hmi88 / began-tensorflow Goto Github PK

On 55-th line in op_base.py,
data = sorted(glob(os.path.join(data_path, "*.*")))
I get the following error,

Traceback (most recent call last):
  File "/home/jay/pycharm-2017.1.1/helpers/pydev/_pydevd_bundle/pydevd_exec.py", line 3, in Exec
    exec exp in global_vars, local_vars
  File "<string>", line 1, in <module>
TypeError: 'module' object is not callable

I followed your instructions correctly.

Is it because I'm using Ubuntu or Pycharm?

I think you might accidentally give the wrong link to the dropbox when you gave away the link used to visualise the training progress with tensorboard.

File "main.py", line 56, in
main()
File "main.py", line 51, in main
model.train(args.flag)
UnboundLocalError: local variable 'model' referenced before assignment

Thanks for sharing! How to use pre-trained model to generate face images? I've downloaded from dropbox, then?

Hello, When I run this code with:
python3 main.py -f 1 -p "began" -trd "celeba" -tro "crop" -trs 64 -z 128 -em 128 -fn 64 -b 16 -lr 1e-4 -gm 0.4 -g "0"
or any other configurations, it works till shuffle done and it stops!
any suggestion? did anyone else got same error?

Hi! I'm very interested in your project, I'm currently working on an open source project that should be able to interpolate the face (with expression) in video frames of person a into something that looks more like person b.

What I have so far:

Dataset Generation

• Extracting frames from many youtube videos of person a or person b
• Running facial recognition and alignment to save every training usable region of interest with the correct people into personA and personB folders

Translation Utility

• Provide low fps video of person a, for each frame extract the region of interest (face)
• Run it through some kind of image translation (I would like to use your project for that)
• Then save the result back into the original region of interest. (possibly add color correction, etc of modified roi with pix2pix)

What I want to use your project for:

Image Translation
personA->personB conversion (or at least a high similarity, like in the male->female projects) of regions of interest in individual videoframes

What I don't understand

How to use your project for this purpose ;) Can you point me in a direction, so that I can set up your project for this specific application?

firstly , thanks for your code ! as a tf beginner, i learned a lot from you code, but in this code ,i can't load your model file which named 'began_gm0.4.model-429439.data-00000-of-00001', it is not a ckpt file , how can i load it ,please help me ,thanks for your time

Line 158 in op_BEGAN is:
nowDatetime = now.strftime('%Y-%m-%d_%H:%M:%S')

Change it to:
nowDatetime = now.strftime('%Y-%m-%d_%H_%M_%S')

Line 38 in op_base.py is:

    self.project_dir = 'assets/{0}_{1}_{2}_{3}/'.format(self.project, self.dataset, self.data_opt, self.data_size)

Change it to:

    self.project_dir = 'assets/{0}_{1}_{2}_{3}'.format(self.project, self.dataset, self.data_opt, self.data_size)

why the iter num is different when the training stoped?sometimes,7,or 11and so on.

Hey! Thank you for uploading your implementation and opening a discussion on Github. Unfortunately, the code won't run without the src folder ;)