Upload LLaVA-Next-3D/data_precessing/intent3d.py with huggingface_hub

LLaVA-Next-3D/data_precessing/intent3d.py

@@ -0,0 +1,36 @@
+# encoding: utf-8
+# a = input("please input a number:")
+import pdb
+import torch
+import json
+import pdb
+
+vigil = json.load(open('/mnt/petrelfs/wangzehan/LLaVA-Next-3D/data/processed/intent3d_id_v3_val_llava_style.json', 'r'))
+# vigil = json.load(open('/mnt/petrelfs/wangzehan/LLaVA-Next-3D/data/processed/vigil3d_scannet_id_v2_val_llava.json', 'r'))
+scanrefer = json.load(open('/mnt/petrelfs/wangzehan/LLaVA-Next-3D/data/processed/scanrefer_vg_val_llava_style.json', 'r'))
+box_info = json.load(open('/mnt/petrelfs/wangzehan/LLaVA-Next-3D/data/metadata/scannet_val_gt_box.json', 'r'))
+
+num_id = 0
+vigil_val = []
+for vigil_item in vigil:
+
+    obj_ids = vigil_item['metadata']['object_id']
+    if len(obj_ids) == 0:
+        box = []
+    else:
+        box = [box_info[vigil_item['video']][int(obj_id)] for obj_id in obj_ids]
+
+    desc = vigil_item['conversations'][0]['value'].split('\n')[1]
+    
+    new_item = {"id": num_id, "video": vigil_item['video'], "conversations": [
+                {"value": f"<image>Identify the object according to the following description.\n{desc}", "from": "human"}, 
+                {"value": "<ground>", "from": "gpt"}], 
+                "box": box, 
+                "metadata": {"dataset": "vigil", "question_type": "multiple", "ann_id": num_id, "object_id": obj_ids}}
+    
+    vigil_val.append(new_item)
+    num_id += 1
+
+with open('/mnt/petrelfs/wangzehan/LLaVA-Next-3D/extra_data/Other_VG/intent3d_full_vg_val_llava_style.json', 'w') as f:
+    json.dump(vigil_val, f, indent=4)
+