Commit 521d18ea authored by Tiago de Freitas Pereira's avatar Tiago de Freitas Pereira
Browse files

Improved the --help

parent e6799f2c
Pipeline #21853 passed with stage
in 35 minutes and 18 seconds
...@@ -98,10 +98,69 @@ def style_transfer(content_image_path, output_path, style_image_paths, ...@@ -98,10 +98,69 @@ def style_transfer(content_image_path, output_path, style_image_paths,
content_weight, style_weight, denoise_weight, content_end_points, content_weight, style_weight, denoise_weight, content_end_points,
style_end_points, scopes, pure_noise, **kwargs): style_end_points, scopes, pure_noise, **kwargs):
""" """
Trains neural style transfer from Trains neural style transfer using the approach presented in:
Gatys, Leon A., Alexander S. Ecker, and Matthias Bethge. "A neural algorithm of artistic style." arXiv preprint arXiv:1508.06576 (2015). Gatys, Leon A., Alexander S. Ecker, and Matthias Bethge. "A neural algorithm of artistic style." arXiv preprint arXiv:1508.06576 (2015).
\b
If you want run a style transfer using InceptionV2 as basis folo
Below follow a CONFIG template
CONFIG.PY
```
from bob.extension import rc
from bob.learn.tensorflow.network import inception_resnet_v2_batch_norm
architecture = inception_resnet_v2_batch_norm
checkpoint_dir = rc["bob.bio.face_ongoing.idiap_casia_inception_v2_centerloss_rgb"]
style_end_points = ["Conv2d_1a_3x3", "Conv2d_2b_3x3", "Conv2d_3b_1x1", "Conv2d_4a_3x3"]
content_end_points = ["Bottleneck", "PreLogitsFlatten"]
scopes = {"InceptionResnetV2/":"InceptionResnetV2/"}
```
\b
Then run::
$ bob tf style <content-image> <output-image> --style-image-paths <style-image> CONFIG.py
You can also provide a list of images to encode the style using the config file as in the example below.
CONFIG.PY
```
from bob.extension import rc
from bob.learn.tensorflow.network import inception_resnet_v2_batch_norm
architecture = inception_resnet_v2_batch_norm
checkpoint_dir = rc["bob.bio.face_ongoing.idiap_casia_inception_v2_centerloss_rgb"]
style_end_points = ["Conv2d_1a_3x3", "Conv2d_2b_3x3", "Conv2d_3b_1x1", "Conv2d_4a_3x3"]
content_end_points = ["Bottleneck", "PreLogitsFlatten"]
scopes = {"InceptionResnetV2/":"InceptionResnetV2/"}
style_image_paths = ["STYLE_1.png",
"STYLE_2.png"]
```
Then run::
$ bob tf style <content-image> <output-image> CONFIG.py
\b \b
""" """
# Reading and converting to the tensorflow format # Reading and converting to the tensorflow format
......
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