'_thread._local' object has no attribute 'value' about deepface HOT 19 CLOSED

could you print faceinfo directly?

from deepface.

Printing faceinfo directly works fine

Ill give u all of my code. Im writing a telegram bot that fetches faces from the chat and sends the user info about them

https://pastebin.com/r26h3M4V

Sorry for deleting multiple comments leaked token accendatily

from deepface.

You have faceinfo but you cannot access the values in faceinfo right? I cannot open the web site link you shared.

Could you try to run the following code block and send me the printings.

from deepface import DeepFace

faceinfo = DeepFace.analyze("images/happy.jpeg")

print(resp_obj)

print("-------------------------")

for key, value in resp_obj.items():
	print(key,": ",value)

from deepface.

It seems that you cannot process json objects. Please import json library as well.

from deepface.

Adding "import json" did not solve the problem. Also the code u send me above did not work.
resp_obj is undefined I assume u meant face info with it.

from deepface.

Right. Could you share the print screen when you run the following code block.

from deepface import DeepFace

faceinfo = DeepFace.analyze("images/happy.jpeg")

print(faceinfo)

print("-------------------------")

for key, value in faceinfo.items():
	print(key,": ",value)

from deepface.

It seems to stop at the line: faceinfo = DeepFace.analyze("image/happy.jpeg")

EDIT: This is not a new project. This is the project where I've sent u the code for. The pastebin link is in a couple posts above this one

from deepface.

Hmm weird. I get the exact same error when I try to load a model with Keras inside a function.

from keras import load_model

model = load_model(emotions.hdf5)

this will also trow the error

from deepface.

Replace resp_obj to faceinfo please. Then share the print screen again.

from deepface.

I get the exact same error message. Removing try and exept gives something weird. It will just say: Actions to do: ['emotion', 'age', 'gender', 'race']. And then stay on it. No error message nothing. Endless this

from deepface.

what was your tf and keras versions?

could you reinstall them for the following versions

pip install tensorflow==1.9.0
pip install keras==2.2.0

from deepface.

I have stopped using keras. I wanted to use your library now. Also pip install tensorflow==1.9.0 does not work. There is no tensor flow 1.9.0?

from deepface.

Collecting tensorflow==1.9.0
Could not find a version that satisfies the requirement tensorflow==1.9.0 (from versions: 1.13.0rc1, 1.13.0rc2, 1.13.1, 1.13.2, 1.14.0rc0, 1.14.0rc1, 1.14.0, 1.15.0rc0, 1.15.0rc1, 1.15.0rc2, 1.15.0rc3, 1.15.0, 1.15.2, 1.15.3, 2.0.0a0, 2.0.0b0, 2.0.0b1, 2.0.0rc0, 2.0.0rc1, 2.0.0rc2, 2.0.0, 2.0.1, 2.0.2, 2.1.0rc0, 2.1.0rc1, 2.1.0rc2, 2.1.0, 2.1.1, 2.2.0rc0, 2.2.0rc1, 2.2.0rc2, 2.2.0rc3, 2.2.0rc4, 2.2.0)
No matching distribution found for tensorflow==1.9.0

from deepface.

Interesting. Here, you can check the tf 1.9.0

https://pypi.org/project/tensorflow/1.9.0/

Please try 1.13.1

from deepface.

1.13.1 did work. Im now installing it

from deepface.

Using tensor flow 1.13.1 worked!

I do get some errors

1:

/Users/Joris/PycharmProjects/TestMode/venv/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])

2:

WARNING:tensorflow:From /Users/Joris/PycharmProjects/TestMode/venv/lib/python3.7/site-packages/tensorflow/python/ops/resource_variable_ops.py:435: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:

But it did successfully get the emotions and everything! :D

from deepface.

these are warnings. you can discard and ignore.

happy to hear that.

from deepface.

Anyway how I can turn them off? I won't bother u anymore after this :D
Anyways really really really thankful. Thanks for fast replies :D

from deepface.

Using os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' stops the second error but not the first

from deepface.