This CL fixes the multiple typos in the new task api solution

PiperOrigin-RevId: 521407588

mediapipe/tasks/java/com/google/mediapipe/tasks/core/OutputHandler.java

@@ -33,7 +33,7 @@ public class OutputHandler<OutputT extends TaskResult, InputT> {
 
   /**
    * Interface for the customizable MediaPipe task result listener that can reteive both task result
-   * objects and the correpsonding input data.
+   * objects and the corresponding input data.
    */
   public interface ResultListener<OutputT extends TaskResult, InputT> {
     void run(OutputT result, InputT input);
@@ -90,8 +90,8 @@ public class OutputHandler<OutputT extends TaskResult, InputT> {
   }
 
   /**
-   * Sets whether the output handler should react to the timestamp bound changes that are reprsented
+   * Sets whether the output handler should react to the timestamp bound changes that are
-   * as empty output {@link Packet}s.
+   * represented as empty output {@link Packet}s.
    *
    * @param handleTimestampBoundChanges A boolean value.
    */

mediapipe/tasks/java/com/google/mediapipe/tasks/core/TaskInfo.java

@@ -24,7 +24,7 @@ import java.util.ArrayList;
 import java.util.List;
 
 /**
- * {@link TaskInfo} contains all needed informaton to initialize a MediaPipe Task {@link
+ * {@link TaskInfo} contains all needed information to initialize a MediaPipe Task {@link
  * com.google.mediapipe.framework.Graph}.
  */
 @AutoValue

mediapipe/tasks/java/com/google/mediapipe/tasks/vision/facelandmarker/FaceLandmarkerResult.java

@@ -108,7 +108,7 @@ public abstract class FaceLandmarkerResult implements TaskResult {
   public abstract Optional<List<List<Category>>> faceBlendshapes();
 
   /**
-   * Optional facial transformation matrix list from cannonical face to the detected face landmarks.
+   * Optional facial transformation matrix list from canonical face to the detected face landmarks.
    * The 4x4 facial transformation matrix is represetned as a flat column-major float array.
    */
   public abstract Optional<List<float[]>> facialTransformationMatrixes();

mediapipe/tasks/java/com/google/mediapipe/tasks/vision/gesturerecognizer/GestureRecognizer.java

@@ -403,10 +403,10 @@ public final class GestureRecognizer extends BaseVisionTaskApi {
       public abstract Builder setMinTrackingConfidence(Float value);
 
       /**
-       * Sets the optional {@link ClassifierOptions} controling the canned gestures classifier, such
+       * Sets the optional {@link ClassifierOptions} controlling the canned gestures classifier,
-       * as score threshold, allow list and deny list of gestures. The categories for canned gesture
+       * such as score threshold, allow list and deny list of gestures. The categories
-       * classifiers are: ["None", "Closed_Fist", "Open_Palm", "Pointing_Up", "Thumb_Down",
+       * for canned gesture classifiers are: ["None", "Closed_Fist", "Open_Palm",
-       * "Thumb_Up", "Victory", "ILoveYou"]
+       * "Pointing_Up", "Thumb_Down", "Thumb_Up", "Victory", "ILoveYou"]
        *
        * <p>TODO  Note this option is subject to change, after scoring merging
        * calculator is implemented.
@@ -415,8 +415,8 @@ public final class GestureRecognizer extends BaseVisionTaskApi {
           ClassifierOptions classifierOptions);
 
       /**
-       * Sets the optional {@link ClassifierOptions} controling the custom gestures classifier, such
+       * Sets the optional {@link ClassifierOptions} controlling the custom gestures classifier,
-       * as score threshold, allow list and deny list of gestures.
+       * such as score threshold, allow list and deny list of gestures.
        *
        * <p>TODO  Note this option is subject to change, after scoring merging
        * calculator is implemented.

mediapipe/tasks/java/com/google/mediapipe/tasks/vision/imagesegmenter/ImageSegmenter.java

