Project import generated by Copybara.
GitOrigin-RevId: 5b23708185311ae39a8605b0c2eff721e7b4939f
This commit is contained in:
@@ -316,6 +316,37 @@ cc_library(
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alwayslink = 1,
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)
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cc_library(
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name = "concatenate_normalized_landmark_list_calculator",
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srcs = ["concatenate_normalized_landmark_list_calculator.cc"],
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visibility = ["//visibility:public"],
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deps = [
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":concatenate_vector_calculator_cc_proto",
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"//mediapipe/framework:calculator_framework",
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"//mediapipe/framework/formats:landmark_cc_proto",
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"//mediapipe/framework/port:ret_check",
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"//mediapipe/framework/port:status",
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],
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alwayslink = 1,
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)
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cc_test(
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name = "concatenate_normalized_landmark_list_calculator_test",
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srcs = ["concatenate_normalized_landmark_list_calculator_test.cc"],
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deps = [
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":concatenate_normalized_landmark_list_calculator",
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":concatenate_vector_calculator_cc_proto",
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"//mediapipe/framework:calculator_framework",
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"//mediapipe/framework:calculator_runner",
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"//mediapipe/framework:timestamp",
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"//mediapipe/framework/formats:landmark_cc_proto",
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"//mediapipe/framework/port:gtest_main",
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"//mediapipe/framework/port:parse_text_proto",
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"//mediapipe/framework/port:status",
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"@com_google_absl//absl/strings",
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],
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)
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cc_test(
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name = "concatenate_vector_calculator_test",
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srcs = ["concatenate_vector_calculator_test.cc"],
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@@ -0,0 +1,84 @@
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// Copyright 2019 The MediaPipe Authors.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#ifndef MEDIAPIPE_CALCULATORS_CORE_CONCATENATE_NORMALIZED_LIST_CALCULATOR_H_ // NOLINT
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#define MEDIAPIPE_CALCULATORS_CORE_CONCATENATE_NORMALIZED_LIST_CALCULATOR_H_ // NOLINT
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#include "mediapipe/calculators/core/concatenate_vector_calculator.pb.h"
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#include "mediapipe/framework/calculator_framework.h"
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#include "mediapipe/framework/formats/landmark.pb.h"
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#include "mediapipe/framework/port/canonical_errors.h"
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#include "mediapipe/framework/port/ret_check.h"
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#include "mediapipe/framework/port/status.h"
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namespace mediapipe {
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// Concatenates several NormalizedLandmarkList protos following stream index
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// order. This class assumes that every input stream contains a
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// NormalizedLandmarkList proto object.
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class ConcatenateNormalizedLandmarkListCalculator : public CalculatorBase {
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public:
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static ::mediapipe::Status GetContract(CalculatorContract* cc) {
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RET_CHECK(cc->Inputs().NumEntries() != 0);
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RET_CHECK(cc->Outputs().NumEntries() == 1);
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for (int i = 0; i < cc->Inputs().NumEntries(); ++i) {
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cc->Inputs().Index(i).Set<NormalizedLandmarkList>();
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}
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cc->Outputs().Index(0).Set<NormalizedLandmarkList>();
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return ::mediapipe::OkStatus();
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}
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::mediapipe::Status Open(CalculatorContext* cc) override {
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cc->SetOffset(TimestampDiff(0));
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only_emit_if_all_present_ =
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cc->Options<::mediapipe::ConcatenateVectorCalculatorOptions>()
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.only_emit_if_all_present();
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return ::mediapipe::OkStatus();
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}
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::mediapipe::Status Process(CalculatorContext* cc) override {
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if (only_emit_if_all_present_) {
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for (int i = 0; i < cc->Inputs().NumEntries(); ++i) {
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if (cc->Inputs().Index(i).IsEmpty()) return ::mediapipe::OkStatus();
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}
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}
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NormalizedLandmarkList output;
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for (int i = 0; i < cc->Inputs().NumEntries(); ++i) {
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if (cc->Inputs().Index(i).IsEmpty()) continue;
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const NormalizedLandmarkList& input =
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cc->Inputs().Index(i).Get<NormalizedLandmarkList>();
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for (int j = 0; j < input.landmark_size(); ++j) {
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const NormalizedLandmark& input_landmark = input.landmark(j);
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*output.add_landmark() = input_landmark;
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}
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}
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cc->Outputs().Index(0).AddPacket(
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MakePacket<NormalizedLandmarkList>(output).At(cc->InputTimestamp()));
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return ::mediapipe::OkStatus();
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}
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private:
