update iou restore script for latest quantificaitons

iou_restore_mask.py

@@ -11,7 +11,7 @@ from tqdm import tqdm
 # ---
 # Load threshold data
 # ---
-table_path = 'w:\\NPC_adult_new\\quantification_data\\iou_quantification\\iou_quantification_fcenettoinput_2_2023-07-10\\'
+table_path = 'w:\\NPC_adult_new\\quantification_data\\iou_quantification\\iou_quantification_fcenet_newmasks_2023-07-22\\'
 table_list = os.listdir(table_path)
 table_list.sort()
 table_list = [x for x in table_list if x.find('.csv') > 0]
@@ -20,24 +20,24 @@ table_list = [x for x in table_list if x.find('.csv') > 0]
 # Data Import
 # ---
 # results paths
-results_path = 'w:\\NPC_adult_new\\dl_training\\results\\contrastenhance_128x128px_maeloss_20pxblurrad_poissonnoise_adaptive0p6to0p5_unet5\\'
+results_path = 'w:\\NPC_adult_new\\dl_training\\fcenet\\results\\'
 
-pred1_mask_path = results_path+'results_20230707_biasfree\\'
-pred1_suffix_substring = '.tif'
+pred1_mask_path = results_path+'results\\'
+pred1_suffix_substring = '_pred_renorm.tif'
 
 pred1_save_path = os.path.join(pred1_mask_path, 'masks')
 if not os.path.exists(pred1_save_path):
     os.mkdir(pred1_save_path)
 
-pred2_mask_path = results_path+'results_20230707_biasfree_doublerestore\\'
-pred2_suffix_substring = '.tif'
+pred2_mask_path = results_path+'results_x2\\'
+pred2_suffix_substring = '_x2.tif'
 
 pred2_save_path = os.path.join(pred2_mask_path, 'masks')
 if not os.path.exists(pred2_save_path):
     os.mkdir(pred2_save_path)
 
-pred3_mask_path = results_path+'results_20230708_biasfree_x3\\'
-pred3_suffix_substring = '.tif'
+pred3_mask_path = results_path+'results_x3\\'
+pred3_suffix_substring = '_x3.tif'
 
 pred3_save_path = os.path.join(pred3_mask_path, 'masks')
 if not os.path.exists(pred3_save_path):
@@ -69,7 +69,7 @@ for table_name in tqdm(table_list, total=len(table_list)):
     # print('line len: ', data_table[0].shape)
 
 
-    table_name_noext = table_name[12:table_name.index('_mask')]
+    table_name_noext = table_name[12:table_name.index('.csv')]
     print(table_name_noext)
 
     time_image = time.time()