in ur utils/array_tool.py, you use t._TensorBase
but when I run the code, it turns wrong and pops up:
AttributeError: module 'torch' has no attribute '_TensorBase'

Hello,
When I run train.sh script, I get this error. Can someone tell me why this is happening?

My guess is that since there is no unet_models.py file, rather only its compiled .pyc version, I am getting this error. How do I fix this?

there is a problem in line 248 of trainer.py:
meter.add(loss_d[key])

TypeError: can't convert CUDA tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.

how to solve it?

Hello,
I have some problem about dataloader.
Could someone gave me some help?

$ python3 train.py train --env='fasterrcnn' --plot-every=20
======user config========
{'caffe_pretrain': False,
'caffe_pretrain_path': './vgg16_caffe.pth',
'concat_layer': 1,
'data': 'voc',
'debug_file': '/tmp/debugf',
'env': 'fasterrcnn',
'epoch': 13,
'load_depth_extimater': '../depth_etimation/model_best.pth_L2_U-net_vgg11.tar',
'load_depth_path': None,
'load_head': None,
'load_path': None,
'load_rgb_path': None,
'load_rpn': None,
'lr': 0.001,
'lr_decay': 0.1,
'max_size': 1000,
'min_size': 600,
'num_workers': 4,
'plot_every': 20,
'port': 8097,
'pretrained_model': 'vgg16',
'roi_sigma': 1.0,
'rpn_sigma': 3.0,
'test_num': 10000,
'test_num_workers': 4,
'use_adam': False,
'use_chainer': False,
'use_drop': False,
'voc_data_dir': '/home/jiou/faster-rcnn-rgbd/faster-rcnn-rgbd/NYUv2/',
'weight_decay': 0.0005}
==========end============
load data
model construct completed
Traceback (most recent call last):
File "train.py", line 150, in
fire.Fire()
File "/home/jiou/.local/lib/python3.5/site-packages/fire/core.py", line 127, in Fire
component_trace = _Fire(component, args, context, name)
File "/home/jiou/.local/lib/python3.5/site-packages/fire/core.py", line 366, in Fire
component, remaining_args)
File "/home/jiou/.local/lib/python3.5/site-packages/fire/core.py", line 542, in CallCallable
result = fn(*varargs, **kwargs)
File "train.py", line 84, in train
for ii, (img, img_depth, bbox, label, scale) in tqdm(enumerate(dataloader)):
File "/usr/local/lib/python3.5/dist-packages/tqdm/_tqdm.py", line 953, in iter
for obj in iterable:
File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 286, in next
return self._process_next_batch(batch)
File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 307, in _process_next_batch
raise batch.exc_type(batch.exc_msg)
ValueError: Traceback (most recent call last):
File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 57, in _worker_loop
samples = collate_fn([dataset[i] for i in batch_indices])
File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 57, in
samples = collate_fn([dataset[i] for i in batch_indices])
File "/home/jiou/faster-rcnn-rgbd/faster-rcnn-rgbd/data/dataset.py", line 160, in getitem
ori_img, ori_img_depth, bbox, label, difficult = self.db.get_example(idx)
File "/home/jiou/faster-rcnn-rgbd/faster-rcnn-rgbd/data/voc_dataset.py", line 145, in get_example
label = np.stack(label).astype(np.int32)
File "/usr/local/lib/python3.5/dist-packages/numpy/core/shape_base.py", line 349, in stack
raise ValueError('need at least one array to stack')
ValueError: need at least one array to stack

Hello,

Can anyone explain me what are the functions of the following operators?

<<<<<<< HEAD

b43e1a358b5853ffb749ac931c9cd97a6dccf862

Thanks.

I understand that I can get RGB or depth results by simply changing line 127 in $data/voc_dataset.py. However, I do not know how to get the RGBD results. I would appreciate if you could help me out.

Thanks.

Hello,
Can you share converted version of nyu depth v2 dataset or code for conversion?