binary incompatibility in compute_overlap

[stvogel]

I wanted to run retinanet inside a docker. Therefore I installed keras-retinanet with pip install (version 1.0.0). But importing keras_retinanet yields this error:

  File "/opt/conda/lib/python3.8/site-packages/keras_retinanet/models/__init__.py", line 87, in load_model
    return keras.models.load_model(filepath, custom_objects=backbone(backbone_name).custom_objects)
  File "/opt/conda/lib/python3.8/site-packages/keras_retinanet/models/__init__.py", line 57, in backbone
    from .resnet import ResNetBackbone as b
  File "/opt/conda/lib/python3.8/site-packages/keras_retinanet/models/resnet.py", line 21, in <module>
    from . import retinanet
  File "/opt/conda/lib/python3.8/site-packages/keras_retinanet/models/retinanet.py", line 19, in <module>
    from .. import layers
  File "/opt/conda/lib/python3.8/site-packages/keras_retinanet/layers/__init__.py", line 1, in <module>
    from ._misc import RegressBoxes, UpsampleLike, Anchors, ClipBoxes  # noqa: F401
  File "/opt/conda/lib/python3.8/site-packages/keras_retinanet/layers/_misc.py", line 20, in <module>
    from ..utils import anchors as utils_anchors
  File "/opt/conda/lib/python3.8/site-packages/keras_retinanet/utils/anchors.py", line 20, in <module>
    from ..utils.compute_overlap import compute_overlap
  File "keras_retinanet/utils/compute_overlap.pyx", line 1, in init keras_retinanet.utils.compute_overlap
ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject

I installed numpy 1.18.5, but also tried with other numpy-versions < 1.19 (I'm using tensorflow 2.3.0 and keras 2.4.3). I see there is the compute_overlap.cpython-38-x86_64-linux-gnu.so installed (by the way, I also tried python 37 with the same error) and this does somehow not fit my environment.

Which incompatibility do I have to solve?

[Nitschi]

I have the same issue. My installed packages are the following:

absl-py==0.14.1
astunparse==1.6.3
cachetools==4.2.4                                                                                                                 
certifi==2020.6.20
charset-normalizer==2.0.6
Cython==0.29.24
gast==0.3.3
google-auth==1.35.0
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
grpcio==1.41.0
h5py==2.10.0
idna==3.2
Keras==2.4.3
Keras-Preprocessing==1.1.2
keras-resnet==0.2.0
keras-retinanet==1.0.0
Markdown==3.3.4
numpy==1.18.5
oauthlib==3.1.1
opencv-python==4.5.3.56
opt-einsum==3.3.0
Pillow==8.3.2
progressbar2==3.53.3
protobuf==3.18.0
pyasn1==0.4.8
pyasn1-modules==0.2.8
python-utils==2.5.6
PyYAML==5.4.1
requests==2.26.0
requests-oauthlib==1.3.0
rsa==4.7.2
scipy==1.7.1
six==1.16.0
tensorboard==2.6.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.0
tensorflow==2.3.1
tensorflow-estimator==2.3.0
termcolor==1.1.0
urllib3==1.26.7
Werkzeug==2.0.1
wrapt==1.13.1

[stale[bot]]

This issue has been automatically marked as stale due to the lack of recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

[satpalsr]

Solved with numpy upgrade