CL will fix the typos in the tasks files

PiperOrigin-RevId: 522240681

mediapipe/model_maker/python/core/data/dataset.py

@@ -84,7 +84,7 @@ class Dataset(object):
         create randomness during model training.
       preprocess: A function taking three arguments in order, feature, label and
         boolean is_training.
-      drop_remainder: boolean, whether the finaly batch drops remainder.
+      drop_remainder: boolean, whether the finally batch drops remainder.
 
     Returns:
       A TF dataset ready to be consumed by Keras model.

mediapipe/model_maker/python/core/hyperparameters.py

@@ -32,7 +32,7 @@ class BaseHParams:
     epochs: Number of training iterations over the dataset.
     steps_per_epoch: An optional integer indicate the number of training steps
       per epoch. If not set, the training pipeline calculates the default steps
-      per epoch as the training dataset size devided by batch size.
+      per epoch as the training dataset size divided by batch size.
     shuffle: True if the dataset is shuffled before training.
     export_dir: The location of the model checkpoint files.
     distribution_strategy: A string specifying which Distribution Strategy to

mediapipe/model_maker/python/vision/gesture_recognizer/BUILD

@@ -21,7 +21,7 @@ package(
     default_visibility = ["//mediapipe:__subpackages__"],
 )
 
-# TODO: Remove the unncessary test data once the demo data are moved to an open-sourced
+# TODO: Remove the unnecessary test data once the demo data are moved to an open-sourced
 # directory.
 filegroup(
     name = "testdata",

mediapipe/model_maker/python/vision/object_detector/dataset.py

@@ -155,8 +155,8 @@ class Dataset(classification_dataset.ClassificationDataset):
       ObjectDetectorDataset object.
     """
     # Get TFRecord Files
-    tfrecord_file_patten = cache_prefix + '*.tfrecord'
+    tfrecord_file_pattern = cache_prefix + '*.tfrecord'
-    matched_files = tf.io.gfile.glob(tfrecord_file_patten)
+    matched_files = tf.io.gfile.glob(tfrecord_file_pattern)
     if not matched_files:
       raise ValueError('TFRecord files are empty.')
 

mediapipe/model_maker/python/vision/object_detector/dataset_util.py

@@ -345,7 +345,7 @@ def _coco_annotations_to_lists(
   Args:
     bbox_annotations: List of dicts with keys ['bbox', 'category_id']
     image_height: Height of image
-    image_width: Width of iamge
+    image_width: Width of image
 
   Returns:
     (data, num_annotations_skipped) tuple where data contains the keys:

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

@@ -111,7 +111,7 @@ TEST(MetadataVersionTest,
 TEST(MetadataVersionTest,
      GetMinimumMetadataParserVersionForModelMetadataVocabAssociatedFiles) {
   // Creates a metadata flatbuffer with the field,
-  // ModelMetadata.associated_fiels, populated with the vocabulary file type.
+  // ModelMetadata.associated_fields, populated with the vocabulary file type.
   FlatBufferBuilder builder(1024);
   AssociatedFileBuilder associated_file_builder(builder);
   associated_file_builder.add_type(tflite::AssociatedFileType_VOCABULARY);
@@ -159,8 +159,8 @@ TEST(MetadataVersionTest,
 TEST(MetadataVersionTest,
      GetMinimumMetadataParserVersionForInputMetadataVocabAssociatedFiles) {
   // Creates a metadata flatbuffer with the field,
-  // SubGraphMetadata.input_tensor_metadata.associated_fiels, populated with the
+  // SubGraphMetadata.input_tensor_metadata.associated_fields, populated with
-  // vocabulary file type.
+  // the vocabulary file type.
   FlatBufferBuilder builder(1024);
   AssociatedFileBuilder associated_file_builder(builder);
   associated_file_builder.add_type(tflite::AssociatedFileType_VOCABULARY);
@@ -184,7 +184,7 @@ TEST(MetadataVersionTest,
 TEST(MetadataVersionTest,
      GetMinimumMetadataParserVersionForOutputMetadataVocabAssociatedFiles) {
   // Creates a metadata flatbuffer with the field,
-  // SubGraphMetadata.output_tensor_metadata.associated_fiels, populated with
+  // SubGraphMetadata.output_tensor_metadata.associated_fields, populated with
   // the vocabulary file type.
   FlatBufferBuilder builder(1024);
   AssociatedFileBuilder associated_file_builder(builder);

mediapipe/tasks/cc/vision/core/base_vision_task_api.h

@@ -188,7 +188,7 @@ class BaseVisionTaskApi : public tasks::core::BaseTaskApi {
     // For 90° and 270° rotations, we need to swap width and height.
     // This is due to the internal behavior of ImageToTensorCalculator, which:
     // - first denormalizes the provided rect by multiplying the rect width or
-    //   height by the image width or height, repectively.
+    //   height by the image width or height, respectively.
     // - then rotates this by denormalized rect by the provided rotation, and
     //   uses this for cropping,
     // - then finally rotates this back.

mediapipe/tasks/cc/vision/gesture_recognizer/hand_gesture_recognizer_graph.cc

@@ -374,22 +374,22 @@ class SingleHandGestureRecognizerGraph : public core::ModelTaskGraph {
     // Inference for custom gesture classifier if it exists.
     if (has_custom_gesture_classifier) {
       ASSIGN_OR_RETURN(
-          auto gesture_clasification_list,
+          auto gesture_classification_list,
           GetGestureClassificationList(
               sub_task_model_resources.custom_gesture_classifier_model_resource,
               graph_options.custom_gesture_classifier_graph_options(),
               embedding_tensors, graph));
-      gesture_clasification_list >> combine_predictions.In(classifier_nums++);
+      gesture_classification_list >> combine_predictions.In(classifier_nums++);
     }
 
