def __init__(self, **kwargs):
"""
:param **kwargs: args to pass to visual.ImageStim
"""
labtools_dir = unipath.Path(__file__).absolute().parent
mask_files = unipath.Path(labtools_dir,
'dynamic_mask').listdir('*.png')
self.masks = [
ImageStim(image=str(pth), **kwargs) for pth in mask_files
]
self.cur_ix = 0
def test_cifar10_convert():
with tempdir() as td:
data = load_cifar_batch('./cifar-10-batches-py/data_batch_1')
unpack_cifar_batch(data, td)
batch, labels, files, encoder = dir_to_cifar(td)
batch = sorted(
zip(batch, files),
key=lambda x: data['filenames'].index(unipath.Path(x[1]).name))
batch = zip(*batch)[0]
assert (batch == data['data']).all()
labels = sorted(
zip(labels, files),
key=lambda x: data['filenames'].index(unipath.Path(x[1]).name))
labels = zip(*labels)[0]
assert all(x == y for x, y in zip(labels, data['labels']))
def validate_PathNotEmpty(value):
"""
"""
path = unipath.Path(value).strip()
if len(path) == 0:
raise ValidationError(u'String must not be empty')
def validate_PathInScope(value):
"""
"""
path = unipath.Path(value)
path.absolute()
if not abspath.startswith(settings.SRC_PATH) or not path.isdir(abspath):
raise ValidationError(u'Invalid path for source code')
def validate_IsValidName(value):
"""
"""
validate_PathNotEmpty(value)
path = unipath.Path(value)
if not path.isalnum():
raise ValidationError(u'Project name must be alnum')
def unpack_cifar_batch(data, dest):
"""
Unpacking cifar file format to directory
Parameters
----------
data: dict
cifar batch file
dest: str
path where store resulting data
"""
batch = data['data']
with cwd(dest):
for l in set(data['labels']):
unipath.Path(l).mkdir()
for i, (f, label) in enumerate(zip(data['filenames'], data['labels'])):
image = cifar_image_to_pil(batch[i])
image.save(unipath.Path(label).child(unipath.Path(f).name))
def dir_to_cifar(source):
labels = []
files = []
label_encoder = {}
label_code = 0
with cwd(source) as source:
for class_path in source.listdir():
fs = unipath.Path(class_path).walk(
filter=lambda x: x.isfile() and x.lower().endswith(VALID_EXT))
fs = [x.lstrip('./') for x in fs]
files.extend(fs)
labels.extend([label_code] * len(fs))
label_encoder[class_path.name] = label_code
label_code += 1
batch = files_to_batch(files)
return batch, labels, [str(x) for x in files], label_encoder
