-
Hello,
First of all, I would like to say thank you for your work.
I would like to evaluate the MiDas v21 model on NYU Depth v2 dataset.
Based on the link below, the evaluation results using the…
-
hi everyone,
I attempted to measure the metric depth performance on the KITTI datasets using the pretrained model provided in this project.
(δ1, δ2, δ3, AbsRel, RMS, log10)
but the result is fa…
-
Link to another project: **DPT (Dense Prediction Transformers)** - State of the art Semantic-segmentation and Monocular depth estimation network
* Top-1 accuracy on Pascal-Context Semantic segmenta…
-
The proposed ACMNet is great. I have a question: whether the proposed method can generalized across different dataset? e.g. nyu v2 and kitti? Whether we should retrain the model when testing? And rece…
-
Link to another project: **DPT (Dense Prediction Transformers)** - State of the art Semantic-segmentation and Monocular depth estimation network
* Top-1 accuracy on Pascal-Context Semantic segmenta…
-
Hello;
Thanks for the wonderful paper and open-source project.
I noticed that not all files in the NYU Depth v2 (from sync.zip) were put in the training file list "nyudepthv2_train_files_wit…
-
Hello! Thanks for sharing your code! And I have successfully run it. But when I ran the sc_depth v2, I couldn't get the corresponding results in the paper, it has a gap. And I also ran the provided mo…
-
Thank you for your excellent work. I have some questions regarding the evaluation on these two datasets:
1、I noticed that SQUID contains datasets from four locations. Did you use one of them or all…
-
I'd like to share some code.
```matlab
nyufile = fullfile('dataset/', 'nyu_depth_v2_labeled.mat');
outDir = fullfile('output/', 'sgupta', 'datasets', 'nyud2', 'datacopy');
mkdir(fullfile(outDir,…
-
Where can I download the NYU test set？