diff --git a/.cspell-wordlist.txt b/.cspell-wordlist.txt index 1f30267fd..e06bde775 100644 --- a/.cspell-wordlist.txt +++ b/.cspell-wordlist.txt @@ -118,3 +118,7 @@ basemodule IMAGENET lraspp LRASPP +worklet +worklets +BGRA +RGBA diff --git a/apps/computer-vision/app.json b/apps/computer-vision/app.json index 4d68c039b..4fcbca2ce 100644 --- a/apps/computer-vision/app.json +++ b/apps/computer-vision/app.json @@ -25,11 +25,23 @@ "foregroundImage": "./assets/icons/adaptive-icon.png", "backgroundColor": "#ffffff" }, - "package": "com.anonymous.computervision" + "package": "com.anonymous.computervision", + "permissions": ["android.permission.CAMERA"] }, "web": { "favicon": "./assets/icons/favicon.png" }, - "plugins": ["expo-font", "expo-router"] + "plugins": [ + "expo-font", + "expo-router", + [ + "expo-build-properties", + { + "android": { + "minSdkVersion": 26 + } + } + ] + ] } } diff --git a/apps/computer-vision/app/_layout.tsx b/apps/computer-vision/app/_layout.tsx index 8b66a796c..4ce2f3e5c 100644 --- a/apps/computer-vision/app/_layout.tsx +++ b/apps/computer-vision/app/_layout.tsx @@ -83,6 +83,14 @@ export default function _layout() { headerTitleStyle: { color: ColorPalette.primary }, }} /> + Object Detection + router.navigate('object_detection_live/')} + > + Object Detection Live + router.navigate('ocr/')} diff --git a/apps/computer-vision/app/object_detection_live/index.tsx b/apps/computer-vision/app/object_detection_live/index.tsx new file mode 100644 index 000000000..3db2c5360 --- /dev/null +++ b/apps/computer-vision/app/object_detection_live/index.tsx @@ -0,0 +1,222 @@ +import React, { + useCallback, + useContext, + useEffect, + useMemo, + useRef, + useState, +} from 'react'; +import { + StatusBar, + StyleSheet, + Text, + TouchableOpacity, + View, +} from 'react-native'; +import { useSafeAreaInsets } from 'react-native-safe-area-context'; + +import { + Camera, + getCameraFormat, + Templates, + useCameraDevices, + useCameraPermission, + useFrameOutput, +} from 'react-native-vision-camera'; +import { scheduleOnRN } from 'react-native-worklets'; +import { + Detection, + SSDLITE_320_MOBILENET_V3_LARGE, + useObjectDetection, +} from 'react-native-executorch'; +import { GeneratingContext } from '../../context'; +import Spinner from '../../components/Spinner'; +import ColorPalette from '../../colors'; + +export default function ObjectDetectionLiveScreen() { + const insets = useSafeAreaInsets(); + + const model = useObjectDetection({ model: SSDLITE_320_MOBILENET_V3_LARGE }); + const { setGlobalGenerating } = useContext(GeneratingContext); + + useEffect(() => { + setGlobalGenerating(model.isGenerating); + }, [model.isGenerating, setGlobalGenerating]); + const [detectionCount, setDetectionCount] = useState(0); + const [fps, setFps] = useState(0); + const lastFrameTimeRef = useRef(Date.now()); + + const cameraPermission = useCameraPermission(); + const devices = useCameraDevices(); + const device = devices.find((d) => d.position === 'back') ?? devices[0]; + + const format = useMemo(() => { + if (device == null) return undefined; + try { + return getCameraFormat(device, Templates.FrameProcessing); + } catch { + return undefined; + } + }, [device]); + + const updateStats = useCallback((results: Detection[]) => { + setDetectionCount(results.length); + const now = Date.now(); + const timeDiff = now - lastFrameTimeRef.current; + if (timeDiff > 0) { + setFps(Math.round(1000 / timeDiff)); + } + lastFrameTimeRef.current = now; + }, []); + + const frameOutput = useFrameOutput({ + pixelFormat: 'rgb', + dropFramesWhileBusy: true, + onFrame(frame) { + 'worklet'; + if (!model.runOnFrame) { + frame.dispose(); + return; + } + try { + const result = model.runOnFrame(frame, 0.5); + if (result) { + scheduleOnRN(updateStats, result); + } + } catch { + // ignore frame errors + } finally { + frame.dispose(); + } + }, + }); + + if (!model.isReady) { + return ( + + ); + } + + if (!cameraPermission.hasPermission) { + return ( + + Camera access needed + cameraPermission.requestPermission()} + style={styles.button} + > + Grant Permission + + + ); + } + + if (device == null) { + return ( + + No camera device found + + ); + } + + return ( + + + + + + + + + {detectionCount} + objects + + + + {fps} + fps + + + + + ); +} + +const styles = StyleSheet.create({ + container: { + flex: 1, + backgroundColor: 'black', + }, + centered: { + flex: 1, + backgroundColor: 'black', + justifyContent: 'center', + alignItems: 'center', + gap: 16, + }, + message: { + color: 'white', + fontSize: 18, + }, + button: { + paddingHorizontal: 24, + paddingVertical: 12, + backgroundColor: ColorPalette.primary, + borderRadius: 24, + }, + buttonText: { + color: 'white', + fontSize: 15, + fontWeight: '600', + letterSpacing: 0.3, + }, + bottomBarWrapper: { + position: 'absolute', + bottom: 0, + left: 0, + right: 0, + alignItems: 'center', + }, + bottomBar: { + flexDirection: 'row', + alignItems: 'center', + backgroundColor: 'rgba(0, 0, 0, 0.55)', + borderRadius: 24, + paddingHorizontal: 28, + paddingVertical: 10, + gap: 24, + }, + statItem: { + alignItems: 'center', + }, + statValue: { + color: 'white', + fontSize: 22, + fontWeight: '700', + letterSpacing: -0.5, + }, + statLabel: { + color: 'rgba(255,255,255,0.55)', + fontSize: 11, + fontWeight: '500', + textTransform: 'uppercase', + letterSpacing: 0.8, + }, + statDivider: { + width: 1, + height: 32, + backgroundColor: 'rgba(255,255,255,0.2)', + }, +}); diff --git a/apps/computer-vision/metro.config.js b/apps/computer-vision/metro.config.js index 2fd4ca0dd..f8ab2ab96 100644 --- a/apps/computer-vision/metro.config.js +++ b/apps/computer-vision/metro.config.js @@ -1,16 +1,11 @@ // Learn more https://docs.expo.io/guides/customizing-metro const { getDefaultConfig } = require('expo/metro-config'); -const path = require('path'); - -const monorepoRoot = path.resolve(__dirname, '../..'); /** @type {import('expo/metro-config').MetroConfig} */ const config = getDefaultConfig(__dirname); const { transformer, resolver } = config; -config.watchFolders = [monorepoRoot]; - config.transformer = { ...transformer, babelTransformerPath: require.resolve('react-native-svg-transformer/expo'), @@ -19,23 +14,6 @@ config.resolver = { ...resolver, assetExts: resolver.assetExts.filter((ext) => ext !== 'svg'), sourceExts: [...resolver.sourceExts, 'svg'], - nodeModulesPaths: [ - path.resolve(__dirname, 'node_modules'), - path.resolve(monorepoRoot, 'node_modules'), - ], - // Always resolve react and react-native from the monorepo root so that - // workspace packages with their own nested node_modules (e.g. - // packages/react-native-executorch/node_modules/react) don't create a - // second React instance and trigger "Invalid hook call". - resolveRequest: (context, moduleName, platform) => { - if (moduleName === 'react' || moduleName === 'react-native') { - return { - filePath: require.resolve(moduleName, { paths: [monorepoRoot] }), - type: 'sourceFile', - }; - } - return context.resolveRequest(context, moduleName, platform); - }, }; config.resolver.assetExts.push('pte'); diff --git a/apps/computer-vision/package.json b/apps/computer-vision/package.json index ec5894498..d7128125d 100644 --- a/apps/computer-vision/package.json +++ b/apps/computer-vision/package.json @@ -17,6 +17,7 @@ "@react-navigation/native": "^7.1.28", "@shopify/react-native-skia": "2.4.21", "expo": "^54.0.27", + "expo-build-properties": "~1.0.10", "expo-constants": "~18.0.11", "expo-font": "~14.0.10", "expo-linking": "~8.0.10", @@ -30,17 +31,20 @@ "react-native-gesture-handler": "~2.28.0", "react-native-image-picker": "^7.2.2", "react-native-loading-spinner-overlay": "^3.0.1", + "react-native-nitro-image": "^0.12.0", + "react-native-nitro-modules": "^0.33.9", "react-native-reanimated": "~4.2.2", "react-native-safe-area-context": "~5.6.0", "react-native-screens": "~4.16.0", "react-native-svg": "15.15.3", "react-native-svg-transformer": "^1.5.3", + "react-native-vision-camera": "5.0.0-beta.2", "react-native-worklets": "0.7.4" }, "devDependencies": { "@babel/core": "^7.29.0", "@types/pngjs": "^6.0.5", - "@types/react": "~19.1.10" + "@types/react": "~19.2.0" }, "private": true } diff --git a/apps/llm/metro.config.js b/apps/llm/metro.config.js index 90a4ad99b..fa6ef6d8b 100644 --- a/apps/llm/metro.config.js +++ b/apps/llm/metro.config.js @@ -2,15 +2,11 @@ const { getDefaultConfig } = require('expo/metro-config'); const { wrapWithAudioAPIMetroConfig, } = require('react-native-audio-api/metro-config'); -const path = require('path'); -const monorepoRoot = path.resolve(__dirname, '../..'); const config = getDefaultConfig(__dirname); const { transformer, resolver } = config; -config.watchFolders = [monorepoRoot]; - config.transformer = { ...transformer, babelTransformerPath: require.resolve('react-native-svg-transformer/expo'), @@ -19,23 +15,6 @@ config.resolver = { ...resolver, assetExts: resolver.assetExts.filter((ext) => ext !== 'svg'), sourceExts: [...resolver.sourceExts, 'svg'], - nodeModulesPaths: [ - path.resolve(__dirname, 'node_modules'), - path.resolve(monorepoRoot, 'node_modules'), - ], - // Always resolve react and react-native from the monorepo root so that - // workspace packages with their own nested node_modules (e.g. - // packages/react-native-executorch/node_modules/react) don't create a - // second React instance and trigger "Invalid hook call". - resolveRequest: (context, moduleName, platform) => { - if (moduleName === 'react' || moduleName === 'react-native') { - return { - filePath: require.resolve(moduleName, { paths: [monorepoRoot] }), - type: 'sourceFile', - }; - } - return context.resolveRequest(context, moduleName, platform); - }, }; config.resolver.assetExts.push('pte'); diff --git a/apps/speech/metro.config.js b/apps/speech/metro.config.js index 90a4ad99b..fa6ef6d8b 100644 --- a/apps/speech/metro.config.js +++ b/apps/speech/metro.config.js @@ -2,15 +2,11 @@ const { getDefaultConfig } = require('expo/metro-config'); const { wrapWithAudioAPIMetroConfig, } = require('react-native-audio-api/metro-config'); -const path = require('path'); -const monorepoRoot = path.resolve(__dirname, '../..'); const config = getDefaultConfig(__dirname); const { transformer, resolver } = config; -config.watchFolders = [monorepoRoot]; - config.transformer = { ...transformer, babelTransformerPath: require.resolve('react-native-svg-transformer/expo'), @@ -19,23 +15,6 @@ config.resolver = { ...resolver, assetExts: resolver.assetExts.filter((ext) => ext !