From 946077b641a2f91d4f763a423e617456a10e9c09 Mon Sep 17 00:00:00 2001
From: Selda Uyanik <81234105+seldauyanik-maxim@users.noreply.github.com>
Date: Tue, 20 Dec 2022 19:16:54 +0300
Subject: [PATCH] Modify truncation on AISegment testset (#203)

---
 datasets/aisegment.py | 13 +++++++++----
 1 file changed, 9 insertions(+), 4 deletions(-)

diff --git a/datasets/aisegment.py b/datasets/aisegment.py
index c499313dc..ad504e63a 100644
--- a/datasets/aisegment.py
+++ b/datasets/aisegment.py
@@ -63,7 +63,7 @@ class AISegment(Dataset):
     num_of_imgs_to_use_hr = 20000
 
     def __init__(self, root_dir, d_type, transform=None, im_size=(80, 80), fold_ratio=1,
-                 use_memory=False):
+                 use_memory=False, truncate_testset=False):
 
         if im_size not in ((80, 80), (352, 352)):
             raise ValueError('im_size can only be set to (80, 80) or (352, 352)')
@@ -88,6 +88,8 @@ def __init__(self, root_dir, d_type, transform=None, im_size=(80, 80), fold_rati
 
         self.d_type = d_type
 
+        self.is_truncated = False
+
         vertical_crop_area = AISegment.org_img_dim[0] - AISegment.img_crp_dim[0]
 
         if vertical_crop_area % (AISegment.num_of_cropped_imgs - 1) != 0:
@@ -201,13 +203,14 @@ def __init__(self, root_dir, d_type, transform=None, im_size=(80, 80), fold_rati
             self.img_files_info = test_img_files_info
             self.dataset_pkl_file_path = test_dataset_pkl_file_path
             self.processed_folder_path = self.processed_test_data_folder
+            if truncate_testset:
+                self.is_truncated = True
 
         else:
             print(f'Unknown data type: {self.d_type}')
             return
 
         self.__create_pkl_files()
-        self.is_truncated = False
 
     def __create_pkl_files(self):
         if self.__check_pkl_files_exist():
@@ -407,7 +410,8 @@ def AISegment_get_datasets(data, load_train=True, load_test=True, im_size=(80, 8
 
         train_dataset = AISegment(root_dir=data_dir, d_type='train',
                                   transform=train_transform,
-                                  im_size=im_size, fold_ratio=fold_ratio, use_memory=use_memory)
+                                  im_size=im_size, fold_ratio=fold_ratio, use_memory=use_memory,
+                                  truncate_testset=False)
         print(f'Train dataset length: {len(train_dataset)}\n')
     else:
         train_dataset = None
@@ -420,7 +424,8 @@ def AISegment_get_datasets(data, load_train=True, load_test=True, im_size=(80, 8
 
         test_dataset = AISegment(root_dir=data_dir, d_type='test',
                                  transform=test_transform,
-                                 im_size=im_size, fold_ratio=fold_ratio, use_memory=use_memory)
+                                 im_size=im_size, fold_ratio=fold_ratio, use_memory=use_memory,
+                                 truncate_testset=args.truncate_testset)
 
         print(f'Test dataset length: {len(test_dataset)}\n')
     else: