I am trying to run the following github project:
https://github.com/jeffgreenca/laughr
I can run the command: pipenv run python laughr.py --help
but when I ask to mute a laugh from an audio file I get the following error:
Traceback (most recent call last):
File "laughr.py", line 292, in <module>
model=localModel)
File "laughr.py", line 202, in do_mute_laughs
laughr.remove_laughs(sourceFile, outFile)
File "laughr.py", line 147, in remove_laughs
rc.laughs = self.model.predict(rc.build_features())
File "laughr.py", line 73, in build_features
self.raw = self.y.T[0][i * chunkLen:(i + 1) * chunkLen]
IndexError: invalid index to scalar variable.
I think it may be a wrong version of the tensorflow or keras that I am using, but I have no idea which one is right. thanks for listening.
Related
Silly question, but I'm new to Python and Google Cloud. I'm trying to predict customer-lifetime-value with google cloud automl_v1beta1, the code is here
from google.cloud.automl_v1beta1 import AutoMlClient, PredictionServiceClient
from google.cloud_v1beta1 import automl
client = AutoMlClient.from_service_account_file(keyfile_name)
location_path = f"projects/{project_id}/locations/us-central1"
dataset_display_name = automl_dataset
# create dataset
create_dataset_response = client.create_dataset(
parent=location_path,
dataset={'display_name': dataset_display_name, 'tables_dataset_metadata': {}})
and I received the following errors:
\
Traceback (most recent call last):
File "/home/tensorflow-lifetime-value/clv_automl/test1.py", line 220, in <module>
main()
File "/home/tensorflow-lifetime-value/clv_automl/test1.py", line 193, in main
model_name = create_automl_model(client,
File "/home/tensorflow-lifetime-value/clv_automl/test1.py", line 48, in
create_automl_model
create_dataset_response = client.create_dataset(
File "/home/.local/lib/python3.9/site-packages/google/cloud/automl_v1/services/auto_ml/client.py", line 623, in create_dataset
request.dataset = dataset
File "/usr/local/lib/python3.9/dist-packages/proto/message.py", line 757, in __setattr__
pb_value = marshal.to_proto(pb_type, value)
File "/usr/local/lib/python3.9/dist-packages/proto/marshal/marshal.py", line 211, in to_proto
pb_value = rule.to_proto(value)
File "/usr/local/lib/python3.9/dist-packages/proto/marshal/rules/message.py", line 36, in to_proto
return self._descriptor(**value)
ValueError: Protocol message Dataset has no "tables_dataset_metadata" field.
I got the same error using your code when I used google-cloud-automl<=0.1.2. Your error will be fixed if you use google-cloud-automl>=0.1.2. But I suggest to always install the latest version by doing pip install --upgrade google-cloud-automl to maximize the latest updates from Google Cloud.
Im trying to install the gym atari package on version 0.9.5 (I specifically need this version), but when I run the code (which is supposed to be running smoothly if gym is properly downloaded), I get the following error:
AttributeError: 'AtariEnv' object has no attribute 'viewer'
The problem occurred when I tried to run gym.make().
Does anyone know how to fix this?
The same behavior happened to me with python 3.9, but for some reason not on python 3.8 (there was a different error there). Maybe Im missing some rendering library?
The full error message is:
[2021-05-22 02:17:05,405] Making new env: PongNoFrameskip-v4
C:\Users\1\PycharmProjects\University Homework\venv37\lib\site-packages\gym\envs\registration.py:17: PkgResourcesDeprecationWarning: Parameters to load are deprecated. Call .resolve and .require separately.