== 'svg'), sourceExts: [...resolver.sourceExts, 'svg'], - nodeModulesPaths: [ - path.resolve(__dirname, 'node_modules'), - path.resolve(monorepoRoot, 'node_modules'), - ], - // Always resolve react and react-native from the monorepo root so that - // workspace packages with their own nested node_modules (e.g. - // packages/react-native-executorch/node_modules/react) don't create a - // second React instance and trigger "Invalid hook call". - resolveRequest: (context, moduleName, platform) => { - if (moduleName === 'react' || moduleName === 'react-native') { - return { - filePath: require.resolve(moduleName, { paths: [monorepoRoot] }), - type: 'sourceFile', - }; - } - return context.resolveRequest(context, moduleName, platform); - }, }; config.resolver.assetExts.push('pte'); diff --git a/apps/text-embeddings/metro.config.js b/apps/text-embeddings/metro.config.js index 2fd4ca0dd..f8ab2ab96 100644 --- a/apps/text-embeddings/metro.config.js +++ b/apps/text-embeddings/metro.config.js @@ -1,16 +1,11 @@ // Learn more https://docs.expo.io/guides/customizing-metro const { getDefaultConfig } = require('expo/metro-config'); -const path = require('path'); - -const monorepoRoot = path.resolve(__dirname, '../..'); /** @type {import('expo/metro-config').MetroConfig} */ const config = getDefaultConfig(__dirname); const { transformer, resolver } = config; -config.watchFolders = [monorepoRoot]; - config.transformer = { ...transformer, babelTransformerPath: require.resolve('react-native-svg-transformer/expo'), @@ -19,23 +14,6 @@ config.resolver = { ...resolver, assetExts: resolver.assetExts.filter((ext) => ext !== 'svg'), sourceExts: [...resolver.sourceExts, 'svg'], - nodeModulesPaths: [ - path.resolve(__dirname, 'node_modules'), - path.resolve(monorepoRoot, 'node_modules'), - ], - // Always resolve react and react-native from the monorepo root so that - // workspace packages with their own nested node_modules (e.g. - // packages/react-native-executorch/node_modules/react) don't create a - // second React instance and trigger "Invalid hook call". - resolveRequest: (context, moduleName, platform) => { - if (moduleName === 'react' || moduleName === 'react-native') { - return { - filePath: require.resolve(moduleName, { paths: [monorepoRoot] }), - type: 'sourceFile', - }; - } - return context.resolveRequest(context, moduleName, platform); - }, }; config.resolver.assetExts.push('pte'); diff --git a/docs/docs/05-utilities/04-error-handling.md b/docs/docs/05-utilities/04-error-handling.md index 7ca9478f7..4b3f0674a 100644 --- a/docs/docs/05-utilities/04-error-handling.md +++ b/docs/docs/05-utilities/04-error-handling.md @@ -83,14 +83,15 @@ These errors occur when trying to perform operations on a model in an invalid st These errors occur when invalid configuration or input is provided. -| Error Code | Description | When It Occurs | How to Handle | -| ---------------------- | ------------------------------------ | ------------------------------------------------------------------------- | ---------------------------------------------------- | -| `InvalidConfig` | Configuration parameters are invalid | Setting parameters outside valid ranges (e.g., `topp` outside [0, 1]) | Check parameter constraints and provide valid values | -| `InvalidUserInput` | Input provided to API is invalid | Passing empty arrays, null values, or malformed data to methods | Validate input before calling methods | -| `InvalidModelSource` | Model source type is invalid | Providing wrong type for model source (e.g., object when string expected) | Ensure model source matches expected type | -| `LanguageNotSupported` | Language not supported by model | Passing unsupported language to multilingual OCR or Speech-to-Text models | Use a supported language or different model | -| `WrongDimensions` | Input tensor dimensions don't match | Providing input with incorrect shape for the model | Check model's expected input dimensions | -| `UnexpectedNumInputs` | Wrong number of inputs provided | Passing more or fewer inputs than model expects | Match the number of inputs to model metadata | +| Error Code | Description | When It Occurs | How to Handle | +| ---------------------- | ------------------------------------ | --------------------------------------------------------------------------------------- | -------------------------------------------------------- | +| `InvalidConfig` | Configuration parameters are invalid | Setting parameters outside valid ranges (e.g., `topp` outside [0, 1]) | Check parameter constraints and provide valid values | +| `InvalidUserInput` | Input provided to API is invalid | Passing empty arrays, null values, or malformed data to methods | Validate input before calling methods | +| `InvalidModelSource` | Model source type is invalid | Providing wrong type for model source (e.g., object when string expected) | Ensure model source matches expected type | +| `LanguageNotSupported` | Language not supported by model | Passing unsupported language to multilingual OCR or Speech-to-Text models | Use a supported language or different model | +| `PlatformNotSupported` | Current platform is not supported | Using features (e.g., camera frame processing) on an unsupported platform or OS version | Ensure you're running on a supported platform/OS version | +| `WrongDimensions` | Input tensor dimensions don't match | Providing input with incorrect shape for the model | Check model's expected input dimensions | +| `UnexpectedNumInputs` | Wrong number of inputs provided | Passing more or fewer inputs than model expects | Match the number of inputs to model metadata | ### File Operations Errors diff --git a/docs/docs/06-api-reference/classes/ClassificationModule.md b/docs/docs/06-api-reference/classes/ClassificationModule.md index dadebddcd..f3cb19464 100644 --- a/docs/docs/06-api-reference/classes/ClassificationModule.md +++ b/docs/docs/06-api-reference/classes/ClassificationModule.md @@ -24,13 +24,87 @@ Module for image classification tasks. ## Properties +### generateFromFrame() + +> **generateFromFrame**: (`frameData`, ...`args`) => `any` + +Defined in: [modules/BaseModule.ts:56](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L56) + +Process a camera frame directly for real-time inference. + +This method is bound to a native JSI function after calling `load()`, +making it worklet-compatible and safe to call from VisionCamera's +frame processor thread. + +**Performance characteristics:** + +- **Zero-copy path**: When using `frame.getNativeBuffer()` from VisionCamera v5, + frame data is accessed directly without copying (fastest, recommended). +- **Copy path**: When using `frame.toArrayBuffer()`, pixel data is copied + from native to JS, then accessed from native code (slower, fallback). + +**Usage with VisionCamera:** + +```typescript +const frameOutput = useFrameOutput({ + pixelFormat: 'rgb', + onFrame(frame) { + 'worklet'; + // Zero-copy approach (recommended) + const nativeBuffer = frame.getNativeBuffer(); + const result = model.generateFromFrame( + { + nativeBuffer: nativeBuffer.pointer, + width: frame.width, + height: frame.height, + }, + ...args + ); + nativeBuffer.release(); + frame.dispose(); + }, +}); +``` + +#### Parameters + +##### frameData + +[`Frame`](../interfaces/Frame.md) + +Frame data object with either nativeBuffer (zero-copy) or data (ArrayBuffer) + +##### args + +...`any`[] + +Additional model-specific arguments (e.g., threshold, options) + +#### Returns + +`any` + +Model-specific output (e.g., detections, classifications, embeddings) + +#### See + +[Frame](../interfaces/Frame.md) for frame data format details + +#### Inherited from + +`BaseModule.generateFromFrame` + +--- + ### nativeModule > **nativeModule**: `any` = `null` -Defined in: [modules/BaseModule.ts:8](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L8) +Defined in: [modules/BaseModule.ts:17](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L17) + +**`Internal`** -Native module instance +Native module instance (JSI Host Object) #### Inherited from @@ -42,9 +116,11 @@ Native module instance > **delete**(): `void` -Defined in: [modules/BaseModule.ts:41](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L41) +Defined in: [modules/BaseModule.ts:100](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L100) -Unloads the model from memory. +Unloads the model from memory and releases native resources. + +Always call this method when you're done with a model to prevent memory leaks. #### Returns @@ -84,7 +160,9 @@ The classification result. > `protected` **forwardET**(`inputTensor`): `Promise`\<[`TensorPtr`](../interfaces/TensorPtr.md)[]\> -Defined in: [modules/BaseModule.ts:23](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L23) +Defined in: [modules/BaseModule.ts:80](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L80) + +**`Internal`** Runs the model's forward method with the given input tensors. It returns the output tensors that mimic the structure of output from ExecuTorch. @@ -113,7 +191,7 @@ Array of output tensors. > **getInputShape**(`methodName`, `index`): `Promise`\<`number`[]\> -Defined in: [modules/BaseModule.ts:34](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L34) +Defined in: [modules/BaseModule.ts:91](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L91) Gets the input shape for a given method and index. diff --git a/docs/docs/06-api-reference/classes/ExecutorchModule.md b/docs/docs/06-api-reference/classes/ExecutorchModule.md index 8e45facf4..8592a13ff 100644 --- a/docs/docs/06-api-reference/classes/ExecutorchModule.md +++ b/docs/docs/06-api-reference/classes/ExecutorchModule.md @@ -24,13 +24,87 @@ General module for executing custom Executorch models. ## Properties +### generateFromFrame() + +> **generateFromFrame**: (`frameData`, ...`args`) => `any` + +Defined in: [modules/BaseModule.ts:56](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L56) + +Process a camera frame directly for real-time inference. + +This method is bound to a native JSI function after calling `load()`, +making it worklet-compatible and safe to call from VisionCamera's +frame processor thread. + +**Performance characteristics:** + +- **Zero-copy path**: When using `frame.getNativeBuffer()` from VisionCamera v5, + frame data is accessed directly without copying (fastest, recommended). +- **Copy path**: When using `frame.toArrayBuffer()`, pixel data is copied + from native to JS, then accessed from native code (slower, fallback). + +**Usage with VisionCamera:** + +```typescript +const frameOutput = useFrameOutput({ + pixelFormat: 'rgb', + onFrame(frame) { + 'worklet'; + // Zero-copy approach (recommended) + const nativeBuffer = frame.getNativeBuffer(); + const result = model.generateFromFrame( + { + nativeBuffer: nativeBuffer.pointer, + width: frame.width, + height: frame.height, + }, + ...args + ); + nativeBuffer.release(); + frame.dispose(); + }, +}); +``` + +#### Parameters + +##### frameData + +[`Frame`](../interfaces/Frame.md) + +Frame data object with either nativeBuffer (zero-copy) or data (ArrayBuffer) + +##### args + +...