Comments (7)
@1835969208 main_pretrain.py不需要指定upernet,Readme写的很清楚
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@1835969208 我懂了,你搞错文件夹了,upernet应该用encoder_decoder那个文件夹
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哦哦,万分感谢博主大人,对我这研0傻子太好了。另外还想问一下这encoder_decoder和end_to_end文件夹有什么区别吗
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@1835969208 encoder_decoder是传统卷积分割网络,unet,upernet这种的,end-to-end是纯transformer的,mask2former这种,在论文里边大部分的实验在encoder_decoder上完成
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Related Issues (20)
- 作者您好,请问vib那个模型的泛化性怎么样?如果用您的数据集训练后用到地物分割这种场景中精度会是怎样的? HOT 5
- 请问作者,在微调vit_b+rvsa+upernet模型的是,报错没有这个模块layer_decay_optimizer_constructor_vitae,看了代码好像没有这个文件? HOT 5
- Dataset Copyright HOT 1
- FileNotFoundError: [Errno 2] No such file or directory: '/root/dw/pretrn/sam_vit_h_4b8939.pth' HOT 7
- 有微调的预训练模型吗 HOT 2
- NotImplementedError HOT 3
- Can I use this code to get other dataset masks HOT 7
- main_sam_hbox_semantic.py对dota数据集 HOT 1
- custom dataset Question HOT 3
- 关于数据集尺寸的问题 HOT 2
- 微调权重 HOT 2
- ModuleNotFoundError: No module named 'DCNv3' HOT 1
- HRSC2016, DOTA, DIOR, FAIR1M数据集来源链接 HOT 6
- AttributeError: 'Namespace' object has no attribute 'background' HOT 2
- 分布式训练运行指令问题 HOT 1
- 分布式训练命令的问题 HOT 2
- main_finetune.py: error: unrecognized arguments: --load network HOT 4
- ZeroDivisionError: float division by zero HOT 8
- 关于用mmseg处理postsdam数据集的问题 HOT 5
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