Merge branch 'master' into ios-hand-landmarker-tests

mediapipe/calculators/core/constant_side_packet_calculator.cc

@@ -87,6 +87,8 @@ class ConstantSidePacketCalculator : public CalculatorBase {
         packet.Set<double>();
       } else if (packet_options.has_time_series_header_value()) {
         packet.Set<TimeSeriesHeader>();
+      } else if (packet_options.has_int64_value()) {
+        packet.Set<int64_t>();
       } else {
         return absl::InvalidArgumentError(
             "None of supported values were specified in options.");
@@ -124,6 +126,8 @@ class ConstantSidePacketCalculator : public CalculatorBase {
       } else if (packet_options.has_time_series_header_value()) {
         packet.Set(MakePacket<TimeSeriesHeader>(
             packet_options.time_series_header_value()));
+      } else if (packet_options.has_int64_value()) {
+        packet.Set(MakePacket<int64_t>(packet_options.int64_value()));
       } else {
         return absl::InvalidArgumentError(
             "None of supported values were specified in options.");

mediapipe/calculators/core/constant_side_packet_calculator.proto

@@ -29,13 +29,14 @@ message ConstantSidePacketCalculatorOptions {
   message ConstantSidePacket {
     oneof value {
       int32 int_value = 1;
+      uint64 uint64_value = 5;
+      int64 int64_value = 11;
       float float_value = 2;
+      double double_value = 9;
       bool bool_value = 3;
       string string_value = 4;
-      uint64 uint64_value = 5;
       ClassificationList classification_list_value = 6;
       LandmarkList landmark_list_value = 7;
-      double double_value = 9;
       TimeSeriesHeader time_series_header_value = 10;
     }
   }

mediapipe/calculators/core/constant_side_packet_calculator_test.cc

@@ -12,6 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include <cstdint>
 #include <string>
 
 #include "absl/strings/string_view.h"
@@ -58,6 +59,7 @@ TEST(ConstantSidePacketCalculatorTest, EveryPossibleType) {
   DoTestSingleSidePacket("{ float_value: 6.5f }", 6.5f);
   DoTestSingleSidePacket("{ bool_value: true }", true);
   DoTestSingleSidePacket<std::string>(R"({ string_value: "str" })", "str");
+  DoTestSingleSidePacket<int64_t>("{ int64_value: 63 }", 63);
 }
 
 TEST(ConstantSidePacketCalculatorTest, MultiplePackets) {

mediapipe/calculators/tensor/BUILD

@@ -228,7 +228,6 @@ cc_library(
         "//mediapipe/tasks/metadata:metadata_schema_cc",
         "@com_google_absl//absl/container:flat_hash_set",
         "@com_google_absl//absl/status",
-        "@com_google_absl//absl/status:statusor",
         "@com_google_absl//absl/strings",
     ],
     alwayslink = 1,
@@ -280,7 +279,6 @@ cc_library(
         "//mediapipe/tasks/cc/text/tokenizers:tokenizer_utils",
         "//mediapipe/tasks/metadata:metadata_schema_cc",
         "@com_google_absl//absl/status",
-        "@com_google_absl//absl/status:statusor",
     ],
     alwayslink = 1,
 )

mediapipe/calculators/tensor/bert_preprocessor_calculator.cc

@@ -22,7 +22,6 @@
 
 #include "absl/container/flat_hash_set.h"
 #include "absl/status/status.h"
-#include "absl/status/statusor.h"
 #include "absl/strings/ascii.h"
 #include "absl/strings/string_view.h"
 #include "absl/strings/substitute.h"
@@ -244,7 +243,8 @@ std::vector<Tensor> BertPreprocessorCalculator::GenerateInputTensors(
   input_tensors.reserve(kNumInputTensorsForBert);
   for (int i = 0; i < kNumInputTensorsForBert; ++i) {
     input_tensors.push_back(
-        {Tensor::ElementType::kInt32, Tensor::Shape({tensor_size})});
+        {Tensor::ElementType::kInt32,
+         Tensor::Shape({1, tensor_size}, has_dynamic_input_tensors_)});
   }
   std::memcpy(input_tensors[input_ids_tensor_index_]
                   .GetCpuWriteView()

mediapipe/calculators/tensor/inference_interpreter_delegate_runner.cc

@@ -96,6 +96,19 @@ absl::StatusOr<std::vector<Tensor>> InferenceInterpreterDelegateRunner::Run(
     CalculatorContext* cc, const std::vector<Tensor>& input_tensors) {
   // Read CPU input into tensors.
   RET_CHECK_EQ(interpreter_->inputs().size(), input_tensors.size());
+
+  // If the input tensors have dynamic shape, then the tensors need to be
+  // resized and reallocated before we can copy the tensor values.
+  bool resized_tensor_shapes = false;
+  for (int i = 0; i < input_tensors.size(); ++i) {
+    if (input_tensors[i].shape().is_dynamic) {
+      interpreter_->ResizeInputTensorStrict(i, input_tensors[i].shape().dims);
+      resized_tensor_shapes = true;
+    }
+  }
+  // Reallocation is needed for memory sanity.
+  if (resized_tensor_shapes) interpreter_->AllocateTensors();
+
   for (int i = 0; i < input_tensors.size(); ++i) {
     const TfLiteType input_tensor_type =
         interpreter_->tensor(interpreter_->inputs()[i])->type;

mediapipe/calculators/tensor/regex_preprocessor_calculator.cc

@@ -20,7 +20,6 @@
 #include <vector>
 
 #include "absl/status/status.h"
-#include "absl/status/statusor.h"
 #include "mediapipe/calculators/tensor/regex_preprocessor_calculator.pb.h"
 #include "mediapipe/framework/api2/node.h"
 #include "mediapipe/framework/api2/port.h"
@@ -161,7 +160,7 @@ absl::Status RegexPreprocessorCalculator::Process(CalculatorContext* cc) {
   // not found in the tokenizer vocab.
   std::vector<Tensor> result;
   result.push_back(
-      {Tensor::ElementType::kInt32, Tensor::Shape({max_seq_len_})});
+      {Tensor::ElementType::kInt32, Tensor::Shape({1, max_seq_len_})});
   std::memcpy(result[0].GetCpuWriteView().buffer<int32_t>(),
               input_tokens.data(), input_tokens.size() * sizeof(int32_t));
   kTensorsOut(cc).Send(std::move(result));

mediapipe/calculators/tensorflow/BUILD

@@ -1077,6 +1077,7 @@ cc_test(
     linkstatic = 1,
     deps = [
         ":tensor_to_image_frame_calculator",
+        ":tensor_to_image_frame_calculator_cc_proto",
         "//mediapipe/framework:calculator_framework",
         "//mediapipe/framework:calculator_runner",
         "//mediapipe/framework/formats:image_frame",

mediapipe/calculators/tensorflow/tensor_to_image_frame_calculator.cc

@@ -65,6 +65,7 @@ class TensorToImageFrameCalculator : public CalculatorBase {
 
  private:
   float scale_factor_;
+  bool scale_per_frame_min_max_;
 };
 
