ovalery16 / gender-age-classification Goto Github PK

Hi,
Please help.
Getting error on:
loaded_model = model_from_json(loaded_model_json{"tf": tf})
Thanks.

Thank you for a wonderful code.
I confirmed the operation in the following environment.
All model data has been set up.

• Geforce GTX 1080
• Windows 10 x64
• Python 3.6
• tensorflow-gpu 1.5
• CUDA 9.0

When executing the source code, the following error is displayed.

     code = marshal.loads (raw_code)
ValueError: bad marshal data (unknown type code)

I tried deleting the pyc file, but it made no sense.

I want to know the version of Keras and Python used by this repository.

when I run python prediction_age_gender.py the code is automatically terminating
ype.
from ._conv import register_converters as _register_converters
Using TensorFlow backend.
/home/ubuntu/anaconda3/envs/tensorflow_p27/lib/python2.7/site-packages/matplotlib/init.py:1067: UserWarning: Duplicate key in file "/home/ubuntu/.config/matplotlib/matplotlibrc", line #2
(fname, cnt))
/home/ubuntu/anaconda3/envs/tensorflow_p27/lib/python2.7/site-packages/matplotlib/init.py:1067: UserWarning: Duplicate key in file "/home/ubuntu/.config/matplotlib/matplotlibrc", line #3
(fname, cnt))
2018-05-03 11:04:22.032230: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2018-05-03 11:04:29.405064: W tensorflow/core/framework/allocator.cc:101] Allocation of 47185920 exceeds 10% of system memory.
2018-05-03 11:04:29.548531: W tensorflow/core/framework/allocator.cc:101] Allocation of 37748736 exceeds 10% of system memory.
2018-05-03 11:04:29.658489: W tensorflow/core/framework/allocator.cc:101] Allocation of 37748736 exceeds 10% of system memory.
2018-05-03 11:04:29.788885: W tensorflow/core/framework/allocator.cc:101] Allocation of 18874368 exceeds 10% of system memory.
2018-05-03 11:04:29.849619: W tensorflow/core/framework/allocator.cc:101] Allocation of 18874368 exceeds 10% of system memory.
2018-05-03 11:04:29.914232: W tensorflow/core/framework/allocator.cc:101] Allocation of 18874368 exceeds 10% of system memory.
2018-05-03 11:04:30.045267: W tensorflow/core/framework/allocator.cc:101] Allocation of 47185920 exceeds 10% of system memory.
2018-05-03 11:04:30.135313: W tensorflow/core/framework/allocator.cc:101] Allocation of 37748736 exceeds 10% of system memory.
2018-05-03 11:04:30.157469: W tensorflow/core/framework/allocator.cc:101] Allocation of 37748736 exceeds 10% of system memory.
2018-05-03 11:04:30.178977: W tensorflow/core/framework/allocator.cc:101] Allocation of 18874368 exceeds 10% of system memory.
2018-05-03 11:04:30.189230: W tensorflow/core/framework/allocator.cc:101] Allocation of 18874368 exceeds 10% of system memory.
2018-05-03 11:04:30.200952: W tensorflow/core/framework/allocator.cc:101] Allocation of 18874368 exceeds 10% of system memory.
2018-05-03 11:04:30.237024: W tensorflow/core/framework/allocator.cc:101] Allocation of 37748736 exceeds 10% of system memory.
2018-05-03 11:04:30.272587: W tensorflow/core/framework/allocator.cc:101] Allocation of 47185920 exceeds 10% of system memory.
2018-05-03 11:04:30.394171: W tensorflow/core/framework/allocator.cc:101] Allocation of 18874368 exceeds 10% of system memory.
2018-05-03 11:04:30.453613: W tensorflow/core/framework/allocator.cc:101] Allocation of 18874368 exceeds 10% of system memory.
2018-05-03 11:04:30.499271: W tensorflow/core/framework/allocator.cc:101] Allocation of 18874368 exceeds 10% of system memory.
2018-05-03 11:04:30.520698: W tensorflow/core/framework/allocator.cc:101] Allocation of 37748736 exceeds 10% of system memory.
2018-05-03 11:04:30.742592: W tensorflow/core/framework/allocator.cc:101] Allocation of 18874368 exceeds 10% of system memory.
2018-05-03 11:04:30.770523: W tensorflow/core/framework/allocator.cc:101] Allocation of 18874368 exceeds 10% of system memory.
2018-05-03 11:04:30.783489: W tensorflow/core/framework/allocator.cc:101] Allocation of 18874368 exceeds 10% of system memory.
2018-05-03 11:04:30.789356: W tensorflow/core/framework/allocator.cc:101] Allocation of 37748736 exceeds 10% of system memory.
2018-05-03 11:04:30.789426: W tensorflow/core/framework/allocator.cc:101] Allocation of 37748736 exceeds 10% of system memory.
2018-05-03 11:04:30.789451: W tensorflow/core/framework/allocator.cc:101] Allocation of 47185920 exceeds 10% of system memory.
Killed
`