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bool only_emit_if_all_present_;
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};
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REGISTER_CALCULATOR(ConcatenateNormalizedLandmarkListCalculator);
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} // namespace mediapipe
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// NOLINTNEXTLINE
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#endif // MEDIAPIPE_CALCULATORS_CORE_CONCATENATE_NORMALIZED_LIST_CALCULATOR_H_
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@@ -0,0 +1,184 @@
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// Copyright 2019 The MediaPipe Authors.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include <memory>
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#include <string>
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#include <vector>
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#include "mediapipe/framework/calculator_framework.h"
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#include "mediapipe/framework/calculator_runner.h"
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#include "mediapipe/framework/formats/landmark.pb.h"
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#include "mediapipe/framework/port/gmock.h"
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#include "mediapipe/framework/port/gtest.h"
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#include "mediapipe/framework/port/parse_text_proto.h"
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#include "mediapipe/framework/port/status_matchers.h" // NOLINT
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namespace mediapipe {
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constexpr float kLocationValue = 3;
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NormalizedLandmarkList GenerateLandmarks(int landmarks_size,
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int value_multiplier) {
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NormalizedLandmarkList landmarks;
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for (int i = 0; i < landmarks_size; ++i) {
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NormalizedLandmark* landmark = landmarks.add_landmark();
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landmark->set_x(value_multiplier * kLocationValue);
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landmark->set_y(value_multiplier * kLocationValue);
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landmark->set_z(value_multiplier * kLocationValue);
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}
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return landmarks;
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}
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void ValidateCombinedLandmarks(
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const std::vector<NormalizedLandmarkList>& inputs,
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const NormalizedLandmarkList& result) {
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int element_id = 0;
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int expected_size = 0;
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for (int i = 0; i < inputs.size(); ++i) {
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const NormalizedLandmarkList& landmarks_i = inputs[i];
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expected_size += landmarks_i.landmark_size();
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for (int j = 0; j < landmarks_i.landmark_size(); ++j) {
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const NormalizedLandmark& expected = landmarks_i.landmark(j);
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const NormalizedLandmark& got = result.landmark(element_id);
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EXPECT_FLOAT_EQ(expected.x(), got.x());
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EXPECT_FLOAT_EQ(expected.y(), got.y());
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EXPECT_FLOAT_EQ(expected.z(), got.z());
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++element_id;
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}
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}
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EXPECT_EQ(expected_size, result.landmark_size());
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}
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void AddInputLandmarkLists(
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const std::vector<NormalizedLandmarkList>& input_landmarks_vec,
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int64 timestamp, CalculatorRunner* runner) {
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for (int i = 0; i < input_landmarks_vec.size(); ++i) {
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runner->MutableInputs()->Index(i).packets.push_back(
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MakePacket<NormalizedLandmarkList>(input_landmarks_vec[i])
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.At(Timestamp(timestamp)));
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}
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}
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TEST(ConcatenateNormalizedLandmarkListCalculatorTest, EmptyVectorInputs) {
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CalculatorRunner runner("ConcatenateNormalizedLandmarkListCalculator",
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/*options_string=*/"", /*num_inputs=*/3,
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/*num_outputs=*/1, /*num_side_packets=*/0);
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NormalizedLandmarkList empty_list;
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std::vector<NormalizedLandmarkList> inputs = {empty_list, empty_list,
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empty_list};
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AddInputLandmarkLists(inputs, /*timestamp=*/1, &runner);
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MP_ASSERT_OK(runner.Run());
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const std::vector<Packet>& outputs = runner.Outputs().Index(0).packets;
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EXPECT_EQ(1, outputs.size());
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EXPECT_EQ(0, outputs[0].Get<NormalizedLandmarkList>().landmark_size());
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EXPECT_EQ(Timestamp(1), outputs[0].Timestamp());
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}
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TEST(ConcatenateNormalizedLandmarkListCalculatorTest, OneTimestamp) {
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CalculatorRunner runner("ConcatenateNormalizedLandmarkListCalculator",
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/*options_string=*/"", /*num_inputs=*/3,
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/*num_outputs=*/1, /*num_side_packets=*/0);
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NormalizedLandmarkList input_0 =
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GenerateLandmarks(/*landmarks_size=*/3, /*value_multiplier=*/0);
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NormalizedLandmarkList input_1 =
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GenerateLandmarks(/*landmarks_size=*/1, /*value_multiplier=*/1);
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NormalizedLandmarkList input_2 =
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GenerateLandmarks(/*landmarks_size=*/2, /*value_multiplier=*/2);
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std::vector<NormalizedLandmarkList> inputs = {input_0, input_1, input_2};
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AddInputLandmarkLists(inputs, /*timestamp=*/1, &runner);
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MP_ASSERT_OK(runner.Run());
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const std::vector<Packet>& outputs = runner.Outputs().Index(0).packets;
