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View Code? Open in Web Editor NEWABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting
License: Other
ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting
License: Other
model_rects.pth link error,thks
Thank you for publishing the source code of the interesting research.
I would like to run your trained models, but the links for the Chinese models seems to be incorrect in the readme.
They are the same as the links for the English models.
Could you correct the links?
when i run the demo command, an exception occurred
python demo/demo.py \
--config-file configs/ABINet/ReCTS.yaml \
--input datasets/ReCTS/ReCTS_test_images/* \
--output output/abinet/rects-vis \
--opts MODEL.WEIGHTS ./model_rects.pth
[05/22 09:28:11 detectron2]: Arguments: Namespace(confidence_threshold=0.3, config_file='configs/ABINet/ReCTS.yaml', input=['datasets/ReCTS/ReCTS_test_images/*'], opts=['MODEL.WEIGHTS', './model_rects.pth'], output='output/abinet/rects-vis', video_input=None, webcam=False)
WARNING [05/22 09:28:11 d2.config.compat]: Config 'configs/ABINet/ReCTS.yaml' has no VERSION. Assuming it to be compatible with latest v2.
Traceback (most recent call last):
File "demo/demo.py", line 73, in <module>
cfg = setup_cfg(args)
File "demo/demo.py", line 23, in setup_cfg
cfg.merge_from_file(args.config_file)
File "/opt/conda/lib/python3.8/site-packages/detectron2/config/config.py", line 54, in merge_from_file
self.merge_from_other_cfg(loaded_cfg)
File "/opt/conda/lib/python3.8/site-packages/fvcore/common/config.py", line 132, in merge_from_other_cfg
return super().merge_from_other_cfg(cfg_other)
File "/opt/conda/lib/python3.8/site-packages/yacs/config.py", line 217, in merge_from_other_cfg
_merge_a_into_b(cfg_other, self, self, [])
File "/opt/conda/lib/python3.8/site-packages/yacs/config.py", line 478, in _merge_a_into_b
_merge_a_into_b(v, b[k], root, key_list + [k])
File "/opt/conda/lib/python3.8/site-packages/yacs/config.py", line 491, in _merge_a_into_b
raise KeyError("Non-existent config key: {}".format(full_key))
KeyError: 'Non-existent config key: MODEL.ABINET'
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