Merge pull request #4818 from markmcd:ios-docgen

PiperOrigin-RevId: 576628799
This commit is contained in:
Copybara-Service 2023-10-25 14:00:39 -07:00
commit 06dab1e526
10 changed files with 535 additions and 133 deletions

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@ -0,0 +1,342 @@
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<?xml version="1.0" encoding="UTF-8"?>
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@ -0,0 +1,17 @@
//
// MediaPipeTasksDocGen.h
// MediaPipeTasksDocGen
//
// Created by Mark McDonald on 20/9/2023.
//
#import <Foundation/Foundation.h>
//! Project version number for MediaPipeTasksDocGen.
FOUNDATION_EXPORT double MediaPipeTasksDocGenVersionNumber;
//! Project version string for MediaPipeTasksDocGen.
FOUNDATION_EXPORT const unsigned char MediaPipeTasksDocGenVersionString[];
// In this header, you should import all the public headers of your framework using statements like
// #import <MediaPipeTasksDocGen/PublicHeader.h>

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@ -0,0 +1,11 @@
# Uncomment the next line to define a global platform for your project
platform :ios, '15.0'
target 'MediaPipeTasksDocGen' do
# Comment the next line if you don't want to use dynamic frameworks
use_frameworks!
# Pods for MediaPipeTasksDocGen
pod 'MediaPipeTasksText'
pod 'MediaPipeTasksVision'
end

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@ -0,0 +1,9 @@
# MediaPipeTasksDocGen
This empty project is used to generate reference documentation for the
ObjectiveC and Swift libraries.
Docs are generated using [Jazzy](https://github.com/realm/jazzy) and published
to [the developer site](https://developers.google.com/mediapipe/solutions/).
To bump the API version used, edit [`Podfile`](./Podfile).

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@ -1480,7 +1480,6 @@ cc_test(
"@com_google_absl//absl/log", "@com_google_absl//absl/log",
"@com_google_absl//absl/log:absl_log", "@com_google_absl//absl/log:absl_log",
"@com_google_absl//absl/strings", "@com_google_absl//absl/strings",
"@com_google_googletest//:gtest_main",
], ],
) )

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@ -60,29 +60,22 @@ struct FormattingTestCase {
std::vector<float> inputs; std::vector<float> inputs;
std::vector<float> expected_outputs; std::vector<float> expected_outputs;
Options::Activation activation; Options::Activation activation;
int rows; int rows = 1;
int cols; int cols = 1;
int rows_new; int rows_new = 1;
int cols_new; int cols_new = 1;
int channels; int channels = 1;
double max_abs_diff; double max_abs_diff = 1e-7;
}; };
using TensorsToSegmentationCalculatorTest = TestWithParam<FormattingTestCase>; using TensorsToSegmentationCalculatorTest = TestWithParam<FormattingTestCase>;
TEST_P(TensorsToSegmentationCalculatorTest, ParameterizedTests) { TEST_P(TensorsToSegmentationCalculatorTest, ParameterizedTests) {
const FormattingTestCase& test_case = GetParam(); const auto& [test_name, inputs, expected_outputs, activation, rows, cols,
std::vector<float> inputs = test_case.inputs; rows_new, cols_new, channels, max_abs_diff] = GetParam();
std::vector<float> expected_outputs = test_case.expected_outputs;
Options::Activation activation = test_case.activation;
int rows = test_case.rows;
int cols = test_case.cols;
int rows_new = test_case.rows_new;
int cols_new = test_case.cols_new;
int channels = test_case.channels;
double max_abs_diff = test_case.max_abs_diff;
std::string string_config = absl::Substitute( auto graph_config =
mediapipe::ParseTextProtoOrDie<CalculatorGraphConfig>(absl::Substitute(
R"pb( R"pb(
input_stream: "tensors" input_stream: "tensors"
input_stream: "size" input_stream: "size"
@ -98,9 +91,7 @@ TEST_P(TensorsToSegmentationCalculatorTest, ParameterizedTests) {
} }
} }
)pb", )pb",
ActivationTypeToString(activation)); ActivationTypeToString(activation)));
auto graph_config =
mediapipe::ParseTextProtoOrDie<CalculatorGraphConfig>(string_config);
std::vector<Packet> output_packets; std::vector<Packet> output_packets;
tool::AddVectorSink("image_as_mask", &graph_config, &output_packets); tool::AddVectorSink("image_as_mask", &graph_config, &output_packets);
@ -124,6 +115,7 @@ TEST_P(TensorsToSegmentationCalculatorTest, ParameterizedTests) {
MP_ASSERT_OK(graph.AddPacketToInputStream( MP_ASSERT_OK(graph.AddPacketToInputStream(
"tensors", mediapipe::Adopt(tensors.release()).At(Timestamp(0)))); "tensors", mediapipe::Adopt(tensors.release()).At(Timestamp(0))));
} }
// The output size is defined as pair(new_width, new_height). // The output size is defined as pair(new_width, new_height).
MP_ASSERT_OK(graph.AddPacketToInputStream( MP_ASSERT_OK(graph.AddPacketToInputStream(
"size", mediapipe::Adopt(new std::pair<int, int>(cols_new, rows_new)) "size", mediapipe::Adopt(new std::pair<int, int>(cols_new, rows_new))
@ -132,6 +124,8 @@ TEST_P(TensorsToSegmentationCalculatorTest, ParameterizedTests) {
ASSERT_THAT(output_packets, SizeIs(1)); ASSERT_THAT(output_packets, SizeIs(1));
const Image& image_as_mask = output_packets[0].Get<Image>(); const Image& image_as_mask = output_packets[0].Get<Image>();
EXPECT_FALSE(image_as_mask.UsesGpu());
std::shared_ptr<cv::Mat> result_mat = formats::MatView(&image_as_mask); std::shared_ptr<cv::Mat> result_mat = formats::MatView(&image_as_mask);
EXPECT_EQ(result_mat->rows, rows_new); EXPECT_EQ(result_mat->rows, rows_new);
EXPECT_EQ(result_mat->cols, cols_new); EXPECT_EQ(result_mat->cols, cols_new);
@ -157,8 +151,8 @@ TEST_P(TensorsToSegmentationCalculatorTest, ParameterizedTests) {
INSTANTIATE_TEST_SUITE_P( INSTANTIATE_TEST_SUITE_P(
TensorsToSegmentationCalculatorTests, TensorsToSegmentationCalculatorTest, TensorsToSegmentationCalculatorTests, TensorsToSegmentationCalculatorTest,
testing::ValuesIn<FormattingTestCase>( testing::ValuesIn<FormattingTestCase>({
{{/*test_name=*/"NoActivationAndNoOutputResize", {/*test_name=*/"NoActivationAndNoOutputResize",
/*inputs=*/ /*inputs=*/
{1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, {1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0,
14.0, 15.0, 16.0}, 14.0, 15.0, 16.0},
@ -254,7 +248,8 @@ INSTANTIATE_TEST_SUITE_P(
/*rows_new=*/5, /*rows_new=*/5,
/*cols_new=*/6, /*cols_new=*/6,
/*channels=*/2, /*channels=*/2,
/*max_abs_diff=*/1e-6}}), /*max_abs_diff=*/1e-6},
}),
[](const testing::TestParamInfo< [](const testing::TestParamInfo<
TensorsToSegmentationCalculatorTest::ParamType>& info) { TensorsToSegmentationCalculatorTest::ParamType>& info) {
return info.param.test_name; return info.param.test_name;