def data_path(self,
subject,
path=None,
force_update=False,
update_path=None,
verbose=None):
if subject not in self.subject_list:
raise (ValueError("Invalid subject number"))
# check if has the .zip
file_number = SpotPilotData._map_subject_to_filenumber(subject)
url = f'{SPOT_PILOT_P300_URL}/FILE{file_number}/content'
path_zip = dl.data_path(url, 'spot')
path_folder = path_zip[:-8] + f'/subject{subject}'
# check if has to unzip
if not (os.path.isdir(path_folder)):
print('unzip', path_zip)
zip_ref = zipfile.ZipFile(path_zip, "r")
zip_ref.extractall(path_zip[:-7])
# get the path to all files
pattern = f'/*Run_2*.vhdr'
subject_paths = glob.glob(path_folder + pattern)
return sorted(subject_paths)
def data_path(self,
subject,
path=None,
force_update=False,
update_path=None,
verbose=None):
if subject not in self.subject_list:
raise (ValueError("Invalid subject number"))
# check if has the .zip
url = '{:s}subject{:d}.zip'.format(EPFLP300_URL, subject)
path_zip = dl.data_path(url, 'EPFLP300')
path_folder = path_zip.strip('subject{:d}.zip'.format(subject))
# check if has to unzip
if not (os.path.isdir(path_folder + 'subject{:d}'.format(subject))):
print('unzip', path_zip)
zip_ref = zipfile.ZipFile(path_zip, "r")
zip_ref.extractall(path_folder)
# get the path to all files
pattern = os.path.join('subject{:d}'.format(subject), '*', '*')
subject_paths = glob.glob(path_folder + pattern)
return subject_paths
def data_path(url,
path=None,
force_update=False,
update_path=None,
verbose=None):
return [
dl.data_path(url, 'BNCI', path, force_update, update_path, verbose)
]
def data_path(self,
subject,
path=None,
force_update=False,
update_path=None,
verbose=None):
if subject not in self.subject_list:
raise (ValueError("Invalid subject number"))
# download .set
_set = "{:s}subject{:d}.set".format(DOWNLOAD_URL, subject)
set_local = dl.data_path(_set, "MUNICHMI", path, force_update,
update_path, verbose)
# download .fdt
_fdt = "{:s}subject{:d}.fdt".format(DOWNLOAD_URL, subject)
dl.data_path(_fdt, "MUNICHMI", path, force_update, update_path,
verbose)
return set_local
def data_path(self, subject, path=None, force_update=False,
update_path=None, verbose=None):
"""Download the data from one subject"""
if subject not in self.subject_list:
raise(ValueError("Invalid subject number"))
url = '{:s}subject_0{:d}.mat'.format(ExampleDataset_URL, subject)
path = dl.data_path(url, 'ExampleDataset')
return [path] # it has to return a list
def data_path(self, subject, path=None, force_update=False,
update_path=None, verbose=None):
if subject not in self.subject_list:
raise(ValueError('Invalid subject number'))
def _url(prefix):
return '/'.join([GIN_URL, prefix, '{:d}.mat'.format(subject)])
return [dl.data_path(_url(t), 'SCHIRRMEISTER2017', path, force_update,
update_path, verbose) for t in ['train', 'test']]
def data_path(self,
subject,
path=None,
force_update=False,
update_path=None,
verbose=None):
if subject not in self.subject_list:
raise (ValueError("Invalid subject number"))
file_path_list = []
if self.VR:
url = '{:s}subject_{:02d}_VR.mat'.format(VIRTUALREALITY_URL,
subject)
file_path = dl.data_path(url, 'VIRTUALREALITY')
file_path_list.append(file_path)
elif self.PC:
url = '{:s}subject_{:02d}_PC.mat'.format(VIRTUALREALITY_URL,
subject)
file_path = dl.data_path(url, 'VIRTUALREALITY')
file_path_list.append(file_path)
return file_path_list
def data_path(self,
subject,
path=None,
force_update=False,
update_path=None,
verbose=None):
if subject not in self.subject_list:
raise (ValueError("Invalid subject number"))