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EXPECT_EQ(1, outputs.size());
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EXPECT_EQ(Timestamp(1), outputs[0].Timestamp());
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const NormalizedLandmarkList& result =
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outputs[0].Get<NormalizedLandmarkList>();
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ValidateCombinedLandmarks(inputs, result);
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}
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TEST(ConcatenateNormalizedLandmarkListCalculatorTest,
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TwoInputsAtTwoTimestamps) {
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CalculatorRunner runner("ConcatenateNormalizedLandmarkListCalculator",
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/*options_string=*/"", /*num_inputs=*/3,
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/*num_outputs=*/1, /*num_side_packets=*/0);
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NormalizedLandmarkList input_0 =
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GenerateLandmarks(/*landmarks_size=*/3, /*value_multiplier=*/0);
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NormalizedLandmarkList input_1 =
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GenerateLandmarks(/*landmarks_size=*/1, /*value_multiplier=*/1);
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NormalizedLandmarkList input_2 =
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GenerateLandmarks(/*landmarks_size=*/2, /*value_multiplier=*/2);
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std::vector<NormalizedLandmarkList> inputs = {input_0, input_1, input_2};
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{ AddInputLandmarkLists(inputs, /*timestamp=*/1, &runner); }
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{ AddInputLandmarkLists(inputs, /*timestamp=*/2, &runner); }
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MP_ASSERT_OK(runner.Run());
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const std::vector<Packet>& outputs = runner.Outputs().Index(0).packets;
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EXPECT_EQ(2, outputs.size());
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{
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EXPECT_EQ(Timestamp(1), outputs[0].Timestamp());
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const NormalizedLandmarkList& result =
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outputs[0].Get<NormalizedLandmarkList>();
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ValidateCombinedLandmarks(inputs, result);
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}
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{
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EXPECT_EQ(Timestamp(2), outputs[1].Timestamp());
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const NormalizedLandmarkList& result =
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outputs[1].Get<NormalizedLandmarkList>();
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ValidateCombinedLandmarks(inputs, result);
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}
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}
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TEST(ConcatenateNormalizedLandmarkListCalculatorTest,
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OneEmptyStreamStillOutput) {
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CalculatorRunner runner("ConcatenateNormalizedLandmarkListCalculator",
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/*options_string=*/"", /*num_inputs=*/2,
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/*num_outputs=*/1, /*num_side_packets=*/0);
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NormalizedLandmarkList input_0 =
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GenerateLandmarks(/*landmarks_size=*/3, /*value_multiplier=*/0);
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std::vector<NormalizedLandmarkList> inputs = {input_0};
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AddInputLandmarkLists(inputs, /*timestamp=*/1, &runner);
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MP_ASSERT_OK(runner.Run());
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const std::vector<Packet>& outputs = runner.Outputs().Index(0).packets;
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EXPECT_EQ(1, outputs.size());
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EXPECT_EQ(Timestamp(1), outputs[0].Timestamp());
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const NormalizedLandmarkList& result =
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outputs[0].Get<NormalizedLandmarkList>();
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ValidateCombinedLandmarks(inputs, result);
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}
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TEST(ConcatenateNormalizedLandmarkListCalculatorTest, OneEmptyStreamNoOutput) {
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CalculatorRunner runner("ConcatenateNormalizedLandmarkListCalculator",
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/*options_string=*/
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"[mediapipe.ConcatenateVectorCalculatorOptions.ext]: "
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"{only_emit_if_all_present: true}",
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/*num_inputs=*/2,
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/*num_outputs=*/1, /*num_side_packets=*/0);
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NormalizedLandmarkList input_0 =
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GenerateLandmarks(/*landmarks_size=*/3, /*value_multiplier=*/0);
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std::vector<NormalizedLandmarkList> inputs = {input_0};
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AddInputLandmarkLists(inputs, /*timestamp=*/1, &runner);
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MP_ASSERT_OK(runner.Run());
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const std::vector<Packet>& outputs = runner.Outputs().Index(0).packets;
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EXPECT_EQ(0, outputs.size());
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}
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} // namespace mediapipe
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@@ -630,3 +630,34 @@ cc_library(
|
||||
],
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||||
alwayslink = 1,
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||||
)
|
||||
|
||||
cc_library(
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||||
name = "image_file_properties_calculator",
|
||||
srcs = ["image_file_properties_calculator.cc"],
|
||||
visibility = ["//visibility:public"],
|
||||
deps = [
|
||||
"//mediapipe/framework:calculator_framework",
|
||||
"//mediapipe/framework/formats:image_file_properties_cc_proto",
|
||||
"//mediapipe/framework/port:ret_check",
|
||||
"//mediapipe/framework/port:status",
|
||||
"@easyexif",
|
||||
],
|
||||
alwayslink = 1,
|
||||
)
|
||||
|
||||
cc_test(
|
||||
name = "image_file_properties_calculator_test",
|
||||
srcs = ["image_file_properties_calculator_test.cc"],
|
||||
data = ["//mediapipe/calculators/image/testdata:test_images"],
|
||||
deps = [
|
||||
":image_file_properties_calculator",
|
||||
"//mediapipe/framework:calculator_framework",
|
||||
"//mediapipe/framework:calculator_runner",
|
||||
"//mediapipe/framework/deps:file_path",
|
||||
"//mediapipe/framework/formats:image_file_properties_cc_proto",
|
||||
"//mediapipe/framework/port:file_helpers",
|
||||
"//mediapipe/framework/port:gtest_main",
|
||||
"//mediapipe/framework/port:parse_text_proto",
|
||||
"//mediapipe/framework/port:status",
|
||||
],
|
||||
)
|
||||
|
||||
@@ -0,0 +1,195 @@
|
||||
// Copyright 2019 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.
