'Error "Numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject."
I got this error file while following this tutorial: https://www.youtube.com/watch?v=yqkISICHH-U
So far I have created a training dataset to feed into Tensorflow. I am using transfer learning on one of the pre-trained TensorFlow object recognition models. I get the error when I attempt to train the model with my new dataset. This is a picture of the full error message that shows up.
I attempted to solve the problem by trying the following:
- Reinstalling Numpy
- Installing Numpy 1.20.x
- Installing Numpy 1.18.x
- Reinstalling pycocotools
When I installed Numpy 1.20.x the error went away and was replaced with a separate error: notimplementederror: cannot convert a symbolic Tensor (cond_2/strided:0) to a numpy array. This seemed to be a compatibility issue between Tensorflow and Numpy 1.20.x. When debugging this error, I found that everyone solved it by downgrading their Numpy to 1.19.x. However, in my case I am still left with the first error.
I am using python 3.8.9 with anaconda. Here are the packages I have installed: https://pastebin.com/BNW8tU2A
(tfod) (base) C:\Users\piper\python\Tensorflow\TFODCourse>pip list
Package Version Location
----------------------- ------------------- ---------------------------------------------------------------------------
absl-py 0.13.0
astunparse 1.6.3
backcall 0.2.0
cachetools 4.2.2
certifi 2021.5.30
charset-normalizer 2.0.3
colorama 0.4.4
cycler 0.10.0
Cython 0.29.24
debugpy 1.3.0
decorator 5.0.9
flatbuffers 1.12
gast 0.4.0
gin-config 0.4.0
google-auth 1.33.1
google-auth-oauthlib 0.4.4
google-cloud-bigquery 1.21.0
google-pasta 0.2.0
grpcio 1.34.1
h5py 3.1.0
idna 3.2
ipykernel 6.0.3
ipython 7.25.0
ipython-genutils 0.2.0
jedi 0.18.0
jupyter-client 6.1.12
jupyter-core 4.7.1
keras-nightly 2.5.0.dev2021032900
Keras-Preprocessing 1.1.2
kiwisolver 1.3.1
lvis 0.5.3
lxml 4.6.3
Markdown 3.3.4
matplotlib 3.2.0
matplotlib-inline 0.1.2
numpy 1.19.5
oauthlib 3.1.1
object-detection 0.1
opencv-python 4.5.3.56
opt-einsum 3.3.0
pandas 1.3.0
parso 0.8.2
pickleshare 0.7.5
Pillow 8.3.1
pip 21.1.3
prompt-toolkit 3.0.19
protobuf 3.17.3
pyasn1 0.4.8
pyasn1-modules 0.2.8
pycocotools 2.0.2
Pygments 2.9.0
pyparsing 2.4.7
PyQt5 5.15.4
PyQt5-Qt5 5.15.2
PyQt5-sip 12.9.0
python-dateutil 2.8.2
pytz 2021.1
pywin32 225
PyYAML 5.4.1
pyzmq 22.1.0
requests 2.26.0
requests-oauthlib 1.3.0
rsa 4.7.2
scipy 1.7.0
setuptools 49.2.1
six 1.15.0
slim 0.1 c:\users\piper\python\tensorflow\tfodcourse\tensorflow\models\research\slim
tensorboard 2.5.0
tensorboard-data-server 0.6.1
tensorboard-plugin-wit 1.8.0
tensorflow 2.5.0
tensorflow-addons 0.13.0
tensorflow-estimator 2.5.0
tensorflow-gpu 2.5.0
termcolor 1.1.0
tf-models-official 2.5.0
tf-slim 1.1.0
tornado 6.1
traitlets 5.0.5
typeguard 2.12.1
typing-extensions 3.7.4.3
urllib3 1.26.6
wcwidth 0.2.5
Werkzeug 2.0.1
wget 3.2
wheel 0.36.2
wrapt 1.12.1
Any help would be appreciated!
So I solved the issue by reinstalling pycocotools with the --no-cache-dir flag. So I did:
pip uninstall pycocotools
pip install --no-cache-dir pycocotools
This completely solved the issue.
Solution 1:[1]
I had the same problem with python3.6 in a virtual environment.
Reinstalling with the --no-cache-dir flag didn't solve the problem.
I solved the problem by starting from fresh in a virtual environment with python3.7
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Yonatan Simson |