Internal change

PiperOrigin-RevId: 522275233

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

@@ -79,7 +79,9 @@ public class BaseVisionTaskApi implements AutoCloseable {
     inputPackets.put(imageStreamName, runner.getPacketCreator().createImage(image));
     inputPackets.put(
         normRectStreamName,
-        runner.getPacketCreator().createProto(convertToNormalizedRect(imageProcessingOptions)));
+        runner
+            .getPacketCreator()
+            .createProto(convertToNormalizedRect(imageProcessingOptions, image)));
     return runner.process(inputPackets);
   }
 
@@ -105,7 +107,9 @@ public class BaseVisionTaskApi implements AutoCloseable {
     inputPackets.put(imageStreamName, runner.getPacketCreator().createImage(image));
     inputPackets.put(
         normRectStreamName,
-        runner.getPacketCreator().createProto(convertToNormalizedRect(imageProcessingOptions)));
+        runner
+            .getPacketCreator()
+            .createProto(convertToNormalizedRect(imageProcessingOptions, image)));
     return runner.process(inputPackets, timestampMs * MICROSECONDS_PER_MILLISECOND);
   }
 
@@ -131,7 +135,9 @@ public class BaseVisionTaskApi implements AutoCloseable {
     inputPackets.put(imageStreamName, runner.getPacketCreator().createImage(image));
     inputPackets.put(
         normRectStreamName,
-        runner.getPacketCreator().createProto(convertToNormalizedRect(imageProcessingOptions)));
+        runner
+            .getPacketCreator()
+            .createProto(convertToNormalizedRect(imageProcessingOptions, image)));
     runner.send(inputPackets, timestampMs * MICROSECONDS_PER_MILLISECOND);
   }
 
@@ -146,16 +152,30 @@ public class BaseVisionTaskApi implements AutoCloseable {
    * message.
    */
   protected static NormalizedRect convertToNormalizedRect(
-      ImageProcessingOptions imageProcessingOptions) {
+      ImageProcessingOptions imageProcessingOptions, MPImage image) {
     RectF regionOfInterest =
         imageProcessingOptions.regionOfInterest().isPresent()
             ? imageProcessingOptions.regionOfInterest().get()
             : new RectF(0, 0, 1, 1);
+    // 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.
+    // - then rotates this by denormalized rect by the provided rotation, and
+    //   uses this for cropping,
+    // - then finally rotates this back.
+    boolean requiresSwap = imageProcessingOptions.rotationDegrees() % 180 != 0;
     return NormalizedRect.newBuilder()
         .setXCenter(regionOfInterest.centerX())
         .setYCenter(regionOfInterest.centerY())
-        .setWidth(regionOfInterest.width())
+        .setWidth(
-        .setHeight(regionOfInterest.height())
+            requiresSwap
+                ? regionOfInterest.height() * image.getHeight() / image.getWidth()
+                : regionOfInterest.width())
+        .setHeight(
+            requiresSwap
+                ? regionOfInterest.width() * image.getWidth() / image.getHeight()
+                : regionOfInterest.height())
         // Convert to radians anti-clockwise.
         .setRotation(-(float) Math.PI * imageProcessingOptions.rotationDegrees() / 180.0f)
         .build();

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

@@ -550,7 +550,9 @@ public final class InteractiveSegmenter extends BaseVisionTaskApi {
     inputPackets.put(ROI_IN_STREAM_NAME, runner.getPacketCreator().createProto(renderData));
     inputPackets.put(
         NORM_RECT_IN_STREAM_NAME,
-        runner.getPacketCreator().createProto(convertToNormalizedRect(imageProcessingOptions)));
+        runner
+            .getPacketCreator()
+            .createProto(convertToNormalizedRect(imageProcessingOptions, image)));
     return (ImageSegmenterResult) runner.process(inputPackets);
   }
 }

mediapipe/tasks/javatests/com/google/mediapipe/tasks/vision/imageclassifier/ImageClassifierTest.java

