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A problem will occur when I training this model #84

@Mr-doraemon

Description

@Mr-doraemon

when I run the code python train.py part_A_train.json part_A_test.json 0 0, an error will occur. The detial about this error is:

/home/user/.local/lib/python2.7/site-packages/torch/nn/_reduction.py:49: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
warnings.warn(warning.format(ret))
epoch 0, processed 0 samples, lr 0.0000001000
/home/user/CSRNet/image.py:14: H5pyDeprecationWarning: The default file mode will change to 'r' (read-only) in h5py 3.0. To suppress this warning, pass the mode you need to h5py.File(), or set the global default h5.get_config().default_file_mode, or set the environment variable H5PY_DEFAULT_READONLY=1. Available modes are: 'r', 'r+', 'w', 'w-'/'x', 'a'. See the docs for details.
gt_file = h5py.File(gt_path)
Traceback (most recent call last):
File "train.py", line 230, in
main()
File "train.py", line 92, in main
train(train_list, model, criterion, optimizer, epoch)
File "train.py", line 131, in train
for i,(img, target)in enumerate(train_loader):
File "/home/user/.local/lib/python2.7/site-packages/torch/utils/data/dataloader.py", line 615, in next
batch = self.collate_fn([self.dataset[i] for i in indices])
File "/home/user/CSRNet/dataset.py", line 33, in getitem
img,target = load_data(img_path,self.train)
File "/home/user/CSRNet/image.py", line 15, in load_data
print(gt_file['density'])
File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "/home/user/anaconda3/envs/CSRNet/lib/python2.7/site-packages/h5py/_hl/group.py", line 264, in getitem
oid = h5o.open(self.id, self._e(name), lapl=self._lapl)
File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "h5py/h5o.pyx", line 190, in h5py.h5o.open
KeyError: "Unable to open object (object 'density' doesn't exist)"

I'm looking forward to your relpy!

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