def testGraphInitializedWithProtoConfig(self):
text_config = """
max_queue_size: 1
input_stream: 'in'
output_stream: 'out'
node {
calculator: 'PassThroughCalculator'
input_stream: 'in'
output_stream: 'out'
}
"""
config_proto = calculator_pb2.CalculatorGraphConfig()
text_format.Parse(text_config, config_proto)
graph = mp.CalculatorGraph(graph_config=config_proto)
hello_world_packet = mp.packet_creator.create_string('hello world')
out = []
graph = mp.CalculatorGraph(graph_config=config_proto)
graph.observe_output_stream('out', lambda _, packet: out.append(packet))
graph.start_run()
graph.add_packet_to_input_stream(
stream='in', packet=hello_world_packet, timestamp=0)
graph.add_packet_to_input_stream(
stream='in', packet=hello_world_packet.at(1))
graph.close()
self.assertEqual(graph.graph_input_stream_add_mode,
mp.GraphInputStreamAddMode.WAIT_TILL_NOT_FULL)
self.assertEqual(graph.max_queue_size, 1)
self.assertFalse(graph.has_error())
self.assertLen(out, 2)
self.assertEqual(out[0].timestamp, 0)
self.assertEqual(out[1].timestamp, 1)
self.assertEqual(mp.packet_getter.get_str(out[0]), 'hello world')
self.assertEqual(mp.packet_getter.get_str(out[1]), 'hello world')
def testInsertPacketsWithSameTimestamp(self):
text_config = """
max_queue_size: 1
input_stream: 'in'
output_stream: 'out'
node {
calculator: 'PassThroughCalculator'
input_stream: 'in'
output_stream: 'out'
}
"""
config_proto = calculator_pb2.CalculatorGraphConfig()
text_format.Parse(text_config, config_proto)
hello_world_packet = mp.packet_creator.create_string('hello world')
out = []
graph = mp.CalculatorGraph(graph_config=config_proto)
graph.observe_output_stream('out',
lambda _, packet: out.append(packet))
graph.start_run()
graph.add_packet_to_input_stream(stream='in',
packet=hello_world_packet.at(0))
graph.wait_until_idle()
graph.add_packet_to_input_stream(stream='in',
packet=hello_world_packet.at(0))
with self.assertRaisesRegex(
ValueError,
'Current minimum expected timestamp is 1 but received 0.'):
graph.wait_until_idle()
def test_valid_input_data_type_proto(self):
text_config = """
input_stream: 'input_detections'
output_stream: 'output_detections'
node {
calculator: 'DetectionUniqueIdCalculator'
input_stream: 'DETECTION_LIST:input_detections'
output_stream: 'DETECTION_LIST:output_detections'
}
"""
config_proto = text_format.Parse(text_config,
calculator_pb2.CalculatorGraphConfig())
with solution_base.SolutionBase(graph_config=config_proto) as solution:
input_detections = detection_pb2.DetectionList()
detection_1 = input_detections.detection.add()
text_format.Parse('score: 0.5', detection_1)
detection_2 = input_detections.detection.add()
text_format.Parse('score: 0.8', detection_2)
results = solution.process({'input_detections': input_detections})
self.assertTrue(hasattr(results, 'output_detections'))
self.assertLen(results.output_detections.detection, 2)
expected_detection_1 = detection_pb2.Detection()
text_format.Parse('score: 0.5, detection_id: 1', expected_detection_1)
expected_detection_2 = detection_pb2.Detection()
text_format.Parse('score: 0.8, detection_id: 2', expected_detection_2)
self.assertEqual(results.output_detections.detection[0],
expected_detection_1)
self.assertEqual(results.output_detections.detection[1],
expected_detection_2)
def test_invalid_calculator_options(self):
text_config = """
input_stream: 'image_in'
output_stream: 'image_out'
node {
calculator: 'ImageTransformationCalculator'
input_stream: 'IMAGE:image_in'
output_stream: 'IMAGE:transformed_image_in'
}
node {
name: 'SignalGate'
calculator: 'GateCalculator'
input_stream: 'transformed_image_in'
input_side_packet: 'ALLOW:allow_signal'
output_stream: 'image_out_to_transform'
}
node {
calculator: 'ImageTransformationCalculator'
input_stream: 'IMAGE:image_out_to_transform'
output_stream: 'IMAGE:image_out'
}
"""
config_proto = text_format.Parse(
text_config, calculator_pb2.CalculatorGraphConfig())
with self.assertRaisesRegex(
ValueError,
'Modifying the calculator options of SignalGate is not supported.'
