def test_wrong_init_png_dir(self):
with self.assertRaises(ResourceNotFoundError):
client = Client(
api_token="57c60ade109be36ef1a1c89f56247109fa448741")
client.checkout_project(
project_token="4b003477-3b31-4f74-8952-8a9dc879b0ec",
png_dir="test_project")
def test_train_test_split(self):
client = Client(api_token="57c60ade109be36ef1a1c89f56247109fa448741")
client.checkout_project(
project_token="4b003477-3b31-4f74-8952-8a9dc879b0ec")
client.create_network(network_name="test_creation_network_0")
client.dl_annotations()
client.train_test_split(prop=0.7)
self.assertEqual(len(client.index_url),
len(client.dict_annotations["images"]))
self.assertEqual(len(client.train_list), len(client.train_list_id))
self.assertEqual(len(client.eval_list), len(client.eval_list_id))
def test_dl_latest_saved_model_no_path(self):
with self.assertRaises(InvalidQueryError):
client = Client(
api_token="57c60ade109be36ef1a1c89f56247109fa448741")
client.checkout_project(
project_token="4b003477-3b31-4f74-8952-8a9dc879b0ec")
client.checkout_network(network_name="ssd_inceptionV2_COCO")
client.dl_latest_saved_model()
def test_normal_use_init(self):
client = Client(api_token="57c60ade109be36ef1a1c89f56247109fa448741")
client.checkout_project(
project_token="4b003477-3b31-4f74-8952-8a9dc879b0ec")
self.assertEqual(
client.auth, {
"Authorization":
"Bearer " + "57c60ade109be36ef1a1c89f56247109fa448741"
})
self.assertTrue(isinstance(client.project_name_list, list))
self.assertEqual(client.username, "tibl23")
self.assertEqual(client.project_token, client.project_id)
self.assertTrue(isinstance(client.project_name, str))
self.assertTrue(isinstance(client.project_type, str))
self.assertTrue(isinstance(client.network_names, list))
def test_dl_latest_saved_model_path(self):
client = Client(api_token="57c60ade109be36ef1a1c89f56247109fa448741")
client.checkout_project(
project_token="4b003477-3b31-4f74-8952-8a9dc879b0ec")
client.checkout_network(network_name="ssd_inceptionV2_COCO")
self.assertEqual(client.network_id,
"ff3fb57d-6f95-46f6-a6dc-aeb0985dd6a4")
client.dl_latest_saved_model(path_to_save="test_saved/ici")
self.assertTrue(os.path.isdir("test_saved/ici"))
self.assertTrue(
os.path.isfile(os.path.join("test_saved/ici", "saved_model.pb")))
shutil.rmtree("test_saved/ici")
def test_create_network_normal_different_version(self):
client = Client(api_token="57c60ade109be36ef1a1c89f56247109fa448741")
client.checkout_project(
project_token="4b003477-3b31-4f74-8952-8a9dc879b0ec")
client.create_network(network_name="test_creation_network_0")
self.assertTrue(isinstance(client.training_id, int))
self.assertEqual(client.training_id, 0)
self.assertTrue(isinstance(client.network_names, list))
self.assertTrue(isinstance(client.network_name, str))
self.assertTrue(isinstance(client.dict_annotations, dict))
self.assertEqual(
client.base_dir,
os.path.join(client.project_name, client.network_name,
str(client.training_id)))
self.assertEqual(client.metrics_dir,
os.path.join(client.base_dir, 'metrics'))
self.assertEqual(client.checkpoint_dir,
os.path.join(client.base_dir, 'checkpoint'))
self.assertEqual(client.record_dir,
os.path.join(client.base_dir, 'records'))
self.assertEqual(client.config_dir,
os.path.join(client.base_dir, 'config'))
self.assertEqual(client.results_dir,
os.path.join(client.base_dir, 'results'))
self.assertEqual(client.exported_model_dir,
os.path.join(client.base_dir, 'exported_model'))
self.assertTrue(os.path.isdir(client.base_dir))
self.assertTrue(os.path.isdir(client.metrics_dir))