     // Inference for canned gesture classifier.
     ASSIGN_OR_RETURN(
-        auto gesture_clasification_list,
+        auto gesture_classification_list,
         GetGestureClassificationList(
             sub_task_model_resources.canned_gesture_classifier_model_resource,
             graph_options.canned_gesture_classifier_graph_options(),
             embedding_tensors, graph));
-    gesture_clasification_list >> combine_predictions.In(classifier_nums++);
+    gesture_classification_list >> combine_predictions.In(classifier_nums++);
 
     auto combined_classification_list =
         combine_predictions.Out(kPredictionTag).Cast<ClassificationList>();

mediapipe/tasks/ios/test/vision/utils/sources/MPPImage+TestUtils.h

@@ -29,7 +29,7 @@ NS_ASSUME_NONNULL_BEGIN
  * @param classObject The specified class associated with the bundle containing the file to be
  * loaded.
  * @param name Name of the image file.
- * @param type Extenstion of the image file.
+ * @param type Extension of the image file.
  *
  * @return The `MPPImage` object contains the loaded image. This method returns
  * nil if it cannot load the image.
@@ -46,7 +46,7 @@ NS_ASSUME_NONNULL_BEGIN
  * @param classObject The specified class associated with the bundle containing the file to be
  * loaded.
  * @param name Name of the image file.
- * @param type Extenstion of the image file.
+ * @param type Extension of the image file.
  * @param orientation Orientation of the image.
  *
  * @return The `MPPImage` object contains the loaded image. This method returns

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

@@ -94,7 +94,7 @@ public class TaskRunner implements AutoCloseable {
    *
    * <p>Note: This method is designed for processing batch data such as unrelated images and texts.
    * The call blocks the current thread until a failure status or a successful result is returned.
-   * An internal timestamp will be assigend per invocation. This method is thread-safe and allows
+   * An internal timestamp will be assigned per invocation. This method is thread-safe and allows
    * clients to call it from different threads.
    *
    * @param inputs a map contains (input stream {@link String}, data {@link Packet}) pairs.

mediapipe/tasks/java/com/google/mediapipe/tasks/vision/facestylizer/FaceStylizer.java

@@ -254,7 +254,7 @@ public final class FaceStylizer extends BaseVisionTaskApi {
    * @throws IllegalArgumentException if the {@link ImageProcessingOptions} specify a
    *     region-of-interest.
    * @throws MediaPipeException if there is an internal error. Or if {@link FaceStylizer} is not
-   *     created wtih {@link ResultListener} set in {@link FaceStylizerOptions}.
+   *     created with {@link ResultListener} set in {@link FaceStylizerOptions}.
    */
   public void stylizeWithResultListener(MPImage image) {
     stylizeWithResultListener(image, ImageProcessingOptions.builder().build());
@@ -283,7 +283,7 @@ public final class FaceStylizer extends BaseVisionTaskApi {
    * @throws IllegalArgumentException if the {@link ImageProcessingOptions} specify a
    *     region-of-interest.
    * @throws MediaPipeException if there is an internal error. Or if {@link FaceStylizer} is not
-   *     created wtih {@link ResultListener} set in {@link FaceStylizerOptions}.
+   *     created with {@link ResultListener} set in {@link FaceStylizerOptions}.
    */
   public void stylizeWithResultListener(
       MPImage image, ImageProcessingOptions imageProcessingOptions) {
@@ -384,7 +384,7 @@ public final class FaceStylizer 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 FaceStylizer} is not
-   *     created wtih {@link ResultListener} set in {@link FaceStylizerOptions}.
+   *     created with {@link ResultListener} set in {@link FaceStylizerOptions}.
    */
   public void stylizeForVideoWithResultListener(MPImage image, long timestampMs) {
     stylizeForVideoWithResultListener(image, ImageProcessingOptions.builder().build(), timestampMs);
@@ -411,7 +411,7 @@ public final class FaceStylizer 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 FaceStylizer} is not
-   *     created wtih {@link ResultListener} set in {@link FaceStylizerOptions}.
+   *     created with {@link ResultListener} set in {@link FaceStylizerOptions}.
    */
   public void stylizeForVideoWithResultListener(
       MPImage image, ImageProcessingOptions imageProcessingOptions, long timestampMs) {

mediapipe/tasks/web/components/processors/classifier_result.test.ts

@@ -32,12 +32,12 @@ describe('convertFromClassificationResultProto()', () => {
     classifcations.setHeadIndex(1);
     classifcations.setHeadName('headName');
     const classificationList = new ClassificationList();
-    const clasification = new Classification();
+    const classification = new Classification();
-    clasification.setIndex(2);
+    classification.setIndex(2);
-    clasification.setScore(0.3);
+    classification.setScore(0.3);
-    clasification.setDisplayName('displayName');
+    classification.setDisplayName('displayName');
-    clasification.setLabel('categoryName');
+    classification.setLabel('categoryName');
-    classificationList.addClassification(clasification);
+    classificationList.addClassification(classification);
     classifcations.setClassificationList(classificationList);
     classificationResult.addClassifications(classifcations);
 
@@ -62,8 +62,8 @@ describe('convertFromClassificationResultProto()', () => {
     const classificationResult = new ClassificationResult();
     const classifcations = new Classifications();
     const classificationList = new ClassificationList();
-    const clasification = new Classification();
+    const classification = new Classification();
-    classificationList.addClassification(clasification);
+    classificationList.addClassification(classification);
     classifcations.setClassificationList(classificationList);
     classificationResult.addClassifications(classifcations);