`any`[] + +Additional model-specific arguments (e.g., threshold, options) + +#### Returns + +`any` + +Model-specific output (e.g., detections, classifications, embeddings) + +#### See + +[Frame](../interfaces/Frame.md) for frame data format details + +#### Inherited from + +`BaseModule.generateFromFrame` + +--- + ### nativeModule > **nativeModule**: `any` = `null` -Defined in: [modules/BaseModule.ts:8](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L8) +Defined in: [modules/BaseModule.ts:17](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L17) + +**`Internal`** -Native module instance +Native module instance (JSI Host Object) #### Inherited from @@ -42,9 +116,11 @@ Native module instance > **delete**(): `void` -Defined in: [modules/BaseModule.ts:41](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L41) +Defined in: [modules/BaseModule.ts:100](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L100) -Unloads the model from memory. +Unloads the model from memory and releases native resources. + +Always call this method when you're done with a model to prevent memory leaks. #### Returns @@ -85,7 +161,9 @@ An array of output tensor pointers. > `protected` **forwardET**(`inputTensor`): `Promise`\<[`TensorPtr`](../interfaces/TensorPtr.md)[]\> -Defined in: [modules/BaseModule.ts:23](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L23) +Defined in: [modules/BaseModule.ts:80](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L80) + +**`Internal`** Runs the model's forward method with the given input tensors. It returns the output tensors that mimic the structure of output from ExecuTorch. @@ -114,7 +192,7 @@ Array of output tensors. > **getInputShape**(`methodName`, `index`): `Promise`\<`number`[]\> -Defined in: [modules/BaseModule.ts:34](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L34) +Defined in: [modules/BaseModule.ts:91](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L91) Gets the input shape for a given method and index. diff --git a/docs/docs/06-api-reference/classes/ImageEmbeddingsModule.md b/docs/docs/06-api-reference/classes/ImageEmbeddingsModule.md index f7787cd87..9ae05fc40 100644 --- a/docs/docs/06-api-reference/classes/ImageEmbeddingsModule.md +++ b/docs/docs/06-api-reference/classes/ImageEmbeddingsModule.md @@ -24,13 +24,87 @@ Module for generating image embeddings from input images. ## Properties +### generateFromFrame() + +> **generateFromFrame**: (`frameData`, ...`args`) => `any` + +Defined in: [modules/BaseModule.ts:56](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L56) + +Process a camera frame directly for real-time inference. + +This method is bound to a native JSI function after calling `load()`, +making it worklet-compatible and safe to call from VisionCamera's +frame processor thread. + +**Performance characteristics:** + +- **Zero-copy path**: When using `frame.getNativeBuffer()` from VisionCamera v5, + frame data is accessed directly without copying (fastest, recommended). +- **Copy path**: When using `frame.toArrayBuffer()`, pixel data is copied + from native to JS, then accessed from native code (slower, fallback). + +**Usage with VisionCamera:** + +```typescript +const frameOutput = useFrameOutput({ + pixelFormat: 'rgb', + onFrame(frame) { + 'worklet'; + // Zero-copy approach (recommended) + const nativeBuffer = frame.getNativeBuffer(); + const result = model.generateFromFrame( + { + nativeBuffer: nativeBuffer.pointer, + width: frame.width, + height: frame.height, + }, + ...args + ); + nativeBuffer.release(); + frame.dispose(); + }, +}); +``` + +#### Parameters + +##### frameData + +[`Frame`](../interfaces/Frame.md) + +Frame data object with either nativeBuffer (zero-copy) or data (ArrayBuffer) + +##### args + +...`any`[] + +Additional model-specific arguments (e.g., threshold, options) + +#### Returns + +`any` + +Model-specific output (e.g., detections, classifications, embeddings) + +#### See + +[Frame](../interfaces/Frame.md) for frame data format details + +#### Inherited from + +`BaseModule.generateFromFrame` + +--- + ### nativeModule > **nativeModule**: `any` = `null` -Defined in: [modules/BaseModule.ts:8](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L8) +Defined in: [modules/BaseModule.ts:17](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L17) + +**`Internal`** -Native module instance +Native module instance (JSI Host Object) #### Inherited from @@ -42,9 +116,11 @@ Native module instance > **delete**(): `void` -Defined in: [modules/BaseModule.ts:41](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L41) +Defined in: [modules/BaseModule.ts:100](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L100) -Unloads the model from memory. +Unloads the model from memory and releases native resources. + +Always call this method when you're done with a model to prevent memory leaks. #### Returns @@ -84,7 +160,9 @@ A Float32Array containing the image embeddings. > `protected` **forwardET**(`inputTensor`): `Promise`\<[`TensorPtr`](../interfaces/TensorPtr.md)[]\> -Defined in: [modules/BaseModule.ts:23](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L23) +Defined in: [modules/BaseModule.ts:80](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L80) + +**`Internal`** Runs the model's forward method with the given input tensors. It returns the output tensors that mimic the structure of output from ExecuTorch. @@ -113,7 +191,7 @@ Array of output tensors. > **getInputShape**(`methodName`, `index`): `Promise`\<`number`[]\> -Defined in: [modules/BaseModule.ts:34](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L34) +Defined in: [modules/BaseModule.ts:91](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L91) Gets the input shape for a given method and index. diff --git a/docs/docs/06-api-reference/classes/ObjectDetectionModule.md b/docs/docs/06-api-reference/classes/ObjectDetectionModule.md index 662bad8ad..fadb2536c 100644 --- a/docs/docs/06-api-reference/classes/ObjectDetectionModule.md +++ b/docs/docs/06-api-reference/classes/ObjectDetectionModule.md @@ -6,7 +6,7 @@ Module for object detection tasks. ## Extends -- `BaseModule` +- `VisionModule`\<[`Detection`](../interfaces/Detection.md)[]\> ## Constructors @@ -20,21 +20,141 @@ Module for object detection tasks. #### Inherited from -`BaseModule.constructor` +`VisionModule.constructor` ## Properties +### generateFromFrame() + +> **generateFromFrame**: (`frameData`, ...`args`) => `any` + +Defined in: [modules/BaseModule.ts:56](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L56) + +Process a camera frame directly for real-time inference. + +This method is bound to a native JSI function after calling `load()`, +making it worklet-compatible and safe to call from VisionCamera's +frame processor thread. + +**Performance characteristics:** + +- **Zero-copy path**: When using `frame.getNativeBuffer()` from VisionCamera v5, + frame data is accessed directly without copying (fastest, recommended). +- **Copy path**: When using `frame.toArrayBuffer()`, pixel data is copied + from native to JS, then accessed from native code (slower, fallback). + +**Usage with VisionCamera:** + +```typescript +const frameOutput = useFrameOutput({ + pixelFormat: 'rgb', + onFrame(frame) { + 'worklet'; + // Zero-copy approach (recommended) + const nativeBuffer = frame.getNativeBuffer(); + const result = model.generateFromFrame( + { + nativeBuffer: nativeBuffer.pointer, + width: frame.width, + height: frame.height, + }, + ...args + ); + nativeBuffer.release(); + frame.dispose(); + }, +}); +``` + +#### Parameters + +##### frameData + +[`Frame`](../interfaces/Frame.md) + +Frame data object with either nativeBuffer (zero-copy) or data (ArrayBuffer) + +##### args + +...`any`[] + +Additional model-specific arguments (e.g., threshold, options) + +#### Returns + +`any` + +Model-specific output (e.g., detections, classifications, embeddings) + +#### See + +[Frame](../interfaces/Frame.md) for frame data format details + +#### Inherited from + +`VisionModule.generateFromFrame` + +--- + ### nativeModule > **nativeModule**: `any` = `null` -Defined in: [modules/BaseModule.ts:8](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L8) +Defined in: [modules/BaseModule.ts:17](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L17) + +**`Internal`** + +Native module instance (JSI Host Object) -Native module instance +#### Inherited from + +`VisionModule.nativeModule` + +## Accessors + +### runOnFrame + +#### Get Signature + +> **get** **runOnFrame**(): (`frame`, ...`args`) => `TOutput` \| `null` + +Defined in: [modules/computer_vision/VisionModule.ts:61](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/computer_vision/VisionModule.ts#L61) + +Synchronous worklet function for real-time VisionCamera frame processing. + +Only available after the model is loaded. Returns null if not loaded. + +**Use this for VisionCamera frame processing in worklets.** +For async processing, use `forward()` instead. + +##### Example + +```typescript +const model = new ClassificationModule(); +await model.load({ modelSource: MODEL }); + +// Use the functional form of setState to store the worklet — passing it +// directly would cause React to invoke it immediately as an updater fn. +const [runOnFrame, setRunOnFrame] = useState(null); +setRunOnFrame(() => model.runOnFrame); + +const frameOutput = useFrameOutput({ + onFrame(frame) { + 'worklet'; + if (!runOnFrame) return; + const result = runOnFrame(frame); + frame.dispose(); + }, +}); +``` + +##### Returns + +(`frame`, ...`args`) => `TOutput` \| `null` #### Inherited from -`BaseModule.nativeModule` +`VisionModule.runOnFrame` ## Methods @@ -42,9 +162,11 @@ Native module instance > **delete**(): `void` -Defined in: [modules/BaseModule.ts:41](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L41) +Defined in: [modules/BaseModule.ts:100](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L100) + +Unloads the model from memory and releases native resources. -Unloads the model from memory. +Always call this method when you're done with a model to prevent memory leaks. #### Returns @@ -52,38 +174,70 @@ Unloads the model from memory. #### Inherited from -`BaseModule.delete` +`VisionModule.delete` --- ### forward() -> **forward**(`imageSource`, `detectionThreshold?`): `Promise`\<[`Detection`](../interfaces/Detection.md)[]\> +> **forward**(`input`, `detectionThreshold?