【开源实习】基于MindSpore实现unet语义分割案例优化#41
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数据集的链接打不开,http://brainiac2.mit.edu/isbi_challenge/ |
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老师,它的这个是原来的,我是直接在原来的data目录下去下载的,原始的数据集地址就是打不开的,我是需要修改并删除嘛
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主题: Re: [mindspore-lab/applications] 【开源实习】基于MindSpore实现unet语义分割案例优化 (PR #41)
moyu026 left a comment (mindspore-lab/applications#41)
数据集的链接打不开,http://brainiac2.mit.edu/isbi_challenge/
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MindSpore 2.7.1版本可以运行 |
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这个修改下notebook中的链接吧,直接从本地加载数据 |
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好的老师,已经修改完成,请审查
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主题: Re: [mindspore-lab/applications] 【开源实习】基于MindSpore实现unet语义分割案例优化 (PR #41)
xing-yiren left a comment (mindspore-lab/applications#41)
老师,它的这个是原来的,我是直接在原来的data目录下去下载的,原始的数据集地址就是打不开的,我是需要修改并删除嘛
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------------------ 原始邮件 ------------------ 发件人: @.>; 发送时间: 2026年1月19日(星期一) 下午3:24 收件人: @.>; 抄送: @.>; @.>; 主题: Re: [mindspore-lab/applications] 【开源实习】基于MindSpore实现unet语义分割案例优化 (PR #41) moyu026 left a comment (mindspore-lab/applications#41) 数据集的链接打不开,http://brainiac2.mit.edu/isbi_challenge/ — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>
这个修改下notebook中的链接吧,直接从本地加载数据
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创建测试集test_dataset = create_dataset("datasets/ISBI/test/", 224, 1, shuffle=False, have_mask=False) |
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好的,老师,已经在测试代码那里添加说明,需要自己将所测试的数据放在datasets/ISBI/test/目录下,请老师核查
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主题: Re: [mindspore-lab/applications] 【开源实习】基于MindSpore实现unet语义分割案例优化 (PR #41)
moyu026 left a comment (mindspore-lab/applications#41)
创建测试集
test_dataset = create_dataset("datasets/ISBI/test/", 224, 1, shuffle=False, have_mask=False)
这里不会自动创建测试集,需要自己创建测试集,是不是可以改一下或者说明一下
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老师,我以前fork的是老版本的,现在已重新提交PR,并已按照您的要求进行了休整
,下面是新的pr连接
【开源实习】基于MindSpore实现unet语义分割案例优化 #1807 by zaixiaozhao · Pull Request #48 · mindspore-lab/applications
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发送时间: 2026年3月17日(星期二) 中午11:52
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主题: Re: [mindspore-lab/applications] 【开源实习】基于MindSpore实现unet语义分割案例优化 (PR #41)
DuangZ-GR left a comment (mindspore-lab/applications#41)
image.png (view on web) 案例应该提交到dev分支的cv目录下的unet文件夹中(对命名为train_unet_segmentation.ipynb的文件进行更新),同时在README.md文件中的Application List中进行更新,附带模型名称,跳转链接和描述,命名应该规范为train_unet_segmentation.ipynb
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任务描述
基于MindSpore 2.7.1版本+动态图+mint接口实现U-Net模型的语义分割案例整改,需包含模型训练+推理的完整流程
修改内容
将原先基于mindspore-cpu修改维mindspore-Ascend,并采用动态图+mint接口实现模型训练+推理