 REGISTER_CALCULATOR(TensorToImageFrameCalculator);
@@ -88,6 +89,8 @@ absl::Status TensorToImageFrameCalculator::GetContract(CalculatorContract* cc) {
 absl::Status TensorToImageFrameCalculator::Open(CalculatorContext* cc) {
   scale_factor_ =
       cc->Options<TensorToImageFrameCalculatorOptions>().scale_factor();
+  scale_per_frame_min_max_ = cc->Options<TensorToImageFrameCalculatorOptions>()
+                                 .scale_per_frame_min_max();
   cc->SetOffset(TimestampDiff(0));
   return absl::OkStatus();
 }
@@ -109,16 +112,38 @@ absl::Status TensorToImageFrameCalculator::Process(CalculatorContext* cc) {
   auto format = (depth == 3 ? ImageFormat::SRGB : ImageFormat::GRAY8);
   const int32_t total_size = height * width * depth;
 
+  if (scale_per_frame_min_max_) {
+    RET_CHECK_EQ(input_tensor.dtype(), tensorflow::DT_FLOAT)
+        << "Setting scale_per_frame_min_max requires FLOAT input tensors.";
+  }
   ::std::unique_ptr<const ImageFrame> output;
   if (input_tensor.dtype() == tensorflow::DT_FLOAT) {
     // Allocate buffer with alignments.
     std::unique_ptr<uint8_t[]> buffer(
         new (std::align_val_t(EIGEN_MAX_ALIGN_BYTES)) uint8_t[total_size]);
     auto data = input_tensor.flat<float>().data();
+    float min = 1e23;
+    float max = -1e23;
+    if (scale_per_frame_min_max_) {
       for (int i = 0; i < total_size; ++i) {
         float d = scale_factor_ * data[i];
+        if (d < min) {
+          min = d;
+        }
+        if (d > max) {
+          max = d;
+        }
+      }
+    }
+    for (int i = 0; i < total_size; ++i) {
+      float d = data[i];
+      if (scale_per_frame_min_max_) {
+        d = 255 * (d - min) / (max - min + 1e-9);
+      } else {
+        d = scale_factor_ * d;
         if (d < 0) d = 0;
         if (d > 255) d = 255;
+      }
       buffer[i] = d;
     }
     output = ::absl::make_unique<ImageFrame>(

mediapipe/calculators/tensorflow/tensor_to_image_frame_calculator.proto

@@ -26,4 +26,8 @@ message TensorToImageFrameCalculatorOptions {
   // Multiples floating point tensor outputs by this value before converting to
   // uint8. This is useful for converting from range [0, 1] to [0, 255]
   optional float scale_factor = 1 [default = 1.0];
+
+  // If true, scales any FLOAT tensor input of [min, max] to be between [0, 255]
+  // per frame. This overrides any explicit scale_factor.
+  optional bool scale_per_frame_min_max = 2 [default = false];
 }

mediapipe/calculators/tensorflow/tensor_to_image_frame_calculator_test.cc

@@ -11,7 +11,9 @@
 // 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 <type_traits>
 
+#include "mediapipe/calculators/tensorflow/tensor_to_image_frame_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/calculator_runner.h"
 #include "mediapipe/framework/formats/image_frame.h"
@@ -32,11 +34,14 @@ constexpr char kImage[] = "IMAGE";
 template <class TypeParam>
 class TensorToImageFrameCalculatorTest : public ::testing::Test {
  protected:
-  void SetUpRunner() {
+  void SetUpRunner(bool scale_per_frame_min_max = false) {
     CalculatorGraphConfig::Node config;
     config.set_calculator("TensorToImageFrameCalculator");
     config.add_input_stream("TENSOR:input_tensor");
     config.add_output_stream("IMAGE:output_image");
+    config.mutable_options()
+        ->MutableExtension(mediapipe::TensorToImageFrameCalculatorOptions::ext)
+        ->set_scale_per_frame_min_max(scale_per_frame_min_max);
     runner_ = absl::make_unique<CalculatorRunner>(config);
   }
 
@@ -157,4 +162,47 @@ TYPED_TEST(TensorToImageFrameCalculatorTest,
   }
 }
 
+TYPED_TEST(TensorToImageFrameCalculatorTest,
+           Converts3DTensorToImageFrame2DGrayWithScaling) {
+  this->SetUpRunner(true);
+  auto& runner = this->runner_;
+  constexpr int kWidth = 16;
+  constexpr int kHeight = 8;
+  const tf::TensorShape tensor_shape{kHeight, kWidth};
+  auto tensor = absl::make_unique<tf::Tensor>(
+      tf::DataTypeToEnum<TypeParam>::v(), tensor_shape);
+  auto tensor_vec = tensor->template flat<TypeParam>().data();
+
+  // Writing sequence of integers as floats which we want normalized.
+  tensor_vec[0] = 255;
+  for (int i = 1; i < kWidth * kHeight; ++i) {
+    tensor_vec[i] = 200;
+  }
+
+  const int64_t time = 1234;
+  runner->MutableInputs()->Tag(kTensor).packets.push_back(
+      Adopt(tensor.release()).At(Timestamp(time)));
+
+  if (!std::is_same<TypeParam, float>::value) {
+    EXPECT_FALSE(runner->Run().ok());
+    return;  // Short circuit because does not apply to other types.
+  } else {
+    EXPECT_TRUE(runner->Run().ok());
+    const std::vector<Packet>& output_packets =
+        runner->Outputs().Tag(kImage).packets;
+    EXPECT_EQ(1, output_packets.size());
+    EXPECT_EQ(time, output_packets[0].Timestamp().Value());
+    const ImageFrame& output_image = output_packets[0].Get<ImageFrame>();
+    EXPECT_EQ(ImageFormat::GRAY8, output_image.Format());
+    EXPECT_EQ(kWidth, output_image.Width());
+    EXPECT_EQ(kHeight, output_image.Height());
+
+    EXPECT_EQ(255, output_image.PixelData()[0]);
+    for (int i = 1; i < kWidth * kHeight; ++i) {
+      const uint8_t pixel_value = output_image.PixelData()[i];
+      ASSERT_EQ(0, pixel_value);
+    }
+  }
+}
+
 }  // namespace mediapipe

mediapipe/framework/BUILD

@@ -1355,6 +1355,22 @@ cc_test(
     ],
 )
 
+cc_test(
+    name = "calculator_graph_summary_packet_test",
+    srcs = ["calculator_graph_summary_packet_test.cc"],
+    deps = [
+        ":calculator_framework",
+        ":packet",
+        "//mediapipe/framework/api2:node",
+        "//mediapipe/framework/api2:packet",
+        "//mediapipe/framework/api2:port",
+        "//mediapipe/framework/port:gtest_main",
+        "//mediapipe/framework/port:parse_text_proto",
+        "//mediapipe/framework/stream_handler:immediate_input_stream_handler",
+        "//mediapipe/framework/tool:sink",
+    ],
+)
+
 cc_test(
     name = "calculator_runner_test",
     size = "medium",

mediapipe/framework/calculator_context.h

@@ -109,9 +109,20 @@ class CalculatorContext {
   // use OutputStream::SetOffset() directly.
   void SetOffset(TimestampDiff offset);
 
