2019-12-29 11:55:25.596039: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1326] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9754 MB memory) -> physical GPU (device: 0, name: GeForce RTX 2080 Ti, pci bus id: 0000:08:00.0, compute capability: 7.5)
Exception in thread Thread-4:
Traceback (most recent call last):
File "/usr/lib/python3.7/threading.py", line 926, in _bootstrap_inner
self.run()
File "/home/sentinela/VISAOCOMPUTACIONAL/Linuxfx-Age-Estimator/RecognitionThread.py", line 206, in run
ageout = self.ageNet.predict(np.expand_dims(agein, 0))[0]
File "/home/sentinela/.local/lib/python3.7/site-packages/keras/engine/training.py", line 1462, in predict
callbacks=callbacks)
File "/home/sentinela/.local/lib/python3.7/site-packages/keras/engine/training_arrays.py", line 324, in predict_loop
batch_outs = f(ins_batch)
File "/home/sentinela/.local/lib/python3.7/site-packages/tensorflow/python/keras/backend.py", line 3289, in call
self._make_callable(feed_arrays, feed_symbols, symbol_vals, session)
File "/home/sentinela/.local/lib/python3.7/site-packages/tensorflow/python/keras/backend.py", line 3222, in _make_callable
callable_fn = session._make_callable_from_options(callable_opts)
File "/home/sentinela/.local/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 1489, in _make_callable_from_options
return BaseSession._Callable(self, callable_options)
File "/home/sentinela/.local/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 1446, in init
session._session, options_ptr)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Tensor input_1:0, specified in either feed_devices or fetch_devices was not found in the Graph

Any IDEA?

configparser.ParsingError: Source contains parsing errors: 'config.ini'

I am having this error while running code. It would be great if you will provide some input.

i don't understand why below code is used

I expect two lines to be Convert range of x from 0 to 1,
but the subtraction codes below are totally incomprehensible.

i want to know why these code is used
thank you

@staticmethod
def preprocess_input(img):
	x = img - img.min()
	x = 255.0 * x / x.max()

	x[..., 0] -= 103.939
	x[..., 1] -= 116.779
	x[..., 2] -= 123.68
	return x

Hi,
Thank you for awesome implementation. I was wondering how can we save the resultant video ? which files should i modify for this ?

I only use Windows.
legacy project was successfully run with Windows.
but current updated project is doesn't work with Windows because "faiss" module is not support Windows.
can you modify this problem?
i really want Windows version.
thank you!

Is this only supposed to work on linux because I think its a linux command...

xrandr | grep "*" | cut -d" " -f4

I get this error :

Using TensorFlow backend.
'xrandr' is not recognized as an internal or external command,
operable program or batch file.
Traceback (most recent call last):
File "C:/Users/vaun_/PycharmProjects/TUT-live-age-estimator/EstimateAge.py", line 23, in
controllerThread = ControllerThread.ControllerThread(params)
File "C:\Users\vaun_\PycharmProjects\TUT-live-age-estimator\ControllerThread.py", line 45, in init
self.resolution = [int(s) for s in self.resolution]
File "C:\Users\vaun_\PycharmProjects\TUT-live-age-estimator\ControllerThread.py", line 45, in
self.resolution = [int(s) for s in self.resolution]
ValueError: invalid literal for int() with base 10: ''

Thanks

Are only USB cameras supported?

I have a network camera with RTSP enabled. Can this be a valid video source?

Thanks.

Faiss-cpu is not supported on WIN10
How can i use this on WIN10?

When I tried to download the model from Onedrive, some files were not downloaded. The limit of file downloads has been reached. The total number of file downloads cannot be greater than 200.

So could you please refresh the link?

Thanks a lot.

I am unable to run this code for multi-cameras. Can you guide me what changes should make to run the code for multi-cameras. Thank you

Is there any tensorflow implementation of the code ?