|
||||
|
||||
#include <memory>
|
||||
|
||||
#include "exif.h"
|
||||
#include "mediapipe/framework/calculator_framework.h"
|
||||
#include "mediapipe/framework/formats/image_file_properties.pb.h"
|
||||
#include "mediapipe/framework/port/canonical_errors.h"
|
||||
#include "mediapipe/framework/port/status.h"
|
||||
|
||||
namespace mediapipe {
|
||||
|
||||
namespace {
|
||||
|
||||
// 35 MM sensor has dimensions 36 mm x 24 mm, so diagonal length is
|
||||
// sqrt(36^2 + 24^2).
|
||||
static const double SENSOR_DIAGONAL_35MM = std::sqrt(1872.0);
|
||||
|
||||
::mediapipe::StatusOr<double> ComputeFocalLengthInPixels(
|
||||
int image_width, int image_height, double focal_length_35mm,
|
||||
double focal_length_mm) {
|
||||
// TODO: Allow returning image file properties even when focal length
|
||||
// computation is not possible.
|
||||
if (image_width == 0 || image_height == 0) {
|
||||
return ::mediapipe::InternalError(
|
||||
"Image dimensions should be non-zero to compute focal length in "
|
||||
"pixels.");
|
||||
}
|
||||
if (focal_length_mm == 0) {
|
||||
return ::mediapipe::InternalError(
|
||||
"Focal length in mm should be non-zero to compute focal length in "
|
||||
"pixels.");
|
||||
}
|
||||
if (focal_length_35mm == 0) {
|
||||
return ::mediapipe::InternalError(
|
||||
"Focal length in 35 mm should be non-zero to compute focal length in "
|
||||
"pixels.");
|
||||
}
|
||||
// Derived from
|
||||
// https://en.wikipedia.org/wiki/35_mm_equivalent_focal_length#Calculation.
|
||||
/// Using focal_length_35mm = focal_length_mm * SENSOR_DIAGONAL_35MM /
|
||||
/// sensor_diagonal_mm, we can calculate the diagonal length of the sensor in
|
||||
/// millimeters i.e. sensor_diagonal_mm.
|
||||
double sensor_diagonal_mm =
|
||||
SENSOR_DIAGONAL_35MM / focal_length_35mm * focal_length_mm;
|
||||
// Note that for the following computations, the longer dimension is treated
|
||||
// as image width and the shorter dimension is treated as image height.
|
||||
int width = image_width;
|
||||
int height = image_height;
|
||||
if (image_height > image_width) {
|
||||
width = image_height;
|
||||
height = image_width;
|
||||
}
|
||||
double inv_aspect_ratio = (double)height / width;
|
||||
// Compute sensor width.
|
||||
/// Using Pythagoras theorem, sensor_width^2 + sensor_height^2 =
|
||||
/// sensor_diagonal_mm^2. We can substitute sensor_width / sensor_height with
|
||||
/// the aspect ratio calculated in pixels to compute the sensor width.
|
||||
double sensor_width = std::sqrt((sensor_diagonal_mm * sensor_diagonal_mm) /
|
||||
(1.0 + inv_aspect_ratio * inv_aspect_ratio));
|
||||
|
||||
// Compute focal length in pixels.
|
||||
double focal_length_pixels = width * focal_length_mm / sensor_width;
|
||||
return focal_length_pixels;
|
||||
}
|
||||
|
||||
::mediapipe::StatusOr<ImageFileProperties> GetImageFileProperites(
|
||||
const std::string& image_bytes) {
|
||||
easyexif::EXIFInfo result;
|
||||
int code = result.parseFrom(image_bytes);
|
||||
if (code) {
|
||||
return ::mediapipe::InternalError("Error parsing EXIF, code: " +
|
||||
std::to_string(code));
|
||||
}
|
||||
|
||||
ImageFileProperties properties;
|
||||
properties.set_image_width(result.ImageWidth);
|
||||
properties.set_image_height(result.ImageHeight);
|
||||
properties.set_focal_length_mm(result.FocalLength);
|
||||
properties.set_focal_length_35mm(result.FocalLengthIn35mm);
|
||||
|
||||
ASSIGN_OR_RETURN(auto focal_length_pixels,
|
||||
ComputeFocalLengthInPixels(properties.image_width(),
|
||||
properties.image_height(),
|
||||
properties.focal_length_35mm(),
|
||||
properties.focal_length_mm()));
|
||||
properties.set_focal_length_pixels(focal_length_pixels);
|
||||
|
||||
return properties;
|
||||
}
|
||||
|
||||
} // namespace
|
||||
|
||||
// Calculator to extract EXIF information from an image file. The input is
|
||||
// a std::string containing raw byte data from a file, and the output is an
|
||||
// ImageFileProperties proto object with the relevant fields filled in.