`): `Promise`\<[`Detection`](../interfaces/Detection.md)[]\> + +Defined in: [modules/computer_vision/ObjectDetectionModule.ts:46](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/computer_vision/ObjectDetectionModule.ts#L46) + +Executes the model's forward pass with automatic input type detection. -Defined in: [modules/computer_vision/ObjectDetectionModule.ts:54](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/computer_vision/ObjectDetectionModule.ts#L54) +Supports two input types: -Executes the model's forward pass, where `imageSource` can be a fetchable resource or a Base64-encoded string. -`detectionThreshold` can be supplied to alter the sensitivity of the detection. +1. **String path/URI**: File path, URL, or Base64-encoded string +2. **PixelData**: Raw pixel data from image libraries (e.g., NitroImage) + +**Note**: For VisionCamera frame processing, use `runOnFrame` instead. +This method is async and cannot be called in worklet context. #### Parameters -##### imageSource +##### input -`string` +Image source (string path or PixelData object) -The image source to be processed. +`string` | [`PixelData`](../interfaces/PixelData.md) ##### detectionThreshold? -`number` = `0.7` - -The threshold for detection sensitivity. Default is 0.7. +`number` = `0.5` #### Returns `Promise`\<[`Detection`](../interfaces/Detection.md)[]\> -An array of Detection objects representing detected items in the image. +A Promise that resolves to the model output. + +#### Example + +```typescript +// String path (async) +const result1 = await model.forward('file:///path/to/image.jpg'); + +// Pixel data (async) +const result2 = await model.forward({ + dataPtr: new Uint8Array(pixelBuffer), + sizes: [480, 640, 3], + scalarType: ScalarType.BYTE, +}); + +// For VisionCamera frames, use runOnFrame in worklet: +const frameOutput = useFrameOutput({ + onFrame(frame) { + 'worklet'; + if (!model.runOnFrame) return; + const result = model.runOnFrame(frame); + }, +}); +``` + +#### Overrides + +`VisionModule.forward` --- @@ -91,7 +245,9 @@ An array of Detection objects representing detected items in the image. > `protected` **forwardET**(`inputTensor`): `Promise`\<[`TensorPtr`](../interfaces/TensorPtr.md)[]\> -Defined in: [modules/BaseModule.ts:23](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L23) +Defined in: [modules/BaseModule.ts:80](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L80) + +**`Internal`** Runs the model's forward method with the given input tensors. It returns the output tensors that mimic the structure of output from ExecuTorch. @@ -112,7 +268,7 @@ Array of output tensors. #### Inherited from -`BaseModule.forwardET` +`VisionModule.forwardET` --- @@ -120,7 +276,7 @@ Array of output tensors. > **getInputShape**(`methodName`, `index`): `Promise`\<`number`[]\> -Defined in: [modules/BaseModule.ts:34](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L34) +Defined in: [modules/BaseModule.ts:91](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L91) Gets the input shape for a given method and index. @@ -146,7 +302,7 @@ The input shape as an array of numbers. #### Inherited from -`BaseModule.getInputShape` +`VisionModule.getInputShape` --- @@ -181,4 +337,4 @@ Optional callback to monitor download progress. #### Overrides -`BaseModule.load` +`VisionModule.load` diff --git a/docs/docs/06-api-reference/classes/SemanticSegmentationModule.md b/docs/docs/06-api-reference/classes/SemanticSegmentationModule.md index 861d86e08..b6f23cd74 100644 --- a/docs/docs/06-api-reference/classes/SemanticSegmentationModule.md +++ b/docs/docs/06-api-reference/classes/SemanticSegmentationModule.md @@ -26,13 +26,87 @@ Either a built-in model name (`'deeplab-v3-resnet50'`, ## Properties +### generateFromFrame() + +> **generateFromFrame**: (`frameData`, ...`args`) => `any` + +Defined in: [modules/BaseModule.ts:56](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L56) + +Process a camera frame directly for real-time inference. + +This method is bound to a native JSI function after calling `load()`, +making it worklet-compatible and safe to call from VisionCamera's +frame processor thread. + +**Performance characteristics:** + +- **Zero-copy path**: When using `frame.getNativeBuffer()` from VisionCamera v5, + frame data is accessed directly without copying (fastest, recommended). +- **Copy path**: When using `frame.toArrayBuffer()`, pixel data is copied + from native to JS, then accessed from native code (slower, fallback). + +**Usage with VisionCamera:** + +```typescript +const frameOutput = useFrameOutput({ + pixelFormat: 'rgb', + onFrame(frame) { + 'worklet'; + // Zero-copy approach (recommended) + const nativeBuffer = frame.getNativeBuffer(); + const result = model.generateFromFrame( + { + nativeBuffer: nativeBuffer.pointer, + width: frame.width, + height: frame.height, + }, + ...args + ); + nativeBuffer.release(); + frame.dispose(); + }, +}); +``` + +#### Parameters + +##### frameData + +[`Frame`](../interfaces/Frame.md) + +Frame data object with either nativeBuffer (zero-copy) or data (ArrayBuffer) + +##### args + +...`any`[] + +Additional model-specific arguments (e.g., threshold, options) + +#### Returns + +`any` + +Model-specific output (e.g., detections, classifications, embeddings) + +#### See + +[Frame](../interfaces/Frame.md) for frame data format details + +#### Inherited from + +`BaseModule.generateFromFrame` + +--- + ### nativeModule > **nativeModule**: `any` = `null` -Defined in: [modules/BaseModule.ts:8](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L8) +Defined in: [modules/BaseModule.ts:17](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L17) + +**`Internal`** -Native module instance +Native module instance (JSI Host Object) #### Inherited from @@ -44,9 +118,11 @@ Native module instance > **delete**(): `void` -Defined in: [modules/BaseModule.ts:41](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L41) +Defined in: [modules/BaseModule.ts:100](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L100) -Unloads the model from memory. +Unloads the model from memory and releases native resources. + +Always call this method when you're done with a model to prevent memory leaks. #### Returns @@ -108,7 +184,9 @@ If the model is not loaded. > `protected` **forwardET**(`inputTensor`): `Promise`\<[`TensorPtr`](../interfaces/TensorPtr.md)[]\> -Defined in: [modules/BaseModule.ts:23](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L23) +Defined in: [modules/BaseModule.ts:80](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L80) + +**`Internal`** Runs the model's forward method with the given input tensors. It returns the output tensors that mimic the structure of output from ExecuTorch. @@ -137,7 +215,7 @@ Array of output tensors. > **getInputShape**(`methodName`, `index`): `Promise`\<`number`[]\> -Defined in: [modules/BaseModule.ts:34](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L34) +Defined in: [modules/BaseModule.ts:91](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L91) Gets the input shape for a given method and index. @@ -173,6 +251,8 @@ The input shape as an array of numbers. Defined in: [modules/computer_vision/SemanticSegmentationModule.ts:97](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/computer_vision/SemanticSegmentationModule.ts#L97) +Load the model and prepare it for inference. + #### Returns `Promise`\<`void`\> diff --git a/docs/docs/06-api-reference/classes/StyleTransferModule.md b/docs/docs/06-api-reference/classes/StyleTransferModule.md index f65ba4802..fde173d7c 100644 --- a/docs/docs/06-api-reference/classes/StyleTransferModule.md +++ b/docs/docs/06-api-reference/classes/StyleTransferModule.md @@ -24,13 +24,87 @@ Module for style transfer tasks. ## Properties +### generateFromFrame() + +> **generateFromFrame**: (`frameData`, ...`args`) => `any` + +Defined in: [modules/BaseModule.ts:56](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L56) + +Process a camera frame directly for real-time inference. + +This method is bound to a native JSI function after calling `load()`, +making it worklet-compatible and safe to call from VisionCamera's +frame processor thread. + +**Performance characteristics:** + +- **Zero-copy path**: When using `frame.getNativeBuffer()` from VisionCamera v5, + frame data is accessed directly without copying (fastest, recommended). +- **Copy path**: When using `frame.toArrayBuffer()`, pixel data is copied + from native to JS, then accessed from native code (slower, fallback). + +**Usage with VisionCamera:** + +```typescript +const frameOutput = useFrameOutput({ + pixelFormat: 'rgb', + onFrame(frame) { + 'worklet'; + // Zero-copy approach (recommended) + const nativeBuffer = frame.getNativeBuffer(); + const result = model.generateFromFrame( + { + nativeBuffer: nativeBuffer.pointer, + width: frame.width, + height: frame.height, + }, + ...args + ); + nativeBuffer.release(); + frame.dispose(); + }, +}); +``` + +#### Parameters + +##### frameData + +[`Frame`](../interfaces/Frame.md) + +Frame data object with either nativeBuffer (zero-copy) or data (ArrayBuffer) + +##### args + +...`any`[] + +Additional model-specific arguments (e.g., threshold, options) + +#### Returns + +`any` + +Model-specific output (e.g., detections, classifications, embeddings) + +#### See + +[Frame](../interfaces/Frame.md) for frame data format details + +#### Inherited from + +`BaseModule.generateFromFrame` + +--- + ### nativeModule > **nativeModule**: `any` = `null` -Defined in: [modules/BaseModule.ts:8](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L8) +Defined in: [modules/BaseModule.ts:17](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L17) + +**`Internal`** -Native module instance +Native module instance (JSI Host Object) #### Inherited from @@ -42,9 +116,11 @@ Native module instance > **delete**(): `void` -Defined in: [modules/BaseModule.ts:41](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L41) +Defined in: [modules/BaseModule.ts:100](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L100) -Unloads the model from memory. +Unloads the model from memory and releases native resources. + +Always call this method when you're done with a model to prevent memory leaks. #### Returns @@ -84,7 +160,9 @@ The stylized image as a Base64-encoded string. > `protected` **forwardET**(`inputTensor`): `Promise`\<[`TensorPtr`](../interfaces/TensorPtr.md)[]\> -Defined in: [modules/BaseModule.ts:23](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L23) +Defined in: [modules/BaseModule.ts:80](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L80) + +**`Internal`** Runs the model's forward method with the given input tensors. It returns the output tensors that mimic the structure of output from ExecuTorch. @@ -113,7 +191,7 @@ Array of output tensors. > **getInputShape**(`methodName`, `index`): `Promise`\<`number`[]\> -Defined in: [modules/BaseModule.ts:34](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L34) +Defined in: [modules/BaseModule.ts:91](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L91) Gets the input shape for a given method and index. diff --git a/docs/docs/06-api-reference/classes/TextEmbeddingsModule.md b/docs/docs/06-api-reference/classes/TextEmbeddingsModule.md index 025c6c8e1..28a10045f 100644 --- a/docs/docs/06-api-reference/classes/TextEmbeddingsModule.md +++ b/docs/docs/06-api-reference/classes/TextEmbeddingsModule.md @@ -24,13 +24,87 @@ Module for generating text embeddings from input text. ## Properties +### generateFromFrame() + +> **generateFromFrame**: (`frameData`, ...