I'm facing the above error when I try to execute the following code:
from secrets import IEX_CLOUD_API_TOKEN
I tried using '.secrets' instead of 'secrets' but that gives the ModuleNotFoundError.
It's not a problem with the secrets library or anything of such kind.
It's just that after uploading secrets.py to the working directory, restart the kernel in your jupyter notebook.
Code shall run !!
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from mediapipe.python._framework_bindings import resource_util
ImportError: DLL load failed while importing _framework_bindings: The specified module could not be found.
Top Solution!
Type in your terminal pip install msvc-runtime it will work fine.
If you want to know more about mediapipe visit:
https://google.github.io/mediapipe/
Thanks.
I installed OpenAI Gym and attempted to run the getting-started cart-pole demo (https://gym.openai.com/docs/). (I'm running in a Colab notebook.)
import gym
env = gym.make('CartPole-v0')
env.reset()
for _ in range(1000):
env.render()
env.step(env.action_space.sample()) # take a random action
This doesn't learn, but it should display the cart and pole.
When I run it I get a warning and an error.
WARN: gym.spaces.Box autodetected dtype as <class 'numpy.float32'>. Please provide explicit dtype.
The error is triggered by env.render(). At the bottom of the Traceback is
Error occured while running `from pyglet.gl import *`
The original exception was:
ImportError: Library "GL" not found.
I had installed pyOpenGL with the following.
!pip install PyOpenGL PyOpenGL_accelerate
I'd appreciate help with both the warning and the error. Is there another GL library I should install?
Thanks.
Google Colab is run in the cloud. It can't send the graphic display back to your monitor.
You can try running it with local runtime.
https://research.google.com/colaboratory/local-runtimes.html
Do you get this window?
If yes then try to add this import:
import time
and this line of Code within the for-loop:
time.sleep(0.3)
Thing is that the pole runs out of view rather quick, so it seems like
the Environment did not run at all.
I installed the object detection API correctly using this https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/installation.md and I checked by running model_builder_test.py
This gave me a OK result.
Then I moved on to running the train.py on my dataset using the following command
python train.py --logtostderr --pipeline_config_path=pipeline.config --train_dir=train_file
And I am getting the error ImportError: cannot import name 'preprocessor_pb2'
This particular preprocessor_pb2.py exists in the path it is looking for i.e
C:\Users\SP-TestMc\Anaconda3\envs\tensorflow\models-master\models-master\research\object_detection\protos
What could be the reason for this error then?
See https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/installation.md#protobuf-compilation. Sounds like you need to compile the protos before using the Python scripts.
I tried to code on Pycharm, but when I use from keras import backend as K it throws an import error like "cannot import name backend". But I can do it on terminal.
How can I fix this?
error
on terminal
Are you sure your PyCharm sees the same Python environment as what you are using in Terminal?
See if this possibly works for you:
use tensorflow on pyCharm
I got the same problem:
Check here:Pycharm cannot find installed packages: keras
After adding new package to project interpreter, you need to quit Pycharm and restart it again.
Use
from tensorflow.python.keras import backend as K
instead.
When I am trying to import the following module,
>>> from lstm_predictor import lstm_model
The error says no module named lstm_predictor.
How can I solve the problem?
It seems like you are utilizing the lstm_predictor package present in https://github.com/tgjeon/TensorFlow-Tutorials-for-Time-Series.
Since this is not a standard module, make sure you have cloned this project and you have the lstm_predictor.py file in the same folder as your python terminal.