Generate validation dataset

VidSTG/read_annotation_multithread.py

@@ -1,4 +1,5 @@
 import json
+import argparse
 import os
 import cv2
 from tqdm import tqdm
@@ -10,8 +11,18 @@ vidor_path_base = 'vidor/train/video'
     
             
 def main():
+    parser = argparse.ArgumentParser()
+    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')
+    args = parser.parse_args()
     # vidor_data = read_json_file('vidor/train_annotation/training/0000/2401075277.json')
-    vidstg_data = read_json_file('VidSTG-Dataset/annotations/train_annotations.json')
+    global vidor_anno_path_base
+    global vidor_path_base
+    vidor_anno_path_base = args.vidor_anno_path_base
+    vidor_path_base = args.vidor_path_base
+    
+    vidstg_data = read_json_file(args.vidstg)
     
     all_results = []
         

run_vtimellm.md

@@ -12,6 +12,10 @@ python demo_gradio.py --model_base lmsys/vicuna-7b-v1.5 \
 
 ssh -t -t -i /home/datasets/xitong_id_rsa xitong@newton.ist.ucf.edu -L 7860:localhost:7860 ssh evc23 -L 7860:localhost:7860
 
+### generate validation datasets
+```
+python Shikra_V/VidSTG/read_annotation_multithread.py --vidstg VidSTG-Dataset/annotations/val_annotations.json --vidor-anno-path-base vidor/validation_annotation/validation --vidor-path-base vidor/validation/video   
+```
 
 ### Verify by using my trained stage2