`args`) => `any` + +Defined in: [modules/BaseModule.ts:56](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L56) + +Process a camera frame directly for real-time inference. + +This method is bound to a native JSI function after calling `load()`, +making it worklet-compatible and safe to call from VisionCamera's +frame processor thread. + +**Performance characteristics:** + +- **Zero-copy path**: When using `frame.getNativeBuffer()` from VisionCamera v5, + frame data is accessed directly without copying (fastest, recommended). +- **Copy path**: When using `frame.toArrayBuffer()`, pixel data is copied + from native to JS, then accessed from native code (slower, fallback). + +**Usage with VisionCamera:** + +```typescript +const frameOutput = useFrameOutput({ + pixelFormat: 'rgb', + onFrame(frame) { + 'worklet'; + // Zero-copy approach (recommended) + const nativeBuffer = frame.getNativeBuffer(); + const result = model.generateFromFrame( + { + nativeBuffer: nativeBuffer.pointer, + width: frame.width, + height: frame.height, + }, + ...args + ); + nativeBuffer.release(); + frame.dispose(); + }, +}); +``` + +#### Parameters + +##### frameData + +[`Frame`](../interfaces/Frame.md) + +Frame data object with either nativeBuffer (zero-copy) or data (ArrayBuffer) + +##### args + +...`any`[] + +Additional model-specific arguments (e.g., threshold, options) + +#### Returns + +`any` + +Model-specific output (e.g., detections, classifications, embeddings) + +#### See + +[Frame](../interfaces/Frame.md) for frame data format details + +#### Inherited from + +`BaseModule.generateFromFrame` + +--- + ### nativeModule > **nativeModule**: `any` = `null` -Defined in: [modules/BaseModule.ts:8](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L8) +Defined in: [modules/BaseModule.ts:17](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L17) + +**`Internal`** -Native module instance +Native module instance (JSI Host Object) #### Inherited from @@ -42,9 +116,11 @@ Native module instance > **delete**(): `void` -Defined in: [modules/BaseModule.ts:41](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L41) +Defined in: [modules/BaseModule.ts:100](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L100) -Unloads the model from memory. +Unloads the model from memory and releases native resources. + +Always call this method when you're done with a model to prevent memory leaks. #### Returns @@ -84,7 +160,9 @@ A Float32Array containing the vector embeddings. > `protected` **forwardET**(`inputTensor`): `Promise`\<[`TensorPtr`](../interfaces/TensorPtr.md)[]\> -Defined in: [modules/BaseModule.ts:23](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L23) +Defined in: [modules/BaseModule.ts:80](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L80) + +**`Internal`** Runs the model's forward method with the given input tensors. It returns the output tensors that mimic the structure of output from ExecuTorch. @@ -113,7 +191,7 @@ Array of output tensors. > **getInputShape**(`methodName`, `index`): `Promise`\<`number`[]\> -Defined in: [modules/BaseModule.ts:34](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L34) +Defined in: [modules/BaseModule.ts:91](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L91) Gets the input shape for a given method and index. diff --git a/docs/docs/06-api-reference/classes/TextToImageModule.md b/docs/docs/06-api-reference/classes/TextToImageModule.md index e2b057a73..b0769de03 100644 --- a/docs/docs/06-api-reference/classes/TextToImageModule.md +++ b/docs/docs/06-api-reference/classes/TextToImageModule.md @@ -36,13 +36,87 @@ Optional callback function that receives the current step index during inference ## Properties +### generateFromFrame() + +> **generateFromFrame**: (`frameData`, ...`args`) => `any` + +Defined in: [modules/BaseModule.ts:56](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L56) + +Process a camera frame directly for real-time inference. + +This method is bound to a native JSI function after calling `load()`, +making it worklet-compatible and safe to call from VisionCamera's +frame processor thread. + +**Performance characteristics:** + +- **Zero-copy path**: When using `frame.getNativeBuffer()` from VisionCamera v5, + frame data is accessed directly without copying (fastest, recommended). +- **Copy path**: When using `frame.toArrayBuffer()`, pixel data is copied + from native to JS, then accessed from native code (slower, fallback). + +**Usage with VisionCamera:** + +```typescript +const frameOutput = useFrameOutput({ + pixelFormat: 'rgb', + onFrame(frame) { + 'worklet'; + // Zero-copy approach (recommended) + const nativeBuffer = frame.getNativeBuffer(); + const result = model.generateFromFrame( + { + nativeBuffer: nativeBuffer.pointer, + width: frame.width, + height: frame.height, + }, + ...args + ); + nativeBuffer.release(); + frame.dispose(); + }, +}); +``` + +#### Parameters + +##### frameData + +[`Frame`](../interfaces/Frame.md) + +Frame data object with either nativeBuffer (zero-copy) or data (ArrayBuffer) + +##### args + +...`any`[] + +Additional model-specific arguments (e.g., threshold, options) + +#### Returns + +`any` + +Model-specific output (e.g., detections, classifications, embeddings) + +#### See + +[Frame](../interfaces/Frame.md) for frame data format details + +#### Inherited from + +`BaseModule.generateFromFrame` + +--- + ### nativeModule > **nativeModule**: `any` = `null` -Defined in: [modules/BaseModule.ts:8](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L8) +Defined in: [modules/BaseModule.ts:17](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L17) + +**`Internal`** -Native module instance +Native module instance (JSI Host Object) #### Inherited from @@ -54,9 +128,11 @@ Native module instance > **delete**(): `void` -Defined in: [modules/BaseModule.ts:41](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L41) +Defined in: [modules/BaseModule.ts:100](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L100) -Unloads the model from memory. +Unloads the model from memory and releases native resources. + +Always call this method when you're done with a model to prevent memory leaks. #### Returns @@ -115,7 +191,9 @@ A Base64-encoded string representing the generated PNG image. > `protected` **forwardET**(`inputTensor`): `Promise`\<[`TensorPtr`](../interfaces/TensorPtr.md)[]\> -Defined in: [modules/BaseModule.ts:23](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L23) +Defined in: [modules/BaseModule.ts:80](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L80) + +**`Internal`** Runs the model's forward method with the given input tensors. It returns the output tensors that mimic the structure of output from ExecuTorch. @@ -144,7 +222,7 @@ Array of output tensors. > **getInputShape**(`methodName`, `index`): `Promise`\<`number`[]\> -Defined in: [modules/BaseModule.ts:34](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L34) +Defined in: [modules/BaseModule.ts:91](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L91) Gets the input shape for a given method and index. diff --git a/docs/docs/06-api-reference/classes/VADModule.md b/docs/docs/06-api-reference/classes/VADModule.md index c7d1cc136..6b9ff4120 100644 --- a/docs/docs/06-api-reference/classes/VADModule.md +++ b/docs/docs/06-api-reference/classes/VADModule.md @@ -24,13 +24,87 @@ Module for Voice Activity Detection (VAD) functionalities. ## Properties +### generateFromFrame() + +> **generateFromFrame**: (`frameData`, ...`args`) => `any` + +Defined in: [modules/BaseModule.ts:56](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L56) + +Process a camera frame directly for real-time inference. + +This method is bound to a native JSI function after calling `load()`, +making it worklet-compatible and safe to call from VisionCamera's +frame processor thread. + +**Performance characteristics:** + +- **Zero-copy path**: When using `frame.getNativeBuffer()` from VisionCamera v5, + frame data is accessed directly without copying (fastest, recommended). +- **Copy path**: When using `frame.toArrayBuffer()`, pixel data is copied + from native to JS, then accessed from native code (slower, fallback). + +**Usage with VisionCamera:** + +```typescript +const frameOutput = useFrameOutput({ + pixelFormat: 'rgb', + onFrame(frame) { + 'worklet'; + // Zero-copy approach (recommended) + const nativeBuffer = frame.getNativeBuffer(); + const result = model.generateFromFrame( + { + nativeBuffer: nativeBuffer.pointer, + width: frame.width, + height: frame.height, + }, + ...args + ); + nativeBuffer.release(); + frame.dispose(); + }, +}); +``` + +#### Parameters + +##### frameData + +[`Frame`](../interfaces/Frame.md) + +Frame data object with either nativeBuffer (zero-copy) or data (ArrayBuffer) + +##### args + +...