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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,
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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Hey bro, I am currently doing a project about monocular depth estimation. I am thinking about for this method, in your preprocessing step, did you use the NYU v2 labelled dataset?
On their website …
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Hello All !
I need to know the depth value(in meters) from NYU_V2 dataset, so how can i get the color scale for NYU_V2 dataset?
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My depth ground truth are true depth values (from 0m to 10m), but the outputs of tanh are within [-1, 1], I notice your dataset is also NYU v2. So I want to ask what is your depth ground truth? By th…
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no modify to origin code
use create_nyu_h5.py to convert nyu_depth_v2_labeled.mat
and use this small dataset to train
after 80 epoch, I get
:
File "train.py", line 286, in
x_hat, tran_hat, atp_hat, dehaze21 = netG(input)
File "/home/gavin/.local/lib/python3.5/site-packages/torch/nn/modules/mod…
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When using the option `also_save_raw_predictions = True` option to output the inferred semantic segmentation maps, the resulting maps have different names than the original images. How can I fix that?…
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How to use the code generate_blurred_dataset.m?