-
Thanks for your kind reply and sharing.
When I look back to your great job for twice ... or for the 3rd times, I got some questions specially on NYUD dataset.
1. I downloaded NYUD by `wget htt…
-
I have a dataset that contains masked and depth images. I would like to train this model on this dataset. As I understand, first, my masks and depth images should be 1 channel, then I need to modify t…
-
Thanks for your share. I have a question on processing NYU datest, in your nyudv2_dataset.py, the depth image divide 10, what type of depth image should input? what are the value range of depth ima…
-
Hi,
I am trying to convert the pretrained to ios coreml. So i first converted your pretrained model to onnx and then use onnx-coreml to convert it to an ios model. Unfortunately the resize operations…
-
Very nice repo! Hope for more models (like refinenet) and more datasets (like SUNRGBD and NYUDV2).
A problem is: my cuda memory is ok if I train without loading a model. However, when training is sto…
-
Hi,
When I want to download NYUDv2 with segmentation and depth masks using the link provided (https://cloudstor.aarnet.edu.au/plus/s/pQY2sgg4fffGUYy), I can't find the file and the link seems out of …
wwwjn updated
5 years ago
-
how the normalization map to the two datasets? Is there lost a depth normalization?
```
# image = torchvision.transforms.Normalize(mean=[0.485, 0.456, 0.406],
# …
-
In this paper, "Clockwork Convnets for Video Semantic Segmentation", The NYUDv2 dataset [6] collects short RGB-D clips and includes a segmentation benchmark with high-quality but temporally sparse pix…
s5248 updated
4 years ago
-
Hi, I have some questions about how do you calculate category weights for nyudv2 datasets and sun datasets?
-
File "E:\vSLAM\VNL_Monocular_Depth_Prediction-master\data\nyudv2_dataset.py", line 154, in depth_to_bins
bins = ((torch.log10(depth) - cfg.DATASET.DEPTH_MIN_LOG) / cfg.DATASET.DEPTH_BIN_INTERVA…