mediapipe/mediapipe/python/calculator_graph_test.py
MediaPipe Team 4dc4b19ddb Project import generated by Copybara.
GitOrigin-RevId: 1e13be30e2c6838d4a2ff768a39c414bc80534bb
2022-09-06 21:46:17 +00:00

252 lines
8.7 KiB
Python

# Copyright 2020 The MediaPipe Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Tests for mediapipe.python._framework_bindings.calculator_graph."""
from absl.testing import absltest
from google.protobuf import text_format
from mediapipe.framework import calculator_pb2
from mediapipe.python import packet_creator
from mediapipe.python import packet_getter
from mediapipe.python._framework_bindings import calculator_graph
from mediapipe.python._framework_bindings import validated_graph_config
CalculatorGraph = calculator_graph.CalculatorGraph
ValidatedGraphConfig = validated_graph_config.ValidatedGraphConfig
class GraphTest(absltest.TestCase):
def test_invalid_binary_graph_file(self):
with self.assertRaisesRegex(
FileNotFoundError,
'(No such file or directory|The path does not exist)'):
CalculatorGraph(binary_graph_path='/tmp/abc.binarypb')
def test_invalid_node_config(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.'
):
CalculatorGraph(graph_config=config_proto)
def test_invalid_calculator_type(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\"'):
CalculatorGraph(graph_config=config_proto)
def test_graph_initialized_with_proto_config(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 = CalculatorGraph(graph_config=config_proto)
hello_world_packet = packet_creator.create_string('hello world')
out = []
graph = 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,
calculator_graph.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(packet_getter.get_str(out[0]), 'hello world')
self.assertEqual(packet_getter.get_str(out[1]), 'hello world')
def test_graph_initialized_with_text_config(self):
text_config = """
max_queue_size: 1
input_stream: 'in'
output_stream: 'out'
node {
calculator: 'PassThroughCalculator'
input_stream: 'in'
output_stream: 'out'
}
"""
hello_world_packet = packet_creator.create_string('hello world')
out = []
graph = CalculatorGraph(graph_config=text_config)
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.add_packet_to_input_stream(
stream='in', packet=hello_world_packet, timestamp=1)
graph.close()
self.assertEqual(
graph.graph_input_stream_add_mode,
calculator_graph.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(packet_getter.get_str(out[0]), 'hello world')
self.assertEqual(packet_getter.get_str(out[1]), 'hello world')
def test_graph_validation_and_initialization(self):
text_config = """
max_queue_size: 1
input_stream: 'in'
output_stream: 'out'
node {
calculator: 'PassThroughCalculator'
input_stream: 'in'
output_stream: 'out'
}
"""
hello_world_packet = packet_creator.create_string('hello world')
out = []
validated_graph = ValidatedGraphConfig()
self.assertFalse(validated_graph.initialized())
validated_graph.initialize(graph_config=text_config)
self.assertTrue(validated_graph.initialized())
graph = CalculatorGraph(validated_graph_config=validated_graph)
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.add_packet_to_input_stream(
stream='in', packet=hello_world_packet, timestamp=1)
graph.close()
self.assertEqual(
graph.graph_input_stream_add_mode,
calculator_graph.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(packet_getter.get_str(out[0]), 'hello world')
self.assertEqual(packet_getter.get_str(out[1]), 'hello world')
def test_insert_packets_with_same_timestamp(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 = packet_creator.create_string('hello world')
out = []
graph = 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_side_packet_graph(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 = CalculatorGraph(graph_config=config_proto)
graph.start_run(
input_side_packets={'string': packet_creator.create_string('42')})
graph.wait_until_done()
self.assertFalse(graph.has_error())
self.assertEqual(
packet_getter.get_uint(graph.get_output_side_packet('number')), 42)
def test_sequence_input(self):
text_config = """
max_queue_size: 1
input_stream: 'in'
output_stream: 'out'
node {
calculator: 'PassThroughCalculator'
input_stream: 'in'
output_stream: 'out'
}
"""
hello_world_packet = packet_creator.create_string('hello world')
out = []
graph = CalculatorGraph(graph_config=text_config)
graph.observe_output_stream('out', lambda _, packet: out.append(packet))
graph.start_run()
sequence_size = 1000
for i in range(sequence_size):
graph.add_packet_to_input_stream(
stream='in', packet=hello_world_packet, timestamp=i)
graph.wait_until_idle()
self.assertLen(out, sequence_size)
for i in range(sequence_size):
self.assertEqual(out[i].timestamp, i)
self.assertEqual(packet_getter.get_str(out[i]), 'hello world')
if __name__ == '__main__':
absltest.main()