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ESA-PhiLab · Mar 22, 2024 · 0e2da5e · 0e2da5e
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commit 0e2da5e
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Showing 6 changed files with 9 additions and 16 deletions.
diff --git a/.DS_Store b/.DS_Store
diff --git a/pyraws/raw/raw_event.py b/pyraws/raw/raw_event.py
@@ -76,7 +76,7 @@ def __init__(
         else:
             self.__useful_granule_bounding_box_dict = {}
 
-        self.__device=device
+        self.__device = device
 
     def from_path(self, raw_dir_path, bands_list, verbose=True):
         """Read specific bands of the Sentinel-2 raw event located at ""raw_dir_path"".
@@ -253,7 +253,6 @@ def get_device(self):
         """
         return self.__device
 
-
     def get_stackable_granules(self):
         """Returns list of stackable granules couples indices and stacking positions.
 

diff --git a/pyraws/raw/raw_granule.py b/pyraws/raw/raw_granule.py
@@ -1172,7 +1172,7 @@ 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()
             )
@@ -1182,13 +1182,9 @@ def show_bands_superimposition(
                 bands_superimposed_equalized / bands_superimposed_equalized.max()
             )
         if ax is not None:
-            ax.imshow(
-                bands_superimposed_equalized.detach().cpu().numpy(),
-            )
+            ax.imshow(bands_superimposed_equalized.detach().cpu().numpy(),)
         else:
-            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/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.