`any`[] + +Additional model-specific arguments (e.g., threshold, options) + +#### Returns + +`any` + +Model-specific output (e.g., detections, classifications, embeddings) + +#### See + +[Frame](../interfaces/Frame.md) for frame data format details + +#### Inherited from + +`BaseModule.generateFromFrame` + +--- + ### nativeModule > **nativeModule**: `any` = `null` -Defined in: [modules/BaseModule.ts:8](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L8) +Defined in: [modules/BaseModule.ts:17](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L17) + +**`Internal`** -Native module instance +Native module instance (JSI Host Object) #### Inherited from @@ -42,9 +116,11 @@ Native module instance > **delete**(): `void` -Defined in: [modules/BaseModule.ts:41](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L41) +Defined in: [modules/BaseModule.ts:100](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L100) -Unloads the model from memory. +Unloads the model from memory and releases native resources. + +Always call this method when you're done with a model to prevent memory leaks. #### Returns @@ -84,7 +160,9 @@ A promise resolving to an array of detected speech segments. > `protected` **forwardET**(`inputTensor`): `Promise`\<[`TensorPtr`](../interfaces/TensorPtr.md)[]\> -Defined in: [modules/BaseModule.ts:23](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L23) +Defined in: [modules/BaseModule.ts:80](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L80) + +**`Internal`** Runs the model's forward method with the given input tensors. It returns the output tensors that mimic the structure of output from ExecuTorch. @@ -113,7 +191,7 @@ Array of output tensors. > **getInputShape**(`methodName`, `index`): `Promise`\<`number`[]\> -Defined in: [modules/BaseModule.ts:34](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L34) +Defined in: [modules/BaseModule.ts:91](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L91) Gets the input shape for a given method and index. diff --git a/docs/docs/06-api-reference/enumerations/RnExecutorchErrorCode.md b/docs/docs/06-api-reference/enumerations/RnExecutorchErrorCode.md index c5cdde479..8af6a41a0 100644 --- a/docs/docs/06-api-reference/enumerations/RnExecutorchErrorCode.md +++ b/docs/docs/06-api-reference/enumerations/RnExecutorchErrorCode.md @@ -8,7 +8,7 @@ Defined in: [errors/ErrorCodes.ts:4](https://github.com/software-mansion/react-n > **AccessFailed**: `34` -Defined in: [errors/ErrorCodes.ts:156](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L156) +Defined in: [errors/ErrorCodes.ts:160](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L160) Could not access a resource. @@ -18,7 +18,7 @@ Could not access a resource. > **DelegateInvalidCompatibility**: `48` -Defined in: [errors/ErrorCodes.ts:172](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L172) +Defined in: [errors/ErrorCodes.ts:176](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L176) Init stage: Backend receives an incompatible delegate version. @@ -28,7 +28,7 @@ Init stage: Backend receives an incompatible delegate version. > **DelegateInvalidHandle**: `50` -Defined in: [errors/ErrorCodes.ts:180](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L180) +Defined in: [errors/ErrorCodes.ts:184](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L184) Execute stage: The handle is invalid. @@ -38,7 +38,7 @@ Execute stage: The handle is invalid. > **DelegateMemoryAllocationFailed**: `49` -Defined in: [errors/ErrorCodes.ts:176](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L176) +Defined in: [errors/ErrorCodes.ts:180](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L180) Init stage: Backend fails to allocate memory. @@ -58,7 +58,7 @@ Thrown when the number of downloaded files is unexpected, due to download interr > **EndOfMethod**: `3` -Defined in: [errors/ErrorCodes.ts:124](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L124) +Defined in: [errors/ErrorCodes.ts:128](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L128) Status indicating there are no more steps of execution to run @@ -88,7 +88,7 @@ An error ocurred when saving a file. This could be, for instance a result image > **Internal**: `1` -Defined in: [errors/ErrorCodes.ts:116](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L116) +Defined in: [errors/ErrorCodes.ts:120](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L120) An internal error occurred. @@ -98,7 +98,7 @@ An internal error occurred. > **InvalidArgument**: `18` -Defined in: [errors/ErrorCodes.ts:136](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L136) +Defined in: [errors/ErrorCodes.ts:140](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L140) User provided an invalid argument. @@ -118,7 +118,7 @@ Thrown when config parameters passed to a model are invalid. For example, when L > **InvalidExternalData**: `36` -Defined in: [errors/ErrorCodes.ts:164](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L164) +Defined in: [errors/ErrorCodes.ts:168](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L168) Error caused by the contents of external data. @@ -148,7 +148,7 @@ Thrown when the type of model source passed by the user is invalid. > **InvalidProgram**: `35` -Defined in: [errors/ErrorCodes.ts:160](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L160) +Defined in: [errors/ErrorCodes.ts:164](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L164) Error caused by the contents of a program. @@ -158,7 +158,7 @@ Error caused by the contents of a program. > **InvalidState**: `2` -Defined in: [errors/ErrorCodes.ts:120](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L120) +Defined in: [errors/ErrorCodes.ts:124](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L124) Status indicating the executor is in an invalid state for a targeted operation. @@ -168,7 +168,7 @@ Status indicating the executor is in an invalid state for a targeted operation. > **InvalidType**: `19` -Defined in: [errors/ErrorCodes.ts:140](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L140) +Defined in: [errors/ErrorCodes.ts:144](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L144) Object is an invalid type for the operation. @@ -198,7 +198,7 @@ Thrown when a language is passed to a multi-language model that is not supported > **MemoryAllocationFailed**: `33` -Defined in: [errors/ErrorCodes.ts:152](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L152) +Defined in: [errors/ErrorCodes.ts:156](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L156) Could not allocate the requested memory. @@ -208,7 +208,7 @@ Could not allocate the requested memory. > **MissingDataChunk**: `161` -Defined in: [errors/ErrorCodes.ts:72](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L72) +Defined in: [errors/ErrorCodes.ts:76](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L76) Thrown when streaming transcription is attempted but audio data chunk is missing. @@ -238,7 +238,7 @@ Thrown when a user tries to run a model that is not yet downloaded or loaded int > **MultilingualConfiguration**: `160` -Defined in: [errors/ErrorCodes.ts:68](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L68) +Defined in: [errors/ErrorCodes.ts:72](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L72) Thrown when there's a configuration mismatch between multilingual and language settings in Speech-to-Text models. @@ -248,7 +248,7 @@ Thrown when there's a configuration mismatch between multilingual and language s > **NotFound**: `32` -Defined in: [errors/ErrorCodes.ts:148](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L148) +Defined in: [errors/ErrorCodes.ts:152](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L152) Requested resource could not be found. @@ -258,7 +258,7 @@ Requested resource could not be found. > **NotImplemented**: `17` -Defined in: [errors/ErrorCodes.ts:132](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L132) +Defined in: [errors/ErrorCodes.ts:136](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L136) Operation is not yet implemented. @@ -268,7 +268,7 @@ Operation is not yet implemented. > **NotSupported**: `16` -Defined in: [errors/ErrorCodes.ts:128](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L128) +Defined in: [errors/ErrorCodes.ts:132](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L132) Operation is not supported in the current context. @@ -278,7 +278,7 @@ Operation is not supported in the current context. > **Ok**: `0` -Defined in: [errors/ErrorCodes.ts:112](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L112) +Defined in: [errors/ErrorCodes.ts:116](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L116) Status indicating a successful operation. @@ -288,7 +288,7 @@ Status indicating a successful operation. > **OperatorMissing**: `20` -Defined in: [errors/ErrorCodes.ts:144](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L144) +Defined in: [errors/ErrorCodes.ts:148](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L148) Operator(s) missing in the operator registry. @@ -298,17 +298,27 @@ Operator(s) missing in the operator registry. > **OutOfResources**: `37` -Defined in: [errors/ErrorCodes.ts:168](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L168) +Defined in: [errors/ErrorCodes.ts:172](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L172) Does not have enough resources to perform the requested operation. --- +### PlatformNotSupported + +> **PlatformNotSupported**: `119` + +Defined in: [errors/ErrorCodes.ts:64](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L64) + +Thrown when a feature or platform is not supported in the current environment. + +--- + ### ResourceFetcherAdapterNotInitialized > **ResourceFetcherAdapterNotInitialized**: `186` -Defined in: [errors/ErrorCodes.ts:108](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L108) +Defined in: [errors/ErrorCodes.ts:112](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L112) Thrown when trying to load resources without fetcher initialization. @@ -318,7 +328,7 @@ Thrown when trying to load resources without fetcher initialization. > **ResourceFetcherAlreadyOngoing**: `183` -Defined in: [errors/ErrorCodes.ts:96](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L96) +Defined in: [errors/ErrorCodes.ts:100](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L100) Thrown when trying to resume a download that is already ongoing. @@ -328,7 +338,7 @@ Thrown when trying to resume a download that is already ongoing. > **ResourceFetcherAlreadyPaused**: `182` -Defined in: [errors/ErrorCodes.ts:92](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L92) +Defined in: [errors/ErrorCodes.ts:96](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L96) Thrown when trying to pause a download that is already paused. @@ -338,7 +348,7 @@ Thrown when trying to pause a download that is already paused. > **ResourceFetcherDownloadFailed**: `180` -Defined in: [errors/ErrorCodes.ts:84](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L84) +Defined in: [errors/ErrorCodes.ts:88](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L88) Thrown when a resource fails to download. This could be due to invalid URL, or for example a network problem. @@ -348,7 +358,7 @@ Thrown when a resource fails to download. This could be due to invalid URL, or f > **ResourceFetcherDownloadInProgress**: `181` -Defined in: [errors/ErrorCodes.ts:88](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L88) +Defined in: [errors/ErrorCodes.ts:92](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L92) Thrown when a user tries to trigger a download that's already in progress. @@ -358,7 +368,7 @@ Thrown