-
I tried "sh local_test_LAB.sh" but couldn't get the result.
first, when I tried command below:
python run_dso.py --dso_path ../third_party/dso/build/bin/dso_dataset --data_fldr ../data/7scenes_offi…
-
-
Hi, thanks a lot for your nice works!
Currently, I attempt to train a BiSeNet model using my own data. The trainning code is directly taken from your repo. It works quite well during trainning and …
-
Hi,
Thank you for sharing your work.
Sorry to bother you, as I see no issues related to my error, I assume the error is mine.
After severals tries to fix it, I think I rather ask it.
The line:…
-
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…
-
Hi,thanks to your great work.
Can you tell me how to process NYUv2 dataset (rgb&label) to the size that you provided in this project.
I want to process the NYUv2 dateset Depth data into the same siz…
-
would you please upload trained model on SYNTHIA?
-
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…
-
I adapted the function `create_segmenter` in train.py, by adding a branch as follow:
```
elif str(net) == 'mbv2':
from models.mobilenet import mbv2
return mbv2(num_classes, pretra…
-
Can the resnet50 provided in keras applications be used as the backbone?