Update repo please??

[quintendewilde]

I'm trying to make this to work on current platform and versions but it's very hard for a newbie like me..

Any help with this?

disable_resource_variables (from tensorflow.python.ops.variable_scope) is deprecated and will be removed in a future version.
Instructions for updating:
non-resource variables are not supported in the long term
Traceback (most recent call last):
File "style.py", line 6, in
from optimize import optimize
File "src/optimize.py", line 6, in
from utils import get_img
File "src/utils.py", line 23
return img
^

IndentationError: expected an indented block
(mlquinten) ubuntu@ip-172-31-51-152:~/training_styletransfer$ sudo nano src/utils.py
(mlquinten) ubuntu@ip-172-31-51-152:~/training_styletransfer$ bash run.sh
WARNING:tensorflow:From /home/ubuntu/mlquinten/lib/python3.7/site-packages/tensorflow/python/compat/v2_compat.py:96: disable_resource_variables (from tensorflow.python.ops.variable_scope) is deprecated and will be removed in a future version.
Instructions for updating:
non-resource variables are not supported in the long term
Traceback (most recent call last):
  File "style.py", line 6, in <module>
    from optimize import optimize
  File "src/optimize.py", line 6, in <module>
    from utils import get_img
  File "src/utils.py", line 22
    return img
         ^
IndentationError: expected an indented block
(mlquinten) ubuntu@ip-172-31-51-152:~/training_styletransfer$ sudo nano src/utils.py
(mlquinten) ubuntu@ip-172-31-51-152:~/training_styletransfer$ bash run.sh
WARNING:tensorflow:From /home/ubuntu/mlquinten/lib/python3.7/site-packages/tensorflow/python/compat/v2_compat.py:96: disable_resource_variables (from tensorflow.python.ops.variable_scope) is deprecated and will be removed in a future version.
Instructions for updating:
non-resource variables are not supported in the long term
ml5.js Style Transfer Training!
Note: This traning will take a couple of hours.
Training is starting!...
Train set has been trimmed slightly..
(1, 512, 362, 3)
UID: 25
Traceback (most recent call last):
  File "style.py", line 179, in <module>
    main()
  File "style.py", line 156, in main
    for preds, losses, i, epoch in optimize(*args, **kwargs):
  File "src/optimize.py", line 107, in optimize
    X_batch[j] = get_img(img_p, (256,256,3)).astype(np.float32)
ValueError: could not broadcast input array from shape (427,640,3) into shape (256,256,3)

[shiffman]

Hi @quintendewilde, sorry that this repo hasn't had a lot of attention as of late! I was recently able to train the model by following @yining1023's google colab notebook:

https://colab.research.google.com/drive/1TZNdhoUEBoxQqY5EFloZcuyYUs9oNQ-g?usp=sharing

More info:
https://github.com/yining1023/machine-learning-for-the-web/tree/master/week5-styleTransfer#coding-session

[epphone]

Hello! I have recently used the google colab notebook to train a model for style transfer for a new and exciting installation I made. However I had many problems with compatibility, due to colab not being able to install the tensorflow v1.14.
Turns out(!), training with newer versions leads to functional models to use with ml5, even with ml5's older tensorflow implementation.

I have a new colab notebook here, but I had to change a couple of files :

• setup.sh from https://github.com/lengstrom/fast-style-transfer was updated to use a new link from cocodataset.org to download the 2014 coco dataset
• dump_checkpoint_vars.py in https://github.com/reiinakano/fast-style-transfer-deeplearnjs.git was updated for compatibility with newer TF versions and I added a .bin extension to the variables and within manifest.json to be succesfully read by ml5.styleTransfer method

Here is the new notebook :
https://colab.research.google.com/drive/1TFuIUStPP3bZMrjPYyIwcVVLHAVeCEXo?usp=sharing

I've include a zip with the updated files, but maybe forks of the above githubs with updated files would be better?
ml5_styleTransfer_github.zip
Still a noob at Github, sorry!
Thanks!