|
||||
// The calculator accepts the input as a stream or a side packet, and can output
|
||||
// the result as a stream or a side packet. The calculator checks that if an
|
||||
// output stream is present, it outputs to that stream, and if not, it checks if
|
||||
// it can output to a side packet.
|
||||
//
|
||||
// Example config with input and output streams:
|
||||
// node {
|
||||
// calculator: "ImageFilePropertiesCalculator"
|
||||
// input_stream: "image_bytes"
|
||||
// output_stream: "image_properties"
|
||||
// }
|
||||
// Example config with input and output side packets:
|
||||
// node {
|
||||
// calculator: "ImageFilePropertiesCalculator"
|
||||
// input_side_packet: "image_bytes"
|
||||
// output_side_packet: "image_properties"
|
||||
// }
|
||||
class ImageFilePropertiesCalculator : public CalculatorBase {
|
||||
public:
|
||||
static ::mediapipe::Status GetContract(CalculatorContract* cc) {
|
||||
if (cc->Inputs().NumEntries() != 0) {
|
||||
RET_CHECK(cc->Inputs().NumEntries() == 1);
|
||||
cc->Inputs().Index(0).Set<std::string>();
|
||||
} else {
|
||||
RET_CHECK(cc->InputSidePackets().NumEntries() == 1);
|
||||
cc->InputSidePackets().Index(0).Set<std::string>();
|
||||
}
|
||||
if (cc->Outputs().NumEntries() != 0) {
|
||||
RET_CHECK(cc->Outputs().NumEntries() == 1);
|
||||
cc->Outputs().Index(0).Set<::mediapipe::ImageFileProperties>();
|
||||
} else {
|
||||
RET_CHECK(cc->OutputSidePackets().NumEntries() == 1);
|
||||
cc->OutputSidePackets().Index(0).Set<::mediapipe::ImageFileProperties>();
|
||||
}
|
||||
|
||||
return ::mediapipe::OkStatus();
|
||||
}
|
||||
|
||||
::mediapipe::Status Open(CalculatorContext* cc) override {
|
||||
cc->SetOffset(TimestampDiff(0));
|
||||
|
||||
if (cc->InputSidePackets().NumEntries() == 1) {
|
||||
const std::string& image_bytes =
|
||||
cc->InputSidePackets().Index(0).Get<std::string>();
|
||||
ASSIGN_OR_RETURN(properties_, GetImageFileProperites(image_bytes));
|
||||
read_properties_ = true;
|
||||
}
|
||||
|
||||
if (read_properties_ && cc->OutputSidePackets().NumEntries() == 1) {
|
||||
cc->OutputSidePackets().Index(0).Set(
|
||||
MakePacket<ImageFileProperties>(properties_));
|
||||
}
|
||||
|
||||
return ::mediapipe::OkStatus();
|
||||
}
|
||||
|
||||
::mediapipe::Status Process(CalculatorContext* cc) override {
|
||||
if (cc->Inputs().NumEntries() == 1) {
|
||||
if (cc->Inputs().Index(0).IsEmpty()) {
|
||||
return ::mediapipe::OkStatus();
|
||||
}
|
||||
const std::string& image_bytes = cc->Inputs().Index(0).Get<std::string>();
|
||||
ASSIGN_OR_RETURN(properties_, GetImageFileProperites(image_bytes));
|
||||
read_properties_ = true;
|
||||
}
|
||||
if (read_properties_) {
|
||||
if (cc->Outputs().NumEntries() == 1) {
|
||||
cc->Outputs().Index(0).AddPacket(
|
||||
MakePacket<ImageFileProperties>(properties_)
|
||||
.At(cc->InputTimestamp()));
|
||||
} else {
|
||||
cc->OutputSidePackets().Index(0).Set(
|
||||
MakePacket<ImageFileProperties>(properties_)
|
||||
.At(::mediapipe::Timestamp::Unset()));
|
||||
}
|
||||
}
|
||||
|
||||
return ::mediapipe::OkStatus();
|
||||
}
|
||||
|
||||
private:
|
||||
ImageFileProperties properties_;
|
||||
bool read_properties_ = false;
|
||||
};
|
||||
REGISTER_CALCULATOR(ImageFilePropertiesCalculator);
|
||||
|
||||
} // namespace mediapipe
|
||||
@@ -0,0 +1,134 @@
|
||||
// Copyright 2018 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.
