val_annotations.json is missing.

[yvanyin]

val_annotations.json is missing.

[YvanYin]

Hi, if you do not want to do the validation during training, just remove the validation code in the train.py:

val_err[0] = val(val_dataloader, model)

Besides, you should change the 'parse_arg_val.py'.
--anno_phase='train'

[aufaclav]

Thank you for your response. I finished the problem. thanks to you..

now i faced another problem with test.. i tried to test with pre-trained data
python ./tools/test_any_images.py
--dataroot ./
--dataset any
--cfg_file lib/configs/resnext101_32x4d_nyudv2_class
--load_ckpt model/nyu_rawdata.pth

i downloaded the pretrain data and give it into the created model folder. But the result is strange. When i open it, all images becomes grey and has 50000 value. i tried it with your images in example, and the result are the same. Is there something wrong with my procedure?

here is the example result

[YvanYin]

Sorry for late reply. Have you fixed this problem?

[aufaclav]

Yes, i solved it already. Thank you..

but i have another problem,
i always out of Cuda memory while training. I am using GTX Titan X with 11 GB memory, it is obviously weird. i already try to reduce the batchsize and try the other batchsize, but it doesnt work. How i can solve this? where i need to change the parameter for this?

Also, can i ask another question?
i have a dataset with the same structure of train.mat.
i want to update/fine tune the nyu_rawdata.pth with my dataset.
Can i just load and train it with resume option?

[YvanYin]

Hi, if out of memory, you can adjust the image size for training. Please see the config file under lib/core/config.py. You can adjust it to 256*256 or others.

Yes, you can. However, you should set the new learning rate for fine-tuning.

[rgbd-zml]

Thank you for your response. I finished the problem. thanks to you..

now i faced another problem with test.. i tried to test with pre-trained data
python ./tools/test_any_images.py
--dataroot ./
--dataset any
--cfg_file lib/configs/resnext101_32x4d_nyudv2_class
--load_ckpt model/nyu_rawdata.pth

i downloaded the pretrain data and give it into the created model folder. But the result is strange. When i open it, all images becomes grey and has 50000 value. i tried it with your images in example, and the result are the same. Is there something wrong with my procedure?

here is the example result

HI,aufaclav :
I have the same problem as you. When I use the model to predict the depth map of the picture, the results are all gray. How did you solve this problem? thank you