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ESA-PhiLab · Aug 2, 2023 · 985fa8b · 985fa8b
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Showing 6 changed files with 15 additions and 31 deletions.
diff --git a/pyraws/raw/raw_granule.py b/pyraws/raw/raw_granule.py
@@ -1171,7 +1171,7 @@ def show_bands_superimposition(
             bands_superimposed_equalized = equalize_tensor(bands_superimposed, n_std)
             bands_superimposed_equalized = (
                 bands_superimposed_equalized
-                / (2**12 - 1)
+                / (2 ** 12 - 1)
                 * bands_superimposed.max()
                 / bands_superimposed_equalized.max()
             )
@@ -1181,9 +1181,7 @@ def show_bands_superimposition(
                 bands_superimposed_equalized / bands_superimposed_equalized.max()
             )
 
-        plt.imshow(
-            bands_superimposed_equalized.detach().cpu().numpy(),
-        )
+        plt.imshow(bands_superimposed_equalized.detach().cpu().numpy(),)
 
     def show_bands(
         self,

diff --git a/pyraws/utils/visualization_utils.py b/pyraws/utils/visualization_utils.py
@@ -37,7 +37,7 @@ def equalize_tensor(raw_granule_tensor, n_std=2):
         band[band < band_mean - n_std * band_std] = band_mean - n_std * band_std
         band[band > band_mean + n_std * band_std] = band_mean + n_std * band_std
 
-        band, cdf = image_histogram_equalization(band.numpy(), number_bins=2**16)
+        band, cdf = image_histogram_equalization(band.numpy(), number_bins=2 ** 16)
         band = torch.from_numpy(band)
         #   band_clahe = clahe.apply((band.numpy() * CONVERSION ).astype(np.uint8))
         #   raw_granule_tensor_equalized[:,:,n]= torch.from_numpy(band_clahe/CONVERSION)

diff --git a/...studies/coregistration_study/find_best_coregistration_values_digital_image_correlation.py b/...studies/coregistration_study/find_best_coregistration_values_digital_image_correlation.py
@@ -244,17 +244,13 @@ def main():
                     negative_correlation_found = False
                     for shift in tqdm(shift_range[0]):
                         try:
-                            coarse_coregistered_granule = (
-                                stacked_granules.coarse_coregistration(
-                                    crop_empty_pixels=False,
-                                    bands_shifts=[shift],
-                                    downsampling=downsampling,
-                                )
+                            coarse_coregistered_granule = stacked_granules.coarse_coregistration(
+                                crop_empty_pixels=False,
+                                bands_shifts=[shift],
+                                downsampling=downsampling,
                             )
-                            coarse_coregistered_granule_tensor = (
-                                coarse_coregistered_granule.as_tensor(
-                                    downsampling=downsampling
-                                )
+                            coarse_coregistered_granule_tensor = coarse_coregistered_granule.as_tensor(
+                                downsampling=downsampling
                             )
                             # coarse_coregistered_granule_tensor=coarse_coregistered_granule_tensor/coarse_coregistered_granule_tensor.max()
                             by_shifted = coarse_coregistered_granule_tensor[:, :, 1]

diff --git a/scripts_and_studies/granules_filtering/granules_filtering.py b/scripts_and_studies/granules_filtering/granules_filtering.py
@@ -288,8 +288,8 @@ def main():
 
                     complementary_granule_names_list = []
 
-                    complementary_granules_name_bottom = (
-                        complementary_granules_name.split("_bottom_")
+                    complementary_granules_name_bottom = complementary_granules_name.split(
+                        "_bottom_"
                     )
 
                     for name in complementary_granules_name_bottom:

diff --git a/scripts_and_studies/runscripts/generate_coregistration_plot.py b/scripts_and_studies/runscripts/generate_coregistration_plot.py
@@ -45,10 +45,8 @@ def main():
         database="THRAWS",
     )
 
-    raw_coregistered_granule_1 = (
-        raw_event.coarse_coregistration(  # granule index to coregister.
-            granules_idx=[pargs.granule_index]
-        )
+    raw_coregistered_granule_1 = raw_event.coarse_coregistration(  # granule index to coregister.
+        granules_idx=[pargs.granule_index]
     )
 
     # Perform the corase coregistration of the "Etna_00" event.

diff --git a/setup.py b/setup.py
@@ -44,15 +44,7 @@
         "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
         "Programming Language :: Python :: 3.8",
     ],
-    packages=[
-        "pyraws",
-        "pyraws.database",
-        "pyraws.raw",
-        "pyraws.l1",
-        "pyraws.utils",
-    ],
+    packages=["pyraws", "pyraws.database", "pyraws.raw", "pyraws.l1", "pyraws.utils",],
     python_requires=">=3.8, <4",
-    project_urls={
-        "Source": "https://github.com/ESA-PhiLab/PyRawS",
-    },
+    project_urls={"Source": "https://github.com/ESA-PhiLab/PyRawS",},
 )