-  // Returns the status of the graph run.
+  // DEPRECATED: This was intended to get graph run status during
+  // `CalculatorBase::Close` call. However, `Close` can run simultaneously with
+  // other calculators `CalculatorBase::Process`, hence the actual graph
+  // status may change any time and returned graph status here does not
+  // necessarily reflect the actual graph status.
   //
-  // NOTE: This method should only be called during CalculatorBase::Close().
+  // As an alternative, instead of checking graph status in `Close` and doing
+  // work for "done" state, you can enable timestamp bound processing for your
+  // calculator (`CalculatorContract::SetProcessTimestampBounds`) to trigger
+  // `Process` on timestamp bound updates and handle "done" state there.
+  // Check examples in:
+  // mediapipe/framework/calculator_graph_summary_packet_test.cc.
+  //
+  ABSL_DEPRECATED("Does not reflect the actual graph status.")
   absl::Status GraphStatus() const { return graph_status_; }
 
   ProfilingContext* GetProfilingContext() const {

mediapipe/framework/calculator_graph_summary_packet_test.cc

@@ -0,0 +1,327 @@
+#include "mediapipe/framework/api2/node.h"
+#include "mediapipe/framework/api2/packet.h"
+#include "mediapipe/framework/api2/port.h"
+#include "mediapipe/framework/calculator_framework.h"
+#include "mediapipe/framework/packet.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 {
+
+using ::mediapipe::api2::Input;
+using ::mediapipe::api2::Node;
+using ::mediapipe::api2::Output;
+using ::testing::ElementsAre;
+using ::testing::Eq;
+using ::testing::IsEmpty;
+using ::testing::Value;
+
+namespace {
+
+MATCHER_P2(IntPacket, value, timestamp, "") {
+  *result_listener << "where object is (value: " << arg.template Get<int>()
+                   << ", timestamp: " << arg.Timestamp() << ")";
+  return Value(arg.template Get<int>(), Eq(value)) &&
+         Value(arg.Timestamp(), Eq(timestamp));
+}
+
+// Calculates and produces sum of all passed inputs when no more packets can be
+// expected on the input stream.
+class SummaryPacketCalculator : public Node {
+ public:
+  static constexpr Input<int> kIn{"IN"};
+  static constexpr Output<int> kOut{"SUMMARY"};
+
+  MEDIAPIPE_NODE_CONTRACT(kIn, kOut);
+
+  static absl::Status UpdateContract(CalculatorContract* cc) {
+    // Makes sure there are no automatic timestamp bound updates when Process
+    // is called.
+    cc->SetTimestampOffset(TimestampDiff::Unset());
+    // Currently, only ImmediateInputStreamHandler supports "done" timestamp
+    // bound update. (ImmediateInputStreamhandler handles multiple input
+    // streams differently, so, in that case, calculator adjustments may be
+    // required.)
+    // TODO: update all input stream handlers to support "done"
+    // timestamp bound update.
+    cc->SetInputStreamHandler("ImmediateInputStreamHandler");
+    // Enables processing timestamp bound updates. For this use case we are
+    // specifically interested in "done" timestamp bound update. (E.g. when
+    // all input packet sources are closed.)
+    cc->SetProcessTimestampBounds(true);
+    return absl::OkStatus();
+  }
+
+  absl::Status Process(CalculatorContext* cc) final {
+    if (!kIn(cc).IsEmpty()) {
+      value_ += kIn(cc).Get();
+    }
+
+    if (kOut(cc).IsClosed()) {
+      // This can happen:
+      // 1. If, during previous invocation, kIn(cc).IsDone() == true (e.g.
+      //    source calculator finished generating packets sent to kIn) and
+      //    HasNextAllowedInStream() == true (which is an often case).
+      // 2. For Timestamp::PreStream, ImmediateInputStreamHandler will still
+      //    invoke Process() with Timestamp::Max to indicate "Done" timestamp
+      //    bound update.
+      return absl::OkStatus();
+    }
+
+    // TODO: input stream holding a packet with timestamp that has
+    // no next timestamp allowed in stream should always result in
+    // InputStream::IsDone() == true.
+    if (kIn(cc).IsDone() || !cc->InputTimestamp().HasNextAllowedInStream()) {
+      // kOut(cc).Send(value_) can be used here as well, however in the case of
+      // source calculator sending inputs into kIn the resulting timestamp is
+      // not well defined (e.g. it can be the last packet timestamp or
+      // Timestamp::Max())
+      // TODO: last packet from source should always result in
+      // InputStream::IsDone() == true.
+      kOut(cc).Send(value_, Timestamp::Max());
+      kOut(cc).Close();
+    }
+    return absl::OkStatus();
+  }
+
+ private:
+  int value_ = 0;
+};
+MEDIAPIPE_REGISTER_NODE(SummaryPacketCalculator);
+
+TEST(SummaryPacketCalculatorUseCaseTest,
+     ProducesSummaryPacketOnClosingAllPacketSources) {
+  auto graph_config = ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
+    input_stream: 'input'
+    node {
+      calculator: "SummaryPacketCalculator"
+      input_stream: 'IN:input'
+      output_stream: 'SUMMARY:output'
+    }
+  )pb");
+  std::vector<Packet> output_packets;
+  tool::AddVectorSink("output", &graph_config, &output_packets);
+
+  CalculatorGraph graph;
+  MP_ASSERT_OK(graph.Initialize(graph_config, {}));
+  MP_ASSERT_OK(graph.StartRun({}));
+  MP_ASSERT_OK(graph.WaitUntilIdle());
+  EXPECT_THAT(output_packets, IsEmpty());
+
+  auto send_packet = [&graph](int value, Timestamp timestamp) {
+    MP_ASSERT_OK(graph.AddPacketToInputStream(
+        "input", MakePacket<int>(value).At(timestamp)));
+  };
+
+  send_packet(10, Timestamp(10));
+  MP_ASSERT_OK(graph.WaitUntilIdle());
+  EXPECT_THAT(output_packets, IsEmpty());
+
+  send_packet(20, Timestamp(11));
+  MP_ASSERT_OK(graph.WaitUntilIdle());
+  EXPECT_THAT(output_packets, IsEmpty());
+
+  MP_ASSERT_OK(graph.CloseAllPacketSources());
+  MP_ASSERT_OK(graph.WaitUntilDone());
+  EXPECT_THAT(output_packets, ElementsAre(IntPacket(30, Timestamp::Max())));
+}
+
+TEST(SummaryPacketCalculatorUseCaseTest, ProducesSummaryPacketOnMaxTimestamp) {
+  auto graph_config = ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
+    input_stream: 'input'
+    node {
+      calculator: "SummaryPacketCalculator"
+      input_stream: 'IN:input'
+      output_stream: 'SUMMARY:output'
