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Hi,
This post is just to discuss how to achieve metric depth estimation on a custom dataset, like I am using SCARED dataset. If anyone successfully fine-tune the model and achieve metric depth esti…
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仓库中的metric_depth模型怎么使用tensorrt进行推理?
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Since metric depth estimation means that the depth of the sky will not be realistic, is it possible to train Patchfusion for relative depth estimation to solve the sky issue?
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Thanks for your excellent work!
I have a problem that which dataset needs to apply scale-shift alignment during testing? I noticed that TABLE 1,2,3 (in Metric3D-v2 paper) are evaluated without scale-…
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Do drop a line when you find out the metrics for depth estimation, thanks very much!
_Originally posted by @gabriel-tjio in https://github.com/mihirp1998/Diffusion-TTA/issues/5#issuec…
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I use the indoor and outdoor models for inference on my dataset, but the real depth estimates are not accurate.
Now my dataset doesn't have GT and can't do finetune for models. Is there any way I c…
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Thanks for your great work!
I am curious that why you use 10 datasets for relative depth training and only 2 datasets for metric depth training? Have you tried using more datasets for metric depth …
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Thanks for the amazing work. Will we get training code?
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Thank you all for the really awesome code and research! I am interested in metric depth estimation on KITTI. The `metric_depth/evaluate.py` script drastically changes aspect ratio of input images of K…
eldar updated
5 months ago
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Hi @LiheYoung, I wanted to finetune the metric depth estimation code on my own dataset. I wanted to ask you about the number of pairs of rgb-depth required to get good metrics on metric depth estimati…