result = entry_point.load(False)
Traceback (most recent call last):
File "C:/Users/1/PycharmProjects/University Homework/Reinforcement Learning/dqn/main.py", line 61, in <module>
env = get_env(task, seed)
File "C:\Users\1\PycharmProjects\University Homework\Reinforcement Learning\dqn\utils\gym.py", line 13, in get_env
env = gym.make(env_id)
File "C:\Users\1\PycharmProjects\University Homework\venv37\lib\site-packages\gym\envs\registration.py", line 164, in make
return registry.make(id)
File "C:\Users\1\PycharmProjects\University Homework\venv37\lib\site-packages\gym\envs\registration.py", line 122, in make
env = spec.make()
File "C:\Users\1\PycharmProjects\University Homework\venv37\lib\site-packages\gym\envs\registration.py", line 89, in make
env = cls(**self._kwargs)
File "C:\Users\1\PycharmProjects\University Homework\venv37\lib\site-packages\gym\envs\atari\atari_env.py", line 32, in __init__
self.game_path = atari_py.get_game_path(game)
File "C:\Users\1\PycharmProjects\University Homework\venv37\lib\site-packages\atari_py\games.py", line 20, in get_game_path
raise Exception('ROM is missing for %s, see https://github.com/openai/atari-py#roms for instructions' % (game_name,))
Exception: ROM is missing for pong, see https://github.com/openai/atari-py#roms for instructions
Error in atexit._run_exitfuncs:
Traceback (most recent call last):
File "C:\Users\1\PycharmProjects\University Homework\venv37\lib\site-packages\gym\utils\closer.py", line 67, in close
closeable.close()
File "C:\Users\1\PycharmProjects\University Homework\venv37\lib\site-packages\gym\core.py", line 164, in close
self.render(close=True)
File "C:\Users\1\PycharmProjects\University Homework\venv37\lib\site-packages\gym\core.py", line 150, in render
return self._render(mode=mode, close=close)
File "C:\Users\1\PycharmProjects\University Homework\venv37\lib\site-packages\gym\envs\atari\atari_env.py", line 109, in _render
if self.viewer is not None:
AttributeError: 'AtariEnv' object has no attribute 'viewer'
Exception ignored in: <function Env.__del__ at 0x00000203EE2174C8>
Traceback (most recent call last):
File "C:\Users\1\PycharmProjects\University Homework\venv37\lib\site-packages\gym\core.py", line 203, in __del__
self.close()
File "C:\Users\1\PycharmProjects\University Homework\venv37\lib\site-packages\gym\core.py", line 164, in close
self.render(close=True)
File "C:\Users\1\PycharmProjects\University Homework\venv37\lib\site-packages\gym\core.py", line 150, in render
return self._render(mode=mode, close=close)
File "C:\Users\1\PycharmProjects\University Homework\venv37\lib\site-packages\gym\envs\atari\atari_env.py", line 109, in _render
if self.viewer is not None:
AttributeError: 'AtariEnv' object has no attribute 'viewer'
Also, the relevant code:
if __name__ == '__main__':
# Get Atari games.
benchmark = gym.benchmark_spec('Atari40M')
# Change the index to select a different game.
task = benchmark.tasks[3]
# Run training
seed = 0 # Use a seed of zero (you may want to randomize the seed!)
env = get_env(task, seed)
And get_env is:
def get_env(task, seed):
env_id = task.env_id
env = gym.make(env_id)
set_global_seeds(seed)
env.seed(seed)
expt_dir = 'tmp/gym-results'
env = wrappers.Monitor(env, expt_dir, force=True)
env = wrap_deepmind(env)
return env
The error looks like the Atari ROM for pong is not found. This is probably due to the fact that gym no longer installs ROMs automatically, due to licensing issues.
But there's an easy workaround now:
pip install -U gym
pip install -U gym[atari,accept-rom-license]
The accept-rom-license option installs a package called autorom which provides the AutoROM command, and runs it automatically with the --accept-rom-license option.
Then everything just works normally.
Details:
If you run AutoROM without the --accept-license option, this is what you get, so be warned:
AutoROM will download the Atari 2600 ROMs.
