def test_download_if_needed_local(self):
with self.assertRaises(NotReadableError):
file_to_str(self.local_path)
str_to_file(self.content_str, self.local_path)
upload_or_copy(self.local_path, self.local_path)
local_path = download_if_needed(self.local_path, self.tmp_dir.name)
self.assertEqual(local_path, self.local_path)
def test_file_to_str_local(self):
str_to_file(self.content_str, self.local_path)
content_str = file_to_str(self.local_path)
self.assertEqual(self.content_str, content_str)
wrong_path = '/wrongpath/x.txt'
with self.assertRaises(NotReadableError):
file_to_str(wrong_path)
def test_file_to_str_s3(self):
wrong_path = 's3://wrongpath/x.txt'
with self.assertRaises(NotWritableError):
str_to_file(self.content_str, wrong_path)
str_to_file(self.content_str, self.s3_path)
content_str = file_to_str(self.s3_path)
self.assertEqual(self.content_str, content_str)
with self.assertRaises(NotReadableError):
file_to_str(wrong_path)
def test_download_if_needed_s3(self):
with self.assertRaises(NotReadableError):
file_to_str(self.s3_path)
str_to_file(self.content_str, self.local_path)
upload_or_copy(self.local_path, self.s3_path)
local_path = download_if_needed(self.s3_path, self.tmp_dir.name)
content_str = file_to_str(local_path)
self.assertEqual(self.content_str, content_str)
wrong_path = 's3://wrongpath/x.txt'
with self.assertRaises(NotWritableError):
upload_or_copy(local_path, wrong_path)
def plot_training_logs(log_uris, labels):
for log_uri, label in zip(log_uris, labels):
log_df = pd.read_csv(StringIO(file_to_str(log_uri)))
epoch = log_df['epoch'].to_numpy()
building_f1 = log_df['building_f1'].to_numpy()
plt.plot(epoch, building_f1, label=label)
plt.xlabel('epoch')
plt.ylabel('building f1')
plt.title('Trained on 1%')
plt.legend()
def _get_geojson(self):
geojson = json.loads(file_to_str(self.vs_config.uri))
if not self.vs_config.ignore_crs_field and 'crs' in geojson:
raise Exception((
'The GeoJSON file at {} contains a CRS field which is not '
'allowed by the current GeoJSON standard or by Raster Vision. '
'All coordinates are expected to be in EPSG:4326 CRS. If the file uses '
'EPSG:4326 (ie. lat/lng on the WGS84 reference ellipsoid) and you would '
'like to ignore the CRS field, set ignore_crs_field=True in '
'GeoJSONVectorSourceConfig.').format(self.vs_config.uri))
return self.class_inference.transform_geojson(geojson)
def filter_geojson(labels_uri, output_uri, class_names):
"""Remove features that aren't in class_names and remove class_ids."""
labels_str = file_to_str(labels_uri)
labels = json.loads(labels_str)
filtered_features = []
for feature in labels['features']:
feature = copy.deepcopy(feature)
properties = feature.get('properties')
if properties:
class_name = properties.get('class_name') or properties('label')
if class_name in class_names:
del properties['class_id']
filtered_features.append(feature)
new_labels = {'features': filtered_features}
str_to_file(json.dumps(new_labels), output_uri)
def get_scene_info(csv_uri):
csv_str = file_to_str(csv_uri)
reader = csv.reader(StringIO(csv_str), delimiter=',')
return list(reader)
def get_acc(metrics_uri):
metric_str = file_to_str(metrics_uri).split('\n')[-2]
metrics_dict = json.loads(metric_str)
acc = metrics_dict['test_accuracy_list_meter']['top_1']['res5avg']
return acc
def load(stats_uri):
stats_json = json.loads(file_to_str(stats_uri))
stats = RasterStats()
stats.means = stats_json['means']
stats.stds = stats_json['stds']
return stats
def print_messages(self):
for message_uri in self.config.message_uris:
message = file_to_str(message_uri)
print(message)
def print_messages(self):
# Read all the message files and print them.
for message_uri in self.config.message_uris:
message = file_to_str(message_uri)
print(message)