):
solution_base.SolutionBase(
graph_config=config_proto,
calculator_params={'SignalGate.invalid_field': 'I am invalid'})
def test_solution_reset(self, text_config, side_inputs):
config_proto = text_format.Parse(text_config,
calculator_pb2.CalculatorGraphConfig())
input_image = np.arange(27, dtype=np.uint8).reshape(3, 3, 3)
with solution_base.SolutionBase(
graph_config=config_proto, side_inputs=side_inputs) as solution:
for _ in range(20):
outputs = solution.process(input_image)
self.assertTrue(np.array_equal(input_image, outputs.image_out))
solution.reset()
def test_calculator_has_both_options_and_node_options(self):
config_proto = text_format.Parse(CALCULATOR_OPTIONS_TEST_GRAPH_CONFIG,
calculator_pb2.CalculatorGraphConfig())
with self.assertRaisesRegex(ValueError,
'has both options and node_options fields.'):
solution_base.SolutionBase(
graph_config=config_proto,
calculator_params={
'ImageTransformation.output_width': 0,
'ImageTransformation.output_height': 0
})
def _initialize_graph_interface(
self,
validated_graph: validated_graph_config.ValidatedGraphConfig,
side_inputs: Optional[Mapping[str, Any]] = None,
outputs: Optional[List[str]] = None):
"""Gets graph interface type information and returns the canonical graph config proto."""
canonical_graph_config_proto = calculator_pb2.CalculatorGraphConfig()
canonical_graph_config_proto.ParseFromString(
validated_graph.binary_config)
# Gets name from a 'TAG:index:name' str.
def get_name(tag_index_name):
return tag_index_name.split(':')[-1]
# Gets the packet type information of the input streams and output streams
# from the validated calculator graph. The mappings from the stream names to
# the packet data types is for deciding which packet creator and getter
# methods to call in the process() method.
def get_stream_packet_type(packet_tag_index_name):
return _PacketDataType.from_registered_name(
validated_graph.registered_stream_type_name(
get_name(packet_tag_index_name)))
self._input_stream_type_info = {
get_name(tag_index_name): get_stream_packet_type(tag_index_name)
for tag_index_name in canonical_graph_config_proto.input_stream
}
if not outputs:
output_streams = canonical_graph_config_proto.output_stream
else:
output_streams = outputs
self._output_stream_type_info = {
get_name(tag_index_name): get_stream_packet_type(tag_index_name)
for tag_index_name in output_streams
}
# Gets the packet type information of the input side packets from the
# validated calculator graph. The mappings from the side packet names to the
# packet data types is for making the input_side_packets dict for graph
# start_run().
def get_side_packet_type(packet_tag_index_name):
return _PacketDataType.from_registered_name(
validated_graph.registered_side_packet_type_name(
get_name(packet_tag_index_name)))
self._side_input_type_info = {
get_name(tag_index_name): get_side_packet_type(tag_index_name)
for tag_index_name, _ in (side_inputs or {}).items()
}
return canonical_graph_config_proto
def test_modifying_calculator_proto3_node_options(self):
config_proto = text_format.Parse(
CALCULATOR_OPTIONS_TEST_GRAPH_CONFIG,
calculator_pb2.CalculatorGraphConfig())
# To test proto3 node options only, remove the proto2 options field from the
# graph config.
self.assertEqual('ImageTransformation', config_proto.node[0].name)
config_proto.node[0].ClearField('options')
self._process_and_verify(config_proto=config_proto,
calculator_params={
'ImageTransformation.output_width': 0,
'ImageTransformation.output_height': 0
})
def main():
args = get_args()
logzero.loglevel(eval('logging.{}'.format(args.log_level)))
graph_configs = []
for graph in args.graphs:
graph_config = calculator_pb2.CalculatorGraphConfig()
text_format.Merge(open(graph).read(), graph_config)
logger.info(graph_config)
graph_configs.append(graph_config)
graph = CalculatorGraph()
graph.initialize(graph_configs[0], graph_configs[1:])
graph.start_run(args.input_side_packet, None, True)
def testInvalidCalculatorType(self):
text_config = """
node {
calculator: 'SomeUnknownCalculator'
input_stream: 'in'
output_stream: 'out'
}
"""
config_proto = calculator_pb2.CalculatorGraphConfig()
text_format.Parse(text_config, config_proto)
with self.assertRaisesRegex(
RuntimeError, 'Unable to find Calculator \"SomeUnknownCalculator\"'):
mp.CalculatorGraph(graph_config=config_proto)
def test_invalid_initialization_arguments(self):
with self.assertRaisesRegex(
ValueError,
'Must provide exactly one of \'binary_graph_path\' or \'graph_config\'.'
