I try to import the deep_srort module in my colab. But it shows me the following:
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-9-b784ee656306> in <module>()
----> 1 from deep_sort import preprocessing
2 from deep_sort import nn_matching
3 from deep_sort.detection import Detection
4 from deep_sort.tracker import Tracker
5 from tools import generate_detections as gdet
ModuleNotFoundError: No module named 'deep_sort'
Cloning the repo and installing the requirements solved the problem for me:
!git clone https://github.com/theAIGuysCode/yolov4-deepsort
%cd yolov4-deepsort/
!pip install -r requirements-gpu.txt
Related
Below the code
import numpy as np
np.random.seed(0)
from sklearn import datasets
import matplotlib.pyplot as plt
%matplotlib inline
%config InlineBackend.figure_format ='retina'
from keras.models import Sequential
from keras.layers import Dense
from keras.optimizers import SGD
below the Error message
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
~\Anaconda3\lib\site-packages\keras\__init__.py in <module>
2 try:
----> 3 from tensorflow.keras.layers.experimental.preprocessing import RandomRotation
4 except ImportError:
ModuleNotFoundError: No module named 'tensorflow.keras.layers.experimental.preprocessing'
During handling of the above exception, another exception occurred:
ImportError Traceback (most recent call last)
<ipython-input-5-943507dd87a6> in <module>
6 get_ipython().run_line_magic('config', "InlineBackend.figure_format ='retina'")
7
----> 8 from keras.models import Sequential
9 from keras.layers import Dense
10 from keras.optimizers import SGD
~\Anaconda3\lib\site-packages\keras\__init__.py in <module>
4 except ImportError:
5 raise ImportError(
----> 6 'Keras requires TensorFlow 2.2 or higher. '
7 'Install TensorFlow via `pip install tensorflow`')
8
ImportError: Keras requires TensorFlow 2.2 or higher. Install TensorFlow via `pip install tensorflow
Note:` I think, the main problem is Tensorflow version. I used somes command and that's are bellow,
conda create -n tf tensorflow
conda activate tf
and I also used the below command
conda create -n tf-gpu tensorflow-gpu
conda activate tf-gpu
But it don't works , Please help for solve the error.
you need to update the version of your TensorFlow. For me, 2.2.0 solved the problem. I also checked with the higher versions and worked ok.
pip install tensorflow==2.2.0
or
pip install tensorflow-gpu==2.2.0
You need update TensorFlow. You can try with
pip install tensorflow==2.0.0
or, if you use gpu version
pip install tensorflow-gpu==2.0.0
If doesn't solve your issue, you can also try with 2.2.0 version.
For more details, in this issue follow this answer
I cannot use edward package on google cola.
I have the below error:
ModuleNotFoundError Traceback (most recent call last)
in ()
----> 1 import edward
4 frames
/usr/local/lib/python3.6/dist-packages/edward/models/dirichlet_process.py in ()
6
7 from edward.models.random_variable import RandomVariable
----> 8 from tensorflow.contrib.distributions import Distribution
9
10 try:
ModuleNotFoundError: No module named 'tensorflow.contrib'
NOTE: If your import is failing due to a missing package, you can
manually install dependencies using either !pip or !apt.
To view examples of installing some common dependencies, click the
"Open Examples" button below.
Uninstalling current/latest version of tensorflow and installing version 1.14 resolved it for me. Looks like they removed tensorflow.contrib from tensorflow version >1.14.
!pip uninstall tensorflow
!pip install tensorflow==1.14
I would like to add model analysis to my model but was unable to import the libraries:
I am using datalab environment.
import tensorflow as tf
!pip install tensorflow_model_analysis
import tensorflow_model_analysis as tfma
The error is:
ImportErrorTraceback (most recent call last)
<ipython-input-6-f85e4d8fbd99> in <module>()
----> 1 import tensorflow_model_analysis as tfma
/usr/local/envs/py2env/lib/python2.7/site-packages/tensorflow_model_analysis/__init__.py in <module>()
15
16
---> 17 from tensorflow_model_analysis import view
18 from tensorflow_model_analysis.api import tfma_unit as test
19 from tensorflow_model_analysis.api.model_eval_lib import * # pylint: disable=wildcard-import
ImportError: cannot import name view
Please advice what will be the right way to import the library.
Thanks,
eilalan
Working for me now with the following installation:
python 2.7 - to support apache beam
pip install pip==9.0.3 # I am not sure what is the reason, but essential for apache beam pipelines execution
pip install --upgrade tensorflow
pip install tensorflow-model-analysis
import tensorflow_model_analysis as tfma
I'm running the official TF docker repo using the Jupyter UI on localhost. It seems that TF is working in general, as I am able to import it, but when trying to import the distributions module I get an error:
print tf.__version__
import tf.distributions as dist
1.8.0
ImportErrorTraceback (most recent call last)
<ipython-input-3-4d440943cb46> in <module>()
1 print tf.__version__
----> 2 import tf.distributions as dist
ImportError: No module named tf.distributions
Try this
import tensorflow as tf
from tensorflow import distributions as dist
I don't think you can use import aliases for other import statements in python. I'm not too sure about this, but I think that's the problem.
FYI, I tested this on Python 3.5.2 and Tensorflow 1.8.0
Getting a weird import error when running the following code.
! pip install --user --upgrade git+https://github.com/broadinstitute/keras-resnet
import keras
import keras_resnet
Basically, I'm trying to install keras_resnet for keras_retinanet on Google colab however I'm getting a not found error. Output is below. The installation completes but then the import fails. Tested it locally and it works only fails on Google Colaboratory.
Running setup.py install for keras-resnet ... - \ done
Successfully installed keras-resnet-0.0.8
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-25-4521fd3221d7> in <module>()
2 #os.chdir('keras-retinanet')
3 import keras
----> 4 import keras_resnet
5 #from keras-retinanet.keras_retinanet.models.resnet import custom_objects
6 #model = keras.models.load_model('/path/to/model.h5', custom_objects=custom_objects)
ModuleNotFoundError: No module named 'keras_resnet'
Try dropping the --user? This worked for me:
!pip install --upgrade git+https://github.com/broadinstitute/keras-resnet
import keras
import keras_resnet