Add script to append rows not present in existing metadata.csv

create_json.py

@@ -18,7 +18,7 @@ for folder in folders:
     view = 0
     for image in images:
         object_description = folder.replace('_', ' ')
-        entry = {'file_name' : image, 'object_type' : 'small_scenery', 'object_description' : object_description, 'view': view, 'color1' : 'none', 'color2' : 'none', 'color3' : 'none'}
+        entry = {'file_name' : folder + '/' + image, 'object_type' : 'small_scenery', 'object_description' : object_description, 'view': view, 'color1' : 'none', 'color2' : 'none', 'color3' : 'none'}
         entries.append(entry)
         view = view + 1
         
@@ -28,4 +28,17 @@ dataframe = pandas.DataFrame(entries)
 # dont overwrite the old metadata.csv
 if os.path.exists('metadata.csv'):
     shutil.copyfile('metadata.csv', 'metadata_backup.csv')
-dataframe.to_csv('metadata.csv')
+
+    # read the existing metadata.csv and add only the rows that do not exist
+    output_dataframe = pandas.read_csv('metadata.csv')
+
+    # drop the rows where the object description exists
+    obj_descs = output_dataframe['object_description']
+    for obj_desc in obj_descs:
+        dataframe = dataframe.drop(dataframe[dataframe['object_description'] == obj_desc].index)
+
+    output_dataframe = pandas.concat([output_dataframe, dataframe]).drop_duplicates().reset_index(drop=True)
+    output_dataframe.to_csv('metadata.csv')
+
+else:
+    dataframe.to_csv('metadata.csv')