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Hello @LiheYoung ,
I am trying to use the metric depth estimation pretrained model (vkitti) from Depth Anything V2 to convert it to ONNX and perform inference. (test : kitti dataset)
The relativ…
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I have recently implemented the depth estimation model described in your paper using the code provided in this repository. However, I have encountered a significant discrepancy between the performance…
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Hi, a question about depth estimation here:
In ` svd_interpolate_single_img_traj.py` from line 1034 to line 1046, it seems that you transform the *relativate depth* to *metric depth (absolute depth)*…
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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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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
8 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…
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Thank you for the awesome project!
I have a question, When you fine-tune the metric depth model, do you load the pre-trained depth anything v2 DINOv2 backbone and randomly initialize the DPT head(or …
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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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Sorry, I still have a question.
Why is it that for kinect_driller_seq and mustard0 in the demo, I did a mesh.apply_scale(scale_ratio), such as scale_ratio=1.5, and the entire estimate and tracking…
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Hello!
Thanks to your great job!
i try to make a custom data.
i already made color image, depth image using Orbbec Femto.
then i make mask image using XMem.
But, BundleSDF doesn't work.…