Fixes multiple typos in the tasks internal files.
PiperOrigin-RevId: 568585517
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@ -59,12 +59,12 @@ using absl::StatusCode;
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return NULL;
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}
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void *allocedMemory = malloc(memSize);
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if (!allocedMemory) {
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void *allocatedMemory = malloc(memSize);
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if (!allocatedMemory) {
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exit(-1);
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}
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return allocedMemory;
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return allocatedMemory;
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}
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+ (BOOL)checkCppError:(const absl::Status &)status toError:(NSError *_Nullable *)error {
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@ -82,7 +82,7 @@ static NSString *const kExpectedErrorDomain = @"com.google.mediapipe.tasks";
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AssertEqualErrors(error, expectedError);
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}
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- (void)testInitWithImageSuceeds {
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- (void)testInitWithImageSucceeds {
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MPPImage *mppImage = [[MPPImage alloc] initWithUIImage:self.image error:nil];
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[self assertMPPImage:mppImage
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hasSourceType:MPPImageSourceTypeImage
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@ -739,7 +739,7 @@ public final class ImageSegmenter extends BaseVisionTaskApi {
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@AutoValue
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public abstract static class SegmentationOptions {
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/** Builder fo {@link SegmentationOptions} */
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/** Builder for {@link SegmentationOptions} */
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@AutoValue.Builder
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public abstract static class Builder {
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@ -289,7 +289,7 @@ public class GestureRecognizerTest {
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}
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@Test
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public void recognize_successWithPreferAlowListThanDenyList() throws Exception {
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public void recognize_successWithPreferAllowListThanDenyList() throws Exception {
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GestureRecognizerOptions options =
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GestureRecognizerOptions.builder()
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.setBaseOptions(
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@ -140,7 +140,7 @@ export class AudioClassifier extends AudioTaskRunner<AudioClassifierResult[]> {
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* @param sampleRate The sample rate in Hz of the provided audio data. If not
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* set, defaults to the sample rate set via `setDefaultSampleRate()` or
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* `48000` if no custom default was set.
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* @return The classification result of the audio datas
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* @return The classification result of the audio data
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*/
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classify(audioData: Float32Array, sampleRate?: number):
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AudioClassifierResult[] {
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@ -342,7 +342,7 @@ export class GestureRecognizer extends VisionTaskRunner {
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* Converts raw data into a landmark, and adds it to our worldLandmarks
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* list.
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*/
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private adddJsWorldLandmarks(data: Uint8Array[]): void {
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private addJsWorldLandmarks(data: Uint8Array[]): void {
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for (const binaryProto of data) {
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const handWorldLandmarksProto =
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LandmarkList.deserializeBinary(binaryProto);
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@ -396,7 +396,7 @@ export class GestureRecognizer extends VisionTaskRunner {
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this.graphRunner.attachProtoVectorListener(
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WORLD_LANDMARKS_STREAM, (binaryProto, timestamp) => {
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this.adddJsWorldLandmarks(binaryProto);
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this.addJsWorldLandmarks(binaryProto);
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this.setLatestOutputTimestamp(timestamp);
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});
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this.graphRunner.attachEmptyPacketListener(
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@ -277,7 +277,7 @@ export class HandLandmarker extends VisionTaskRunner {
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* Converts raw data into a world landmark, and adds it to our worldLandmarks
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* list.
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*/
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private adddJsWorldLandmarks(data: Uint8Array[]): void {
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private addJsWorldLandmarks(data: Uint8Array[]): void {
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for (const binaryProto of data) {
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const handWorldLandmarksProto =
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LandmarkList.deserializeBinary(binaryProto);
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@ -322,7 +322,7 @@ export class HandLandmarker extends VisionTaskRunner {
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this.graphRunner.attachProtoVectorListener(
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WORLD_LANDMARKS_STREAM, (binaryProto, timestamp) => {
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this.adddJsWorldLandmarks(binaryProto);
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this.addJsWorldLandmarks(binaryProto);
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this.setLatestOutputTimestamp(timestamp);
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});
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this.graphRunner.attachEmptyPacketListener(
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@ -403,7 +403,7 @@ export class PoseLandmarker extends VisionTaskRunner {
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* Converts raw data into a world landmark, and adds it to our
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* worldLandmarks list.
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*/
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private adddJsWorldLandmarks(data: Uint8Array[]): void {
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private addJsWorldLandmarks(data: Uint8Array[]): void {
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this.worldLandmarks = [];
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for (const binaryProto of data) {
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const poseWorldLandmarksProto =
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@ -452,7 +452,7 @@ export class PoseLandmarker extends VisionTaskRunner {
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this.graphRunner.attachProtoVectorListener(
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WORLD_LANDMARKS_STREAM, (binaryProto, timestamp) => {
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this.adddJsWorldLandmarks(binaryProto);
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this.addJsWorldLandmarks(binaryProto);
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this.setLatestOutputTimestamp(timestamp);
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});
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this.graphRunner.attachEmptyPacketListener(
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