We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
您好,非常感激您的開源分享,你的Github程式非常實用! 還在學習中。 想問我製作自己的數據集(640x480圖片),訓練ICNet模型,但執行test.py分割出來的結果"顆粒感很重",是正常的嗎? (數據有一張原圖,對應一張黑色的標籤圖(像素0,1,2,3...)存放)
看到這裡的輸出resize是120x160,這個能改大嗎?
o_shape = Model(inputs, o).output_shape outputHeight = o_shape[1] #輸出120 outputWidth = o_shape[2] #輸出160 print("o_shape=",o_shape[1]) print("o_shape=",o_shape[2])
The text was updated successfully, but these errors were encountered:
颗粒感很重的原因就是因为最后直接插值了4倍,如果插值之后再接一个卷积可能会得到缓解。
Sorry, something went wrong.
No branches or pull requests
您好,非常感激您的開源分享,你的Github程式非常實用! 還在學習中。
想問我製作自己的數據集(640x480圖片),訓練ICNet模型,但執行test.py分割出來的結果"顆粒感很重",是正常的嗎?
(數據有一張原圖,對應一張黑色的標籤圖(像素0,1,2,3...)存放)
看到這裡的輸出resize是120x160,這個能改大嗎?
The text was updated successfully, but these errors were encountered: