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Thank you for your interesting work, we find it costs much time in genrerating depth map during each epoches, can we use other depth estimation pipline (such as segment anything v2) to generate offli…
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https://github.com/DepthAnything/Depth-Anything-V2/blob/31dc97708961675ce6b3a8d8ffa729170a4aa273/metric_depth/depth_anything_v2/dpt.py#L183
Would this line lead the model into relative depth predicti…
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Is it possible to use a predictive model for generating depth maps? If so, what are some recommended approaches or models that can effectively predict depth information from images or video sequences?
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### Model description
**Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.**
Depth Pro synthesizes high-resolution depth maps with unparalleled sharpness and high-frequency details. Th…
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Thank you for this great work and I was impressed by the design before you posted it on ArXiv (I noticed this on OpenReview and I am not a reviewer).
Is it possible to directly employ the monocula…
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In the paper there is a nice visualization of prediction depth. Prediction depth is defined in the paper is the first layer where the most likely token is equal to the token output.
![prediction d…
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I just noticed that negative input values will result in 0s in the `est_1cm` predictions. These errors are evident in the depth interval predictions too.
I wouldn't have noticed this if I hadn't ne…
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Hi there,
thank you for your great work! I have a question regarding the concept of using epipolar cost volume for the depth prediction.
It is reasonable to use this method when we consider the…
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Hi, in the hf version, the code is:
`from transformers import AutoImageProcessor, AutoModelForDepthEstimation
import torch
import numpy as np
from PIL import Image
import requests
url = "htt…
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Can someone provide detailed steps?