When training tensor-flow object detection api using the typical steps in google cloud VM. After configuring all the dependence, when i try to run the train.py script the error [ImportError: No module named 'tensorflow.python.eager'] poped up. I already trained using the same steps in my local PC without any errors. I couldn't find any solution related to this error.
System Info: gcloud VM; TensorFlow-GPU 1.3.0; Python 3.5; CUDA 8.0 /cuDNN 6.0:
script running command:
$ python3 train.py --logtostderr --train_dir=training/ --pipeline_config_path=ssd_mobilenet_v1_lap.config
Error:
Traceback (most recent call last): File "train.py", line 49, in
from object_detection import trainer File "/usr/local/lib/python3.5/dist-packages/object_detection-0.1-py3.5.egg/object_detection/trainer.py", line 33 , in
from deployment import model_deploy File "/home/ragulh28/project/models/research/slim/deployment/model_deploy.py",
line 106, in
from tensorflow.python.eager import context ImportError: No module named 'tensorflow.python.eager'
This issue is caused by a dependency on the new TF Eager API some of the newer models in slim use. They require the latest version of tensorflow, which is why the library is not being found.
Our apologies for the inconvenience. As a workaround, could you try checking out an older version of the Tensorflow Object Detection API? This commit should be a good candidate.
Related
I am recieving an OSerror (withouth any other text) from h5py when loading an h5 model created with keras- tensorflow after updating my enviroment, or working with an up-to-date environment.
I trained some models with keras and tf in the older versions, and also with keras-tf v1.15 and saved them using the model.save('filename.h5') code. Afterwards i am able to load them and work with them further using before the keras.load_model, and now tensorflow.keras.models.load_model without any problems but recieving some warnings that my tf version was not compiled to use the avx2 instructions and so.
The version installed is tensorflow 1.15 using pip install tensorflow-cpu and it seems to work well, my enviroment installed is Anaconda3-2020.02-Windows-x86_64 installed from the anaconda binaries on Windows.
After trying to change the packages to tensorflow-mkl, and needing to update my enviroment because of enviromental conflicts (shows even with the fresh install of anaconda) the OSerror raised by h5py appears.
Using the default enviromental packages from the anaconda binary with tf-cpu seems to work fine, either by cloning the environment. When updating the environment with conda update --all it raises the error either with tfc-cpu or tf-mkl.
The version of h5py in both cases is: '2.10.0' and the error is the following:
Traceback (most recent call last):
File "C:\Users\Oscar\bwSyncAndShare\OPT_PV22WP_intern\pv2wp_control\SIM\Sim_future.py", line 88, in <module>
model = load_model(pathfile_model)
File "C:\Users\Oscar\anaconda3\envs\optimizer2\lib\site-packages\tensorflow_core\python\keras\saving\save.py", line 142, in load_model
isinstance(filepath, h5py.File) or h5py.is_hdf5(filepath))):
File "C:\Users\Oscar\anaconda3\envs\optimizer2\lib\site-packages\h5py\_hl\base.py", line 44, in is_hdf5
return h5f.is_hdf5(filename_encode(fname))
File "h5py\_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py\_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "h5py\h5f.pyx", line 156, in h5py.h5f.is_hdf5
OSError
Have anyone had this problem?
I have tried training a model with the updated environment and saving
it, when loading i get the same error.
Updating to tf-cpu v2.3.1
with the base environment and loading works also.
Creating a new env, with conda create -n name python==3.7.x anaconda
and then installing tf, doesn´t work.
i think then some other library is making the problem, but i cannot figure out what is the problem.
I use hd5 instead of h5 as the extension,and solve the problem.
i can load my deep model in colab bu when i want load that model in pc i can't
getting up to speed on Anaconda, I keep receiving an error message when I try to import 'numpy' into Python.
Here is what I have done so far:
Downloaded anaconda from anaconda.com (64-Bit Graphical
Installer (466 MB) with Python 3.7 for Windows);
Installed anaconda (under C:\Users\'Username'\Anaconda3 | Option 'Register Anaconda3 as my default Python 3.7')
Now I'm trying to import numpy into Python using idle.exe, which produces following error message:
Warning: os.path.expanduser("~") points to
h:\,
but the path does not exist.
Futhermore, after executing "'import 'numpy;" in IDLE I get the following error message.
Unfortunately none of the advice was helpful. Numpy seems to be properly installed.
Warning (from warnings module): File "C:\Users\'Username'\Anaconda3\lib\site-
packages\numpy\__init__.py", line 140
from . import _distributor_init
UserWarning: mkl-service package failed to import, therefore Intel(R) MKL
initialization ensuring its correct out-of-the box operation under condition
when Gnu OpenMP had already been loaded by Python process is not assured.
Please install mkl-service package, see http://github.com/IntelPython/mkl-
service
Traceback (most recent call last):
File "C:\Users\'Username'\Anaconda3\lib\site-packages\numpy\core\__init__.py",
line 24, in <module>
from . import multiarray
File "C:\Users\'Username'\Anaconda3\lib\site-packages\numpy\core\multiarray.py",
line 14, in <module>
from . import overrides
File "C:\Users\'Username'\Anaconda3\lib\site-packages\numpy\core\overrides.py",
line 7, in <module>
from numpy.core._multiarray_umath import (
ImportError: DLL load failed: The specified module could not be found.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\'Username'\Anaconda3\Scripts\myscripts\import_test.py", line 1,
in <module>
import numpy
File "C:\Users\'Username'\Anaconda3\lib\site-packages\numpy\__init__.py", line
142, in <module>
from . import core
File "C:\Users\'Username'\Anaconda3\lib\site-packages\numpy\core\__init__.py",
line 54, in <module>
raise ImportError(msg)
ImportError:
IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!