They will be installed to:
[...]/site-packages/AutoROM/roms
Existing ROMs will be overwritten.
I own a license to these Atari 2600 ROMs.
I agree to not distribute these ROMs and wish to proceed: [Y/n]:
Run AutoROM --help for more options.
So I'm following sentdex's object detection tutorial and I have gotten to the step where you are supposed to export the inference graph. I'm using the "export_inference_graph.py" script from Tensorflow's object_detection folder.
The problem is that I'm getting this ValueError:
Traceback (most recent call last):
File "C:\Users\Zelcore-Dator\AppData\Local\Programs\Python\Python35\lib\site-packages\google\proto
buf\internal\python_message.py", line 545, in _GetFieldByName
return message_descriptor.fields_by_name[field_name]
KeyError: 'layout_optimizer'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "export_inference_graph.py", line 119, in <module>
tf.app.run()
File "C:\Users\Zelcore-Dator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\p
ython\platform\app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "export_inference_graph.py", line 115, in main
FLAGS.output_directory, input_shape)
File "C:\Users\Zelcore-Dator\AppData\Local\Programs\Python\Python35\lib\site-packages\object_detec
tion-0.1-py3.5.egg\object_detection\exporter.py", line 427, in export_inference_graph
input_shape, optimize_graph, output_collection_name)
File "C:\Users\Zelcore-Dator\AppData\Local\Programs\Python\Python35\lib\site-packages\object_detec
tion-0.1-py3.5.egg\object_detection\exporter.py", line 391, in _export_inference_graph
initializer_nodes='')
File "C:\Users\Zelcore-Dator\AppData\Local\Programs\Python\Python35\lib\site-packages\object_detec
tion-0.1-py3.5.egg\object_detection\exporter.py", line 72, in freeze_graph_with_def_protos
layout_optimizer=rewriter_config_pb2.RewriterConfig.ON)
File "C:\Users\Zelcore-Dator\AppData\Local\Programs\Python\Python35\lib\site-packages\google\proto
buf\internal\python_message.py", line 484, in init
field = _GetFieldByName(message_descriptor, field_name)
File "C:\Users\Zelcore-Dator\AppData\Local\Programs\Python\Python35\lib\site-packages\google\proto
buf\internal\python_message.py", line 548, in _GetFieldByName
(message_descriptor.name, field_name))
ValueError: Protocol message RewriterConfig has no "layout_optimizer" field.
I'm guessing that it has something to do with protobuf, but I've reinstalled it several times already with no success.
All help appreciated
Happened to me too. Didn't happen few weeks ago.
Until the bug is fixed, you could use an earlier version that still works.
replace line 72 in 'object_detection/exporter.py':
layout_optimizer=rewriter_config_pb2.RewriterConfig.ON)
with the old and working line:
optimize_tensor_layout=True)
I used:
rewrite_options = rewriter_config_pb2.RewriterConfig(optimize_tensor_layout=True)
but kept running into the same issue UNTIL I went and reran
python setup.py install
from my "research" folder. Then I was able to get everything to work.
Remove optimize_tensor_layout=rewriter_config_pb2.RewriterConfig.ON
change the line 71 in exporter.py
rewrite_options = rewriter_config_pb2.RewriterConfig(optimize_tensor_layout=rewriter_config_pb2.RewriterConfig.ON)
to:
rewrite_options = rewriter_config_pb2.RewriterConfig()
I am new to jira-python and have run into an issue with using jirashell.
jira-python was installed from documentation given here: http://jira.readthedocs.org/en/latest/
When I try to start jirashell using:
ubuntu#ip-10-0-0-12:~$ jirashell -s https://jira.atlassian.com
I get the following error:
Traceback (most recent call last):
File "/usr/local/bin/jirashell", line 11, in <module> sys.exit(main())
File "/usr/local/lib/python2.7/dist-packages/jira/jirashell.py", line 248, in main
jira = JIRA(options=options, basic_auth=basic_auth, oauth=oauth)
File "/usr/local/lib/python2.7/dist-packages/jira/client.py", line 202, in __init__self._create_oauth_session(oauth)
File "/usr/local/lib/python2.7/dist-packages/jira/client.py", line 1871, in _create_oauth_session
oauth['consumer_key'],
KeyError: u'consumer_key'
I have also tried to get to a server using basic auth but that returns the same error. Using curl works fine, but I wanted to see the objects that are getting returned and get help as I develop by python-jira integration.