# check if has the .zip
url = "{:s}subject{:d}.zip".format(BI2013a_URL, subject)
path_zip = dl.data_path(url, "BRAININVADERS")
path_folder = path_zip.strip("subject{:d}.zip".format(subject))
# check if has to unzip
if not (os.path.isdir(path_folder + "subject{:d}".format(subject))):
print("unzip", path_zip)
zip_ref = zipfile.ZipFile(path_zip, "r")
zip_ref.extractall(path_folder)
# filter the data regarding the experimental conditions
meta_file = os.path.join("subject{:d}".format(subject), "meta.yml")
meta_path = path_folder + meta_file
with open(meta_path, "r") as stream:
meta = yaml.load(stream, Loader=yaml.FullLoader)
conditions = []
if self.adaptive:
conditions = conditions + ["adaptive"]
if self.nonadaptive:
conditions = conditions + ["nonadaptive"]
types = []
if self.training:
types = types + ["training"]
if self.online:
types = types + ["online"]
filenames = []
for run in meta["runs"]:
run_condition = run["experimental_condition"]
run_type = run["type"]
if (run_condition in conditions) and (run_type in types):
filenames = filenames + [run["filename"]]
# list the filepaths for this subject
subject_paths = []
for filename in filenames:
subject_paths = subject_paths + glob.glob(
os.path.join(path_folder, "subject{:d}".format(subject),
"Session*", filename)) # noqa
return subject_paths
def data_path(self,
subject,
path=None,
force_update=False,
update_path=None,
verbose=None):
if subject not in self.subject_list:
raise (ValueError("Invalid subject number"))
# check if has the .zip
url = '{:s}subject{:d}.zip'.format(BI2013a_URL, subject)
path_zip = dl.data_path(url, 'BRAININVADERS')
path_folder = path_zip.strip('subject{:d}.zip'.format(subject))
# check if has to unzip
if not (os.path.isdir(path_folder + 'subject{:d}'.format(subject))):
print('unzip', path_zip)
zip_ref = zipfile.ZipFile(path_zip, "r")
zip_ref.extractall(path_folder)
# filter the data regarding the experimental conditions
meta_file = os.path.join('subject{:d}'.format(subject), 'meta.yml')
meta_path = path_folder + meta_file
with open(meta_path, 'r') as stream:
meta = yaml.load(stream)
conditions = []
if self.adaptive:
conditions = conditions + ['adaptive']
if self.nonadaptive:
conditions = conditions + ['nonadaptive']
types = []
if self.training:
types = types + ['training']
if self.online:
types = types + ['online']
filenames = []
for run in meta['runs']:
run_condition = run['experimental_condition']
run_type = run['type']
if (run_condition in conditions) and (run_type in types):
filenames = filenames + [run['filename']]
# list the filepaths for this subject
subject_paths = []
for filename in filenames:
subject_paths = subject_paths + \
glob.glob(os.path.join(path_folder, 'subject{:d}'.format(subject), 'Session*', filename)) # noqa
return subject_paths
def data_path(self,
subject,
path=None,
force_update=False,
update_path=None,
verbose=None):
if subject not in self.subject_list:
raise (ValueError("Invalid subject number"))
def _url(prefix):
return "/".join([GIN_URL, prefix, "{:d}.mat".format(subject)])
return [
dl.data_path(_url(t), "SCHIRRMEISTER2017", path, force_update,
update_path, verbose) for t in ["train", "test"]
]
def data_path(self,
subject,
path=None,
force_update=False,
update_path=None,
verbose=None):
if subject not in self.subject_list:
raise (ValueError("Invalid subject number"))
subject_paths = []
for session in range(1, 3):
url = "{0}session{1}/s{2}/sess{1:02d}_subj{2:02d}_EEG_MI.mat".format(
Lee2019_URL, session, subject)
data_path = dl.data_path(url, "Lee2019_MI", path, force_update,
update_path, verbose)
subject_paths.append(data_path)
return subject_paths
