Train other datasets about universenet

[sure7018]

If I do not have the above modifications, an error will be reported:
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 5000/5000, 5.1 task/s, elapsed: 978s, ETA: 0s
Evaluating bbox...
Loading and preparing results...
The testing results of the whole dataset is empty.

[shinya7y]

Object instance annotations in COCO format should contain the area field.
Please modify your json files by calculating width * height to assign area.

the following errors

What do the errors mean?
Low AP and nan (loss: inf) may be caused by training instability (e.g., too high learning rate).

I recommend using simple detectors (e.g., retinanet_r50_fpn_1x_coco.py) to debug your dataset before trying recent detectors.
Especially, detectors not supported in the original mmdetection have not been verified by many users.

[sure7018]

Hello, if the dataset I use is marked in Chinese, how can I modify the dataset to read Chinese text?

[shinya7y]

I haven't tried category names written in Chinese.
Are there any errors?

[sure7018]

I just changed Chinese into English, and found or reported the same error, as shown below. Should it be the problem of my data set? What do you think?

2021-10-09 16:31:16,491 - mmdet - INFO - Saving checkpoint at 1 epochs
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 7320/7313, 65.4 task/s, elapsed: 112s, ETA: 0s

2021-10-09 16:37:00,650 - mmdet - INFO - Evaluating bbox...
Loading and preparing results...
DONE (t=0.52s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type bbox
Traceback (most recent call last):
File "tools/train.py", line 189, in
main()
File "tools/train.py", line 185, in main
meta=meta)
File "/root/lws/UniverseNet/mmdet/apis/train.py", line 212, in train_detector
runner.run(data_loaders, cfg.workflow)
File "/opt/conda/lib/python3.7/site-packages/mmcv/runner/epoch_based_runner.py", line 127, in run
epoch_runner(data_loaders[i], **kwargs)
File "/opt/conda/lib/python3.7/site-packages/mmcv/runner/epoch_based_runner.py", line 54, in train
self.call_hook('after_train_epoch')
File "/opt/conda/lib/python3.7/site-packages/mmcv/runner/base_runner.py", line 307, in call_hook
getattr(hook, fn_name)(self)
File "/opt/conda/lib/python3.7/site-packages/mmcv/runner/hooks/evaluation.py", line 237, in after_train_epoch
self._do_evaluate(runner)
File "/root/lws/UniverseNet/mmdet/core/evaluation/eval_hooks.py", line 58, in _do_evaluate
key_score = self.evaluate(runner, results)
File "/opt/conda/lib/python3.7/site-packages/mmcv/runner/hooks/evaluation.py", line 325, in evaluate
results, logger=runner.logger, **self.eval_kwargs)
File "/root/lws/UniverseNet/mmdet/datasets/coco.py", line 497, in evaluate
cocoEval.evaluate()
File "/opt/conda/lib/python3.7/site-packages/pycocotools/cocoeval.py", line 149, in evaluate
for imgId in p.imgIds
File "/opt/conda/lib/python3.7/site-packages/pycocotools/cocoeval.py", line 150, in
for catId in catIds}
File "/opt/conda/lib/python3.7/site-packages/pycocotools/cocoeval.py", line 188, in computeIoU
iscrowd = [int(o['iscrowd']) for o in gt]
File "/opt/conda/lib/python3.7/site-packages/pycocotools/cocoeval.py", line 188, in
iscrowd = [int(o['iscrowd']) for o in gt]
KeyError: 'iscrowd'
Traceback (most recent call last):
File "/opt/conda/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "/opt/conda/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/opt/conda/lib/python3.7/site-packages/torch/distributed/launch.py", line 261, in
main()
File "/opt/conda/lib/python3.7/site-packages/torch/distributed/launch.py", line 257, in main
cmd=cmd)
subprocess.CalledProcessError: Command '['/opt/conda/bin/python', '-u', 'tools/train.py', '--local_rank=7', 'configs/faster_rcnn/faster_rcnn_r101_fpn_1x_coco.py', '--launcher', 'pytorch']' returned non-zero exit status 1.
root@worker02:~/lws/UniverseNet#

[sure7018]

Thank you for your reply. I think I have found the error