@@ -265,9 +265,9 @@ public class ImageClassifierTest {
       assertCategoriesAre(
           results,
           Arrays.asList(
-              Category.create(0.6390683f, 934, "cheeseburger", ""),
+              Category.create(0.75369555f, 934, "cheeseburger", ""),
-              Category.create(0.0495407f, 963, "meat loaf", ""),
+              Category.create(0.029219573f, 925, "guacamole", ""),
-              Category.create(0.0469720f, 925, "guacamole", "")));
+              Category.create(0.028840661f, 932, "bagel", "")));
     }
 
     @Test
@@ -279,8 +279,8 @@ public class ImageClassifierTest {
               .build();
       ImageClassifier imageClassifier =
           ImageClassifier.createFromOptions(ApplicationProvider.getApplicationContext(), options);
-      // RectF around the chair.
+      // RectF around the soccer ball.
-      RectF roi = new RectF(0.0f, 0.1763f, 0.5642f, 0.3049f);
+      RectF roi = new RectF(0.2655f, 0.45f, 0.6925f, 0.614f);
       ImageProcessingOptions imageProcessingOptions =
           ImageProcessingOptions.builder().setRegionOfInterest(roi).setRotationDegrees(-90).build();
       ImageClassifierResult results =
@@ -289,7 +289,7 @@ public class ImageClassifierTest {
 
       assertHasOneHead(results);
       assertCategoriesAre(
-          results, Arrays.asList(Category.create(0.686824f, 560, "folding chair", "")));
+          results, Arrays.asList(Category.create(0.99730396f, 806, "soccer ball", "")));
     }
   }
 

mediapipe/tasks/javatests/com/google/mediapipe/tasks/vision/imageembedder/ImageEmbedderTest.java

@@ -188,7 +188,7 @@ public class ImageEmbedderTest {
           ImageEmbedder.cosineSimilarity(
               result.embeddingResult().embeddings().get(0),
               resultRotated.embeddingResult().embeddings().get(0));
-      assertThat(similarity).isWithin(DOUBLE_DIFF_TOLERANCE).of(0.571648426f);
+      assertThat(similarity).isWithin(DOUBLE_DIFF_TOLERANCE).of(0.982316669f);
     }
 
     @Test
@@ -212,7 +212,7 @@ public class ImageEmbedderTest {
           ImageEmbedder.cosineSimilarity(
               resultRoiRotated.embeddingResult().embeddings().get(0),
               resultCrop.embeddingResult().embeddings().get(0));
-      assertThat(similarity).isWithin(DOUBLE_DIFF_TOLERANCE).of(0.62780395f);
+      assertThat(similarity).isWithin(DOUBLE_DIFF_TOLERANCE).of(0.9745944861f);
     }
   }
 

mediapipe/tasks/javatests/com/google/mediapipe/tasks/vision/objectdetector/ObjectDetectorTest.java

@@ -236,7 +236,6 @@ public class ObjectDetectorTest {
           ObjectDetectorOptions.builder()
               .setBaseOptions(BaseOptions.builder().setModelAssetPath(MODEL_FILE).build())
               .setMaxResults(1)
-              .setCategoryAllowlist(Arrays.asList("cat"))
               .build();
       ObjectDetector objectDetector =
           ObjectDetector.createFromOptions(ApplicationProvider.getApplicationContext(), options);
@@ -246,7 +245,7 @@ public class ObjectDetectorTest {
           objectDetector.detect(
               getImageFromAsset(CAT_AND_DOG_ROTATED_IMAGE), imageProcessingOptions);
 
-      assertContainsOnlyCat(results, new RectF(22.0f, 611.0f, 452.0f, 890.0f), 0.7109375f);
+      assertContainsOnlyCat(results, new RectF(0.0f, 608.0f, 439.0f, 995.0f), 0.69921875f);
     }
 
     @Test