Thank you for any insight.
I am starting with Microsoft Azure SDK for Python (https://github.com/Azure/azure-sdk-for-python), but I have problems.
I am using Scientific Linux and I have installed the SDK for Python 3.4 following the next steps:
(instead of the SDK directory)
python setup.py install
after that I created a simple script just to test the connection:
from azure.storage import BlobService
blob_service = BlobService(account_name='thename', account_key='Mxxxxxxx3w==' )
blob_service.create_container('testcontainer')
for i in blob_service.list_containers():
print(i.name)
following this documentation:
http://blogs.msdn.com/b/tconte/archive/2013/04/17/how-to-interact-with-windows-azure-blob-storage-from-linux-using-python.aspx
http://azure.microsoft.com/en-us/documentation/articles/storage-python-how-to-use-blob-storage/#large-blobs
but is not working, I always receive the same error:
python3 test.py
Traceback (most recent call last):
File "/usr/local/lib/python3.4/site-packages/azure-0.9.0-py3.4.egg/azure/storage/storageclient.py", line 143, in _perform_request
File "/usr/local/lib/python3.4/site-packages/azure-0.9.0-py3.4.egg/azure/storage/storageclient.py", line 132, in _perform_request_worker
File "/usr/local/lib/python3.4/site-packages/azure-0.9.0-py3.4.egg/azure/http/httpclient.py", line 247, in perform_request
azure.http.HTTPError: The value for one of the HTTP headers is not in the correct format.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "test.py", line 21, in <module>
blob_service.create_container('testcontainer')
File "/usr/local/lib/python3.4/site-packages/azure-0.9.0-py3.4.egg/azure/storage/blobservice.py", line 192, in create_container
File "/usr/local/lib/python3.4/site-packages/azure-0.9.0-py3.4.egg/azure/__init__.py", line 905, in _dont_fail_on_exist
File "/usr/local/lib/python3.4/site-packages/azure-0.9.0-py3.4.egg/azure/storage/blobservice.py", line 189, in create_container
File "/usr/local/lib/python3.4/site-packages/azure-0.9.0-py3.4.egg/azure/storage/storageclient.py", line 150, in _perform_request
File "/usr/local/lib/python3.4/site-packages/azure-0.9.0-py3.4.egg/azure/storage/__init__.py", line 889, in _storage_error_handler
File "/usr/local/lib/python3.4/site-packages/azure-0.9.0-py3.4.egg/azure/__init__.py", line 929, in _general_error_handler
azure.WindowsAzureError: Unknown error (The value for one of the HTTP headers is not in the correct format.)
<?xml version="1.0" encoding="utf-8"?><Error><Code>InvalidHeaderValue</Code><Message>The value for one of the HTTP headers is not in the correct format.
RequestId:b37c5584-0001-002b-24b8-c2c245000000
Time:2014-11-19T14:54:38.9378626Z</Message><HeaderName>x-ms-version</HeaderName><HeaderValue>2012-02-12</HeaderValue></Error>
Thanks in advance and best regards.
I have this exact same issue. I believe it's a library bug, but the author/s haven't had their say yet.
It looks like the response states the version, but it's actually giving you the header that's wrong. Its value should be "2014-02-14", you can do the fix shown in https://github.com/Azure/azure-sdk-for-python/pull/289 .
Hopefully this will be fixed and nobody will ever read this answer. Cheers!