Upload helper script

coco2citw.py

@@ -0,0 +1,62 @@
+#!/usr/bin/env python3
+
+from pycocotools.coco import COCO
+import os
+import shutil
+import json
+
+
+# MODIFY ME!
+# ---------------------------------
+coco_dataset='/opt/datasets/coco/'
+year='2017'
+splits=['train', 'val']
+dst_dir='citw'
+metadata='metadata.jsonl'
+# ---------------------------------
+
+def process_split(coco_dataset, year, split, dst_dir, metadata):
+    annotations=f'{coco_dataset}/annotations/instances_{split}{year}.json'
+    coco=COCO(annotations)
+    cats =coco.loadCats(coco.getCatIds())
+    
+    target_name='cell phone'
+    target_id=coco.getCatIds(catNms=[target_name])[0];
+    
+    print(f'Found "{target_name}" id: {target_id}')
+    
+    image_ids=coco.getImgIds(catIds=[target_id]);
+    images=coco.loadImgs(image_ids)
+    
+    print(f'Found {len(images)} images containing a "{target_name}"')
+    
+    image_dir=f'{coco_dataset}/{split}{year}/'
+    image_dst_dir=f'{dst_dir}/{split}/'
+    
+    os.makedirs(image_dst_dir, exist_ok=True)
+    
+    dst_metadata=f'{image_dst_dir}/{metadata}'
+    with open(dst_metadata, 'w') as f:
+        for image in images:
+            ann_ids = coco.getAnnIds(imgIds=image['id'], catIds=target_id, iscrowd=None)
+            anns = coco.loadAnns(ann_ids)
+    
+            src_image=f'{image_dir}/{image["file_name"]}'
+            shutil.copy(src_image, image_dst_dir)
+    
+            entry={}
+            entry['file_name']=image["file_name"]
+            boxes=[ann['bbox'] for ann in anns]
+            cats=[0]*len(boxes)
+            entry['objects']={
+                'bbox': boxes,
+                'categories': cats
+            }
+    
+            f.write(f'{json.dumps(entry)}\n')
+    
+    print(f'Done processing the "{split}" split!')
+
+if __name__ == "__main__":
+    for split in splits:
+        process_split(coco_dataset, year, split, dst_dir, metadata)