Internal change

PiperOrigin-RevId: 516535124

mediapipe/tasks/cc/common.h

@@ -30,7 +30,7 @@ constexpr absl::string_view kMediaPipeTasksPayload = "MediaPipeTasksStatus";
 //
 // At runtime, such codes are meant to be attached (where applicable) to a
 // `absl::Status` in a key-value manner with `kMediaPipeTasksPayload` as key and
-// stringifed error code as value (aka payload). This logic is encapsulated in
+// stringified error code as value (aka payload). This logic is encapsulated in
 // the `CreateStatusWithPayload` helper below for convenience.
 //
 // The returned status includes:

mediapipe/tasks/cc/metadata/metadata_populator.h

@@ -64,7 +64,7 @@ class ModelMetadataPopulator {
   // Loads associated files into the TFLite FlatBuffer model. The input is a map
   // of {filename, file contents}.
   //
-  // Warning: this method removes any previoulsy present associated files.
+  // Warning: this method removes any previously present associated files.
   // Calling this method multiple time removes any associated files from
   // previous calls, so this method should usually be called only once.
   void LoadAssociatedFiles(

mediapipe/tasks/cc/metadata/python/metadata_version.cc

@@ -31,8 +31,8 @@ PYBIND11_MODULE(_pywrap_metadata_version, m) {
 
   // Using pybind11 type conversions to convert between Python and native
   // C++ types. There are other options to provide access to native Python types
-  // in C++ and vice versa. See the pybind 11 instrcution [1] for more details.
+  // in C++ and vice versa. See the pybind 11 instruction [1] for more details.
-  // Type converstions is recommended by pybind11, though the main downside
+  // Type conversions is recommended by pybind11, though the main downside
   // is that a copy of the data must be made on every Python to C++ transition:
   // this is needed since the C++ and Python versions of the same type generally
   // won’t have the same memory layout.

mediapipe/tasks/cc/metadata/tests/metadata_version_test.cc

@@ -79,7 +79,7 @@ TEST(MetadataVersionTest,
   auto metadata = metadata_builder.Finish();
   FinishModelMetadataBuffer(builder, metadata);
 
-  // Gets the mimimum metadata parser version.
+  // Gets the minimum metadata parser version.
   std::string min_version;
   EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
                                             builder.GetSize(), &min_version),
@@ -100,7 +100,7 @@ TEST(MetadataVersionTest,
   auto metadata = metadata_builder.Finish();
   builder.Finish(metadata);
 
-  // Gets the mimimum metadata parser version and triggers error.
+  // Gets the minimum metadata parser version and triggers error.
   std::string min_version;
   EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
                                             builder.GetSize(), &min_version),
@@ -121,7 +121,7 @@ TEST(MetadataVersionTest,
   metadata_builder.add_associated_files(associated_files);
   FinishModelMetadataBuffer(builder, metadata_builder.Finish());
 
-  // Gets the mimimum metadata parser version.
+  // Gets the minimum metadata parser version.
   std::string min_version;
   EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
                                             builder.GetSize(), &min_version),
@@ -147,7 +147,7 @@ TEST(MetadataVersionTest,
   metadata_builder.add_subgraph_metadata(subgraphs);
   FinishModelMetadataBuffer(builder, metadata_builder.Finish());
 
-  // Gets the mimimum metadata parser version.
+  // Gets the minimum metadata parser version.
   std::string min_version;
   EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
                                             builder.GetSize(), &min_version),
@@ -172,7 +172,7 @@ TEST(MetadataVersionTest,
       std::vector<Offset<TensorMetadata>>{tensor_builder.Finish()});
   CreateModelWithMetadata(tensors, builder);
 
-  // Gets the mimimum metadata parser version.
+  // Gets the minimum metadata parser version.
   std::string min_version;
   EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
                                             builder.GetSize(), &min_version),
@@ -203,7 +203,7 @@ TEST(MetadataVersionTest,
   metadata_builder.add_subgraph_metadata(subgraphs);
   FinishModelMetadataBuffer(builder, metadata_builder.Finish());
 
-  // Gets the mimimum metadata parser version.
+  // Gets the minimum metadata parser version.
   std::string min_version;
   EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
                                             builder.GetSize(), &min_version),
@@ -234,7 +234,7 @@ TEST(MetadataVersionTest,
   metadata_builder.add_subgraph_metadata(subgraphs);
   FinishModelMetadataBuffer(builder, metadata_builder.Finish());
 
-  // Gets the mimimum metadata parser version.
+  // Gets the minimum metadata parser version.
   std::string min_version;
   EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
                                             builder.GetSize(), &min_version),
@@ -294,7 +294,7 @@ TEST(MetadataVersionTest,
       std::vector<Offset<TensorMetadata>>{tensor_builder.Finish()});
   CreateModelWithMetadata(tensors, builder);
 