+    }
+  )pb");
+  std::vector<Packet> output_packets;
+  tool::AddVectorSink("output", &graph_config, &output_packets);
+
+  CalculatorGraph graph;
+  MP_ASSERT_OK(graph.Initialize(graph_config, {}));
+  MP_ASSERT_OK(graph.StartRun({}));
+  MP_ASSERT_OK(graph.WaitUntilIdle());
+  EXPECT_THAT(output_packets, IsEmpty());
+
+  auto send_packet = [&graph](int value, Timestamp timestamp) {
+    MP_ASSERT_OK(graph.AddPacketToInputStream(
+        "input", MakePacket<int>(value).At(timestamp)));
+  };
+
+  send_packet(10, Timestamp(10));
+  MP_ASSERT_OK(graph.WaitUntilIdle());
+  EXPECT_THAT(output_packets, IsEmpty());
+
+  send_packet(20, Timestamp::Max());
+  MP_ASSERT_OK(graph.WaitUntilIdle());
+  EXPECT_THAT(output_packets, ElementsAre(IntPacket(30, Timestamp::Max())));
+
+  output_packets.clear();
+  MP_ASSERT_OK(graph.CloseAllPacketSources());
+  MP_ASSERT_OK(graph.WaitUntilDone());
+  EXPECT_THAT(output_packets, IsEmpty());
+}
+
+TEST(SummaryPacketCalculatorUseCaseTest,
+     ProducesSummaryPacketOnPreStreamTimestamp) {
+  auto graph_config = ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
+    input_stream: 'input'
+    node {
+      calculator: "SummaryPacketCalculator"
+      input_stream: 'IN:input'
+      output_stream: 'SUMMARY:output'
+    }
+  )pb");
+  std::vector<Packet> output_packets;
+  tool::AddVectorSink("output", &graph_config, &output_packets);
+
+  CalculatorGraph graph;
+  MP_ASSERT_OK(graph.Initialize(graph_config, {}));
+  MP_ASSERT_OK(graph.StartRun({}));
+  MP_ASSERT_OK(graph.WaitUntilIdle());
+  EXPECT_THAT(output_packets, IsEmpty());
+
+  auto send_packet = [&graph](int value, Timestamp timestamp) {
+    MP_ASSERT_OK(graph.AddPacketToInputStream(
+        "input", MakePacket<int>(value).At(timestamp)));
+  };
+
+  send_packet(10, Timestamp::PreStream());
+  MP_ASSERT_OK(graph.WaitUntilIdle());
+  EXPECT_THAT(output_packets, ElementsAre(IntPacket(10, Timestamp::Max())));
+
+  output_packets.clear();
+  MP_ASSERT_OK(graph.CloseAllPacketSources());
+  MP_ASSERT_OK(graph.WaitUntilDone());
+  EXPECT_THAT(output_packets, IsEmpty());
+}
+
+TEST(SummaryPacketCalculatorUseCaseTest,
+     ProducesSummaryPacketOnPostStreamTimestamp) {
+  std::vector<Packet> output_packets;
+  CalculatorGraphConfig graph_config =
+      ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
+        input_stream: 'input'
+        node {
+          calculator: "SummaryPacketCalculator"
+          input_stream: 'IN:input'
+          output_stream: 'SUMMARY:output'
+        }
+      )pb");
+  tool::AddVectorSink("output", &graph_config, &output_packets);
+
+  CalculatorGraph graph;
+  MP_ASSERT_OK(graph.Initialize(graph_config, {}));
+  MP_ASSERT_OK(graph.StartRun({}));
+  MP_ASSERT_OK(graph.WaitUntilIdle());
+  EXPECT_THAT(output_packets, IsEmpty());
+
+  auto send_packet = [&graph](int value, Timestamp timestamp) {
+    MP_ASSERT_OK(graph.AddPacketToInputStream(
+        "input", MakePacket<int>(value).At(timestamp)));
+  };
+
+  send_packet(10, Timestamp::PostStream());
+  MP_ASSERT_OK(graph.WaitUntilIdle());
+  EXPECT_THAT(output_packets, ElementsAre(IntPacket(10, Timestamp::Max())));
+
+  output_packets.clear();
+  MP_ASSERT_OK(graph.CloseAllPacketSources());
+  MP_ASSERT_OK(graph.WaitUntilDone());
+  EXPECT_THAT(output_packets, IsEmpty());
+}
+
+class IntGeneratorCalculator : public Node {
+ public:
+  static constexpr Output<int> kOut{"INT"};
+
+  MEDIAPIPE_NODE_CONTRACT(kOut);
+
+  absl::Status Process(CalculatorContext* cc) final {
+    kOut(cc).Send(20, Timestamp(0));
+    kOut(cc).Send(10, Timestamp(1000));
+    return tool::StatusStop();
+  }
+};
+MEDIAPIPE_REGISTER_NODE(IntGeneratorCalculator);
+
+TEST(SummaryPacketCalculatorUseCaseTest,
+     ProducesSummaryPacketOnSourceCalculatorCompletion) {
+  std::vector<Packet> output_packets;
+  CalculatorGraphConfig graph_config =
+      ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
+        node {
+          calculator: "IntGeneratorCalculator"
+          output_stream: "INT:int_value"
+        }
+        node {
+          calculator: "SummaryPacketCalculator"
+          input_stream: "IN:int_value"
+          output_stream: "SUMMARY:output"
+        }
+      )pb");
+  tool::AddVectorSink("output", &graph_config, &output_packets);
+
+  CalculatorGraph graph;
+  MP_ASSERT_OK(graph.Initialize(graph_config, {}));
+  MP_ASSERT_OK(graph.StartRun({}));
+  MP_EXPECT_OK(graph.WaitUntilDone());
+  EXPECT_THAT(output_packets, ElementsAre(IntPacket(30, Timestamp::Max())));
+}
+
+class EmitOnCloseCalculator : public Node {
+ public:
+  static constexpr Input<int> kIn{"IN"};
+  static constexpr Output<int> kOut{"INT"};
+
+  MEDIAPIPE_NODE_CONTRACT(kIn, kOut);
+
+  absl::Status Process(CalculatorContext* cc) final { return absl::OkStatus(); }
+
+  absl::Status Close(CalculatorContext* cc) final {
+    kOut(cc).Send(20, Timestamp(0));
+    kOut(cc).Send(10, Timestamp(1000));
+    return absl::OkStatus();
+  }
+};
+MEDIAPIPE_REGISTER_NODE(EmitOnCloseCalculator);
+
+TEST(SummaryPacketCalculatorUseCaseTest,
+     ProducesSummaryPacketOnAnotherCalculatorClosure) {
+  auto graph_config = ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
+    input_stream: "input"
+    node {
+      calculator: "EmitOnCloseCalculator"
+      input_stream: "IN:input"
+      output_stream: "INT:int_value"
+    }
+    node {
+      calculator: "SummaryPacketCalculator"
+      input_stream: "IN:int_value"
+      output_stream: "SUMMARY:output"
+    }
+  )pb");
+  std::vector<Packet> output_packets;
+  tool::AddVectorSink("output", &graph_config, &output_packets);
+
+  CalculatorGraph graph;
+  MP_ASSERT_OK(graph.Initialize(graph_config, {}));
+  MP_ASSERT_OK(graph.StartRun({}));
+  MP_ASSERT_OK(graph.WaitUntilIdle());
+  EXPECT_THAT(output_packets, IsEmpty());
+
+  MP_ASSERT_OK(graph.CloseInputStream("input"));
+  MP_ASSERT_OK(graph.WaitUntilIdle());
+  EXPECT_THAT(output_packets, ElementsAre(IntPacket(30, Timestamp::Max())));
+
+  output_packets.clear();
+  MP_ASSERT_OK(graph.CloseAllPacketSources());
+  MP_ASSERT_OK(graph.WaitUntilDone());
+  EXPECT_THAT(output_packets, IsEmpty());
+}
+
+}  // namespace
+}  // namespace mediapipe

