diff --git a/MANIFEST.in b/MANIFEST.in
index f47a178..ac327c7 100644
--- a/MANIFEST.in
+++ b/MANIFEST.in
@@ -1,8 +1,7 @@
include LICENSE
include README.md
-recursive-include deepdespeckling/merlin/training/saved_model *
-recursive-include deepdespeckling/merlin/saved_model *
+recursive-include deepdespeckling/merlin/saved_models *
recursive-include deepdespeckling/sar2sar/saved_model *
recursive-exclude * __pycache__
diff --git a/README.md b/README.md
index 0fae5cb..fca5c2f 100644
--- a/README.md
+++ b/README.md
@@ -2,10 +2,10 @@
Speckle noise seriously limits the interpretability of synthetic aperture radar (SAR) images. This package provides deep learning based despeckling methods to denoise SAR images.
-deepdespeckling gives access to two differents methods:
+deepdespeckling gives access to two different despeckling methods:
-* [MERLIN](https://arxiv.org/pdf/2110.13148.pdf) (inference and training)
-* [SAR2SAR](https://arxiv.org/pdf/2006.15037.pdf) (inference only)
+* [MERLIN](https://arxiv.org/pdf/2110.13148.pdf)
+* [SAR2SAR](https://arxiv.org/pdf/2006.15037.pdf)
[](https://badge.fury.io/py/deepdespeckling)
@@ -178,11 +178,7 @@ despeckle(image_path, destination_directory, model_name="sar2sar")
## Documentation
-To read a clean documentation of the package, you can generate it using sphinx files in the `docs` folder
-
-1. `cd docs`
-2. `make html `
-3. open `build/index.html`
+The documentation of the package is [available here](https://hi-paris.github.io/deepdespeckling/)
## Authors
diff --git a/setup.py b/setup.py
index 43f9456..d24b941 100644
--- a/setup.py
+++ b/setup.py
@@ -40,6 +40,6 @@
name='deepdespeckling',
packages=find_packages(include=['deepdespeckling', 'deepdespeckling.*']),
url='https://github.com/hi-paris/deepdespeckling',
- version='0.4',
+ version='0.5',
zip_safe=False,
)