KeyError: 'Non-existent config key: MODEL.TEXTFUSENET_MUTIL_PATH_FUSE_ON' about textfusenet HOT 8 OPEN

it doesn't matter with package version.
In file demo/icdar2013_detection.py, inser a line into function setup_cfg, and then it is like this.

def setup_cfg(args):
# load config from file and command-line arguments
cfg = get_cfg()
cfg.set_new_allowed(True)
cfg.merge_from_file(args.config_file)
cfg.merge_from_list(args.opts)
# Set model
cfg.MODEL.WEIGHTS = args.weights
# Set score_threshold for builtin models
cfg.MODEL.RETINANET.SCORE_THRESH_TEST = args.confidence_threshold
cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = args.confidence_threshold
cfg.MODEL.PANOPTIC_FPN.COMBINE.INSTANCES_CONFIDENCE_THRESH = args.confidence_threshold
cfg.freeze()
return cfg

python demo/icdar2013_detection.py. it works

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Adding cfg.set_new_allowed(True) solved the issue.

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same issue anyone solved?

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Please check the KEY:
TEXTFUSENET_MUTIL_PATH_FUSE_ON: True in file https://github.com/ying09/TextFuseNet/blob/master/configs/ocr/icdar2015_101_FPN.yaml

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It is true but issue happened to me. I upgraded torchvision it doesn't happen to me now, don't know why. But another issue happens.
_C.cpython-37m-x86_64-linux-gnu.so: undefined symbol: THPVariableClass

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I think it solved, maybe it comes from pytorch version or torchvision, or other librarities install version conflicts, I deleted my conda virtual and remade it, and solved.

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@Hiteshsaai Yes. This probelm is due to wrong compilation.

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Hi @skeka @Real-YeJ , I am facing the same issue. Can you share what pytorch, torchvision and detectron2 version youre using?
Thank you (:

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