mediapipe/framework/formats/tensor.h

@@ -117,11 +117,18 @@ class Tensor {
     Shape() = default;
     Shape(std::initializer_list<int> dimensions) : dims(dimensions) {}
     Shape(const std::vector<int>& dimensions) : dims(dimensions) {}
+    Shape(std::initializer_list<int> dimensions, bool is_dynamic)
+        : dims(dimensions), is_dynamic(is_dynamic) {}
+    Shape(const std::vector<int>& dimensions, bool is_dynamic)
+        : dims(dimensions), is_dynamic(is_dynamic) {}
     int num_elements() const {
       return std::accumulate(dims.begin(), dims.end(), 1,
                              std::multiplies<int>());
     }
     std::vector<int> dims;
+    // The Tensor has dynamic rather than static shape so the TFLite interpreter
+    // needs to be reallocated. Only relevant for CPU.
+    bool is_dynamic = false;
   };
   // Quantization parameters corresponding to the zero_point and scale value
   // made available by TfLite quantized (uint8/int8) tensors.

mediapipe/framework/formats/tensor_test.cc

@@ -2,6 +2,7 @@
 
 #include <cstring>
 #include <string>
+#include <vector>
 
 #include "mediapipe/framework/port/gmock.h"
 #include "mediapipe/framework/port/gtest.h"
@@ -34,6 +35,17 @@ TEST(General, TestDataTypes) {
   EXPECT_EQ(t_bool.bytes(), t_bool.shape().num_elements() * sizeof(bool));
 }
 
+TEST(General, TestDynamic) {
+  Tensor t1(Tensor::ElementType::kFloat32, Tensor::Shape({1, 2, 3, 4}, true));
+  EXPECT_EQ(t1.shape().num_elements(), 1 * 2 * 3 * 4);
+  EXPECT_TRUE(t1.shape().is_dynamic);
+
+  std::vector<int> t2_dims = {4, 3, 2, 3};
+  Tensor t2(Tensor::ElementType::kFloat16, Tensor::Shape(t2_dims, true));
+  EXPECT_EQ(t2.shape().num_elements(), 4 * 3 * 2 * 3);
+  EXPECT_TRUE(t2.shape().is_dynamic);
+}
+
 TEST(Cpu, TestMemoryAllocation) {
   Tensor t1(Tensor::ElementType::kFloat32, Tensor::Shape{4, 3, 2, 3});
   auto v1 = t1.GetCpuWriteView();

mediapipe/framework/timestamp.cc

@@ -131,6 +131,13 @@ Timestamp Timestamp::NextAllowedInStream() const {
   return *this + 1;
 }
 
+bool Timestamp::HasNextAllowedInStream() const {
+  if (*this >= Max() || *this == PreStream()) {
+    return false;
+  }
+  return true;
+}
+
 Timestamp Timestamp::PreviousAllowedInStream() const {
   if (*this <= Min() || *this == PostStream()) {
     // Indicates that no previous timestamps may occur.

mediapipe/framework/timestamp.h

@@ -186,6 +186,10 @@ class Timestamp {
   // CHECKs that this->IsAllowedInStream().
   Timestamp NextAllowedInStream() const;
 
+  // Returns true if there's a next timestamp in the range [Min .. Max] after
+  // this one.
+  bool HasNextAllowedInStream() const;
+
   // Returns the previous timestamp in the range [Min .. Max], or
   // Unstarted() if no Packets may preceed one with this timestamp.
   Timestamp PreviousAllowedInStream() const;

mediapipe/framework/timestamp_test.cc

@@ -125,6 +125,22 @@ TEST(TimestampTest, NextAllowedInStream) {
             Timestamp::PostStream().NextAllowedInStream());
 }
 
+TEST(TimestampTest, HasNextAllowedInStream) {
+  EXPECT_TRUE(Timestamp::Min().HasNextAllowedInStream());
+  EXPECT_TRUE((Timestamp::Min() + 1).HasNextAllowedInStream());
+  EXPECT_TRUE(Timestamp(-1000).HasNextAllowedInStream());
+  EXPECT_TRUE(Timestamp(0).HasNextAllowedInStream());
+  EXPECT_TRUE(Timestamp(1000).HasNextAllowedInStream());
+  EXPECT_TRUE((Timestamp::Max() - 2).HasNextAllowedInStream());
+  EXPECT_TRUE((Timestamp::Max() - 1).HasNextAllowedInStream());
+
+  EXPECT_FALSE(Timestamp::PreStream().HasNextAllowedInStream());
+  EXPECT_FALSE(Timestamp::Max().HasNextAllowedInStream());
+  EXPECT_FALSE(Timestamp::PostStream().HasNextAllowedInStream());
+  EXPECT_FALSE(Timestamp::OneOverPostStream().HasNextAllowedInStream());
+  EXPECT_FALSE(Timestamp::Done().HasNextAllowedInStream());
+}
+
 TEST(TimestampTest, SpecialValueDifferences) {
   {  // Lower range
     const std::vector<Timestamp> timestamps = {

mediapipe/tasks/ios/test/vision/hand_landmarker/BUILD

@@ -34,7 +34,7 @@ objc_library(
         "-x objective-c++",
     ],
     data = [
-        "//mediapipe/tasks/testdata/vision:test_models",
+        "//mediapipe/tasks/testdata/vision:hand_landmarker.task",
         "//mediapipe/tasks/testdata/vision:test_images",
         "//mediapipe/tasks/testdata/vision:test_protos",
     ],

mediapipe/tasks/ios/test/vision/hand_landmarker/MPPHandLandmarkerTests.m

@@ -37,7 +37,6 @@ static ResourceFileInfo *const kExpectedThumbUpLandmarksFile =
 static ResourceFileInfo *const kExpectedPointingUpRotatedLandmarksFile =
     @{@"name" : @"pointing_up_rotated_landmarks", @"type" : kPbFileExtension};
 
-
 static NSString *const kExpectedErrorDomain = @"com.google.mediapipe.tasks";
 static const float kLandmarksErrorTolerance = 0.03f;
 
@@ -77,11 +76,9 @@ static const float kLandmarksErrorTolerance = 0.03f;
 }
 
 + (MPPHandLandmarkerResult *)thumbUpHandLandmarkerResult {
-  NSString *filePath =
+  NSString *filePath = [MPPHandLandmarkerTests filePathWithFileInfo:kExpectedThumbUpLandmarksFile];
-      [MPPHandLandmarkerTests filePathWithFileInfo:kExpectedThumbUpLandmarksFile];
 
-  return [MPPHandLandmarkerResult
+  return [MPPHandLandmarkerResult handLandmarkerResultFromProtobufFileWithName:filePath
-      handLandmarkerResultFromTextEncodedProtobufFileWithName:filePath
                                                          shouldRemoveZPosition:YES];
 }
 
@@ -89,8 +86,7 @@ static const float kLandmarksErrorTolerance = 0.03f;
   NSString *filePath =
       [MPPHandLandmarkerTests filePathWithFileInfo:kExpectedPointingUpRotatedLandmarksFile];
 
