Add start of plotting of cutout

lofarnn/data/datasets.py

@@ -33,13 +33,6 @@ def get_lotss_objects(fname, verbose=False):
     return Table(table)
 
 
-def get_panstarrs_download_name(p_download_loc, f_ra, f_dec, p_size, filter):
-    """
-    Get the download name of a PanSTARRS fits file in a fixed format
-    """
-    return f'{p_download_loc}ra={f_ra}_dec={f_dec}_s={p_size}_{filter}.fits'
-
-
 def create_coco_annotations(image_names,
                             image_dir='images', image_destination_dir=None,
                             json_dir='', json_name='json_data.pkl', image_size=None,
@@ -414,7 +407,8 @@ def create_fixed_cutouts(mosaic, value_added_catalog, pan_wise_catalog, mosaic_l
 
 
 def create_fixed_source_dataset(cutout_directory, pan_wise_location,
-                                value_added_catalog_location, dr_two_location, fixed_size=300, use_multiprocessing=False,
+                                value_added_catalog_location, dr_two_location, fixed_size=300,
+                                use_multiprocessing=False,
                                 num_threads=os.cpu_count()):
     """
     Creates fixed size dataset using LGZ data

lofarnn/visualization/cutouts.py

@@ -0,0 +1,25 @@
+import matplotlib.patches as patches
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def plot_cutout_and_bbox(image_name, title):
+    """
+
+    :param image_name:
+    :param title:
+    :return:
+    """
+
+    cutout_and_bboxes = np.load(image_name)
+    cutout = cutout_and_bboxes[0]
+    bboxes = cutout_and_bboxes[1]
+    fig,ax = plt.subplots(1)
+    if cutout.shape[2] == 3:
+        ax.imshow(cutout)
+
+    for bbox in bboxes:
+        rect = patches.Rectangle((bbox[0], bbox[1]), 1, 1, linewidth=1, edgecolor='r', facecolor='none')
+        ax.add_patch(rect)
+
+    plt.show()