):
solution_base.SolutionBase()
with self.assertRaisesRegex(
ValueError,
'Must provide exactly one of \'binary_graph_path\' or \'graph_config\'.'
):
solution_base.SolutionBase(
graph_config=calculator_pb2.CalculatorGraphConfig(),
binary_graph_path='/tmp/no_such.binarypb')
def testInvalidNodeConfig(self):
text_config = """
node {
calculator: 'PassThroughCalculator'
input_stream: 'in'
input_stream: 'in'
output_stream: 'out'
}
"""
config_proto = calculator_pb2.CalculatorGraphConfig()
text_format.Parse(text_config, config_proto)
with self.assertRaisesRegex(
ValueError,
'Input and output streams to PassThroughCalculator must use matching tags and indexes.'
):
mp.CalculatorGraph(graph_config=config_proto)
def testSidePacketGraph(self):
text_config = """
node {
calculator: 'StringToUint64Calculator'
input_side_packet: "string"
output_side_packet: "number"
}
"""
config_proto = calculator_pb2.CalculatorGraphConfig()
text_format.Parse(text_config, config_proto)
graph = mp.CalculatorGraph(graph_config=config_proto)
graph.start_run(
input_side_packets={'string': mp.packet_creator.create_string('42')})
graph.wait_until_done()
self.assertFalse(graph.has_error())
self.assertEqual(
mp.packet_getter.get_uint(graph.get_output_side_packet('number')), 42)
def test_invalid_input_data_type(self):
text_config = """
input_stream: 'input_detections'
output_stream: 'output_detections'
node {
calculator: 'DetectionUniqueIdCalculator'
input_stream: 'DETECTIONS:input_detections'
output_stream: 'DETECTIONS:output_detections'
}
"""
config_proto = text_format.Parse(
text_config, calculator_pb2.CalculatorGraphConfig())
with solution_base.SolutionBase(graph_config=config_proto) as solution:
detection = detection_pb2.Detection()
text_format.Parse('score: 0.5', detection)
with self.assertRaisesRegex(
NotImplementedError,
'SolutionBase can only process image data. PROTO_LIST type is not supported.'
):
solution.process({'input_detections': detection})
def test_invalid_input_image_data(self):
text_config = """
input_stream: 'image_in'
output_stream: 'image_out'
node {
calculator: 'ImageTransformationCalculator'
input_stream: 'IMAGE:image_in'
output_stream: 'IMAGE:transformed_image_in'
}
node {
calculator: 'ImageTransformationCalculator'
input_stream: 'IMAGE:transformed_image_in'
output_stream: 'IMAGE:image_out'
}
"""
config_proto = text_format.Parse(text_config,
calculator_pb2.CalculatorGraphConfig())
with solution_base.SolutionBase(graph_config=config_proto) as solution:
with self.assertRaisesRegex(
ValueError, 'Input image must contain three channel rgb data.'):
solution.process(np.arange(36, dtype=np.uint8).reshape(3, 3, 4))
}
}
# Subgraph that detections objects (see object_detection_cpu.pbtxt).
node {
calculator: "ObjectDetectionSubgraphCpu"
input_stream: "IMAGE:throttled_input_video"
output_stream: "DETECTIONS:output_detections"
}
# Subgraph that tracks objects (see object_tracking_cpu.pbtxt).
node {
calculator: "ObjectTrackingSubgraphCpu"
input_stream: "VIDEO:input_video"
input_stream: "DETECTIONS:output_detections"
output_stream: "DETECTIONS:tracked_detections"
}
# Subgraph that renders annotations and overlays them on top of input images (see renderer_cpu.pbtxt).
node {
calculator: "RendererSubgraphCpu"
input_stream: "IMAGE:input_video"
input_stream: "DETECTIONS:tracked_detections"
output_stream: "IMAGE:output_video"
}
"""
import mediapipe.framework.calculator_pb2 as calculator_pb2
from google.protobuf import text_format
graph = calculator_pb2.CalculatorGraphConfig()
text_format.Merge(pb, graph)
print(graph)
def test_invalid_config(self, text_config, error_type, error_message):
config_proto = text_format.Parse(
text_config, calculator_pb2.CalculatorGraphConfig())
with self.assertRaisesRegex(error_type, error_message):
solution_base.SolutionBase(graph_config=config_proto)
def test_solution_process(self, text_config, side_inputs):
self._process_and_verify(config_proto=text_format.Parse(
text_config, calculator_pb2.CalculatorGraphConfig()),
side_inputs=side_inputs)
