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BTC-Net: Efficient Bit-level Tensor Data Compression Network for Hyperspectral Image
Hello, I would like to know, how did you import the dataset, in the train.txt and test.txt files, I wrote my dataset file but the program runs with an error, and also how do the labels get entered in? Looking forward to your reply. this is my error: File "/root/miniconda3/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1203, in _next_data
return self._process_data(data)
File "/root/miniconda3/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1229, in _process_data
data.reraise()
File "/root/miniconda3/lib/python3.8/site-packages/torch/_utils.py", line 434, in reraise
raise exception
IndexError: Caught IndexError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/root/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 287, in _worker_loop
data = fetcher.fetch(index)
File "/root/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 49, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/root/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 49, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/root/autodl-tmp/BTCNet/dataset.py", line 52, in getitem
y = x[yim:h, xim+k:xim+self.width+k, :]
IndexError: too many indices for array: array is 2-dimensional, but 3 were indexed
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