def Reset(): """Reset the library. Useful for re-initializing to a different server.""" data.reset() ApiFunction.reset() Image.reset() Feature.reset() Collection.reset() ImageCollection.reset() FeatureCollection.reset() Filter.reset() Geometry.reset() Number.reset() String.reset() _ResetGeneratedClasses() global Algorithms Algorithms = _AlgorithmsContainer()
def Reset(): """Reset the library. Useful for re-initializing to a different server.""" data.reset() ApiFunction.reset() Element.reset() Image.reset() Feature.reset() Collection.reset() ImageCollection.reset() FeatureCollection.reset() Filter.reset() Geometry.reset() Number.reset() String.reset() _ResetGeneratedClasses() global Algorithms Algorithms = _AlgorithmsContainer()
metavar="/path/to/numpy/image/file",
help='Path to numpy image file')
parser.add_argument('--masks',
required=False,
metavar="/path/to/numpy/mask/file",
help='Path to numpy mask file')
args = parser.parse_args()
assert args.command in [
'imgmask', 'img', 'split', 'reset'
], "command must be in ['imgmask', 'img', 'split', 'reset']"
train_directory = os.path.join(args.outdir, 'training_data')
test_directory = os.path.join(args.outdir, 'testing_data')
if args.command == 'imgmask':
assert [args.images, args.masks
], 'imgmask requires the --images and --masks arguments'
np_to_imgmask(args.images, args.masks, args.outdir)
if args.command == 'img':
assert args.images, "img requires the --images argument"
np_to_img(args.images, args.outdir)
if args.command == 'split':
train_test_split(train_directory, test_directory, args.outdir,
TRAIN_PERCENT)
if args.command == 'reset':
reset(train_directory, test_directory, args.outdir)