marcelampc/d3net_depth_estimation

Dense Deep Depth Estimation Network (D3-Net) in PyTorch.

d3net_depth_estimation's Issues

loss function

I want to train the model to predict blur image depth, so I wonder the loss function when you train your model ? thank you!

ask for help

How to use the code generate_blurred_dataset.m?

the interval of inputs and ground truth

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 the way, are your input images in the interval [0, 1] or [0, 255]? I am looking forward for your answers. Thank you!

visualizing images during training

Hi thanks for the great work.
I noticed that the "[visualizer.py]" file provides image visualizing during training and evaluation, can you provide an example how to use this visualizing function?

Thanks

What's the meaning of min_mean in generate_blurred_dataset.m?

d3net_depth_estimation/matlab/generate_blurred_dataset.m

Line 34 in 413dca7

if mean2(im) <= min_mean

Should line 34 be mean2(im) > min_mean?

matlab code

In the refoc_image.m, the line 70 Mk=Mk.*(1-conv2(Ad(:,:,k-1),PSF{k-1},'same')), but in your paper, the Mk is from the k + 1 layer to K layer. I wonder why it is different from your paper.

depth map style

Hello, thanks for your work, which style for depth you are used in your paper?
style1 : 0 for near and 255 for far
style2: 0 for far and 255 for near

is it 1 or 2 ??? and it is the same style in your MATLAB code??

Test issues

Hi, thanks for the great work.
I've trained your network with my dataset, and wish to test its accuracy, however the following error occured.

But I failed to find "last_common_layer.0" name issues in the original code. Hope you can give some help.

running the network with pytorch

hi, thanks for the work!
I was trying to run the network with pytorch with "python main.py --dataroot [root] --name [testdata]", but failed to get any progress.
Do training datasets need to be downloaded and added to the file manually? Is it convenient to have any pretained network parameters open?

Test file error

Run the train_nyu_d file to finish the training and then test_nyu_d.train_nyu_d.After completing the training by running the sh file, the test_nyu_d file was executed to check the result, but an error similar to the attached image occurred. I don't think the model structure fits, can you help me?

about synthetic dataset

hello, thanks for your work, I found the code you provided cannot produce the correct synthetic dataset in the paper, the pixels are blurred everywhere, is there anything wrong?

Learned weights

Hello!

First of all, thanks a lot for your very nice work! Do you plan on releasing the trained weights of the network? So that I can test it and obtain results out-of-the-box, without the need of training it myself (I don't have that much GPU power).

Thanks in advance and kind regards!
Lorenzo

What's the parameter.m for your paper?

Hi,

What's the parameter.m for you paper? I can't correspond your variable name with the camera parameters. Would you please give parameters used in paper for NYU? Thank you!