Evaluation on COCO Val 2017 with COCO annotations

[ztc20011103]

Can I use dist_test.sh to evaluate the model on COCO Val 2017 by changing the class_text_path into coco_class_text.json and ann_file into instances_val2017.json in the model config file? I got KeyError: 'neg_category_ids' when I have a try. It seems that lvis/eval.py is adopted to do evaluation and I have no idea how to integrate COCO/eval.py
12/09 04:50:31 - mmengine - INFO - Evaluating bbox...
[rank0]: Traceback (most recent call last):
[rank0]: File "/mnt/c/Users/10549/YOLO-World/./tools/test.py", line 150, in
[rank0]: main()
[rank0]: File "/mnt/c/Users/10549/YOLO-World/./tools/test.py", line 146, in main
[rank0]: runner.test()
[rank0]: File "/home/ztc/anaconda3/envs/yolo/lib/python3.9/site-packages/mmengine/runner/runner.py", line 1823, in test
[rank0]: metrics = self.test_loop.run() # type: ignore
[rank0]: File "/home/ztc/anaconda3/envs/yolo/lib/python3.9/site-packages/mmengine/runner/loops.py", line 448, in run
[rank0]: metrics = self.evaluator.evaluate(len(self.dataloader.dataset))
[rank0]: File "/home/ztc/anaconda3/envs/yolo/lib/python3.9/site-packages/mmengine/evaluator/evaluator.py", line 79, in evaluate
[rank0]: _results = metric.evaluate(size)
[rank0]: File "/home/ztc/anaconda3/envs/yolo/lib/python3.9/site-packages/mmengine/evaluator/metric.py", line 133, in evaluate
[rank0]: _metrics = self.compute_metrics(results) # type: ignore
[rank0]: File "/home/ztc/anaconda3/envs/yolo/lib/python3.9/site-packages/mmdet/evaluation/metrics/lvis_metric.py", line 315, in compute_metrics
[rank0]: lvis_eval.evaluate()
[rank0]: File "/home/ztc/anaconda3/envs/yolo/lib/python3.9/site-packages/lvis/eval.py", line 130, in evaluate
[rank0]: self._prepare()
[rank0]: File "/home/ztc/anaconda3/envs/yolo/lib/python3.9/site-packages/lvis/eval.py", line 90, in _prepare
[rank0]: img_nl = {d["id"]: d["neg_category_ids"] for d in img_data}
[rank0]: File "/home/ztc/anaconda3/envs/yolo/lib/python3.9/site-packages/lvis/eval.py", line 90, in
[rank0]: img_nl = {d["id"]: d["neg_category_ids"] for d in img_data}
[rank0]: KeyError: 'neg_category_ids'