Refactor the images into subdirectories for compatibilities per HF Dataset. Updated VQA records to reflect the change

.gitattributes

@@ -59,3 +59,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
 .json filter=lfs diff=lfs merge=lfs -text
 *.json filter=lfs diff=lfs merge=lfs -text
+updated_trainval.json filter=lfs diff=lfs merge=lfs -text

trainval.json → misc/move_to_mapping.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:86cf322a88a2f5726a6d073d9dec31af7a0b7e2bb652c653963d05140ab675d4
-size 116101567
+oid sha256:e14bc9912b92a5a5086ac7c1485aa5964445581302f51da291ee3cf9de290ad8
+size 1862221

refactor.py

@@ -0,0 +1,83 @@
+import json
+import os
+import tqdm
+def preprocess():
+    all_train = json.load(open('trainval.json', 'r'))
+
+
+    im_ids = set()
+    for vqa_id, vqa in all_train.items():
+        im_ids.add(vqa['obs'][0])
+
+
+    move_to_mapping = dict()
+
+    subfolder_id = 0
+    subfolder_num_items = 0
+    max_items = 5000
+    for im_id in im_ids:
+        move_to_mapping[im_id] = subfolder_id
+        subfolder_num_items += 1
+        if subfolder_num_items >= max_items:
+            subfolder_id += 1
+            subfolder_num_items = 0
+
+
+    json.dump(move_to_mapping, open('move_to_mapping.json', 'w'), indent=2)
+    print(len(im_ids))
+
+
+
+def refactor():
+    new_root_folder = 'trainval_obs'
+    if not os.path.exists(new_root_folder):
+        os.makedirs(new_root_folder)
+    move_to_mapping = json.load(open('move_to_mapping.json', 'r'))
+    all_train = json.load(open('trainval.json', 'r'))
+
+    for vqa_id, vqa in tqdm.tqdm(all_train.items(), total=len(all_train)):
+        im_id = vqa['obs'][0]
+
+        im_file_name = os.path.basename(im_id)
+
+        
+        subfolder_id = move_to_mapping[im_id]
+        subfolder_path = os.path.join(new_root_folder, str(subfolder_id))
+
+        new_im_path = os.path.join(subfolder_path, im_file_name)
+
+        if not os.path.exists(subfolder_path):
+            os.makedirs(subfolder_path)
+        if not os.path.exists(new_im_path):
+            #print(f'Moving {im_id} to {new_im_path}')
+            os.rename(im_id, new_im_path)
+
+        vqa['obs'] = [new_im_path]
+    
+    json.dump(all_train, open('updated_trainval.json', 'w'), indent=2)
+
+
+def sanity_check():
+    prev_vqas = json.load(open('trainval.json', 'r'))
+    now_vqas = json.load(open('updated_trainval.json', 'r'))
+    assert len(prev_vqas) == len(now_vqas), 'Number of VQAs should be the same after refactoring.'
+    for vqa_id, vqa in now_vqas.items():
+        assert prev_vqas[vqa_id]['obs'][0] != vqa['obs'][0], 'VQA obs should be updated after refactoring.'
+        old_im_name = os.path.basename(prev_vqas[vqa_id]['obs'][0])
+        new_im_name = os.path.basename(vqa['obs'][0])
+        assert old_im_name == new_im_name, 'Image file names should be the same'
+
+
+
+if __name__ == '__main__':
+    pass
+    
+
+
+
+        
+
+
+
+
+