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Hi @alexgkendall
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I trained segnet(non basic non Bayesian version ) on the Cityscapes dataset(44gb of 19k+ images and annotations that need to be converted to segnet annotations). However training i…
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为什么我在2080ti上能够复现成功且成功使用Tensorrt进行推理。但是我把模型放到309…
djl00 updated
5 months ago
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Dear @alexgkendall,
I tried to re-generate CamVid results presented on SegNet's website. I didn't change any parameters in order to get the results given on the website. I only followed the scripts…
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I followed the [SegNet Tutorial](http://mi.eng.cam.ac.uk/projects/segnet/tutorial.html) and trained SegNet (not SegNet-Basic) on KITTI images (centre-cropped to 360x480) rather than CamVid.
The accur…
jboys updated
8 years ago
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Hello,
I appreciate for your kind responses for every questions!
now I'm working on the implementations of all hardnet models, but I couldn't find the details of the **"first_channel" and "ch_list"…
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How can I achieve the human parsing task,Do you have any instructions?
xddlj updated
2 years ago
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Thank you for your code for segmentation of CamVid data.
I ran the code without any change (10 epochs, Adam optimizer).
My question is,
How can I visualize the predicted image with 12 classes …
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Hello, it is very good one to start with ResNet. I also want to test it in the Cifar10 dataset. In the `./prototxt/ResNet-50-deploy.prototxt` file, you used
`source: "/home/alisc/group/MengLin/trai…
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您好,对您这个工作非常的感兴趣,但是对于这里面的randomscale有些疑问,对于cityscapes你paper写的是(0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1.0, 1.125, 1.25, 1.375, 1.5),我想知道一下为什么会选择0.125,0.25.。。。。。0.625等着吗小的一些尺度?但是对于camVID的尺度就相对大一些,…