-  return [MPPHandLandmarkerResult
+  return [MPPHandLandmarkerResult handLandmarkerResultFromProtobufFileWithName:filePath
-      handLandmarkerResultFromTextEncodedProtobufFileWithName:filePath
                                                          shouldRemoveZPosition:YES];
 }
 
@@ -133,8 +129,7 @@ static const float kLandmarksErrorTolerance = 0.03f;
 }
 
 - (void)assertHandLandmarkerResult:(MPPHandLandmarkerResult *)handLandmarkerResult
-    isApproximatelyEqualToExpectedResult:
+    isApproximatelyEqualToExpectedResult:(MPPHandLandmarkerResult *)expectedHandLandmarkerResult {
-        (MPPHandLandmarkerResult *)expectedHandLandmarkerResult {
   [self assertMultiHandLandmarks:handLandmarkerResult.landmarks
       areApproximatelyEqualToExpectedMultiHandLandmarks:expectedHandLandmarkerResult.landmarks];
   [self assertMultiHandWorldLandmarks:handLandmarkerResult.worldLandmarks
@@ -161,8 +156,7 @@ static const float kLandmarksErrorTolerance = 0.03f;
 - (MPPHandLandmarkerOptions *)handLandmarkerOptionsWithModelFileInfo:
     (ResourceFileInfo *)modelFileInfo {
   NSString *modelPath = [MPPHandLandmarkerTests filePathWithFileInfo:modelFileInfo];
-  MPPHandLandmarkerOptions *handLandmarkerOptions =
+  MPPHandLandmarkerOptions *handLandmarkerOptions = [[MPPHandLandmarkerOptions alloc] init];
-      [[MPPHandLandmarkerOptions alloc] init];
   handLandmarkerOptions.baseOptions.modelAssetPath = modelPath;
 
   return handLandmarkerOptions;
@@ -170,21 +164,22 @@ static const float kLandmarksErrorTolerance = 0.03f;
 
 - (MPPHandLandmarker *)createHandLandmarkerWithOptionsSucceeds:
     (MPPHandLandmarkerOptions *)handLandmarkerOptions {
+  NSError* error;
   MPPHandLandmarker *handLandmarker =
-      [[MPPHandLandmarker alloc] initWithOptions:handLandmarkerOptions error:nil];
+      [[MPPHandLandmarker alloc] initWithOptions:handLandmarkerOptions error:&error];
   XCTAssertNotNil(handLandmarker);
+  XCTAssertNil(error);
 
   return handLandmarker;
 }
 
-- (void)assertCreateHandLandmarkerWithOptions:
+- (void)assertCreateHandLandmarkerWithOptions:(MPPHandLandmarkerOptions *)handLandmarkerOptions
-            (MPPHandLandmarkerOptions *)handLandmarkerOptions
                        failsWithExpectedError:(NSError *)expectedError {
   NSError *error = nil;
   MPPHandLandmarker *handLandmarker =
       [[MPPHandLandmarker alloc] initWithOptions:handLandmarkerOptions error:&error];
 
-  XCTAssertNil(handLandmarkerOptions);
+  XCTAssertNil(handLandmarker);
   AssertEqualErrors(error, expectedError);
 }
 
@@ -211,11 +206,9 @@ static const float kLandmarksErrorTolerance = 0.03f;
 }
 
 - (MPPHandLandmarkerResult *)detectInImageWithFileInfo:(ResourceFileInfo *)imageFileInfo
-                                    usingHandLandmarker:
+                                   usingHandLandmarker:(MPPHandLandmarker *)handLandmarker {
-                                        (MPPHandLandmarker *)handLandmarker {
   MPPImage *mppImage = [self imageWithFileInfo:imageFileInfo];
-  MPPHandLandmarkerResult *handLandmarkerResult = [handLandmarker detectInImage:mppImage
+  MPPHandLandmarkerResult *handLandmarkerResult = [handLandmarker detectInImage:mppImage error:nil];
-                                                                                    error:nil];
   XCTAssertNotNil(handLandmarkerResult);
 
   return handLandmarkerResult;
@@ -225,8 +218,8 @@ static const float kLandmarksErrorTolerance = 0.03f;
                              usingHandLandmarker:(MPPHandLandmarker *)handLandmarker
          approximatelyEqualsHandLandmarkerResult:
              (MPPHandLandmarkerResult *)expectedHandLandmarkerResult {
-  MPPHandLandmarkerResult *handLandmarkerResult =
+  MPPHandLandmarkerResult *handLandmarkerResult = [self detectInImageWithFileInfo:fileInfo
-      [self detectInImageWithFileInfo:fileInfo usingHandLandmarker:handLandmarker];
+                                                              usingHandLandmarker:handLandmarker];
   [self assertHandLandmarkerResult:handLandmarkerResult
       isApproximatelyEqualToExpectedResult:expectedHandLandmarkerResult];
 }
@@ -236,8 +229,8 @@ static const float kLandmarksErrorTolerance = 0.03f;
 - (void)testDetectWithModelPathSucceeds {
   NSString *modelPath =
       [MPPHandLandmarkerTests filePathWithFileInfo:kHandLandmarkerBundleAssetFile];
-  MPPHandLandmarker *handLandmarker =
+  MPPHandLandmarker *handLandmarker = [[MPPHandLandmarker alloc] initWithModelPath:modelPath
-      [[MPPHandLandmarker alloc] initWithModelPath:modelPath error:nil];
+                                                                             error:nil];
   XCTAssertNotNil(handLandmarker);
 
   [self assertResultsOfDetectInImageWithFileInfo:kThumbUpImage
@@ -253,8 +246,8 @@ static const float kLandmarksErrorTolerance = 0.03f;
   MPPHandLandmarker *handLandmarker =
       [self createHandLandmarkerWithOptionsSucceeds:handLandmarkerOptions];
 
-  MPPHandLandmarkerResult *handLandmarkerResult =
+  MPPHandLandmarkerResult *handLandmarkerResult = [self detectInImageWithFileInfo:kNoHandsImage
-      [self detectInImageWithFileInfo:kNoHandsImage usingHandLandmarker:handLandmarker];
+                                                              usingHandLandmarker:handLandmarker];
   AssertHandLandmarkerResultIsEmpty(handLandmarkerResult);
 }
 
@@ -268,8 +261,8 @@ static const float kLandmarksErrorTolerance = 0.03f;
   MPPHandLandmarker *handLandmarker =
       [self createHandLandmarkerWithOptionsSucceeds:handLandmarkerOptions];
 
-  MPPHandLandmarkerResult *handLandmarkerResult =
+  MPPHandLandmarkerResult *handLandmarkerResult = [self detectInImageWithFileInfo:kTwoHandsImage
-      [self detectInImageWithFileInfo:kTwoHandsImage usingHandLandmarker:handLandmarker];
+                                                              usingHandLandmarker:handLandmarker];
 
   XCTAssertTrue(handLandmarkerResult.handedness.count == numHands);
 }
@@ -284,12 +277,11 @@ static const float kLandmarksErrorTolerance = 0.03f;
   MPPImage *mppImage = [self imageWithFileInfo:kPointingUpRotatedImage
                                    orientation:UIImageOrientationRight];
 
-  MPPHandLandmarkerResult *handLandmarkerResult = [handLandmarker detectInImage:mppImage
+  MPPHandLandmarkerResult *handLandmarkerResult = [handLandmarker detectInImage:mppImage error:nil];
-                                                                          error:nil];
 
