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related paper
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|We focus on the challenging task of realtime semantic segmentation in this paper. It finds many practical applications and yet is with fundamental difficulty of reducing…
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http://www.sohu.com/a/155907339_610300
语义分割中的深度学习方法全解:从FCN、SegNet到各版本DeepLab
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First of all good job on MTCNN GPU version!
why the image size need to configure up front in the constructor?
is there a resin why you comment the mtcnn::~mtcnn()?
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Thanks for the repo. CRAFT works really well with the test data I have. Without using RefineNet, we are able to generate word-level texts, which is what we need before feeding the texts into the Recog…
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I trained the eve model with eve data, ran eval_codalab.py and got pkl file as a result. I also ran eval_codalabl.py and got pkl file from the pretrained model weights(from https://github.com/swook/EV…
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How do we actually train a Noise Conditioned Score Estimator?
The most straightforward / naïve way would be to append one more dimension to the input of the network. (do `MLP(4, 3)` instead of `ML…
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Thanks for creating this implementation. Do you have any plans to implement training of the context module (to allow producing full resolution segmentation maps)?
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我对两张图像进行插帧,在fastmode设置为false后,生成的结果不佳,请问是什么原因导致的。
![img1](https://user-images.githubusercontent.com/105182113/231072149-694a55a3-b46c-44dd-9073-f053bdf97fd9.png)
同时在output中保存的原始图像img0与img1质量有些退化,是什么…
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What would be expected inference time on a jetson nano? With 4 to 5 different depth levels.
Thanks
Sieuwe