Importing the numpy c-extensions failed.
- Try uninstalling and reinstalling numpy.
- If you have already done that, then:
1. Check that you expected to use Python3.7 from
"C:\Users\'Username'\Anaconda3\python.exe",
and that you have no directories in your PATH or PYTHONPATH that can
interfere with the Python and numpy version "1.18.1" you're trying to use.
2. If (1) looks fine, you can open a new issue at
https://github.com/numpy/numpy/issues. Please include details on:
- how you installed Python
- how you installed numpy
- your operating system
- whether or not you have multiple versions of Python installed
- if you built from source, your compiler versions and ideally a build log
- If you're working with a numpy git repository, try `git clean -xdf`
(removes all files not under version control) and rebuild numpy.
Note: this error has many possible causes, so please don't comment on
an existing issue about this - open a new one instead.
Original error was: DLL load failed: The specified module could not be found.
Many thanks in advance for any help and suggestions.
I am trying to run a python package that requires pytorch-gpu. I have change the runtime type of my Colab notebook to GPU. When I run the command, I am facing the following error. Not sure if I am able to build pytorch on colab myself?
Traceback (most recent call last):
File "inference_unet.py", line 9, in <module>
import torchvision.transforms as transforms
File "/usr/local/lib/python3.6/dist-packages/torchvision/__init__.py", line 10, in <module>
from .extension import _HAS_OPS
File "/usr/local/lib/python3.6/dist-packages/torchvision/extension.py", line 58, in <module>
_check_cuda_version()
File "/usr/local/lib/python3.6/dist-packages/torchvision/extension.py", line 54, in _check_cuda_version
.format(t_major, t_minor, tv_major, tv_minor))
RuntimeError: Detected that PyTorch and torchvision were compiled with different CUDA versions. PyTorch has CUDA Version=10.2 and torchvision has CUDA Version=10.1. Please reinstall the torchvision that matches your PyTorch install.
Now you can directly use pytorch-gpu on google colab, no need of installation.
Just change your runtime to gpu, import torch and torchvision and you are done.
I have attached screenshot doing just the same.
Hope the answer will find helpful.
But in case you want to install different version of pytorch or any other package then you can install using pip, just add ! before your pip command and run the cell.
for example,
I am trying to convert a saved_model from TensorFlow Object Detection Model Zoo to a tflite file. The model I am using is ssd_mobilenet_v2_oid_v4_2018_12_12.
So I used export_tflite_ssd_graph.py:
D:\TensorFlow\models\research\object_detection>python export_tflite_ssd_graph.py
--pipeline_config_path=D:\Models\ssd_mobilenet_v2_oid_v4_2018_12_12\pipeline.config
--trained_checkpoint_prefix=D:\Models\ssd_mobilenet_v2_oid_v4_2018_12_12\model.ckpt.data-00000-of-00001
--output_directory=D:\Models
--add_postprocessing_op=true
I get the following error
2020-01-20 19:43:36.765263: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found
2020-01-20 19:43:36.770058: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Traceback (most recent call last):
File "export_tflite_ssd_graph.py", line 96, in <module>
from object_detection import export_tflite_ssd_graph_lib
File "C:\Users\Bhavin\AppData\Local\Programs\Python\Python36\lib\site-packages\object_detection-0.1-py3.6.egg\object_detection\export_tflite_ssd_graph_lib.py", line 26, in <module>
from tensorflow.tools.graph_transforms import TransformGraph
ModuleNotFoundError: No module named 'tensorflow.tools.graph_transforms'
I tried upgrading tensorflow with pip but I still get the same error.
I am using Windows 10 and TensorFlow 2.1.0.
Facing same problem.
Ad hoc fix is downgrade to tf 1.15.0
I am using python 3.7
Recently I started getting this error while importing sklearn module.
I get the same error in Jupyter Notebook, Python IDLE, Pycharm virtual environment
>>> import sklearn
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Users\aditya\AppData\Roaming\Python\Python37\site-packages\sklearn\__init__.py", line 75, in <module>
from .utils._show_versions import show_versions
File "C:\Users\aditya\AppData\Roaming\Python\Python37\site-packages\sklearn\utils\_show_versions.py", line 12, in <module>
from ._openmp_helpers import _openmp_parallelism_enabled
ImportError: DLL load failed: The specified module could not be found.
I have tried reinstalling too.
After that I copied contents of sklearn of venv of another project which had no issues. This thing worked for couple of times. But now it's not working again
Note: pandas, numpy, scipy etc are installed and working absolutely fine. Sklearn was also working fine few days back
This is an issue in the packaging in scikit-learn 0.22.0 which will be solved in 0.22.1 (released next week). The issue is tracked at: github.com/scikit-learn/scikit-learn/issues/15899. There are 2 possible workarounds:
Install scikit-learn from conda-forge (conda include the missing dll) by default: conda install conda-forge::scikit-learn
Install VC++ which will have the openmp library (https://support.microsoft.com/en-us/help/2977003/the-latest-supported-visual-c-downloads)