我正在尝试使用分段模型，但无法修复此错误。我已经搜索过这个特定的，但找不到答案。我正在使用 pycharm 并且此错误链接到此特定代码行 BACKBONE = 'resnet34'

model1 = sm.Unet(BACKBONE, weights=None,
                 encoder_weights='imagenet',
                 classes=num_classes,
                 activation='softmax',
                 decoder_block_type = 'upsampling') 

这也是第 83 个。我在文档中搜索，显然 tensorflow keras 等的版本满足要求。我真的不知道该怎么做，因为我真的试图以多种组合方式安装和卸载所有内容以便获得这段代码工作。谢谢大家的帮助和时间！下面是完整的错误，希望它可以帮助你！

    `Traceback (most recent call last):
      File "C:UsersGiuliaPycharmProjectsmulticlass_newmain.py", line 83, in <module>
        model1 = sm.Unet('resnet34', weights=None,
      File "C:UsersGiuliaPycharmProjectsmulticlass_newvenvlibsite- 
   packagessegmentation_models__init__.py", line 34, in wrapper
        return func(*args, **kwargs)
      File "C:UsersGiuliaPycharmProjectsmulticlass_newvenvlibsite- 
   packagessegmentation_modelsmodelsunet.py", line 221, in Unet
        backbone = Backbones.get_backbone(
      File "C:UsersGiuliaPycharmProjectsmulticlass_newvenvlibsite- 
   packagessegmentation_modelsbackbonesbackbones_factory.py", line 103, in get_backbone
        model = model_fn(*args, **kwargs)
      File "C:UsersGiuliaPycharmProjectsmulticlass_newvenvlibsite- 
   packagesclassification_modelsmodels_factory.py", line 78, in wrapper
        return func(*args, **new_kwargs)
      File "C:UsersGiuliaPycharmProjectsmulticlass_newvenvlibsite- 
   packagesclassification_modelsmodelsresnet.py", line 314, in ResNet34
        return ResNet(
      File "C:UsersGiuliaPycharmProjectsmulticlass_newvenvlibsite- 
   packagesclassification_modelsmodelsresnet.py", line 280, in ResNet
        load_model_weights(model, model_params.model_name,
      File "C:UsersGiuliaPycharmProjectsmulticlass_newvenvlibsite- 
   packagesclassification_modelsweights.py", line 25, in load_model_weights
        weights_path = keras_utils.get_file(
    AttributeError: module 'keras.utils' has no attribute 'get_file'

回答

import segmentation_models as sm

sm.set_framework('tf.keras')

sm.framework()