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_dl(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(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_dl(_set, "MUNICHMI", path, force_update, verbose)
# download .fdt
_fdt = "{:s}subject{:d}.fdt".format(DOWNLOAD_URL, subject)
dl.data_dl(_fdt, "MUNICHMI", path, force_update, 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_dl(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_dl(_url(t), "SCHIRRMEISTER2017", path, force_update, 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"))
# check if has the .zip
url = "{:s}subject{:d}.zip".format(BI2013a_URL, subject)
path_zip = dl.data_dl(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"))
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_dl(
url, "Lee2019_MI", path, force_update, update_path, verbose
)
subject_paths.append(data_path)
return subject_paths
def data_path(url,
path=None,
force_update=False,
update_path=None,
verbose=None):
return [dl.data_dl(url, "BNCI", path, force_update, update_path, verbose)]