when a user tries to trigger a download that's already in progress. > **ResourceFetcherMissingUri**: `185` -Defined in: [errors/ErrorCodes.ts:104](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L104) +Defined in: [errors/ErrorCodes.ts:108](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L108) Thrown when required URI information is missing for a download operation. @@ -368,7 +378,7 @@ Thrown when required URI information is missing for a download operation. > **ResourceFetcherNotActive**: `184` -Defined in: [errors/ErrorCodes.ts:100](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L100) +Defined in: [errors/ErrorCodes.ts:104](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L104) Thrown when trying to pause, resume, or cancel a download that is not active. @@ -378,7 +388,7 @@ Thrown when trying to pause, resume, or cancel a download that is not active. > **StreamingInProgress**: `163` -Defined in: [errors/ErrorCodes.ts:80](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L80) +Defined in: [errors/ErrorCodes.ts:84](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L84) Thrown when trying to start a new streaming session while another is already in progress. @@ -388,7 +398,7 @@ Thrown when trying to start a new streaming session while another is already in > **StreamingNotStarted**: `162` -Defined in: [errors/ErrorCodes.ts:76](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L76) +Defined in: [errors/ErrorCodes.ts:80](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L80) Thrown when trying to stop or insert data into a stream that hasn't been started. @@ -408,7 +418,7 @@ Thrown when React Native ExecuTorch threadpool problem occurs. > **TokenizerError**: `167` -Defined in: [errors/ErrorCodes.ts:64](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L64) +Defined in: [errors/ErrorCodes.ts:68](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/errors/ErrorCodes.ts#L68) Thrown when an error occurs with the tokenizer or tokenization process. diff --git a/docs/docs/06-api-reference/index.md b/docs/docs/06-api-reference/index.md index f5bca0cde..7bffecd63 100644 --- a/docs/docs/06-api-reference/index.md +++ b/docs/docs/06-api-reference/index.md @@ -197,6 +197,7 @@ - [RnExecutorchErrorCode](enumerations/RnExecutorchErrorCode.md) - [Logger](classes/Logger.md) - [RnExecutorchError](classes/RnExecutorchError.md) +- [Frame](interfaces/Frame.md) ## TTS Supported Voices @@ -241,6 +242,7 @@ - [OCRDetection](interfaces/OCRDetection.md) - [OCRProps](interfaces/OCRProps.md) - [OCRType](interfaces/OCRType.md) +- [PixelData](interfaces/PixelData.md) - [Point](interfaces/Point.md) - [Segment](interfaces/Segment.md) - [SemanticSegmentationProps](interfaces/SemanticSegmentationProps.md) diff --git a/docs/docs/06-api-reference/interfaces/Frame.md b/docs/docs/06-api-reference/interfaces/Frame.md new file mode 100644 index 000000000..149a3837f --- /dev/null +++ b/docs/docs/06-api-reference/interfaces/Frame.md @@ -0,0 +1,36 @@ +# Interface: Frame + +Defined in: [types/common.ts:197](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/types/common.ts#L197) + +Frame data for vision model processing. + +## Methods + +### getNativeBuffer() + +> **getNativeBuffer**(): `object` + +Defined in: [types/common.ts:205](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/types/common.ts#L205) + +Pointer to native platform buffer (zero-copy, best performance). + +- On iOS: CVPixelBufferRef pointer +- On Android: AHardwareBuffer\* pointer + +Obtain from Vision Camera v5: `frame.getNativeBuffer().pointer` + +#### Returns + +`object` + +##### pointer + +> **pointer**: `bigint` + +##### release() + +> **release**(): `void` + +###### Returns + +`void` diff --git a/docs/docs/06-api-reference/interfaces/ObjectDetectionType.md b/docs/docs/06-api-reference/interfaces/ObjectDetectionType.md index a9f28e5cf..4bd5dba98 100644 --- a/docs/docs/06-api-reference/interfaces/ObjectDetectionType.md +++ b/docs/docs/06-api-reference/interfaces/ObjectDetectionType.md @@ -29,36 +29,57 @@ Contains the error object if the model failed to load, download, or encountered ### forward() -> **forward**: (`imageSource`, `detectionThreshold?`) => `Promise`\<[`Detection`](Detection.md)[]\> +> **forward**: (`input`, `detectionThreshold?`) => `Promise`\<[`Detection`](Detection.md)[]\> -Defined in: [types/objectDetection.ts:179](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/types/objectDetection.ts#L179) +Defined in: [types/objectDetection.ts:199](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/types/objectDetection.ts#L199) -Executes the model's forward pass to detect objects within the provided image. +Executes the model's forward pass with automatic input type detection. + +Supports two input types: + +1. **String path/URI**: File path, URL, or Base64-encoded string +2. **PixelData**: Raw pixel data from image libraries (e.g., NitroImage) + +**Note**: For VisionCamera frame processing, use `runOnFrame` instead. #### Parameters -##### imageSource +##### input -`string` +Image source (string or PixelData object) -A string representing the image source (e.g., a file path, URI, or base64 string) to be processed. +`string` | [`PixelData`](PixelData.md) ##### detectionThreshold? `number` -An optional number between 0 and 1 representing the minimum confidence score required for an object to be included in the results. Default is 0.7. +An optional number between 0 and 1 representing the minimum confidence score. Default is 0.5. #### Returns `Promise`\<[`Detection`](Detection.md)[]\> -A Promise that resolves to an array of `Detection` objects, where each object typically contains bounding box coordinates, a class label, and a confidence score. +A Promise that resolves to an array of `Detection` objects. #### Throws If the model is not loaded or is currently processing another image. +#### Example + +```typescript +// String path +const detections1 = await model.forward('file:///path/to/image.jpg'); + +// Pixel data +const detections2 = await model.forward({ + dataPtr: new Uint8Array(rgbPixels), + sizes: [480, 640, 3], + scalarType: ScalarType.BYTE, +}); +``` + --- ### isGenerating @@ -78,3 +99,46 @@ Indicates whether the model is currently processing an image. Defined in: [types/objectDetection.ts:160](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/types/objectDetection.ts#L160) Indicates whether the object detection model is loaded and ready to process images. + +--- + +### runOnFrame + +> **runOnFrame**: (`frame`, `detectionThreshold`) => [`Detection`](Detection.md)[] \| `null` + +Defined in: [types/objectDetection.ts:231](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/types/objectDetection.ts#L231) + +Synchronous worklet function for real-time VisionCamera frame processing. +Automatically handles native buffer extraction and cleanup. + +**Use this for VisionCamera frame processing in worklets.** +For async processing, use `forward()` instead. + +Available after model is loaded (`isReady: true`). + +#### Example + +```typescript +const { runOnFrame, isReady } = useObjectDetection({ model: MODEL }); + +const frameOutput = useFrameOutput({ + onFrame(frame) { + 'worklet'; + if (!runOnFrame) return; + const detections = runOnFrame(frame, 0.5); + frame.dispose(); + }, +}); +``` + +#### Param + +VisionCamera Frame object + +#### Param + +The threshold for detection sensitivity. + +#### Returns + +Array of Detection objects representing detected items in the frame. diff --git a/docs/docs/06-api-reference/interfaces/PixelData.md b/docs/docs/06-api-reference/interfaces/PixelData.md new file mode 100644 index 000000000..1cc9c60be --- /dev/null +++ b/docs/docs/06-api-reference/interfaces/PixelData.md @@ -0,0 +1,65 @@ +# Interface: PixelData + +Defined in: [types/common.ts:172](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/types/common.ts#L172) + +Represents raw pixel data in RGB format for vision models. + +This type extends TensorPtr with constraints specific to image data: + +- dataPtr must be Uint8Array (8-bit unsigned integers) +- scalarType is always BYTE (ScalarType.BYTE) +- sizes represents [height, width, channels] where channels must be 3 (RGB) + +## Example + +```typescript +const pixelData: PixelData = { + dataPtr: new Uint8Array(width * height * 3), // RGB pixel data + sizes: [height, width, 3], // [height, width, channels] + scalarType: ScalarType.BYTE, +}; +``` + +## Extends + +- `Pick`\<[`TensorPtr`](TensorPtr.md), `"sizes"`\> + +## Properties + +### dataPtr + +> **dataPtr**: `Uint8Array` + +Defined in: [types/common.ts:178](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/types/common.ts#L178) + +RGB pixel data as Uint8Array. +Expected format: RGB (3 channels), not RGBA or BGRA. +Size must equal: width _ height _ 3 + +--- + +### scalarType + +> **scalarType**: [`BYTE`](../enumerations/ScalarType.md#byte) + +Defined in: [types/common.ts:191](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/types/common.ts#L191) + +Scalar type is always BYTE for pixel data. + +--- + +### sizes + +> **sizes**: \[`number`, `number`, `3`\] + +Defined in: [types/common.ts:186](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/types/common.ts#L186) + +Dimensions of the pixel data: [height, width, channels]. + +- sizes[0]: height (number of rows) +- sizes[1]: width (number of columns) +- sizes[2]: channels (must be 3 for RGB) + +#### Overrides + +[`TensorPtr`](TensorPtr.md).