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CL will fix the typos in the tasks files

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PiperOrigin-RevId: 522240681
This commit is contained in:
MediaPipe Team
2023-04-05 21:42:19 -07:00
committed by Copybara-Service
parent d5def9e24d
commit 7ae4d0175a
12 changed files with 30 additions and 30 deletions
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mediapipe/tasks/cc/metadata/tests/metadata_version_test.cc
+4 -4
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@@ -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
// vocabulary file type.
// SubGraphMetadata.input_tensor_metadata.associated_fields, populated with
// 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
+1 -1
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@@ -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
+4 -4
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@@ -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
+2 -2
View File
@@ -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
+1 -1
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@@ -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
+4 -4
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@@ -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
+8 -8
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@@ -32,12 +32,12 @@ describe('convertFromClassificationResultProto()', () => {
classifcations.setHeadIndex(1);
classifcations.setHeadName('headName');
const classificationList = new ClassificationList();
const clasification = new Classification();
clasification.setIndex(2);
clasification.setScore(0.3);
clasification.setDisplayName('displayName');
clasification.setLabel('categoryName');
classificationList.addClassification(clasification);
const classification = new Classification();
classification.setIndex(2);
classification.setScore(0.3);
classification.setDisplayName('displayName');
classification.setLabel('categoryName');
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();
classificationList.addClassification(clasification);
const classification = new Classification();
classificationList.addClassification(classification);
classifcations.setClassificationList(classificationList);
classificationResult.addClassifications(classifcations);