self.assertTrue(os.path.isdir(client.checkpoint_dir))
self.assertTrue(os.path.isdir(client.record_dir))
self.assertTrue(os.path.isdir(client.config_dir))
self.assertTrue(os.path.isdir(client.results_dir))
self.assertTrue(os.path.isdir(client.exported_model_dir))
def test_create_dataset(self):
client = Client(api_token="57c60ade109be36ef1a1c89f56247109fa448741")
ds_id = client.create_dataset(dataset_name="test_dataset_0")
self.assertTrue(isinstance(ds_id, str))
with self.assertRaises(ValueError):
client = Client(
api_token="57c60ade109be36ef1a1c89f56247109fa448741")
ds_id = client.create_dataset(dataset_name="test_dataset_0")
def test_checkout_network_vanilla_normal(self):
client = Client(api_token="57c60ade109be36ef1a1c89f56247109fa448741")
client.checkout_project(
project_token="4b003477-3b31-4f74-8952-8a9dc879b0ec")
client.checkout_network(network_name="ssd_inceptionV2_COCO")
index_0 = client.checkpoint_index
data_0 = client.checkpoint_data
config_0 = client.config_file
self.assertTrue(isinstance(client.training_id, int))
self.assertEqual(client.network_name, "ssd_inceptionV2_COCO")
self.assertEqual(type(client.model_selected), str)
self.assertTrue(isinstance(client.network_names, list))
self.assertTrue(isinstance(client.network_name, str))
self.assertTrue(isinstance(client.dict_annotations, dict))
self.assertEqual(
client.base_dir,
os.path.join(client.project_name, client.network_name,
str(client.training_id)))
self.assertEqual(client.metrics_dir,
os.path.join(client.base_dir, 'metrics'))
self.assertEqual(client.checkpoint_dir,
os.path.join(client.base_dir, 'checkpoint'))
self.assertEqual(client.record_dir,
os.path.join(client.base_dir, 'records'))
self.assertEqual(client.config_dir,
os.path.join(client.base_dir, 'config'))
self.assertEqual(client.results_dir,
os.path.join(client.base_dir, 'results'))
self.assertEqual(client.exported_model_dir,
os.path.join(client.base_dir, 'exported_model'))
self.assertTrue(os.path.isdir(client.base_dir))
self.assertTrue(os.path.isdir(client.metrics_dir))
self.assertTrue(os.path.isdir(client.checkpoint_dir))
self.assertTrue(os.path.isdir(client.record_dir))
self.assertTrue(os.path.isdir(client.config_dir))
self.assertTrue(os.path.isdir(client.results_dir))
self.assertTrue(os.path.isdir(client.exported_model_dir))
with self.assertRaises(ResourceNotFoundError):
client = Client(
api_token="57c60ade109be36ef1a1c89f56247109fa448741")
client.checkout_project(
project_token="4b003477-3b31-4f74-8952-8a9dc879b0ec")
client.checkout_network(network_name="ssd_inceptionV2_COCO_fake")
# assert transfer object_name ok
client = Client(api_token="57c60ade109be36ef1a1c89f56247109fa448741")
client.checkout_project(
project_token="76f6c66a-71c0-415e-9715-12a7c971e899")
client.checkout_network(network_name="ssd_inceptionV2_COCO_2")
index_1 = client.checkpoint_index
data_1 = client.checkpoint_data
config_1 = client.config_file
self.assertEqual(index_0, index_1)
self.assertEqual(data_0, data_1)
self.assertEqual(config_0, config_1)
self.assertTrue(isinstance(client.training_id, int))
self.assertEqual(client.network_name, "ssd_inceptionV2_COCO_2")
self.assertEqual(type(client.model_selected), str)
self.assertTrue(isinstance(client.network_names, list))
self.assertTrue(isinstance(client.network_name, str))
self.assertTrue(isinstance(client.dict_annotations, dict))
self.assertEqual(
client.base_dir,
os.path.join(client.project_name, client.network_name,
str(client.training_id)))
self.assertEqual(client.metrics_dir,
