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Code for iccv2019 paper "A Neural Network for Detailed Human Depth Estimation from a Single Image"

License: GNU General Public License v3.0

Python 99.20% Shell 0.07% HTML 0.73%

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deep_human's Issues

About dataset content

Which part of the dataset does bg_dataset refer to in params.py?
bg_dir = '/local-scratch2/normal_dataset/bg_dataset'
Thx.

About the normal model

This model download url only have depth model, no normal model, Can you re-upload normal model?
thanks!

model link

The model link is invalid. Can you upload another copy?

I failed to run demp.py because the data folder lost some *.npy file.

Traceback (most recent call last):
File "demo.py", line 154, in
depth_gt = np.load(params.test_dir + '/' + index + '_depth.npy')
File "/home/wuchao/anaconda3/envs/deep_human/lib/python3.5/site-packages/numpy/lib/npyio.py", line 384, in load
fid = open(file, "rb")
FileNotFoundError: [Errno 2] No such file or directory: 'data/0044_depth.npy'

About absolute depth

Hi, I wonder if your model can estimate the absolute depth rather than relative depth?

training data depth map

Hey,
Thanks for your sharing, good job!
I found in the training dataset you provide, the folder 'old/3/', the depth info is in the format '.npy', the maxium depth is often 0.6, and the minimum number is negtive. the visualiztion of it shows it is very coarse in the part of torso. However, in the demo data, the maxium depth is bigger than 2, and all numbers aer positive. The visulization result is also finer than the train data.

Hope for your kindly explanation.

Test data

Thanks for sharing your nice work!

I wonder if you have a plan to release your test data.

Require two saved models to run the demo

Hi, thanks for sharing your great work! When I run the demo script, it requires to restore two saved models, depth and normal. In your readme instructions, one link for is provided, which I am guessing is a saved model for one of the two. Can you please tell me which one it is and how I can run the demo? Please correct me if I am wrong. Thank you.

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