def test_correct_proto_reader_from_string_4(self):
result = SimpleProtoParser().parse_from_string(correct_proto_message_4)
expected_result = {
'train_input_reader': {'label_map_path': "PATH_TO_BE_CONFIGURED/mscoco_label_map.pbtxt",
'tf_record_input_reader': {
'input_path': "PATH_TO_BE_CONFIGURED/ mscoco_train.record"}}}
self.assertDictEqual(result, expected_result)
def __init__(self, file_name: str):
self._raw_data_dict = SimpleProtoParser().parse_file(file_name)
if not self._raw_data_dict:
raise Error(
'Failed to parse pipeline.config file {}'.format(file_name))
self._initialize_model_params()
def test_proto_reader_from_non_readable_file(self):
file = tempfile.NamedTemporaryFile('wt', delete=False)
file.write(correct_proto_message_1)
file_name = file.name
file.close()
os.chmod(file_name, 0000)
result = SimpleProtoParser().parse_file(file_name)
self.assertIsNone(result)
os.unlink(file_name)
def test_correct_proto_reader_from_string_with_special_characters_in_string(
self):
result = SimpleProtoParser().parse_from_string(
correct_proto_message_11)
expected_result = {
'model': {
'path': "C:\[{],}",
'other_value': [1, 2, 3, 4]
}
}
self.assertDictEqual(result, expected_result)
def test_correct_proto_reader_from_file(self):
file = tempfile.NamedTemporaryFile('wt', delete=False)
file.write(correct_proto_message_1)
file_name = file.name
file.close()
result = SimpleProtoParser().parse_file(file_name)
expected_result = {'model': {'faster_rcnn': {'num_classes': 90, 'image_resizer': {
'keep_aspect_ratio_resizer': {'min_dimension': 600, 'max_dimension': 1024}}}}}
self.assertDictEqual(result, expected_result)
os.unlink(file_name)
def test_correct_proto_reader_from_string_2(self):
result = SimpleProtoParser().parse_from_string(correct_proto_message_2)
expected_result = {
'first_stage_anchor_generator': {
'grid_anchor_generator': {
'height_stride': 16,
'width_stride': 16,
'scales': [0.25, 0.5, 1.0, 2.0],
'aspect_ratios': [0.5, 1.0, 2.0]
}
}
}
self.assertDictEqual(result, expected_result)
def test_correct_proto_reader_from_string_with_comments(self):
result = SimpleProtoParser().parse_from_string(correct_proto_message_5)
expected_result = {
'initializer': {
'variance_scaling_initializer': {
'factor': 1.0,
'uniform': True,
'bla': False,
'mode': 'FAN_AVG'
}
}
}
self.assertDictEqual(result, expected_result)
def test_correct_proto_reader_from_string_1(self):
result = SimpleProtoParser().parse_from_string(correct_proto_message_1)
expected_result = {
'model': {
'faster_rcnn': {
'num_classes': 90,
'image_resizer': {
'keep_aspect_ratio_resizer': {
'min_dimension': 600,
'max_dimension': 1024
}
}
}
}
}
self.assertDictEqual(result, expected_result)
def test_proto_reader_from_non_existing_file(self):
result = SimpleProtoParser().parse_file('/non/existing/file')
self.assertIsNone(result)
def test_incorrect_proto_reader_from_string_7(self):
result = SimpleProtoParser().parse_from_string(
incorrect_proto_message_7)
self.assertIsNone(result)
def test_correct_proto_reader_from_string_with_comma_trailing_list(self):
result = SimpleProtoParser().parse_from_string(correct_proto_message_8)
expected_result = {'model': {'good_list': [3.0, 5.0]}}
self.assertDictEqual(result, expected_result)
