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RemoveHazeで行っているヘイズ除去処理をCUDAで実装する。入出力画像はGpuMatで管理する。
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Hi Everyone,
I love NiiVue because of the extremely fast rendering and great volume rendering functionality.
The other day, I gave a masterclass on WebGL at VIZBI https://vizbi.org/2022/Mastercl…
haehn updated
2 years ago
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In my knowledge, the input in transformer must be fixed resolution, in test time, often take patch overlap method to test image in transformer.in your code, I want to know how the method you take, and…
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DarkChannelPriorクラスで行う、Dark channel画像の計算処理のGPU版を実装する。入出力画像はGpuMatで管理する。
計算処理はOpenCVの関数を用いてもよいし、CUDAでスクラッチ実装してもよい。実行速度の速い方を採用する。
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can you please provide the train file, i am also working in this direction, thanks if you can help
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本リポジトリをGitLabからGitHubに移行する際に行った操作をまとめていく。
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In GitLab by @ken1714 on Nov 23, 2021, 10:31
- 入力: オリジナル画像
- 出力: ヘイズ除去後の画像
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Thank you for your excellent job about the real image dehazing. I am very insterested in this research. However, I meet an error when I train the network with finetune.py. The error is as follows: "…
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``
d_sn = (stop_gradient(neg_i) - student_vgg[i]).abs() # [8, 16, n_feats, w, h]
``
这么写的话分母d_sn岂不是变成了ground-truth和负例的差值,而不是文章中正例和负例的差值
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I have manually downloaded the maps dataset,
and ran the train command in Anaconda3 prompt (Windows 10 64bit).
I get the following error -
`Traceback (most recent call last):
File "train.py",…