debugging

SPIDER.py

@@ -37,6 +37,7 @@ def import_csv_data(filepath: str) -> List[Dict[str, str]]:
 
 # Define constants
 N_PATIENTS = 257
+MAX_IVD = 9
 
 # TODO: Add BibTeX citation
 # Find for instance the citation on arxiv or on the dataset repo/website
@@ -439,12 +440,12 @@ class SPIDER(datasets.GeneratorBasedBuilder):
             if patient_grades:
                 grades_dict[str(patient_id)] = patient_grades
                 
-        # Determine maximum number of radiological gradings per patient
-        max_ivd = 0
-        for temp_dict_1 in grades_dict.values():
-            for temp_dict_2 in temp_dict_1:
-                if int(temp_dict_2['IVD label']) > max_ivd:
-                    max_ivd = int(temp_dict_2['IVD label'])
+        # # Determine maximum number of radiological gradings per patient
+        # max_ivd = 0
+        # for temp_dict_1 in grades_dict.values():
+        #     for temp_dict_2 in temp_dict_1:
+        #         if int(temp_dict_2['IVD label']) > max_ivd:
+        #             max_ivd = int(temp_dict_2['IVD label'])
 
         # Import image and mask data
         image_files = [
@@ -526,17 +527,19 @@ class SPIDER(datasets.GeneratorBasedBuilder):
                 
             # Pad patient radiological gradings so that data for all patients
             # have the same dimensions
-            for i in range(len(patient_grades_dict) + 1, max_ivd + 1):
-                patient_grades_dict[f'IVD{i}'] = {
-                    "Modic": "",
-                    "UP endplate": "",
-                    "LOW endplate": "",
-                    "Spondylolisthesis": "",
-                    "Disc herniation": "",
-                    "Disc narrowing": "",
-                    "Disc bulging": "",
-                    "Pfirrman grade": "",
-                }
+            if len(patient_grades_dict) < MAX_IVD:
+                for i in range(len(patient_grades_dict) + 1, MAX_IVD + 1):
+                    print(i)
+                    patient_grades_dict[f'IVD{i}'] = {
+                        "Modic": "",
+                        "UP endplate": "",
+                        "LOW endplate": "",
+                        "Spondylolisthesis": "",
+                        "Disc herniation": "",
+                        "Disc narrowing": "",
+                        "Disc bulging": "",
+                        "Pfirrman grade": "",
+                    }
 
             # Prepare example return dict
             return_dict = {'patient_id':patient_id, 'scan_type':scan_type}