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Hi, I have a question about [label weight of NYU Depth V2](https://github.com/tum-vision/fusenet/blob/master/fusenet/data/nyuv2_40class_weight.txt). I can only calculate the distribution of each categ…
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is there a way to parse a larger image to the net? i am able to successfully load a png image in your code, and the depth info in an exr file, but i want to get a larger image as output. i tried chang…
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Hi I just want to know if you make any modification for the file process_raw.m or other file in the official Toolbox for the NYU dataset. Im getting an error about the get_synched_framed, its seem tha…
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Hi,
Thanks for sharing your code.
I'm trying to train on KITTI and after reading all the preceding questions and answers I still have two questions:
1. The original depth data in KITTI is 16 bit.…
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Hi!
First of all thank you for sharing your findings. I ran the single image test and got output in "npy" format. Can you please provide details about the scale of the output and whether it give real…
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Hi,
I am trying to replicate the output of your network, I have created my training code based on the details your provide in the paper (data augmentation, learning rate init. 0.01, pretrained resn…
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Hello,
I am very interested in the work of your paper, this is a great job. Are you considering opening your training code? I want to know some of the details.
Thank you.
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Hi,
Thank you for your excellent work! I have a question about the `nyuv2_frq`.
I calculate the distribution of each category in the training set of NYU Depth V2, it looks like this:
```
[0.236606…
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Hi,
Great work!! I have some questions. Firstly, I wonder how did you generate training ground truth on kitti? Can you please provide a link? Secondly I noticed that you set different learning rate…
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At GOC 2019b in Berkeley, we briefly discussed providing these kinds of reactions with either more specific types, e.g. something along the lines of 'protein complex disassembly' for dissociation and,…
goodb updated
4 years ago