Comments (4)
Hi!
1. In the paper, you mentioned 'Detailed network structure of neural projector and the training settings are provided in the supplementary file.', but I can not fild the supplementary file. Would you like to tell me where is the supplementary file? 2. What's more, I tried to train my own dataset with your code for comparison, but I don't know the original file structure so I got some problems. Could you tell me the structure of the original file and the format of the images in the folder?
Thank you very much!
Hi!
I want follow EMLight's work, but i can't use LavalInDoor dataset, because professor Jean-François Lalonde told me that their server was broke down since bout 2 months ago. I wonder that what other dataset you want to use to train?
Thanks!
from emlight.
Hi!
1. In the paper, you mentioned 'Detailed network structure of neural projector and the training settings are provided in the supplementary file.', but I can not fild the supplementary file. Would you like to tell me where is the supplementary file? 2. What's more, I tried to train my own dataset with your code for comparison, but I don't know the original file structure so I got some problems. Could you tell me the structure of the original file and the format of the images in the folder?
Thank you very much!
Hi!
I want follow EMLight's work, but i can't use LavalInDoor dataset, because professor Jean-François Lalonde told me that their server was broke down since bout 2 months ago. I wonder that what other dataset you want to use to train?
Thanks!
Hi!
I wanted to train my own dataset to compare with EMLight's work, but I got some problems about the input file structure in the training and testing stage. And I have not solve these problems now...
from emlight.
Hi!
1. In the paper, you mentioned 'Detailed network structure of neural projector and the training settings are provided in the supplementary file.', but I can not fild the supplementary file. Would you like to tell me where is the supplementary file? 2. What's more, I tried to train my own dataset with your code for comparison, but I don't know the original file structure so I got some problems. Could you tell me the structure of the original file and the format of the images in the folder?
Thank you very much!
Hi!
I want follow EMLight's work, but i can't use LavalInDoor dataset, because professor Jean-François Lalonde told me that their server was broke down since bout 2 months ago. I wonder that what other dataset you want to use to train?
Thanks!Hi! I wanted to train my own dataset to compare with EMLight's work, but I got some problems about the input file structure in the training and testing stage. And I have not solve these problems now...
Hi!
You seem to be a chinese student, so am i. I know something about the input file structure, can i get your wechat?
I have put my email on my profile.
Thanks!
from emlight.
For data structure,
EMLight/RegressionNetwork/data.py
Line 23 in 025f83d
crop_dir is the folder of cropped hdr images of a local region.
gt_dir is the processed ground truth with distribution_representation.py in /RegressionNetwork/representation
from emlight.
Related Issues (20)
- How to balance the size of the input image? HOT 7
- How to evaluate on the Virtual Object Relighting (VOR) dataset HOT 2
- How to make the luminance of HDR datasets in the same scale? HOT 2
- How to reconstruct the environment map with needlets coefficients?
- explanatory video about the paper
- Some error when I run distribution_representation.py HOT 5
- Why delete the sigmoid in the output layers? HOT 3
- Question about the train/test split HOT 2
- evaluation metrix HOT 2
- depth information HOT 3
- How to reconstruct environment map? HOT 3
- Why tone Fov image ? HOT 1
- Generator network weights
- how to render the three different material sphere with the hdr lighting HOT 1
- Running inference only? HOT 1
- three spheres with different materials
- Generate the Gaussian map from the lighting distribution, intensity, and ambient HOT 1
- why divide intensity by 500 in data.py?
- Question about Sparse Needles (ICCV 2021).
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