   [self assertHandLandmarkerResult:handLandmarkerResult
-      isApproximatelyEqualToExpectedResult:[MPPHandLandmarkerTests pointingUpRotatedHandLandmarkerResult]];                                                                        
+      isApproximatelyEqualToExpectedResult:[MPPHandLandmarkerTests
-
+                                               pointingUpRotatedHandLandmarkerResult]];
 }
 
 #pragma mark Running Mode Tests

mediapipe/tasks/ios/test/vision/hand_landmarker/utils/BUILD

@@ -12,10 +12,11 @@ objc_library(
         "-x objective-c++",
     ],
     deps = [
-        "//mediapipe/tasks/ios/test/vision/utils:parse_proto_utils",
         "//mediapipe/framework/formats:classification_cc_proto",
         "//mediapipe/tasks/cc/components/containers/proto:landmarks_detection_result_cc_proto",
-        "//mediapipe/tasks/ios/vision/hand_landmarker/utils:MPPHandLandmarkerResultHelpers",
         "//mediapipe/tasks/ios/common/utils:NSStringHelpers",
+        "//mediapipe/tasks/ios/test/vision/utils:parse_proto_utils",
+        "//mediapipe/tasks/ios/vision/hand_landmarker:MPPHandLandmarkerResult",
+        "//mediapipe/tasks/ios/vision/hand_landmarker/utils:MPPHandLandmarkerResultHelpers",
     ],
 )

mediapipe/tasks/ios/test/vision/hand_landmarker/utils/sources/MPPHandLandmarkerResult+ProtobufHelpers.h

@@ -18,8 +18,7 @@
 NS_ASSUME_NONNULL_BEGIN
 @interface MPPHandLandmarkerResult (ProtobufHelpers)
 
-+ (MPPHandLandmarkerResult *)
++ (MPPHandLandmarkerResult *)handLandmarkerResultFromProtobufFileWithName:(NSString *)fileName
-    handLandmarkerResultFromTextEncodedProtobufFileWithName:(NSString *)fileName
                                                     shouldRemoveZPosition:(BOOL)removeZPosition;
 
 @end

mediapipe/tasks/ios/test/vision/hand_landmarker/utils/sources/MPPHandLandmarkerResult+ProtobufHelpers.mm

@@ -31,8 +31,7 @@ using ::mediapipe::tasks::ios::test::vision::utils::get_proto_from_pbtxt;
 
 @implementation MPPHandLandmarkerResult (ProtobufHelpers)
 
-+ (MPPHandLandmarkerResult *)
++ (MPPHandLandmarkerResult *)handLandmarkerResultFromProtobufFileWithName:(NSString *)fileName
-    handLandmarkerResultFromTextEncodedProtobufFileWithName:(NSString *)fileName
                                                     shouldRemoveZPosition:(BOOL)removeZPosition {
   LandmarksDetectionResultProto landmarkDetectionResultProto;
 

mediapipe/tasks/python/metadata/flatbuffers_lib/flatbuffers_lib.cc

@@ -41,12 +41,12 @@ PYBIND11_MODULE(_pywrap_flatbuffers, m) {
         self->PushFlatBuffer(reinterpret_cast<const uint8_t*>(contents.c_str()),
                              contents.length());
       });
-  m.def("generate_text_file", &flatbuffers::GenerateTextFile);
+  m.def("generate_text_file", &flatbuffers::GenTextFile);
   m.def("generate_text",
         [](const flatbuffers::Parser& parser,
            const std::string& buffer) -> std::string {
           std::string text;
-          const char* result = flatbuffers::GenerateText(
+          const char* result = flatbuffers::GenText(
               parser, reinterpret_cast<const void*>(buffer.c_str()), &text);
           if (result) {
             return "";

mediapipe/tasks/web/audio/BUILD

@@ -38,7 +38,7 @@ mediapipe_files(srcs = [
 ])
 
 rollup_bundle(
-    name = "audio_bundle",
+    name = "audio_bundle_mjs",
     config_file = "//mediapipe/tasks/web:rollup.config.mjs",
     entry_point = "index.ts",
     format = "esm",
@@ -69,6 +69,29 @@ rollup_bundle(
     ],
 )
 
+genrule(
+    name = "audio_sources",
+    srcs = [
+        ":audio_bundle_cjs",
+        ":audio_bundle_mjs",
+    ],
+    outs = [
+        "audio_bundle.cjs",
+        "audio_bundle.cjs.map",
+        "audio_bundle.mjs",
+        "audio_bundle.mjs.map",
+    ],
+    cmd = (
+        "for FILE in $(SRCS); do " +
+        "  OUT_FILE=$(GENDIR)/mediapipe/tasks/web/audio/$$(" +
+        "      basename $$FILE | sed -E 's/_([cm])js\\.js/.\\1js/'" +
+        "  ); " +
+        "  echo $$FILE ; echo $$OUT_FILE ; " +
+        "  cp $$FILE $$OUT_FILE ; " +
+        "done;"
+    ),
+)
+
 genrule(
     name = "package_json",
     srcs = ["//mediapipe/tasks/web:package.json"],
@@ -91,8 +114,7 @@ pkg_npm(
         "wasm/audio_wasm_internal.wasm",
         "wasm/audio_wasm_nosimd_internal.js",
         "wasm/audio_wasm_nosimd_internal.wasm",
-        ":audio_bundle",
+        ":audio_sources",
-        ":audio_bundle_cjs",
         ":package_json",
     ],
 )

mediapipe/tasks/web/package.json

@@ -2,11 +2,12 @@
   "name": "@mediapipe/tasks-__NAME__",
   "version": "__VERSION__",
   "description": "__DESCRIPTION__",
-  "main": "__NAME___bundle_cjs.js",
+  "main": "__NAME___bundle.cjs",
-  "browser": "__NAME___bundle.js",
+  "browser": "__NAME___bundle.mjs",
-  "module": "__NAME___bundle.js",
+  "module": "__NAME___bundle.mjs",
   "author": "mediapipe@google.com",
   "license": "Apache-2.0",
+  "type": "module",
   "types": "__TYPES__",
   "homepage": "http://mediapipe.dev",
   "keywords": [ "AR", "ML", "Augmented", "MediaPipe", "MediaPipe Tasks" ]

mediapipe/tasks/web/text/BUILD

@@ -39,7 +39,7 @@ mediapipe_ts_library(
 )
 
 rollup_bundle(
-    name = "text_bundle",
+    name = "text_bundle_mjs",
     config_file = "//mediapipe/tasks/web:rollup.config.mjs",
     entry_point = "index.ts",
     format = "esm",
@@ -70,6 +70,29 @@ rollup_bundle(
     ],
 )
 