os.path.join(client.base_dir, 'metrics'))
self.assertEqual(client.checkpoint_dir,
os.path.join(client.base_dir, 'checkpoint'))
self.assertEqual(client.record_dir,
os.path.join(client.base_dir, 'records'))
self.assertEqual(client.config_dir,
os.path.join(client.base_dir, 'config'))
self.assertEqual(client.results_dir,
os.path.join(client.base_dir, 'results'))
self.assertEqual(client.exported_model_dir,
os.path.join(client.base_dir, 'exported_model'))
self.assertTrue(os.path.isdir(client.base_dir))
self.assertTrue(os.path.isdir(client.metrics_dir))
self.assertTrue(os.path.isdir(client.checkpoint_dir))
self.assertTrue(os.path.isdir(client.record_dir))
self.assertTrue(os.path.isdir(client.config_dir))
self.assertTrue(os.path.isdir(client.results_dir))
self.assertTrue(os.path.isdir(client.exported_model_dir))
with self.assertRaises(ResourceNotFoundError):
client = Client(
api_token="57c60ade109be36ef1a1c89f56247109fa448741")
client.checkout_project(
project_token="4b003477-3b31-4f74-8952-8a9dc879b0ec")
client.checkout_network(network_name="ssd_inceptionV2_COCO_fake")
def test_upload_and_create_dataset(self):
client = Client(api_token="57c60ade109be36ef1a1c89f56247109fa448741")
client = client.create_and_upload_dataset(
dataset_name="test_dataset_1", path_to_images="test_images/")
def test_get_dataset_list(self):
client = Client(api_token="57c60ade109be36ef1a1c89f56247109fa448741")
ds_list = client.get_dataset_list()
self.assertTrue(isinstance(ds_list, list))
def test_dl_checkpoints_wrong_input(self):
client = Client(api_token="57c60ade109be36ef1a1c89f56247109fa448741")
client.checkout_project(
project_token="4b003477-3b31-4f74-8952-8a9dc879b0ec")
client.checkout_network(network_name="ssd_inceptionV2_COCO")
def test_normal_init_png_dir(self):
client = Client(api_token="57c60ade109be36ef1a1c89f56247109fa448741")
client.checkout_project(
project_token="4b003477-3b31-4f74-8952-8a9dc879b0ec",
png_dir="test_project/images")
def test_dl_annotations(self):
client = Client(api_token="57c60ade109be36ef1a1c89f56247109fa448741")
client.checkout_project(
project_token="4b003477-3b31-4f74-8952-8a9dc879b0ec")
client.dl_annotations()
self.assertTrue(len(client.dict_annotations.keys()) != 0)
def test_wrong_token_init(self):
with self.assertRaises(AuthenticationError):
client = Client(
api_token="57c60ade109be36ef1a1c89f56247109fa448741")
client.checkout_project(
project_token="4b003477-3b31-4f74-8952-8a9dc879bs0ec")
def test_create_dataset(self):
client = Client(api_token="57c60ade109be36ef1a1c89f56247109fa448741")
ds_id = client.create_dataset(dataset_name="test_dataset_0")
self.assertTrue(isinstance(ds_id, str))
with self.assertRaises(ValueError):
client = Client(
api_token="57c60ade109be36ef1a1c89f56247109fa448741")
ds_id = client.create_dataset(dataset_name="test_dataset_0")
def test_upload_and_create_dataset(self):
client = Client(api_token="57c60ade109be36ef1a1c89f56247109fa448741")
client = client.create_and_upload_dataset(
dataset_name="test_dataset_1", path_to_images="test_images/")
if __name__ == '__main__':
#unittest.main()
client = Client(api_token="57c60ade109be36ef1a1c89f56247109fa448741")
client.checkout_project(
project_token="d8e65668-9e18-421e-966c-7daa8d7c7497")
model_name = "ssd_base"
client.checkout_network(model_name)
client.dl_annotations()
client.dl_pictures()
client.train_test_split()
client.generate_labelmap()
a = client.tf_vars_generator(client.label_map, annotation_type="rectangle")
x = next(a)
print(x[:4])