ddrg 文本检测算法，导出时报错

[zgsxwsdxg]

具体信息如下：
python tools/export_model.py -c configs/det/det_r50_drrg_ctw.yml -o Global.pretrained_model="./output/det_r50_drrg_ctw/best_model/model" Global.save_inference_dir="./output/det_r50_drrg_ctw_inference/"
W1026 09:54:44.481248 15640 gpu_resources.cc:119] Please NOTE: device: 0, GPU Compute Capability: 8.6, Driver API Version: 11.8, Runtime API Version: 11.8
W1026 09:54:44.481248 15640 gpu_resources.cc:149] device: 0, cuDNN Version: 8.9.
Compiling user custom op, it will cost a few seconds.....
[2023-10-26 09:54:46,360] [ INFO] dist.py:985 - running build
[2023-10-26 09:54:46,360] [ INFO] dist.py:985 - running build_ext
[2023/10/26 09:54:46] ppocr INFO: load pretrain successful from ./output/det_r50_drrg_ctw/best_model/model
Traceback (most recent call last):
File "D:\PaddleOCR\tools\export_model.py", line 289, in
main()
File "D:\PaddleOCR\tools\export_model.py", line 284, in main
export_single_model(
File "D:\PaddleOCR\tools\export_model.py", line 198, in export_single_model
paddle.jit.save(model, save_path)
File "D:\Anaconda3\envs\ppocr\lib\site-packages\decorator.py", line 232, in fun
return caller(func, *(extras + args), **kw)
File "D:\Anaconda3\envs\ppocr\lib\site-packages\paddle\fluid\wrapped_decorator.py", line 25, in impl
return wrapped_func(*args, **kwargs)
File "D:\Anaconda3\envs\ppocr\lib\site-packages\paddle\jit\api.py", line 752, in wrapper
func(layer, path, input_spec, **configs)
File "D:\Anaconda3\envs\ppocr\lib\site-packages\decorator.py", line 232, in fun
return caller(func, *(extras + args), **kw)
File "D:\Anaconda3\envs\ppocr\lib\site-packages\paddle\fluid\wrapped_decorator.py", line 25, in impl
return wrapped_func(*args, **kwargs)
File "D:\Anaconda3\envs\ppocr\lib\site-packages\paddle\fluid\dygraph\base.py", line 75, in impl
return func(*args, **kwargs)
File "D:\Anaconda3\envs\ppocr\lib\site-packages\paddle\jit\api.py", line 1043, in save
static_func.concrete_program_specify_input_spec(
File "D:\Anaconda3\envs\ppocr\lib\site-packages\paddle\jit\dy2static\program_translator.py", line 709, in concrete_program_specify_input_spec
concrete_program, _ = self.get_concrete_program(
File "D:\Anaconda3\envs\ppocr\lib\site-packages\paddle\jit\dy2static\program_translator.py", line 589, in get_concrete_program
concrete_program, partial_program_layer = self._program_cache[
File "D:\Anaconda3\envs\ppocr\lib\site-packages\paddle\jit\dy2static\program_translator.py", line 1249, in getitem
self._caches[item_id] = self._build_once(item)
File "D:\Anaconda3\envs\ppocr\lib\site-packages\paddle\jit\dy2static\program_translator.py", line 1193, in _build_once
concrete_program = ConcreteProgram.from_func_spec(
File "D:\Anaconda3\envs\ppocr\lib\site-packages\decorator.py", line 232, in fun
return caller(func, *(extras + args), **kw)
File "D:\Anaconda3\envs\ppocr\lib\site-packages\paddle\fluid\wrapped_decorator.py", line 25, in impl
return wrapped_func(*args, **kwargs)
File "D:\Anaconda3\envs\ppocr\lib\site-packages\paddle\fluid\dygraph\base.py", line 75, in impl
return func(*args, **kwargs)
File "D:\Anaconda3\envs\ppocr\lib\site-packages\paddle\jit\dy2static\program_translator.py", line 1070, in from_func_spec
error_data.raise_new_exception()
File "D:\Anaconda3\envs\ppocr\lib\site-packages\paddle\jit\dy2static\error.py", line 452, in raise_new_exception
raise new_exception from None
ValueError: In transformed code:

File "D:\PaddleOCR\ppocr\modeling\architectures\base_model.py", line 99, in forward
    if self.use_head:
File "D:\PaddleOCR\ppocr\modeling\architectures\base_model.py", line 100, in forward
    x = self.head(x, targets=data)
File "D:\PaddleOCR\ppocr\modeling\heads\det_drrg_head.py", line 131, in forward
    if self.training:
File "D:\PaddleOCR\ppocr\modeling\heads\det_drrg_head.py", line 143, in forward
    return self.single_test(inputs)
File "D:\PaddleOCR\ppocr\modeling\heads\det_drrg_head.py", line 165, in single_test
    none_flag, graph_data = self.graph_test(pred_maps, feat_maps)
File "D:\PaddleOCR\ppocr\modeling\heads\proposal_local_graph.py", line 381, in __call__
    comp_attribs, text_comps = self.propose_comps_and_attribs(
File "D:\PaddleOCR\ppocr\modeling\heads\proposal_local_graph.py", line 172, in propose_comps_and_attribs
    center_region_mask = fill_hole(center_region_mask)
File "D:\PaddleOCR\ppocr\modeling\heads\proposal_local_graph.py", line 36, in fill_hole
    def fill_hole(input_mask):
        h, w = input_mask.shape
        ~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE

        canvas = np.zeros((h + 2, w + 2),dtype=np.uint8)


ValueError: too many values to unpack (expected 2)

哪位同仁帮忙看看？谢谢！！！
期待回复！！！