Fix docs and class filter

Author: benITo47

docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md

@@ -58,7 +58,7 @@ For more information on loading resources, take a look at [loading models](../..
 
 To run the model, use the [`forward`](../../06-api-reference/interfaces/InstanceSegmentationType.md#forward) method. It accepts two arguments:
 
-- `imageSource` (required) - The image to process. Can be a remote URL, a local file URI, or a base64-encoded image (whole URI or only raw base64).
+- `imageSource` (required) - The image to process. Can be a remote URL, a local file URI, a base64-encoded image (whole URI or only raw base64), or a [`PixelData`](../../06-api-reference/interfaces/PixelData.md) object (raw RGB pixel buffer).
 - `options` (optional) - An [`InstanceSegmentationOptions`](../../06-api-reference/interfaces/InstanceSegmentationOptions.md) object with the following fields:
   - `confidenceThreshold` - Minimum confidence score for including instances. Defaults to the model's configured threshold (typically `0.5`).
   - `iouThreshold` - IoU threshold for non-maximum suppression. Defaults to `0.5`.
@@ -112,6 +112,10 @@ function App() {
 }
 ```
 
+## VisionCamera integration
+
+See the full guide: [VisionCamera Integration](./visioncamera-integration.md).
+
 ## Supported models
 
 :::info

docs/docs/03-hooks/02-computer-vision/visioncamera-integration.md

@@ -20,6 +20,7 @@ The following hooks expose `runOnFrame`:
 - [`useOCR`](./useOCR.md)
 - [`useVerticalOCR`](./useVerticalOCR.md)
 - [`useObjectDetection`](./useObjectDetection.md)
+- [`useInstanceSegmentation`](./useInstanceSegmentation.md)
 - [`useSemanticSegmentation`](./useSemanticSegmentation.md)
 - [`useStyleTransfer`](./useStyleTransfer.md)
 

docs/docs/04-typescript-api/02-computer-vision/InstanceSegmentationModule.md

@@ -112,7 +112,7 @@ The model must produce **3 output tensors**:
 
 To run the model, use the [`forward`](../../06-api-reference/classes/InstanceSegmentationModule.md#forward) method. It accepts two arguments:
 
-- `imageSource` (required) - The image to process. Can be a remote URL, a local file URI, or a base64-encoded image (whole URI or only raw base64).
+- `imageSource` (required) - The image to process. Can be a remote URL, a local file URI, a base64-encoded image (whole URI or only raw base64), or a [`PixelData`](../../06-api-reference/interfaces/PixelData.md) object (raw RGB pixel buffer).
 - `options` (optional) - An [`InstanceSegmentationOptions`](../../06-api-reference/interfaces/InstanceSegmentationOptions.md) object for configuring the segmentation (confidence threshold, IoU threshold, input size, classes of interest, etc.).
 
 The method returns a promise resolving to an array of [`SegmentedInstance`](../../06-api-reference/interfaces/SegmentedInstance.md) objects. Each object contains bounding box coordinates, a binary segmentation mask, a string `label` (resolved from the model's label enum), and the confidence score.

packages/react-native-executorch/common/rnexecutorch/tests/integration/BaseModelTest.cpp

@@ -19,6 +19,9 @@ constexpr auto kValidStyleTransferModelPath =
 // Common tests via typed test suite
 // ============================================================================
 namespace model_tests {
+
+GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(CommonModelTest);
+
 template <> struct ModelTraits<BaseModel> {
   using ModelType = BaseModel;
 

packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts

@@ -295,6 +295,13 @@ export class InstanceSegmentationModule<
     this.classIndexToLabel.forEach((label, index) => {
       labelLookup[index] = label;
     });
+    // Create reverse map (label → enum value) for classesOfInterest lookup
+    const labelMap: Record<string, number> = {};
+    for (const [name, value] of Object.entries(this.labelMap)) {
+      if (typeof value === 'number') {
+        labelMap[name] = value;
+      }
+    }
     const labelEnumOffset = this.labelEnumOffset;
     const defaultConfidenceThreshold =
       this.modelConfig.defaultConfidenceThreshold ?? 0.5;
@@ -320,7 +327,7 @@ export class InstanceSegmentationModule<
       const classIndices = options?.classesOfInterest
         ? options.classesOfInterest.map((label) => {
             const labelStr = String(label);
-            const enumValue = (labelLookup as any)[labelStr];
+            const enumValue = labelMap[labelStr];
             return typeof enumValue === 'number'
               ? enumValue - labelEnumOffset
               : -1;