|
||||
|
||||
#include <math.h>
|
||||
|
||||
#include <cmath>
|
||||
#include <limits>
|
||||
|
||||
#include "mediapipe/framework/calculator_framework.h"
|
||||
#include "mediapipe/framework/calculator_runner.h"
|
||||
#include "mediapipe/framework/deps/file_path.h"
|
||||
#include "mediapipe/framework/formats/image_file_properties.pb.h"
|
||||
#include "mediapipe/framework/port/file_helpers.h"
|
||||
#include "mediapipe/framework/port/gmock.h"
|
||||
#include "mediapipe/framework/port/gtest.h"
|
||||
#include "mediapipe/framework/port/parse_text_proto.h"
|
||||
#include "mediapipe/framework/port/status_matchers.h"
|
||||
|
||||
namespace mediapipe {
|
||||
|
||||
namespace {
|
||||
|
||||
constexpr char kImageFilePath[] =
|
||||
"/mediapipe/calculators/image/testdata/"
|
||||
"front_camera_pixel2.jpg";
|
||||
constexpr int kExpectedWidth = 2448;
|
||||
constexpr int kExpectedHeight = 3264;
|
||||
constexpr double kExpectedFocalLengthMm = 3.38;
|
||||
constexpr double kExpectedFocalLengthIn35Mm = 25;
|
||||
constexpr double kExpectedFocalLengthPixels = 2357.48;
|
||||
|
||||
double RoundToNDecimals(double value, int n) {
|
||||
return std::round(value * pow(10.0, n)) / pow(10.0, n);
|
||||
}
|
||||
|
||||
TEST(ImageFilePropertiesCalculatorTest, ReadsFocalLengthFromJpegInStreams) {
|
||||
std::string image_filepath = file::JoinPath("./", kImageFilePath);
|
||||
std::string image_contents;
|
||||
MP_ASSERT_OK(file::GetContents(image_filepath, &image_contents));
|
||||
|
||||
CalculatorGraphConfig::Node node_config =
|
||||
ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
|
||||
calculator: "ImageFilePropertiesCalculator"
|
||||
input_stream: "image_bytes"
|
||||
output_stream: "properties"
|
||||
)");
|
||||
|
||||
CalculatorRunner runner(node_config);
|
||||
runner.MutableInputs()->Index(0).packets.push_back(
|
||||
MakePacket<std::string>(image_contents).At(Timestamp(0)));
|
||||
MP_ASSERT_OK(runner.Run());
|
||||
const auto& outputs = runner.Outputs();
|
||||
ASSERT_EQ(1, outputs.NumEntries());
|
||||
const std::vector<Packet>& packets = outputs.Index(0).packets;
|
||||
ASSERT_EQ(1, packets.size());
|
||||
const auto& result = packets[0].Get<::mediapipe::ImageFileProperties>();
|
||||
EXPECT_EQ(kExpectedWidth, result.image_width());
|
||||
EXPECT_EQ(kExpectedHeight, result.image_height());
|
||||
EXPECT_DOUBLE_EQ(kExpectedFocalLengthMm, result.focal_length_mm());
|
||||
EXPECT_DOUBLE_EQ(kExpectedFocalLengthIn35Mm, result.focal_length_35mm());
|
||||
EXPECT_DOUBLE_EQ(kExpectedFocalLengthPixels,
|
||||
RoundToNDecimals(result.focal_length_pixels(), /*n=*/2));
|
||||
}
|
||||
|
||||
TEST(ImageFilePropertiesCalculatorTest, ReadsFocalLengthFromJpegInSidePackets) {
|
||||
std::string image_filepath = file::JoinPath("./", kImageFilePath);
|
||||
std::string image_contents;
|
||||
MP_ASSERT_OK(file::GetContents(image_filepath, &image_contents));
|
||||
|
||||
CalculatorGraphConfig::Node node_config =
|
||||
ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
|
||||
calculator: "ImageFilePropertiesCalculator"
|
||||
input_side_packet: "image_bytes"
|
||||
output_side_packet: "properties"
|
||||
)");
|
||||
|
||||
CalculatorRunner runner(node_config);
|
||||
runner.MutableSidePackets()->Index(0) =
|
||||
MakePacket<std::string>(image_contents).At(Timestamp(0));
|
||||
MP_ASSERT_OK(runner.Run());
|
||||
const auto& outputs = runner.OutputSidePackets();
|
||||
EXPECT_EQ(1, outputs.NumEntries());
|
||||
const auto& packet = outputs.Index(0);
|
||||
const auto& result = packet.Get<::mediapipe::ImageFileProperties>();
|
||||
EXPECT_EQ(kExpectedWidth, result.image_width());
|
||||
EXPECT_EQ(kExpectedHeight, result.image_height());
|
||||
EXPECT_DOUBLE_EQ(kExpectedFocalLengthMm, result.focal_length_mm());
|
||||
EXPECT_DOUBLE_EQ(kExpectedFocalLengthIn35Mm, result.focal_length_35mm());
|
||||
EXPECT_DOUBLE_EQ(kExpectedFocalLengthPixels,
|
||||
RoundToNDecimals(result.focal_length_pixels(), /*n=*/2));
|
||||
}
|
||||
|
||||
TEST(ImageFilePropertiesCalculatorTest,
|
||||
ReadsFocalLengthFromJpegStreamToSidePacket) {
|
||||
std::string image_filepath = file::JoinPath("./", kImageFilePath);
|
||||
