运行predict出现ValueError: Dimension 0 in both shapes must be equal, but are 12800 and 800. Shapes are [12800,500] and [800,500]. for 'Assign_4' (op: 'Assign') with input shapes: [12800,500], [800,500].

[shakey-cuimiao]

[tslgithub]

我看看哈

[Chen65010445]

我在测试的时候也出现了这个问题 请问您解决了吗

[itismeJH]

测试的时候，图片的尺寸和训练的时候不一样

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------------------&nbsp;原始邮件&nbsp;------------------ 发件人: "tslgithub/image_class" <notifications@github.com&gt;; 发送时间:&nbsp;2020年8月14日(星期五) 下午2:21 收件人:&nbsp;"tslgithub/image_class"<image_class@noreply.github.com&gt;; 抄送:&nbsp;"Subscribed"<subscribed@noreply.github.com&gt;; 主题:&nbsp;Re: [tslgithub/image_class] 运行predict出现ValueError: Dimension 0 in both shapes must be equal, but are 12800 and 800. Shapes are [12800,500] and [800,500]. for 'Assign_4' (op: 'Assign') with input shapes: [12800,500], [800,500]. (#19) 我在测试的时候也出现了这个问题 请问您解决了吗 — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub, or unsubscribe.

[Chen65010445]

但是我的测试图片和训练图片是一样的呀，因为是用程序直接从一个数据集随机拆出来的 难道normal_size也要做对应设置么？