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`
import numpy as np
from PIL import Image
import torch
import h5py
import os
import numpy as np
import cv2
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
model =…
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I am trying to train the monodepth2 model on depth prediction dataset of kitti dataset. How can I write split files like eigen_zhou?
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So when I use the command line I get a depth map that is only 8 bit integer precision thus using it on a 2D plane for deformation in Blender I get stair stepping, for example:
![image](https://github…
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I would like to use FCRN for depth prediction, but I cant seem to find any models or framework around that.
I can see a lot of MM repository, but is depth prediction classified as MMSegmentation? or …
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Hi, just letting you know I've trained **Depth-Anything-Small** for **KITTI metric** prediction (10 epochs).
Feel free to re-use/finetune it or put it in the repo:
[Wandb run](https://wandb.ai/…
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As mentioned in #5,
The output of "layer_4" is NaN for **Line 71 in modules/geo_predictors/omnidata/modules/midas/dpt_depth.py**
_layer_1, layer_2, layer_3, layer_4 = forward_vit(self.pretrained, x)…
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In the prediction tab, there's specification for input : Input image whose depth will be estimated. The shorter dimension should be 518 pixels and the larger dimension should be a multiple of 14, but …
x4080 updated
1 month ago
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Firstly, thank you for providing an incredible method for depth prediction. I am trying to send my results to KITTI benchmark as well, but I have some doubts, do I need to submit disparity results or …
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Hi,
For my project we are running the niche model for an area that will be converted from agricultural use to a natural (non) fertilised landscape.
While there is tools for including current u…
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Dear authors,
Thanks for your nice work!
I am confused by the network output in the code. For the self-supervised training, are the outputs consist of 1 channel for disparity(inv depth) and 1 ch…