def setup(self):
self.data_dir = path.join(path.dirname(__file__), '..', '..', '..',
'data')
self.pathVector = path.join(self.data_dir, 'prodes_shp_crop.shp')
self.pathRaster = path.join(self.data_dir, 'raster_B1_B7.tif')
self.class_column = 'agregClass'
self.output_dir = path.join(self.data_dir, 'tests_gen')
self.preproc = prep.Preprocessor(self.pathRaster, self.pathVector)
fs.mkdir(self.output_dir)
def setup(self):
self.data_dir = path.join(path.dirname(__file__), '..', '..', '..',
'data')
self.pathVector = path.join(self.data_dir, "prodes_shp_crop.shp")
self.pathRaster = path.join(self.data_dir, "raster_R6G5B4.tif")
self.class_column = "agregClass"
self.rasterizer = rasterizer.Rasterizer(self.pathVector,
self.pathRaster,
self.class_column)
self.output_dir = path.join(self.data_dir, "tests_gen")
fs.mkdir(self.output_dir)
def download_order(self, orderid, output_dir):
fs.mkdir(output_dir)
print('GET /api/v1/item-status/{0}'.format(orderid))
resp = self.__call_espa_api('item-status/{0}'.format(orderid),
body={'status': 'complete'})
#print(json.dumps(resp[orderid], indent=4))
# Once the order is completed or partially completed, can get the download url's
for item in resp[orderid]:
url = item.get('product_dload_url')
print("Downloading URL: {0}".format(url))
filename = os.path.basename(url)
output_file = os.path.join(output_dir, filename)
wget.download(item.get('product_dload_url'), out=output_file)
import deepgeo.common.geofunctions as gf
reload(dtaug)
reload(dsutils)
reload(mb)
reload(gf)
current_path = os.path.abspath(os.path.dirname('__file__'))
DATA_DIR = os.path.join(current_path, '..', '..', 'data', 'generated')
network = 'fcn8s'
DATASET_FILE = os.path.join(DATA_DIR, 'samples_dataset_bin.npz')
# model_dir = os.path.join(DATA_DIR, 'tf_logs', 'test_%s_%s' % (network, datetime.now().strftime('%d_%m_%Y-%H_%M_%S')))
model_dir = os.path.join(DATA_DIR, 'tf_logs', 'test_debug')
fs.mkdir(model_dir)
if os.listdir(model_dir):
for fname in os.listdir(model_dir):
fpath = os.path.join(model_dir, fname)
try:
if os.path.isfile(fpath):
os.unlink(fpath)
else:
fs.delete_dir(fpath)
except Exception as e:
print(e)
dataset = np.load(DATASET_FILE)
print('Data Loaded:')
def test_directoryCreationAndDeletion():
pathDir = os.path.join(os.path.dirname(__file__), './aaa')
fs.mkdir(pathDir)
nose.tools.assert_true(os.path.exists(pathDir))
fs.delete_dir(pathDir)
nose.tools.assert_false(os.path.exists(pathDir))