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dorn's Issues

Code reliability

Hey there,

Thanks for your work. Does the code works as expected?

About the result of the code

Hi, I trained your code from strach, but the validation result seems not good.

<style> </style>
ย  Dataset cap Delta 1 Delta2 Delta3 Abs rel aqua rel rmse rmse log
DORN(paper result) test set cap 80 0.932 0.984 0.994 0.072 0.307 2.727 0.12
DORN(coder result) val set cap 80 0.446 0.576 0.667 4.532 62.5 8.82 1.14

Your code use both image_02 and image_03, but the original paper seems only use one side of the camera, is this right?

Please tell me does the vliad result make sense?
Or I miss using some part of your code?
Or like NYU dataset, I need to do some processing for the downloaded data?

The KITTI data downloaded from KITTI/depth/depth_prediction

Thanks very much!

Pretrained weight not available

Hello, your implemention for Dorn on pytorch is very useful. While I can't train it, could you please provide the weight of your resnet?

The location of your code is in: DORN/model/resnet.py line:123
if pretrained: saved_state_dict = torch.load('/datasets/KITTI/depth_prediction/pretrained/resnet101-imagenet.pth', map_location="cpu")

Without this weight, the performance may not good, thanks very much.

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