This will fix the multiple typos in the tasks files.

PiperOrigin-RevId: 534679277

mediapipe/model_maker/python/core/utils/loss_functions.py

@@ -187,7 +187,7 @@ class PerceptualLoss(tf.keras.Model, metaclass=abc.ABCMeta):
     """Instantiates perceptual loss.
 
     Args:
-      feature_weight: The weight coeffcients of multiple model extracted
+      feature_weight: The weight coefficients of multiple model extracted
         features used for calculating the perceptual loss.
       loss_weight: The weight coefficients between `style_loss` and
         `content_loss`.

mediapipe/model_maker/python/vision/face_stylizer/face_stylizer.py

@@ -105,7 +105,7 @@ class FaceStylizer(object):
     self._train_model(train_data=train_data, preprocessor=self._preprocessor)
 
   def _create_model(self):
-    """Creates the componenets of face stylizer."""
+    """Creates the components of face stylizer."""
     self._encoder = model_util.load_keras_model(
         constants.FACE_STYLIZER_ENCODER_MODEL_FILES.get_path()
     )
@@ -138,7 +138,7 @@ class FaceStylizer(object):
     """
     train_dataset = train_data.gen_tf_dataset(preprocess=preprocessor)
 
-    # TODO: Support processing mulitple input style images. The
+    # TODO: Support processing multiple input style images. The
     # input style images are expected to have similar style.
     # style_sample represents a tuple of (style_image, style_label).
     style_sample = next(iter(train_dataset))

mediapipe/tasks/ios/test/vision/image_classifier/MPPImageClassifierTests.m

@@ -668,10 +668,10 @@ static NSString *const kLiveStreamTestsDictExpectationKey = @"expectation";
 
   // Because of flow limiting, we cannot ensure that the callback will be
   // invoked `iterationCount` times.
-  // An normal expectation will fail if expectation.fullfill() is not called
+  // An normal expectation will fail if expectation.fulfill() is not called
   // `expectation.expectedFulfillmentCount` times.
   // If `expectation.isInverted = true`, the test will only succeed if
-  // expectation is not fullfilled for the specified `expectedFulfillmentCount`.
+  // expectation is not fulfilled for the specified `expectedFulfillmentCount`.
   // Since in our case we cannot predict how many times the expectation is
   // supposed to be fullfilled setting,
   // `expectation.expectedFulfillmentCount` = `iterationCount` + 1 and

mediapipe/tasks/ios/test/vision/object_detector/MPPObjectDetectorTests.m

@@ -673,15 +673,15 @@ static NSString *const kLiveStreamTestsDictExpectationKey = @"expectation";
 
   // Because of flow limiting, we cannot ensure that the callback will be
   // invoked `iterationCount` times.
-  // An normal expectation will fail if expectation.fullfill() is not called
+  // An normal expectation will fail if expectation.fulfill() is not called
   // `expectation.expectedFulfillmentCount` times.
   // If `expectation.isInverted = true`, the test will only succeed if
-  // expectation is not fullfilled for the specified `expectedFulfillmentCount`.
+  // expectation is not fulfilled for the specified `expectedFulfillmentCount`.
   // Since in our case we cannot predict how many times the expectation is
-  // supposed to be fullfilled setting,
+  // supposed to be fulfilled setting,
   // `expectation.expectedFulfillmentCount` = `iterationCount` + 1 and
   // `expectation.isInverted = true` ensures that test succeeds if
-  // expectation is fullfilled <= `iterationCount` times.
+  // expectation is fulfilled <= `iterationCount` times.
   XCTestExpectation *expectation = [[XCTestExpectation alloc]
       initWithDescription:@"detectWithOutOfOrderTimestampsAndLiveStream"];
   expectation.expectedFulfillmentCount = iterationCount + 1;

mediapipe/tasks/java/com/google/mediapipe/tasks/vision/core/BaseVisionTaskApi.java

@@ -166,7 +166,7 @@ public class BaseVisionTaskApi implements AutoCloseable {
     // 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/web/vision/face_stylizer/face_stylizer.ts

@@ -171,7 +171,7 @@ export class FaceStylizer extends VisionTaskRunner {
   /**
    * Performs face stylization on the provided single image and returns the
    * result. This method creates a copy of the resulting image and should not be
-   * used in high-throughput applictions. Only use this method when the
+   * used in high-throughput applications. Only use this method when the
    * FaceStylizer is created with the image running mode.
    *
    * @param image An image to process.
@@ -182,7 +182,7 @@ export class FaceStylizer extends VisionTaskRunner {
   /**
    * Performs face stylization on the provided single image and returns the
    * result. This method creates a copy of the resulting image and should not be
-   * used in high-throughput applictions. Only use this method when the
+   * used in high-throughput applications. Only use this method when the
    * FaceStylizer is created with the image running mode.
    *
    * The 'imageProcessingOptions' parameter can be used to specify one or all
@@ -275,7 +275,7 @@ export class FaceStylizer extends VisionTaskRunner {
   /**
    * Performs face stylization on the provided video frame. This method creates
    * a copy of the resulting image and should not be used in high-throughput
-   * applictions. Only use this method when the FaceStylizer is created with the
+   * applications. Only use this method when the FaceStylizer is created with the
    * video running mode.
    *
    * The input frame can be of any size. It's required to provide the video

mediapipe/tasks/web/vision/image_segmenter/image_segmenter.ts

@@ -231,7 +231,7 @@ export class ImageSegmenter extends VisionTaskRunner {
   /**
    * Performs image segmentation on the provided single image and returns the
    * segmentation result. This method creates a copy of the resulting masks and
-   * should not be used in high-throughput applictions. Only use this method
+   * should not be used in high-throughput applications. Only use this method
    * when the ImageSegmenter is created with running mode `image`.
    *
    * @param image An image to process.
@@ -242,7 +242,7 @@ export class ImageSegmenter extends VisionTaskRunner {
   /**
    * Performs image segmentation on the provided single image and returns the
    * segmentation result. This method creates a copy of the resulting masks and
-   * should not be used in high-v applictions. Only use this method when
+   * should not be used in high-v applications. Only use this method when
    * the ImageSegmenter is created with running mode `image`.
    *
    * @param image An image to process.
@@ -320,7 +320,7 @@ export class ImageSegmenter extends VisionTaskRunner {
   /**
    * Performs image segmentation on the provided video frame and returns the
    * segmentation result. This method creates a copy of the resulting masks and
-   * should not be used in high-v applictions. Only use this method when
+   * should not be used in high-v applications. Only use this method when
    * the ImageSegmenter is created with running mode `video`.
    *
    * @param videoFrame A video frame to process.