std::string image_contents;
|
||||
MP_ASSERT_OK(file::GetContents(image_filepath, &image_contents));
|
||||
|
||||
CalculatorGraphConfig::Node node_config =
|
||||
ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"(
|
||||
calculator: "ImageFilePropertiesCalculator"
|
||||
input_stream: "image_bytes"
|
||||
output_side_packet: "properties"
|
||||
)");
|
||||
|
||||
CalculatorRunner runner(node_config);
|
||||
runner.MutableInputs()->Index(0).packets.push_back(
|
||||
MakePacket<std::string>(image_contents).At(Timestamp(0)));
|
||||
MP_ASSERT_OK(runner.Run());
|
||||
const auto& outputs = runner.OutputSidePackets();
|
||||
EXPECT_EQ(1, outputs.NumEntries());
|
||||
const auto& packet = outputs.Index(0);
|
||||
const auto& result = packet.Get<::mediapipe::ImageFileProperties>();
|
||||
EXPECT_EQ(kExpectedWidth, result.image_width());
|
||||
EXPECT_EQ(kExpectedHeight, result.image_height());
|
||||
EXPECT_DOUBLE_EQ(kExpectedFocalLengthMm, result.focal_length_mm());
|
||||
EXPECT_DOUBLE_EQ(kExpectedFocalLengthIn35Mm, result.focal_length_35mm());
|
||||
EXPECT_DOUBLE_EQ(kExpectedFocalLengthPixels,
|
||||
RoundToNDecimals(result.focal_length_pixels(), /*n=*/2));
|
||||
}
|
||||
|
||||
} // namespace
|
||||
} // namespace mediapipe
|
||||
@@ -160,8 +160,8 @@ class AnnotationOverlayCalculator : public CalculatorBase {
|
||||
GLuint image_mat_tex_ = 0; // Overlay drawing image for GPU.
|
||||
int width_ = 0;
|
||||
int height_ = 0;
|
||||
int width_gpu_ = 0; // Size of overlay drawing texture.
|
||||
int height_gpu_ = 0;
|
||||
int width_canvas_ = 0; // Size of overlay drawing texture canvas.
|
||||
int height_canvas_ = 0;
|
||||
#endif // MEDIAPIPE_DISABLE_GPU
|
||||
};
|
||||
REGISTER_CALCULATOR(AnnotationOverlayCalculator);
|
||||
@@ -250,6 +250,7 @@ REGISTER_CALCULATOR(AnnotationOverlayCalculator);
|
||||
// Initialize the helper renderer library.
|
||||
renderer_ = absl::make_unique<AnnotationRenderer>();
|
||||
renderer_->SetFlipTextVertically(options_.flip_text_vertically());
|
||||
if (use_gpu_) renderer_->SetScaleFactor(options_.gpu_scale_factor());
|
||||
|
||||
// Set the output header based on the input header (if present).
|
||||
const char* input_tag = use_gpu_ ? kInputFrameTagGpu : kInputFrameTag;
|
||||
@@ -391,8 +392,8 @@ REGISTER_CALCULATOR(AnnotationOverlayCalculator);
|
||||
glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT);
|
||||
|
||||
glBindTexture(GL_TEXTURE_2D, image_mat_tex_);
|
||||
glTexSubImage2D(GL_TEXTURE_2D, 0, 0, 0, width_gpu_, height_gpu_, GL_RGB,
|
||||
GL_UNSIGNED_BYTE, overlay_image);
|
||||
glTexSubImage2D(GL_TEXTURE_2D, 0, 0, 0, width_canvas_, height_canvas_,
|
||||
GL_RGB, GL_UNSIGNED_BYTE, overlay_image);
|
||||
glBindTexture(GL_TEXTURE_2D, 0);
|
||||
}
|
||||
|
||||
@@ -494,12 +495,13 @@ REGISTER_CALCULATOR(AnnotationOverlayCalculator);
|
||||
if (format != mediapipe::ImageFormat::SRGBA &&
|
||||
format != mediapipe::ImageFormat::SRGB)
|
||||
RET_CHECK_FAIL() << "Unsupported GPU input format: " << format;
|
||||
image_mat = absl::make_unique<cv::Mat>(height_gpu_, width_gpu_, CV_8UC3);
|
||||
image_mat =
|
||||
absl::make_unique<cv::Mat>(height_canvas_, width_canvas_, CV_8UC3);
|
||||
memset(image_mat->data, kAnnotationBackgroundColor,
|
||||
height_gpu_ * width_gpu_ * image_mat->elemSize());
|
||||
height_canvas_ * width_canvas_ * image_mat->elemSize());
|
||||
} else {
|
||||
image_mat = absl::make_unique<cv::Mat>(
|
||||
height_gpu_, width_gpu_, CV_8UC3,
|
||||
height_canvas_, width_canvas_, CV_8UC3,
|
||||
cv::Scalar(options_.canvas_color().r(), options_.canvas_color().g(),
|
||||
options_.canvas_color().b()));
|
||||
}
|
||||
@@ -646,8 +648,8 @@ REGISTER_CALCULATOR(AnnotationOverlayCalculator);
|
||||
width_ = RoundUp(options_.canvas_width_px(), alignment);
|
||||
height_ = RoundUp(options_.canvas_height_px(), alignment);
|
||||
}
|
||||
width_gpu_ = RoundUp(width_ * scale_factor, alignment);
|
||||
height_gpu_ = RoundUp(height_ * scale_factor, alignment);
|
||||
width_canvas_ = RoundUp(width_ * scale_factor, alignment);
|
||||
height_canvas_ = RoundUp(height_ * scale_factor, alignment);
|
||||
|
||||
// Init texture for opencv rendered frame.
