monniert / dti-clustering Goto Github PK

I am running the entire experiment on Google Colab (after setting up all the required environments).
On running the line:

! source activate dtic && cuda=gpu_id config=mnist.yml tag=run_tag ./pipeline.sh

I get the following error:

[2021-03-08 16:43:28] Trainer initialisation: run directory is /content/dti-clustering/runs/mnist/0308_run_tag
[2021-03-08 16:43:28] Config /content/dti-clustering/configs/mnist.yml copied to run directory
[2021-03-08 16:43:28] Using cpu device, nb_device is None
Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz to /content/dti-clustering/datasets/MNIST/raw/train-images-idx3-ubyte.gz
0it [00:00, ?it/s]Traceback (most recent call last):
File "src/trainer.py", line 617, in
trainer = Trainer(config, run_dir, seed=seed)
File "/content/dti-clustering/src/utils/init.py", line 102, in wrapper
return f(*args, **kw)
File "src/trainer.py", line 72, in init
train_dataset = get_dataset(self.dataset_name)("train", **self.dataset_kwargs)
File "/content/dti-clustering/src/dataset/torchvision.py", line 40, in init
dataset = self.dataset_class(root=self.root, transform=self.transform, download=True, **kwargs)
File "/usr/local/envs/dtic/lib/python3.7/site-packages/torchvision/datasets/mnist.py", line 70, in init
self.download()
File "/usr/local/envs/dtic/lib/python3.7/site-packages/torchvision/datasets/mnist.py", line 137, in download
download_and_extract_archive(url, download_root=self.raw_folder, filename=filename, md5=md5)
File "/usr/local/envs/dtic/lib/python3.7/site-packages/torchvision/datasets/utils.py", line 249, in download_and_extract_archive
download_url(url, download_root, filename, md5)
File "/usr/local/envs/dtic/lib/python3.7/site-packages/torchvision/datasets/utils.py", line 83, in download_url
raise e
File "/usr/local/envs/dtic/lib/python3.7/site-packages/torchvision/datasets/utils.py", line 71, in download_url
reporthook=gen_bar_updater()
File "/usr/local/envs/dtic/lib/python3.7/urllib/request.py", line 247, in urlretrieve
with contextlib.closing(urlopen(url, data)) as fp:
File "/usr/local/envs/dtic/lib/python3.7/urllib/request.py", line 222, in urlopen
return opener.open(url, data, timeout)
File "/usr/local/envs/dtic/lib/python3.7/urllib/request.py", line 531, in open
response = meth(req, response)
File "/usr/local/envs/dtic/lib/python3.7/urllib/request.py", line 641, in http_response
'http', request, response, code, msg, hdrs)
File "/usr/local/envs/dtic/lib/python3.7/urllib/request.py", line 569, in error
return self._call_chain(*args)
File "/usr/local/envs/dtic/lib/python3.7/urllib/request.py", line 503, in _call_chain
result = func(*args)
File "/usr/local/envs/dtic/lib/python3.7/urllib/request.py", line 649, in http_error_default
raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 403: Forbidden
0it [00:00, ?it/s]

Hi! I am wondering if you can provide the directory name (number) for Florence Cathedral training images.
After downloading and running "create_MD_train_val.py" to create trainset, I got error,

FileNotFoundError: [Errno 2] No such file or directory: '/phoenix/S6/zl548/MegaDpeth_code//final_list/train_val_list/landscape/imgs_MD.p'

So, please let me know the name of the directory for Florence Cathedral folders in MegaDepth files
or give some recommendations for dealing this issue. ^^

Thank you for sharing codes, could you show the performance on other datasets such as CIFAR10 and STL?