-  // Gets the mimimum metadata parser version.
+  // Gets the minimum metadata parser version.
   std::string min_version;
   EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
                                             builder.GetSize(), &min_version),
@@ -323,7 +323,7 @@ TEST(MetadataVersionTest,
       std::vector<Offset<TensorMetadata>>{tensor_builder.Finish()});
   CreateModelWithMetadata(tensors, builder);
 
-  // Gets the mimimum metadata parser version.
+  // Gets the minimum metadata parser version.
   std::string min_version;
   EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
                                             builder.GetSize(), &min_version),
@@ -348,7 +348,7 @@ TEST(MetadataVersionTest,
   metadata_builder.add_subgraph_metadata(subgraphs);
   FinishModelMetadataBuffer(builder, metadata_builder.Finish());
 
-  // Gets the mimimum metadata parser version.
+  // Gets the minimum metadata parser version.
   std::string min_version;
   EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
                                             builder.GetSize(), &min_version),
@@ -373,7 +373,7 @@ TEST(MetadataVersionTest,
   metadata_builder.add_subgraph_metadata(subgraphs);
   FinishModelMetadataBuffer(builder, metadata_builder.Finish());
 
-  // Gets the mimimum metadata parser version.
+  // Gets the minimum metadata parser version.
   std::string min_version;
   EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
                                             builder.GetSize(), &min_version),
@@ -404,7 +404,7 @@ TEST(MetadataVersionTest,
   metadata_builder.add_subgraph_metadata(subgraphs);
   FinishModelMetadataBuffer(builder, metadata_builder.Finish());
 
-  // Gets the mimimum metadata parser version.
+  // Gets the minimum metadata parser version.
   std::string min_version;
   EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
                                             builder.GetSize(), &min_version),
@@ -431,7 +431,7 @@ TEST(MetadataVersionTest,
       std::vector<Offset<TensorMetadata>>{tensor_builder.Finish()});
   CreateModelWithMetadata(tensors, builder);
 
-  // Gets the mimimum metadata parser version.
+  // Gets the minimum metadata parser version.
   std::string min_version;
   EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
                                             builder.GetSize(), &min_version),
@@ -453,7 +453,7 @@ TEST(MetadataVersionTest,
   metadata_builder.add_associated_files(associated_files);
   FinishModelMetadataBuffer(builder, metadata_builder.Finish());
 
-  // Gets the mimimum metadata parser version.
+  // Gets the minimum metadata parser version.
   std::string min_version;
   EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
                                             builder.GetSize(), &min_version),
@@ -476,7 +476,7 @@ TEST(MetadataVersionTest,
   metadata_builder.add_associated_files(associated_files);
   FinishModelMetadataBuffer(builder, metadata_builder.Finish());
 
-  // Gets the mimimum metadata parser version.
+  // Gets the minimum metadata parser version.
   std::string min_version;
   EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
                                             builder.GetSize(), &min_version),
@@ -504,7 +504,7 @@ TEST(MetadataVersionTest, GetMinimumMetadataParserVersionForOptions) {
   metadata_builder.add_subgraph_metadata(subgraphs);
   FinishModelMetadataBuffer(builder, metadata_builder.Finish());
 
-  // Gets the mimimum metadata parser version.
+  // Gets the minimum metadata parser version.
   std::string min_version;
   EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
                                             builder.GetSize(), &min_version),

mediapipe/tasks/cc/text/tokenizers/sentencepiece_tokenizer_test.cc

@@ -34,7 +34,7 @@ constexpr char kTestSPModelPath[] =
 
 std::unique_ptr<SentencePieceTokenizer> CreateSentencePieceTokenizer(
     absl::string_view model_path) {
-  // We are using `LoadBinaryContent()` instead of loading the model direclty
+  // We are using `LoadBinaryContent()` instead of loading the model directly
   // via `SentencePieceTokenizer` so that the file can be located on Windows
   std::string buffer = LoadBinaryContent(kTestSPModelPath);
   return absl::make_unique<SentencePieceTokenizer>(buffer.data(),

mediapipe/tasks/cc/vision/gesture_recognizer/gesture_recognizer_graph.cc

@@ -127,7 +127,7 @@ absl::Status SetSubTaskBaseOptions(const ModelAssetBundleResources& resources,
         ->mutable_acceleration()
         ->mutable_xnnpack();
     LOG(WARNING) << "Hand Gesture Recognizer contains CPU only ops. Sets "
-                 << "HandGestureRecognizerGraph acceleartion to Xnnpack.";
+                 << "HandGestureRecognizerGraph acceleration to Xnnpack.";
   }
   hand_gesture_recognizer_graph_options->mutable_base_options()
       ->set_use_stream_mode(options->base_options().use_stream_mode());

mediapipe/tasks/cc/vision/hand_landmarker/hand_landmarker.h

@@ -101,7 +101,7 @@ class HandLandmarker : tasks::vision::core::BaseVisionTaskApi {
   // three running modes:
   // 1) Image mode for detecting hand landmarks on single image inputs. Users
   //    provide mediapipe::Image to the `Detect` method, and will receive the
-  //    deteced hand landmarks results as the return value.
+  //    detected hand landmarks results as the return value.
   // 2) Video mode for detecting hand landmarks on the decoded frames of a
   //    video. Users call `DetectForVideo` method, and will receive the detected
   //    hand landmarks results as the return value.