Your code is tested with pyhton2.7 and the model was saved with 2.7, but when tried to run it with python3.5, I got his error:
Traceback (most recent call last):
File "d:\Program Files\Anaconda3\lib\site-packages\keras\utils\generic_utils.py", line 230, in func_load
raw_code = codecs.decode(code.encode('ascii'), 'base64')
UnicodeEncodeError: 'ascii' codec can't encode character '\x83' in position 37: ordinal not in range(128)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "D:\Face\FaceAttribute\gender-age-classification-master\demo.py", line 21, in
loaded_model = model_from_json(loaded_model_json, custom_objects={"tf": tf})
File "d:\Program Files\Anaconda3\lib\site-packages\keras\engine\saving.py", line 368, in model_from_json
return deserialize(config, custom_objects=custom_objects)
File "d:\Program Files\Anaconda3\lib\site-packages\keras\layers_init_.py", line 55, in deserialize
printable_module_name='layer')
File "d:\Program Files\Anaconda3\lib\site-packages\keras\utils\generic_utils.py", line 145, in deserialize_keras_object
list(custom_objects.items())))
File "d:\Program Files\Anaconda3\lib\site-packages\keras\engine\network.py", line 1017, in from_config
process_layer(layer_data)
File "d:\Program Files\Anaconda3\lib\site-packages\keras\engine\network.py", line 1003, in process_layer
custom_objects=custom_objects)
File "d:\Program Files\Anaconda3\lib\site-packages\keras\layers_init_.py", line 55, in deserialize
printable_module_name='layer')
File "d:\Program Files\Anaconda3\lib\site-packages\keras\utils\generic_utils.py", line 145, in deserialize_keras_object
list(custom_objects.items())))
File "d:\Program Files\Anaconda3\lib\site-packages\keras\engine\network.py", line 1017, in from_config
process_layer(layer_data)
File "d:\Program Files\Anaconda3\lib\site-packages\keras\engine\network.py", line 1003, in process_layer
custom_objects=custom_objects)
File "d:\Program Files\Anaconda3\lib\site-packages\keras\layers_init_.py", line 55, in deserialize
printable_module_name='layer')
File "d:\Program Files\Anaconda3\lib\site-packages\keras\utils\generic_utils.py", line 145, in deserialize_keras_object
list(custom_objects.items())))
File "d:\Program Files\Anaconda3\lib\site-packages\keras\layers\core.py", line 730, in from_config
function = func_load(config['function'], globs=globs)
File "d:\Program Files\Anaconda3\lib\site-packages\keras\utils\generic_utils.py", line 235, in func_load
code = marshal.loads(raw_code)
ValueError: bad marshal data (unknown type code)

Thanks. Which dataset was used for training the pretrained model? Also, please provide details regarding iarchitecture used. Is it inception_v3?

in your utils.py
temp=array( listPrediction[i][3])
IndexError: list index out of range

I tried to let it run with a usb camera. But it runs slowly and when I want to quit, after pressed Ctrl+C, the screen freezes.