun-python-sdk-core 2.13.36
aliyun-python-sdk-kms 2.16.1
attrs 23.1.0
brotlipy 0.7.0
certifi 2023.7.22
cffi 1.15.1
charset-normalizer 2.1.1
chumpy 0.70
click 8.1.7
colorama 0.4.6
contourpy 1.1.0
coverage 7.3.0
crcmod 1.7
cryptography 38.0.3
cycler 0.11.0
Cython 3.0.2
easydict 1.10
exceptiongroup 1.1.3
filelock 3.12.3
flake8 6.1.0
fonttools 4.42.1
idna 3.4
importlib-metadata 6.8.0
importlib-resources 6.0.1
iniconfig 2.0.0
interrogate 1.5.0
isort 4.3.21
Jinja2 3.1.2
jmespath 0.10.0
json-tricks 3.17.3
kiwisolver 1.4.5
Markdown 3.4.4
markdown-it-py 3.0.0
MarkupSafe 2.1.3
matplotlib 3.7.2
mccabe 0.7.0
mdurl 0.1.2
mmcv 2.0.0rc4
mmdet 3.1.0
mmengine 0.8.4
mmpose 1.1.0 /home/user/mmpose
model-index 0.1.11
mpmath 1.3.0
munkres 1.1.4
networkx 3.1
numpy 1.24.4
opencv-python 4.8.0.76
opendatalab 0.0.10
openmim 0.3.9
openxlab 0.0.23
ordered-set 4.1.0
oss2 2.17.0
packaging 23.1
pandas 2.0.3
parameterized 0.9.0
pbr 5.11.1
Pillow 9.2.0
pip 23.2.1
platformdirs 3.10.0
pluggy 1.3.0
protobuf 4.24.2
py 1.11.0
pycocotools 2.0.7
pycodestyle 2.11.0
pycparser 2.21
pycryptodome 3.18.0
pyflakes 3.1.0
Pygments 2.16.1
pyOpenSSL 22.1.0
pyparsing 3.0.9
PySocks 1.7.1
pytest 7.4.1
pytest-runner 6.0.0
python-dateutil 2.8.2
pytz 2023.3.post1
PyYAML 6.0.1
requests 2.28.2
rich 13.4.2
scipy 1.10.1
setuptools 68.1.2
shapely 2.0.1
six 1.16.0
sympy 1.12
tabulate 0.9.0
tensorboardX 2.6.2.2
termcolor 2.3.0
terminaltables 3.1.10
testresources 2.0.1
toml 0.10.2
tomli 2.0.1
torch 1.11.0
torchvision 0.12.0a0+9b5a3fe
tqdm 4.65.2
typing_extensions 4.7.1
tzdata 2023.3
urllib3 1.26.11
wheel 0.38.4
xdoctest 1.1.1
xtcocotools 1.14
yapf 0.40.1
zipp 3.16.2

Machine: Jetson Orin AGX

[atonalfreerider]

Changing the code to this allowed me to get past this error:

actor_3d = data['actor3D']
processed_actor_3d = [np.array(person_data) for person_data in actor_3d]
actor_3d = np.array(processed_actor_3d).squeeze()  # num_person * num_frame

Still getting other array issues with r2 and einsum

[shfunc]

At least thanks for this)

[aviralchharia]

Hi, were you able to fix this issue? the einsum

[n26092043]

Try

actor_3d = np.array(np.array(data['actor3D'].tolist()).tolist(), dtype=object).squeeze()