How to train EQL v2 with my imbalance dataset( coco_type format)?

[lyon-v]

Hi, I want to train EQL v2 with my dataset ,not LVIS . And my dataset is not balance. I modify the dataset path in config. And Where should I modify in the code.

[kwuliang]

Traceback (most recent call last):
File "/home/wuliang/cvpro/eqlv2-master/mmdet/datasets/openimage.py", line 106, in evaluate
from .openimage_eval import OpenimageEval
ModuleNotFoundError: No module named 'mmdet.datasets.openimage_eval'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "./tools/train.py", line 153, in
main()
File "./tools/train.py", line 149, in main
meta=meta)
File "/home/wuliang/cvpro/eqlv2-master/mmdet/apis/train.py", line 143, in train_detector
runner.run(data_loaders, cfg.workflow, cfg.total_epochs)
File "/home/wuliang/anaconda3/envs/mmlab6/lib/python3.7/site-packages/mmcv/runner/epoch_based_runner.py", line 122, in run
epoch_runner(data_loaders[i], **kwargs)
File "/home/wuliang/anaconda3/envs/mmlab6/lib/python3.7/site-packages/mmcv/runner/epoch_based_runner.py", line 46, in train
self.call_hook('after_train_epoch')
File "/home/wuliang/anaconda3/envs/mmlab6/lib/python3.7/site-packages/mmcv/runner/base_runner.py", line 298, in call_hook
getattr(hook, fn_name)(self)
File "/home/wuliang/cvpro/eqlv2-master/mmdet/core/evaluation/eval_hooks.py", line 74, in after_train_epoch
self.evaluate(runner, results)
File "/home/wuliang/cvpro/eqlv2-master/mmdet/core/evaluation/eval_hooks.py", line 32, in evaluate
results, logger=runner.logger, **self.eval_kwargs)
File "/home/wuliang/cvpro/eqlv2-master/mmdet/datasets/openimage.py", line 108, in evaluate
raise ImportError('Please follow config/lvis/README.md to '
ImportError: Please follow config/lvis/README.md to install open-mmlab forked lvis first.

[tztztztztz]

Since the format is coco-like, I recommend creating a new class inherited from LVIS.

@DATASETS.register_module()
class YourDataset(LVISDataset):
    CLASSES = ['name1', 'name2']

[kwuliang]

thanks.