Add an output argument

VidSTG/read_annotation_multithread.py

@@ -13,6 +13,7 @@ def main():
     parser.add_argument('--vidstg', type=str, default='VidSTG-Dataset/annotations/train_annotations.json')
     parser.add_argument('--vidor_anno_path_base', type=str, default='vidor/train_annotation/training/')
     parser.add_argument('--vidor_path_base', type=str, default='vidor/train/video')
+    parser.add_argument('--output', type=str, default='results_multithread.json')
     args = parser.parse_args()
     # vidor_data = read_json_file('vidor/train_annotation/training/0000/2401075277.json')
 

run_vtimellm.md

@@ -17,13 +17,13 @@ ssh -t -t -i /home/datasets/xitong_id_rsa xitong@newton.ist.ucf.edu -L 7860:loca
 ### generate validation datasets
 ```
 # vidstg validation still use vidor training data. it is default dataset. so no need to specify
-python Shikra_V/VidSTG/read_annotation_multithread.py --vidstg VidSTG-Dataset/annotations/val_annotations.json
+python Shikra_V/VidSTG/read_annotation_multithread.py --vidstg VidSTG-Dataset/annotations/val_annotations.json --output vidstg_val.json
 ```
 
 ### generate test datasets
 ```
 # vidstg test use vidor validation data.
-python Shikra_V/VidSTG/read_annotation_multithread.py --vidstg VidSTG-Dataset/annotations/test_annotations.json --vidor_anno_path_base vidor/validation_annotation/validation --vidor_path_base vidor/validation/video   
+python Shikra_V/VidSTG/read_annotation_multithread.py --vidstg VidSTG-Dataset/annotations/test_annotations.json --vidor_anno_path_base vidor/validation_annotation/validation --vidor_path_base vidor/validation/video --output vidstg_test.json 
 ```
 
 ### Calculate the iou by using test datasets