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The path of the annotation is wrong in the tutorial (#907)
* Update config.md * Update config.md
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@ -48,7 +48,7 @@ model = dict(
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type='EncoderDecoder', # Name of segmentor
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pretrained='open-mmlab://resnet50_v1c', # The ImageNet pretrained backbone to be loaded
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backbone=dict(
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type='ResNetV1c', # The type of backbone. Please refer to mmseg/backbone/resnet.py for details.
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type='ResNetV1c', # The type of backbone. Please refer to mmseg/models/backbones/resnet.py for details.
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depth=50, # Depth of backbone. Normally 50, 101 are used.
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num_stages=4, # Number of stages of backbone.
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out_indices=(0, 1, 2, 3), # The index of output feature maps produced in each stages.
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@ -44,7 +44,7 @@ model = dict(
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type='EncoderDecoder', # 分割器(segmentor)的名字
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pretrained='open-mmlab://resnet50_v1c', # 将被加载的 ImageNet 预训练主干网络
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backbone=dict(
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type='ResNetV1c', # 主干网络的类别。 可用选项请参考 mmseg/backbone/resnet.py
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type='ResNetV1c', # 主干网络的类别。 可用选项请参考 mmseg/models/backbones/resnet.py
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depth=50, # 主干网络的深度。通常为 50 和 101。
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num_stages=4, # 主干网络状态(stages)的数目,这些状态产生的特征图作为后续的 head 的输入。
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out_indices=(0, 1, 2, 3), # 每个状态产生的特征图输出的索引。
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