|
||||
{
|
||||
@@ -655,8 +657,8 @@ REGISTER_CALCULATOR(AnnotationOverlayCalculator);
|
||||
glBindTexture(GL_TEXTURE_2D, image_mat_tex_);
|
||||
// TODO
|
||||
// OpenCV only renders to RGB images, not RGBA. Ideally this should be RGBA.
|
||||
glTexImage2D(GL_TEXTURE_2D, 0, GL_RGB8, width_gpu_, height_gpu_, 0, GL_RGB,
|
||||
GL_UNSIGNED_BYTE, nullptr);
|
||||
glTexImage2D(GL_TEXTURE_2D, 0, GL_RGB8, width_canvas_, height_canvas_, 0,
|
||||
GL_RGB, GL_UNSIGNED_BYTE, nullptr);
|
||||
glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_NEAREST);
|
||||
glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_NEAREST);
|
||||
glTexParameterf(GL_TEXTURE_2D, GL_TEXTURE_WRAP_S, GL_CLAMP_TO_EDGE);
|
||||
|
||||
@@ -50,7 +50,5 @@ message AnnotationOverlayCalculatorOptions {
|
||||
// This can be used to speed up annotation by drawing the annotation on an
|
||||
// intermediate image with a reduced scale, e.g. 0.5 (of the input image width
|
||||
// and height), before resizing and overlaying it on top of the input image.
|
||||
// Should only be used if *all* render data uses normalized coordinates
|
||||
// (or absolute coordinates are updated to scale accordingly).
|
||||
optional float gpu_scale_factor = 7 [default = 1.0];
|
||||
}
|
||||
|
||||
@@ -316,6 +316,7 @@ cc_library(
|
||||
"//mediapipe/util/tracking",
|
||||
"//mediapipe/util/tracking:box_tracker",
|
||||
"//mediapipe/util/tracking:tracking_visualization_utilities",
|
||||
"@com_google_absl//absl/container:flat_hash_set",
|
||||
"@com_google_absl//absl/container:node_hash_set",
|
||||
"@com_google_absl//absl/strings",
|
||||
],
|
||||
|
||||
@@ -18,6 +18,7 @@
|
||||
#include <unordered_map>
|
||||
#include <unordered_set>
|
||||
|
||||
#include "absl/container/flat_hash_set.h"
|
||||
#include "absl/container/node_hash_set.h"
|
||||
#include "absl/strings/numbers.h"
|
||||
#include "mediapipe/calculators/video/box_tracker_calculator.pb.h"
|
||||
@@ -238,6 +239,11 @@ class BoxTrackerCalculator : public CalculatorBase {
|
||||
// Queued track time requests.
|
||||
std::vector<Timestamp> queued_track_requests_;
|
||||
|
||||
// Stores the tracked ids that have been discarded actively, from continuous
|
||||
// tracking data. It may accumulate across multiple frames. Once consumed, it
|
||||
// should be cleared immediately.
|
||||
absl::flat_hash_set<int> actively_discarded_tracked_ids_;
|
||||
|
||||
// Add smooth transition between re-acquisition and previous tracked boxes.
|
||||
// `result_box` is the tracking result of one specific timestamp. The smoothed
|
||||
// result will be updated in place.
|
||||
@@ -1144,9 +1150,16 @@ void BoxTrackerCalculator::StreamTrack(const TrackingData& data,
|
||||
CHECK(box_map);
|
||||
CHECK(failed_ids);
|
||||
|
||||
// Cache the actively discarded tracked ids from the new tracking data.
|
||||
for (const int discarded_id :
|
||||
data.motion_data().actively_discarded_tracked_ids()) {
|
||||
actively_discarded_tracked_ids_.insert(discarded_id);
|
||||
}
|
||||
|
||||
// Track all existing boxes by one frame.
|
||||
MotionVectorFrame mvf; // Holds motion from current to previous frame.
|
||||
MotionVectorFrameFromTrackingData(data, &mvf);
|
||||
mvf.actively_discarded_tracked_ids = &actively_discarded_tracked_ids_;
|
||||
|
||||
if (forward) {
|
||||
MotionVectorFrame mvf_inverted;
|
||||
|
||||
Reference in New Issue
Block a user