在yolox训练时，我将自制的数据集（coco格式）更改，模型测试时报错assert len(det_results) == len(annotations) AssertionError，求解🙏

[Kodapsy]

自制测试集原本有251张数据，后新增至300张。训练集也新增千张，在训练时并未出错。但后续用
python tools/voc_eval.py result/yolox/results10.pkl work_dirs/yolox_l_8x8_300e_coco/yolox_l_8x8_300e_coco.py
命令，voc_eval.py是我从网上找的，之前老版本的用voc标准计算map的代码。
后报错：assert len(det_results) == len(annotations) AssertionError
原文如下：
python tools/voc_eval.py result/yolox/results10.pkl work_dirs/yolox_l_8x8_300e_coco/yolox_l_8x8_300e_coco.py
/home/liu/anaconda3/envs/openmmlab/lib/python3.8/site-packages/mmcv/init.py:20: UserWarning: On January 1, 2023, MMCV will release v2.0.0, in which it will remove components related to the training process and add a data transformation module. In addition, it will rename the package names mmcv to mmcv-lite and mmcv-full to mmcv. See https://github.com/open-mmlab/mmcv/blob/master/docs/en/compatibility.md for more details.
warnings.warn(
loading annotations into memory...
Done (t=0.00s)
creating index...
index created!
300// 此行为我打印的len(det_results)
251// 此行为我打印的len(annotations)
CocoDataset Train dataset with number of images 251, and instance counts:
+-------------------+-------+-------------+-------+---------------+-------+------------------+-------+-------------+-------+
| category | count | category | count | category | count | category | count | category | count |
+-------------------+-------+-------------+-------+---------------+-------+------------------+-------+-------------+-------+
| 0 [diaoche] | 57 | 1 [tadiao] | 202 | 2 [fandouche] | 66 | 3 [bengche] | 3 | 4 [wajueji] | 146 |
| 5 [gonggongqiche] | 0 | 6 [tuituji] | 36 | 7 [qiche] | 0 | 8 [qitacheliang] | 15 | 9 [shanhuo] | 3 |
| | | | | | | | | | |
| 10 [yanwu] | 41 | | | | | | | | |
+-------------------+-------+-------------+-------+---------------+-------+------------------+-------+-------------+-------+
// 上述为我打印的datasets
Traceback (most recent call last):
File "tools/voc_eval.py", line 51, in
main()
File "tools/voc_eval.py", line 47, in main
voc_eval(args.result, test_dataset, args.iou_thr, args.nproc)
File "tools/voc_eval.py", line 20, in voc_eval
eval_map(
File "/home/liu/Gyb/mmdetection/mmdet/core/evaluation/mean_ap.py", line 579, in eval_map
assert len(det_results) == len(annotations)
AssertionError

请问在哪里将测试集数据修改为300张，每次测试时总是报这个错误，我并未找到有直接赋值测试集数量的地方，不知道是哪里出了问题，还请指教。（注，coco格式的test.json文件我已更新为测试集增加至300张后的。）