mediapipe/tasks/cc/vision/hand_landmarker/hand_landmarks_detector_graph.cc

@@ -409,7 +409,7 @@ REGISTER_MEDIAPIPE_GRAPH(
 // - Accepts CPU input image and a vector of hand rect RoIs to detect the
 //   multiple hands landmarks enclosed by the RoIs. Output vectors of
 //   hand landmarks related results, where each element in the vectors
-//   corrresponds to the result of the same hand.
+//   corresponds to the result of the same hand.
 //
 // Inputs:
 //   IMAGE - Image

mediapipe/tasks/cc/vision/image_embedder/image_embedder_test.cc

@@ -52,7 +52,7 @@ constexpr char kMobileNetV3Embedder[] =
 constexpr double kSimilarityTolerancy = 1e-6;
 
 // Utility function to check the sizes, head_index and head_names of a result
-// procuded by kMobileNetV3Embedder.
+// procduced by kMobileNetV3Embedder.
 void CheckMobileNetV3Result(const ImageEmbedderResult& result, bool quantized) {
   EXPECT_EQ(result.embeddings.size(), 1);
   EXPECT_EQ(result.embeddings[0].head_index, 0);

mediapipe/tasks/metadata/metadata_schema.fbs

@@ -233,7 +233,7 @@ table ImageProperties {
 //
 // <Codegen usage>:
 // Input image tensors: NA.
-// Output image tensors: parses the values into a data stucture that represents
+// Output image tensors: parses the values into a data structure that represents
 // bounding boxes. For example, in the generated wrapper for Android, it returns
 // the output as android.graphics.Rect objects.
 enum BoundingBoxType : byte {
@@ -389,7 +389,7 @@ table NormalizationOptions{
   // mean and std are normalization parameters. Tensor values are normalized
   // on a per-channel basis, by the formula
   //   (x - mean) / std.
-  // If there is only one value in mean or std, we'll propogate the value to
+  // If there is only one value in mean or std, we'll propagate the value to
   // all channels.
   //
   // Quantized models share the same normalization parameters as their
@@ -526,7 +526,7 @@ table Stats {
   // Max and min are not currently used in tflite.support codegen. They mainly
   // serve as references for users to better understand the model. They can also
   // be used to validate model pre/post processing results.
-  // If there is only one value in max or min, we'll propogate the value to
+  // If there is only one value in max or min, we'll propagate the value to
   // all channels.
 
   // Per-channel maximum value of the tensor.
@@ -542,7 +542,7 @@ table Stats {
 // has four outputs: classes, scores, bounding boxes, and number of detections.
 // If the four outputs are bundled together using TensorGroup (for example,
 // named as "detection result"), the codegen tool will generate the class,
-// `DetectionResult`, which contains the class, score, and bouding box. And the
+// `DetectionResult`, which contains the class, score, and bounding box. And the
 // outputs of the model will be converted to a list of `DetectionResults` and
 // the number of detection. Note that the number of detection is a single
 // number, therefore is inappropriate for the list of `DetectionResult`.
@@ -624,7 +624,7 @@ table SubGraphMetadata {
   // A description explains details about what the subgraph does.
   description:string;
 
-  // Metadata of all input tensors used in this subgraph. It matches extactly
+  // Metadata of all input tensors used in this subgraph. It matches exactly
   // the input tensors specified by `SubGraph.inputs` in the TFLite
   // schema.fbs file[2]. The number of `TensorMetadata` in the array should
   // equal to the number of indices in `SubGraph.inputs`.
@@ -634,7 +634,7 @@ table SubGraphMetadata {
   // Determines how to process the inputs.
   input_tensor_metadata:[TensorMetadata];
 
-  // Metadata of all output tensors used in this subgraph. It matches extactly
+  // Metadata of all output tensors used in this subgraph. It matches exactly
   // the output tensors specified by `SubGraph.outputs` in the TFLite
   // schema.fbs file[2]. The number of `TensorMetadata` in the array should
   // equal to the number of indices in `SubGraph.outputs`.
@@ -724,7 +724,7 @@ table ModelMetadata {
   // number among the versions of all the fields populated and the smallest
   // compatible version indicated by the file identifier.
   //
-  // This field is automaticaly populated by the MetadataPopulator when
+  // This field is automatically populated by the MetadataPopulator when
   // the metadata is populated into a TFLite model.
   min_parser_version:string;
 }