dependencies update and minor fix

.github/workflows/build.yml

@@ -18,7 +18,7 @@ jobs:
       - name: Set up Python
         uses: actions/setup-python@v2
         with:
-          python-version: '3.10.10'
+          python-version: '3.11.3'
       - name: Install dependencies
         run: |
           python -m pip install --upgrade pip
@@ -28,6 +28,8 @@ jobs:
       - name: Show coverage report
         run: coverage report
       - name: Run linter
-        run: pylint --disable=E1101 denoising_inpainting_lbp/
+        if: always()
+        run: pylint denoising_inpainting_lbp/
       - name: Run type checker
-        run: mypy --ignore-missing-imports denoising_inpainting_lbp/ 
+        if: always()
+        run: mypy denoising_inpainting_lbp/

.gitignore

@@ -5,9 +5,8 @@ venv/
 **/.mypy_cache
 denoising_inpainting_lbp.egg-info/
 *.log
-*.png
-!images/*.png
 coverage/
-docs/
 scripts/
 .coverage
+*.png
+!images/*.png

denoising_inpainting_lbp/denoising_inpainting.py

@@ -27,7 +27,7 @@
 logger.setLevel(logging.INFO)
 
 
-# pylint: disable=too-many-arguments
+# pylint: disable-next=too-many-arguments
 def denoise_inpaint(image_path: str,
                     mask_image_path: str,
                     n_iterations: int,
@@ -59,8 +59,6 @@ def denoise_inpaint(image_path: str,
     logger.info('Done!')
 
 
-# pylint: enable=too-many-arguments
-
 def _loopy_belief_propagation(
         observed_image: np.ndarray,
         mask_image: np.ndarray,

denoising_inpainting_lbp/image_damager.py

@@ -63,7 +63,7 @@ def _add_noise(image: np.ndarray,
 
 
 def _calculate_missing_part_points(
-        shape: Tuple[int, ...]) -> Tuple[Tuple[int, int], Tuple[int, int]]:
+        shape: Tuple[int, int]) -> Tuple[Tuple[int, int], Tuple[int, int]]:
     """Create the coordinates of the destroyed portion of the image."""
     missing_part_height = random.randint(
         int(shape[0] * IMAGE_PERCENTAGE_TO_DESTROY_LOW),
@@ -84,7 +84,7 @@ def _calculate_missing_part_points(
 
 def _create_mask_image(
         missing_part_points: Tuple[Tuple[int, int], Tuple[int, int]],
-        shape: Tuple[int, ...]) -> np.ndarray:
+        shape: Tuple[int, int]) -> np.ndarray:
     """Create the mask image.
 
     The mask image indicates which pixels have been damaged.

denoising_inpainting_lbp/markov_random_field.py

@@ -34,7 +34,6 @@ def __init__(self,
 
         self._smoothness_cost = np.empty((self._N_LABELS, self._N_LABELS),
                                          dtype=np.int64)
-
         for i in range(self._N_LABELS):
             for j in range(self._N_LABELS):
                 self._smoothness_cost[i, j] = (

requirements.txt

@@ -1,8 +1,7 @@
-opencv-python==4.7.0.72
-numpy==1.24.2
-matplotlib==3.7.1
-pyqt5==5.15.9
-pytest==7.3.0
-coverage==7.2.3
-pylint==2.17.2
-mypy==1.2.0
+opencv-python==4.8.0.74
+numpy==1.25.2
+matplotlib==3.7.2
+pytest==7.4.0
+coverage==7.2.7
+pylint==2.17.5
+mypy==1.4.1

scripts/main.py

@@ -0,0 +1,9 @@
+from denoising_inpainting_lbp import image_damager
+from denoising_inpainting_lbp import denoising_inpainting
+
+image_damager.damage_image('images/boat.pnp', 0, 0.1)
+denoising_inpainting.denoise_inpaint('images/house-damaged.png',
+                                     'images/house-mask.png',
+                                     1,
+                                     5,
+                                     37580519.6)

setup.py

@@ -1,16 +1,15 @@
 from setuptools import setup
 
 setup(name='denoising_inpainting_lbp',
-      version='0.1.0',
+      version='1.0.0',
       packages=['denoising_inpainting_lbp'],
       author='Nick Geramanis',
       author_email='[email protected]',
       description=('Loopy Belief Propagation algorithm '
                    'for denoising and inpainting greyscale images'),
       url='https://github.com/NickGeramanis/denoising-inpainting-lbp',
       license='GPLV3',
-      python_requires='==3.10.10',
-      install_requires=['opencv-python==4.7.0.72',
-                        'numpy==1.24.2',
-                        'matplotlib==3.7.1',
-                        'pyqt5==5.15.9'])
+      python_requires='==3.11.3',
+      install_requires=['opencv-python==4.8.0.74',
+                        'numpy==1.25.2',
+                        'matplotlib==3.7.2'])