+genrule(
+    name = "text_sources",
+    srcs = [
+        ":text_bundle_cjs",
+        ":text_bundle_mjs",
+    ],
+    outs = [
+        "text_bundle.cjs",
+        "text_bundle.cjs.map",
+        "text_bundle.mjs",
+        "text_bundle.mjs.map",
+    ],
+    cmd = (
+        "for FILE in $(SRCS); do " +
+        "  OUT_FILE=$(GENDIR)/mediapipe/tasks/web/text/$$(" +
+        "      basename $$FILE | sed -E 's/_([cm])js\\.js/.\\1js/'" +
+        "  ); " +
+        "  echo $$FILE ; echo $$OUT_FILE ; " +
+        "  cp $$FILE $$OUT_FILE ; " +
+        "done;"
+    ),
+)
+
 genrule(
     name = "package_json",
     srcs = ["//mediapipe/tasks/web:package.json"],
@@ -93,7 +116,6 @@ pkg_npm(
         "wasm/text_wasm_nosimd_internal.js",
         "wasm/text_wasm_nosimd_internal.wasm",
         ":package_json",
-        ":text_bundle",
+        ":text_sources",
-        ":text_bundle_cjs",
     ],
 )

mediapipe/tasks/web/vision/BUILD

@@ -50,7 +50,7 @@ mediapipe_ts_library(
 )
 
 rollup_bundle(
-    name = "vision_bundle",
+    name = "vision_bundle_mjs",
     config_file = "//mediapipe/tasks/web:rollup.config.mjs",
     entry_point = "index.ts",
     format = "esm",
@@ -81,6 +81,29 @@ rollup_bundle(
     ],
 )
 
+genrule(
+    name = "vision_sources",
+    srcs = [
+        ":vision_bundle_cjs",
+        ":vision_bundle_mjs",
+    ],
+    outs = [
+        "vision_bundle.cjs",
+        "vision_bundle.cjs.map",
+        "vision_bundle.mjs",
+        "vision_bundle.mjs.map",
+    ],
+    cmd = (
+        "for FILE in $(SRCS); do " +
+        "  OUT_FILE=$(GENDIR)/mediapipe/tasks/web/vision/$$(" +
+        "      basename $$FILE | sed -E 's/_([cm])js\\.js/.\\1js/'" +
+        "  ); " +
+        "  echo $$FILE ; echo $$OUT_FILE ; " +
+        "  cp $$FILE $$OUT_FILE ; " +
+        "done;"
+    ),
+)
+
 genrule(
     name = "package_json",
     srcs = ["//mediapipe/tasks/web:package.json"],
@@ -104,7 +127,6 @@ pkg_npm(
         "wasm/vision_wasm_nosimd_internal.js",
         "wasm/vision_wasm_nosimd_internal.wasm",
         ":package_json",
-        ":vision_bundle",
+        ":vision_sources",
-        ":vision_bundle_cjs",
     ],
 )

mediapipe/util/cpu_util.cc

@@ -26,7 +26,6 @@
 #include <fstream>
 
 #include "absl/algorithm/container.h"
-#include "absl/flags/flag.h"
 #include "absl/strings/match.h"
 #include "absl/strings/numbers.h"
 #include "absl/strings/str_cat.h"
@@ -35,23 +34,14 @@
 #include "mediapipe/framework/port/integral_types.h"
 #include "mediapipe/framework/port/statusor.h"
 
-ABSL_FLAG(std::string, system_cpu_max_freq_file,
-          "/sys/devices/system/cpu/cpu$0/cpufreq/cpuinfo_max_freq",
-          "The file pattern for CPU max frequencies, where $0 will be replaced "
-          "with the CPU id.");
-
 namespace mediapipe {
 namespace {
 
 constexpr uint32_t kBufferLength = 64;
 
 absl::StatusOr<std::string> GetFilePath(int cpu) {
-  if (!absl::StrContains(absl::GetFlag(FLAGS_system_cpu_max_freq_file), "$0")) {
+  return absl::Substitute(
-    return absl::InvalidArgumentError(
+      "/sys/devices/system/cpu/cpu$0/cpufreq/cpuinfo_max_freq", cpu);
-        absl::StrCat("Invalid frequency file: ",
-                     absl::GetFlag(FLAGS_system_cpu_max_freq_file)));
-  }
-  return absl::Substitute(absl::GetFlag(FLAGS_system_cpu_max_freq_file), cpu);
 }
 
 absl::StatusOr<uint64_t> GetCpuMaxFrequency(int cpu) {

mediapipe/util/sequence/media_sequence.cc

@@ -147,6 +147,22 @@ absl::Status ReconcileMetadataImages(const std::string& prefix,
   return absl::OkStatus();
 }
 
+// Reconciles metadata for all images.
+absl::Status ReconcileMetadataImages(tensorflow::SequenceExample* sequence) {
+  RET_CHECK_OK(ReconcileMetadataImages("", sequence));
+  for (const auto& key_value : sequence->feature_lists().feature_list()) {
+    const auto& key = key_value.first;
+    if (::absl::StrContains(key, kImageTimestampKey)) {
+      std::string prefix = "";
+      if (key != kImageTimestampKey) {
+        prefix = key.substr(0, key.size() - sizeof(kImageTimestampKey));
+      }
+      RET_CHECK_OK(ReconcileMetadataImages(prefix, sequence));
+    }
+  }
+  return absl::OkStatus();
+}
+
 // Sets the values of "feature/${TAG}/dimensions", and
 // "feature/${TAG}/frame_rate" for each float list feature TAG. If the
 // dimensions are already present as a context feature, this method verifies
@@ -545,10 +561,7 @@ absl::Status ReconcileMetadata(bool reconcile_bbox_annotations,
                                bool reconcile_region_annotations,
                                tensorflow::SequenceExample* sequence) {
   RET_CHECK_OK(ReconcileAnnotationIndicesByImageTimestamps(sequence));
-  RET_CHECK_OK(ReconcileMetadataImages("", sequence));
+  RET_CHECK_OK(ReconcileMetadataImages(sequence));
-  RET_CHECK_OK(ReconcileMetadataImages(kForwardFlowPrefix, sequence));
-  RET_CHECK_OK(ReconcileMetadataImages(kClassSegmentationPrefix, sequence));
-  RET_CHECK_OK(ReconcileMetadataImages(kInstanceSegmentationPrefix, sequence));
   RET_CHECK_OK(ReconcileMetadataFeatureFloats(sequence));
   if (reconcile_bbox_annotations) {
     RET_CHECK_OK(ReconcileMetadataBoxAnnotations("", sequence));

third_party/flatbuffers/workspace.bzl

@@ -5,11 +5,11 @@ load("//third_party:repo.bzl", "third_party_http_archive")
 def repo():
     third_party_http_archive(
         name = "flatbuffers",
-        strip_prefix = "flatbuffers-23.5.8",
+        strip_prefix = "flatbuffers-23.5.26",
-        sha256 = "55b75dfa5b6f6173e4abf9c35284a10482ba65db886b39db511eba6c244f1e88",
+        sha256 = "1cce06b17cddd896b6d73cc047e36a254fb8df4d7ea18a46acf16c4c0cd3f3f3",
         urls = [
-            "https://github.com/google/flatbuffers/archive/v23.5.8.tar.gz",
+            "https://github.com/google/flatbuffers/archive/v23.5.26.tar.gz",
-            "https://github.com/google/flatbuffers/archive/v23.5.8.tar.gz",
+            "https://github.com/google/flatbuffers/archive/v23.5.26.tar.gz",
         ],
         build_file = "//third_party/flatbuffers:BUILD.bazel",
         delete = ["build_defs.bzl", "BUILD.bazel"],