@@ -302,7 +302,7 @@ public final class ImageSegmenter extends BaseVisionTaskApi {
    * @throws IllegalArgumentException if the {@link ImageProcessingOptions} specify a
    *     region-of-interest.
    * @throws MediaPipeException if there is an internal error. Or if {@link ImageSegmenter} is not
-   *     created wtih {@link ResultListener} set in {@link ImageSegmenterOptions}.
+   *     created with {@link ResultListener} set in {@link ImageSegmenterOptions}.
    */
   public void segmentWithResultListener(MPImage image) {
     segmentWithResultListener(image, ImageProcessingOptions.builder().build());
@@ -329,7 +329,7 @@ public final class ImageSegmenter extends BaseVisionTaskApi {
    * @throws IllegalArgumentException if the {@link ImageProcessingOptions} specify a
    *     region-of-interest.
    * @throws MediaPipeException if there is an internal error. Or if {@link ImageSegmenter} is not
-   *     created wtih {@link ResultListener} set in {@link ImageSegmenterOptions}.
+   *     created with {@link ResultListener} set in {@link ImageSegmenterOptions}.
    */
   public void segmentWithResultListener(
       MPImage image, ImageProcessingOptions imageProcessingOptions) {
@@ -421,7 +421,7 @@ public final class ImageSegmenter extends BaseVisionTaskApi {
    * @param image a MediaPipe {@link MPImage} object for processing.
    * @param timestampMs the input timestamp (in milliseconds).
    * @throws MediaPipeException if there is an internal error. Or if {@link ImageSegmenter} is not
-   *     created wtih {@link ResultListener} set in {@link ImageSegmenterOptions}.
+   *     created with {@link ResultListener} set in {@link ImageSegmenterOptions}.
    */
   public void segmentForVideoWithResultListener(MPImage image, long timestampMs) {
     segmentForVideoWithResultListener(image, ImageProcessingOptions.builder().build(), timestampMs);
@@ -444,7 +444,7 @@ public final class ImageSegmenter extends BaseVisionTaskApi {
    * @param image a MediaPipe {@link MPImage} object for processing.
    * @param timestampMs the input timestamp (in milliseconds).
    * @throws MediaPipeException if there is an internal error. Or if {@link ImageSegmenter} is not
-   *     created wtih {@link ResultListener} set in {@link ImageSegmenterOptions}.
+   *     created with {@link ResultListener} set in {@link ImageSegmenterOptions}.
    */
   public void segmentForVideoWithResultListener(
       MPImage image, ImageProcessingOptions imageProcessingOptions, long timestampMs) {

mediapipe/tasks/java/com/google/mediapipe/tasks/vision/interactivesegmenter/InteractiveSegmenter.java

@@ -327,7 +327,7 @@ public final class InteractiveSegmenter extends BaseVisionTaskApi {
    * @throws IllegalArgumentException if the {@link ImageProcessingOptions} specify a
    *     region-of-interest.
    * @throws MediaPipeException if there is an internal error. Or if {@link InteractiveSegmenter} is
-   *     not created wtih {@link ResultListener} set in {@link InteractiveSegmenterOptions}.
+   *     not created with {@link ResultListener} set in {@link InteractiveSegmenterOptions}.
    */
   public void segmentWithResultListener(MPImage image, RegionOfInterest roi) {
     segmentWithResultListener(image, roi, ImageProcessingOptions.builder().build());
@@ -357,7 +357,7 @@ public final class InteractiveSegmenter extends BaseVisionTaskApi {
    * @throws IllegalArgumentException if the {@link ImageProcessingOptions} specify a
    *     region-of-interest.
    * @throws MediaPipeException if there is an internal error. Or if {@link InteractiveSegmenter} is
-   *     not created wtih {@link ResultListener} set in {@link InteractiveSegmenterOptions}.
+   *     not created with {@link ResultListener} set in {@link InteractiveSegmenterOptions}.
    */
   public void segmentWithResultListener(
       MPImage image, RegionOfInterest roi, ImageProcessingOptions imageProcessingOptions) {

mediapipe/tasks/metadata/metadata_schema.fbs

@@ -142,7 +142,7 @@ enum AssociatedFileType : byte {
 
   // TODO: introduce the ScaNN index file with links once the code
   // is released.
-  // Contains on-devide ScaNN index file with LevelDB format.
+  // Contains on-device ScaNN index file with LevelDB format.
   // Added in: 1.4.0
   SCANN_INDEX_FILE = 6,
 }

mediapipe/tasks/python/metadata/metadata.py

@@ -121,7 +121,7 @@ class MetadataPopulator(object):
   Then, pack the metadata and label file into the model as follows.
 
