refactor(models): drop redundant _seg suffix from instance_segmentation accessors

The instance_segmentation namespace already implies segmentation, so
the _seg suffix on yolo26* and rf_detr_nano was redundant and
inconsistent with pose_estimation.yolo26n (no _pose suffix). Drop the
suffix and update demo apps and docs accordingly.

Author: msluszniak

apps/computer-vision/app/instance_segmentation/index.tsx

@@ -26,24 +26,22 @@ const instanceSegmentation = models.instance_segmentation;
 const objectDetection = models.object_detection;
 
 const MODELS: ModelOption<InstanceSegmentationModelSources>[] = [
-  { label: 'Yolo26N', value: instanceSegmentation.yolo26n_seg() },
-  { label: 'Yolo26S', value: instanceSegmentation.yolo26s_seg() },
-  { label: 'Yolo26M', value: instanceSegmentation.yolo26m_seg() },
-  { label: 'Yolo26L', value: instanceSegmentation.yolo26l_seg() },
-  { label: 'Yolo26X', value: instanceSegmentation.yolo26x_seg() },
+  { label: 'Yolo26N', value: instanceSegmentation.yolo26n() },
+  { label: 'Yolo26S', value: instanceSegmentation.yolo26s() },
+  { label: 'Yolo26M', value: instanceSegmentation.yolo26m() },
+  { label: 'Yolo26L', value: instanceSegmentation.yolo26l() },
+  { label: 'Yolo26X', value: instanceSegmentation.yolo26x() },
   {
     label: 'RF-DeTR Nano',
-    value: instanceSegmentation.rf_detr_nano_seg(),
+    value: instanceSegmentation.rf_detr_nano(),
   },
   { label: 'FastSAM-S', value: objectDetection.fastsam_s() },
   { label: 'FastSAM-X', value: objectDetection.fastsam_x() },
 ];
 
 export default function InstanceSegmentationScreen() {
   const [selectedModel, setSelectedModel] =
-    useState<InstanceSegmentationModelSources>(
-      instanceSegmentation.yolo26n_seg()
-    );
+    useState<InstanceSegmentationModelSources>(instanceSegmentation.yolo26n());
   const [inferenceTime, setInferenceTime] = useState<number | null>(null);
 
   const { setGlobalGenerating } = useContext(GeneratingContext);

apps/computer-vision/components/vision_camera/tasks/InstanceSegmentationTask.tsx

@@ -41,11 +41,11 @@ export default function InstanceSegmentationTask({
   onErrorChange,
 }: Props) {
   const yolo26n = useInstanceSegmentation({
-    model: instanceSegmentation.yolo26n_seg(),
+    model: instanceSegmentation.yolo26n(),
     preventLoad: activeModel !== 'instanceSegmentationYolo26n',
   });
   const rfdetr = useInstanceSegmentation({
-    model: instanceSegmentation.rf_detr_nano_seg(),
+    model: instanceSegmentation.rf_detr_nano(),
     preventLoad: activeModel !== 'instanceSegmentationRfdetr',
   });
   const fastsamS = useInstanceSegmentation({

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

@@ -17,7 +17,7 @@ It is recommended to use models provided by us, which are available at our [Hugg
 ```typescript
 import { models, useInstanceSegmentation } from 'react-native-executorch';
 const model = useInstanceSegmentation({
-  model: models.instance_segmentation.yolo26n_seg(),
+  model: models.instance_segmentation.yolo26n(),
 });
 
 const imageUri = 'file:///Users/.../photo.jpg';
@@ -83,7 +83,7 @@ To run the model, use the [`forward`](../../06-api-reference/interfaces/Instance
 import { models, useInstanceSegmentation } from 'react-native-executorch';
 function App() {
   const model = useInstanceSegmentation({
-    model: models.instance_segmentation.yolo26n_seg(),
+    model: models.instance_segmentation.yolo26n(),
   });
 
   const handleSegment = async () => {

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

@@ -16,7 +16,7 @@ const imageUri = 'path/to/image.png';
 
 // Creating an instance from a built-in model
 const segmentation = await InstanceSegmentationModule.fromModelName(
-  models.instance_segmentation.yolo26n_seg()
+  models.instance_segmentation.yolo26n()
 );
 
 // Running the model
@@ -43,7 +43,7 @@ Use [`fromModelName`](../../06-api-reference/classes/InstanceSegmentationModule.
 ```typescript
 import { models, InstanceSegmentationModule } from 'react-native-executorch';
 const segmentation = await InstanceSegmentationModule.fromModelName(
-  models.instance_segmentation.yolo26n_seg()
+  models.instance_segmentation.yolo26n()
 );
 ```
 

docs/docs/05-utilities/model-registry.md

@@ -28,7 +28,7 @@ Each leaf is a **function**. Call it (optionally with `{ quant, backend }`) to g
 | `object_detection`      | `ssdlite_320_mobilenet_v3_large`, `yolo26n` … `yolo26x`, `rf_detr_nano`, `fastsam_s`, `fastsam_x`                                                                                                                                                                                           |
 | `pose_estimation`       | `yolo26n`                                                                                                                                                                                                                                                                                   |
 | `semantic_segmentation` | `deeplab_v3_resnet50`, `lraspp_mobilenet_v3_large`, `fcn_resnet101`, `selfie_segmentation`, …                                                                                                                                                                                               |
-| `instance_segmentation` | `yolo26n_seg` … `yolo26x_seg`, `rf_detr_nano_seg`                                                                                                                                                                                                                                           |
+| `instance_segmentation` | `yolo26n` … `yolo26x`, `rf_detr_nano`                                                                                                                                                                                                                                                       |
 | `style_transfer`        | `candy`, `mosaic`, `rain_princess`, `udnie`                                                                                                                                                                                                                                                 |
 | `speech_to_text`        | `whisper_tiny_en`, `whisper_base`, `whisper_small_en`, …                                                                                                                                                                                                                                    |
 | `text_to_speech`        | nested by model family + language: `kokoro.en_us.{heart, river, sarah, adam, …}`, `kokoro.en_gb.{emma, daniel}`, `kokoro.fr.siwis`, `kokoro.es.{dora, alex}`, `kokoro.it.{sara, nicola}`, `kokoro.pt.{dora, santa}`, `kokoro.hi.{alpha, omega, psi}`, `kokoro.pl.mateusz`, `kokoro.de.anna` |

packages/react-native-executorch/src/constants/modelRegistry.ts

@@ -534,12 +534,12 @@ export const models = {
     selfie_segmentation: base(M.SELFIE_SEGMENTATION),
   },
   instance_segmentation: {
-    yolo26n_seg: base(M.YOLO26N_SEG),
-    yolo26s_seg: base(M.YOLO26S_SEG),
-    yolo26m_seg: base(M.YOLO26M_SEG),
-    yolo26l_seg: base(M.YOLO26L_SEG),
-    yolo26x_seg: base(M.YOLO26X_SEG),
-    rf_detr_nano_seg: variant(RF_DETR_NANO_SEG_VARIANTS),
+    yolo26n: base(M.YOLO26N_SEG),
+    yolo26s: base(M.YOLO26S_SEG),
+    yolo26m: base(M.YOLO26M_SEG),
+    yolo26l: base(M.YOLO26L_SEG),
+    yolo26x: base(M.YOLO26X_SEG),
+    rf_detr_nano: variant(RF_DETR_NANO_SEG_VARIANTS),
   },
   style_transfer: {
     candy: variant(STYLE_TRANSFER_CANDY_VARIANTS),