     ```python
-    # Populating a metadata file (or a metadta buffer) and associated files to
+    # Populating a metadata file (or a metadata buffer) and associated files to
     a model file:
     populator = MetadataPopulator.with_model_file(model_file)
     # For metadata buffer (bytearray read from the metadata file), use:
@@ -332,7 +332,7 @@ class MetadataPopulator(object):
     Raises:
       IOError: File not found.
       ValueError: The metadata to be populated is empty.
-      ValueError: The metadata does not have the expected flatbuffer identifer.
+      ValueError: The metadata does not have the expected flatbuffer identifier.
       ValueError: Cannot get minimum metadata parser version.
       ValueError: The number of SubgraphMetadata is not 1.
       ValueError: The number of input/output tensors does not match the number

mediapipe/tasks/python/metadata/metadata_writers/metadata_info.py

@@ -559,7 +559,7 @@ class InputTextTensorMd(TensorMd):
       name: name of the tensor.
       description: description of what the tensor is.
       tokenizer_md: information of the tokenizer in the input text tensor, if
-        any. Only `RegexTokenizer` [1] is currenly supported. If the tokenizer
+        any. Only `RegexTokenizer` [1] is currently supported. If the tokenizer
         is `BertTokenizer` [2] or `SentencePieceTokenizer` [3], refer to
         `BertInputTensorsMd` class.
       [1]:

mediapipe/tasks/python/test/metadata/metadata_test.py

@@ -388,7 +388,7 @@ class MetadataPopulatorTest(MetadataTest):
     populator = _metadata.MetadataPopulator.with_model_file(self._model_file)
     populator.load_metadata_file(self._metadata_file)
     populator.load_associated_files([self._file1])
-    # Suppose to populate self._file2, because it is recorded in the metadta.
+    # Suppose to populate self._file2, because it is recorded in the metadata.
     with self.assertRaises(ValueError) as error:
       populator.populate()
     self.assertEqual(("File, '{0}', is recorded in the metadata, but has "

mediapipe/tasks/python/vision/core/base_vision_task_api.py

@@ -144,7 +144,7 @@ class BaseVisionTaskApi(object):
         set. By default, it's set to True.
 
     Returns:
-      A normalized rect proto that repesents the image processing options.
+      A normalized rect proto that represents the image processing options.
     """
     normalized_rect = _NormalizedRect(
         rotation=0, x_center=0.5, y_center=0.5, width=1, height=1)

mediapipe/tasks/web/components/containers/matrix.d.ts

@@ -14,7 +14,7 @@
  * limitations under the License.
  */
 
-/** A two-dimenionsal matrix. */
+/** A two-dimensional matrix. */
 export declare interface Matrix {
   /** The number of rows. */
   rows: number;

mediapipe/tasks/web/vision/core/types.d.ts

@@ -19,7 +19,7 @@ import {NormalizedKeypoint} from '../../../../tasks/web/components/containers/ke
 /**
  * The segmentation tasks return the segmentation either as a WebGLTexture (when
  * the output is on GPU) or as a typed JavaScript arrays for CPU-based
- * category or confidence masks. `Uint8ClampedArray`s are used to represend
+ * category or confidence masks. `Uint8ClampedArray`s are used to represent
  * CPU-based category masks and `Float32Array`s are used for CPU-based
  * confidence masks.
  */

mediapipe/tasks/web/vision/core/vision_task_options.d.ts

@@ -27,7 +27,7 @@ export type RunningMode = 'IMAGE'|'VIDEO';
 export declare interface VisionTaskOptions extends TaskRunnerOptions {
   /**
    * The canvas element to bind textures to. This has to be set for GPU
-   * processing. The task will initialize a WebGL context and throw an eror if
+   * processing. The task will initialize a WebGL context and throw an error if
    * this fails (e.g. if you have already initialized a different type of
    * context).
    */