[`sizes`](TensorPtr.md#sizes) diff --git a/docs/docs/06-api-reference/typedoc-sidebar.cjs b/docs/docs/06-api-reference/typedoc-sidebar.cjs index 676ba4747..00abf2925 100644 --- a/docs/docs/06-api-reference/typedoc-sidebar.cjs +++ b/docs/docs/06-api-reference/typedoc-sidebar.cjs @@ -1,4 +1,4 @@ // @ts-check /** @type 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module.exports = typedocSidebar.items; \ No newline at end of file diff --git a/package.json b/package.json index 661b13ad1..08390944b 100644 --- a/package.json +++ b/package.json @@ -23,6 +23,7 @@ "eslint-plugin-ft-flow": "^2.0.3", "eslint-plugin-markdown": "^5.1.0", "eslint-plugin-prettier": "^5.0.1", + "expo-router": "~6.0.17", "prettier": "^3.3.3", "prettier-plugin-jsdoc": "^1.3.0", "typescript": "~5.9.2" diff --git a/packages/react-native-executorch/android/gradle.properties b/packages/react-native-executorch/android/gradle.properties index b30a8b11d..97cdd1854 100644 --- a/packages/react-native-executorch/android/gradle.properties +++ b/packages/react-native-executorch/android/gradle.properties @@ -1,5 +1,5 @@ RnExecutorch_kotlinVersion=1.7.0 -RnExecutorch_minSdkVersion=21 +RnExecutorch_minSdkVersion=26 RnExecutorch_targetSdkVersion=31 RnExecutorch_compileSdkVersion=31 -RnExecutorch_ndkversion=21.4.7075529 +RnExecutorch_ndkversion=21.4.7075529 \ No newline at end of file diff --git a/packages/react-native-executorch/common/rnexecutorch/ErrorCodes.h b/packages/react-native-executorch/common/rnexecutorch/ErrorCodes.h index f4fd2e7f0..d49f3a175 100644 --- a/packages/react-native-executorch/common/rnexecutorch/ErrorCodes.h +++ b/packages/react-native-executorch/common/rnexecutorch/ErrorCodes.h @@ -75,6 +75,11 @@ enum class RnExecutorchErrorCode : int32_t { * interruptions. */ DownloadInterrupted = 118, + /** + * Thrown when a feature or platform is not supported in the current + * environment. + */ + PlatformNotSupported = 119, /** * Thrown when an error occurs with the tokenizer or tokenization process. */ diff --git a/packages/react-native-executorch/common/rnexecutorch/RnExecutorchInstaller.h b/packages/react-native-executorch/common/rnexecutorch/RnExecutorchInstaller.h index d5c98763d..54e8c1cbb 100644 --- a/packages/react-native-executorch/common/rnexecutorch/RnExecutorchInstaller.h +++ b/packages/react-native-executorch/common/rnexecutorch/RnExecutorchInstaller.h @@ -54,8 +54,13 @@ class RnExecutorchInstaller { meta::createConstructorArgsWithCallInvoker( args, runtime, jsCallInvoker); - auto modelImplementationPtr = std::make_shared( - std::make_from_tuple(constructorArgs)); + auto modelImplementationPtr = std::apply( + [](auto &&...unpackedArgs) { + return std::make_shared( + std::forward(unpackedArgs)...); + }, + std::move(constructorArgs)); + auto modelHostObject = std::make_shared>( modelImplementationPtr, jsCallInvoker); diff --git a/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h b/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h index df9abbdef..7b97108b9 100644 --- a/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h +++ b/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h @@ -346,6 +346,15 @@ inline jsi::Value getJsiValue(const std::vector &vec, return {runtime, array}; } +inline jsi::Value getJsiValue(const std::vector &vec, + jsi::Runtime &runtime) { + jsi::Array array(runtime, vec.size()); + for (size_t i = 0; i < vec.size(); i++) { + array.setValueAtIndex(runtime, i, jsi::Value(static_cast(vec[i]))); + } + return {runtime, array}; +} + // Conditional as on android, size_t and uint64_t reduce to the same type, // introducing ambiguity template #include #include +#include #include #include #include @@ -168,9 +169,26 @@ template class ModelHostObject : public JsiHostObject { addFunctions(JSI_EXPORT_FUNCTION(ModelHostObject, promiseHostFunction<&Model::stream>, "stream")); + } + + if constexpr (meta::HasGenerateFromString) { + addFunctions( + JSI_EXPORT_FUNCTION(ModelHostObject, + promiseHostFunction<&Model::generateFromString>, + "generateFromString")); + } + + if constexpr (meta::HasGenerateFromFrame) { addFunctions(JSI_EXPORT_FUNCTION( - ModelHostObject, synchronousHostFunction<&Model::streamStop>, - "streamStop")); + ModelHostObject, visionHostFunction<&Model::generateFromFrame>, + "generateFromFrame")); + } + + if constexpr (meta::HasGenerateFromPixels) { + addFunctions( + JSI_EXPORT_FUNCTION(ModelHostObject, + promiseHostFunction<&Model::generateFromPixels>, + "generateFromPixels")); } } @@ -221,6 +239,68 @@ template class ModelHostObject : public JsiHostObject { } } + /** + * Unlike promiseHostFunction, this runs synchronously on the JS thread, + * which is required for VisionCamera worklet frame processors. + * + * The key challenge is argument mapping: the C++ function takes + * (Runtime, frameData, Rest...) but from the JS side, Runtime is injected + * automatically and frameData is JS args[0]. The remaining args (Rest...) + * map to JS args[1..N]. + * + * This is achieved via TailSignature: it extracts the Rest... parameter pack + * from the function pointer type, creates a dummy free function with only + * those types, then uses createArgsTupleFromJsi on that dummy to convert + * args[1..N] — bypassing the manually-handled frameData at args[0]. + * + * Argument mapping: + * C++ params: (Runtime&, frameData, Rest[0], Rest[1], ...) + * JS args: ( args[0], args[1], args[2], ...) + * JS arg count = C++ arity - 1 (Runtime is injected, not counted) + * + */ + template JSI_HOST_FUNCTION(visionHostFunction) { + constexpr std::size_t cppArgCount = + meta::FunctionTraits::arity; + constexpr std::size_t expectedJsArgs = cppArgCount - 1; + + if (count != expectedJsArgs) { + throw jsi::JSError(runtime, "Argument count mismatch in vision function"); + } + + try { + auto dummyFuncPtr = &meta::TailSignature::dummy; + auto tailArgsTuple = + meta::createArgsTupleFromJsi(dummyFuncPtr, args + 1, runtime); + + using ReturnType = + typename meta::FunctionTraits::return_type; + + if constexpr (std::is_void_v) { + std::apply( + [&](auto &&...tailArgs) { + (model.get()->*FnPtr)( + runtime, args[0], + std::forward(tailArgs)...); + }, + std::move(tailArgsTuple)); + return jsi::Value::undefined(); + } else { + auto result = std::apply( + [&](auto &&...tailArgs) { + return (model.get()->*FnPtr)( + runtime, args[0], + std::forward(tailArgs)...); + }, + std::move(tailArgsTuple)); + + return jsi_conversion::getJsiValue(std::move(result), runtime); + } + } catch (const std::exception &e) { + throw jsi::JSError(runtime, e.what()); + } + } + // A generic host function that resolves a promise with a result of a // function. JSI arguments are converted to the types provided in the function // signature, and the return value is converted back to JSI before resolving. diff --git a/packages/react-native-executorch/common/rnexecutorch/metaprogramming/FunctionHelpers.h b/packages/react-native-executorch/common/rnexecutorch/metaprogramming/FunctionHelpers.h index 8290a810b..fde81e046 100644 --- a/packages/react-native-executorch/common/rnexecutorch/metaprogramming/FunctionHelpers.h +++ b/packages/react-native-executorch/common/rnexecutorch/metaprogramming/FunctionHelpers.h @@ -3,6 +3,7 @@ #include #include #include +#include #include @@ -23,7 +24,8 @@ template std::tuple fillTupleFromArgs(std::index_sequence, const jsi::Value *args, jsi::Runtime &runtime) { - return std::make_tuple(jsi_conversion::getValue(args[I], runtime)...); + return std::tuple{ + jsi_conversion::getValue(args[I], runtime)...}; } /** @@ -47,4 +49,52 @@ std::tuple createArgsTupleFromJsi(R (Model::*f)(Types...) const, return fillTupleFromArgs(std::index_sequence_for{}, args, runtime); } -} // namespace rnexecutorch::meta \ No newline at end of file + +// Free function overload used by visionHostFunction: accepts a dummy free +// function pointer whose parameter types (Rest...) are extracted by +// TailSignature and converted from JSI args. +template +std::tuple createArgsTupleFromJsi(void (*f)(Types...), + const jsi::Value *args, + jsi::Runtime &runtime) { + return fillTupleFromArgs(std::index_sequence_for{}, args, + runtime); +} + +// Extracts arity, return type, and argument types from a member function +// pointer at compile time. Used by visionHostFunction to determine the expected +// JS argument count and invoke the correct return path. +template struct FunctionTraits; + +template +struct FunctionTraits { + static constexpr std::size_t arity = sizeof...(Args); + using return_type = R; + using args_tuple = std::tuple; +}; + +template +struct FunctionTraits { + static constexpr std::size_t arity = sizeof...(Args); + using return_type = R; + using args_tuple = std::tuple; +}; + +// Strips the first two parameters (Runtime& and jsi::Value&) from a member +// function pointer and exposes the remaining types as a dummy free function. +// Used by visionHostFunction to parse only the tail JS args via +// createArgsTupleFromJsi, while frameData at args[0] is passed manually. +template struct TailSignature; + +template +struct TailSignature { + static void dummy(Rest...) {} +}; + +template +struct TailSignature { + static void dummy(Rest...) {} +}; +} // namespace rnexecutorch::meta diff --git a/packages/react-native-executorch/common/rnexecutorch/metaprogramming/TypeConcepts.h b/packages/react-native-executorch/common/rnexecutorch/metaprogramming/TypeConcepts.h index 85a3db449..2d7612f25 100644 --- a/packages/react-native-executorch/common/rnexecutorch/metaprogramming/TypeConcepts.h +++ b/packages/react-native-executorch/common/rnexecutorch/metaprogramming/TypeConcepts.h @@ -16,6 +16,21 @@ concept HasGenerate = requires(T t) { { &T::generate }; }; +template +concept HasGenerateFromString = requires(T t) { + { &T::generateFromString }; +}; + +template +concept HasGenerateFromPixels = requires(T t) { + { &T::generateFromPixels }; +}; + +template +concept HasGenerateFromFrame = requires(T t) { + { &T::generateFromFrame }; +}; + template concept HasEncode = requires(T t) { { &T::encode }; diff --git a/packages/react-native-executorch/common/rnexecutorch/models/VisionModel.cpp b/packages/react-native-executorch/common/rnexecutorch/models/VisionModel.cpp new file mode 100644 index 000000000..b88310e12 --- /dev/null +++ b/packages/react-native-executorch/common/rnexecutorch/models/VisionModel.cpp @@ -0,0 +1,53 @@ +#include "VisionModel.h" +#include +#include +#include +#include + +namespace rnexecutorch::models { + +using namespace facebook; + +cv::Mat VisionModel::extractFromFrame(jsi::Runtime &runtime, + const jsi::Value &frameData) const { + auto frameObj = frameData.asObject(runtime); + return ::rnexecutorch::utils::extractFrame(runtime, frameObj); +} + +cv::Mat VisionModel::extractFromPixels(const JSTensorViewIn &tensorView) const { + if (tensorView.sizes.size() != 3) { + char errorMessage[100]; + std::snprintf(errorMessage, sizeof(errorMessage), + "Invalid pixel data: sizes must have 3 elements " + "[height, width, channels], got %zu", + tensorView.sizes.size()); + throw RnExecutorchError(RnExecutorchErrorCode::InvalidUserInput, + errorMessage); + } + + int32_t height = tensorView.sizes[0]; + int32_t width = tensorView.sizes[1]; + int32_t channels = tensorView.sizes[2]; + + if (channels != 3) { + char errorMessage[100]; + std::snprintf(errorMessage, sizeof(errorMessage), + "Invalid pixel data: expected 3 channels (RGB), got %d", + channels); + throw RnExecutorchError(RnExecutorchErrorCode::InvalidUserInput, + errorMessage); + } + + if (tensorView.scalarType != ScalarType::Byte) { + throw RnExecutorchError( + RnExecutorchErrorCode::InvalidUserInput, + "Invalid pixel data: scalarType must be BYTE (Uint8Array)"); + } + + uint8_t *dataPtr = static_cast(tensorView.dataPtr); + cv::Mat image(height, width, CV_8UC3, dataPtr); + + return image; +} + +} // namespace rnexecutorch::models diff --git a/packages/react-native-executorch/common/rnexecutorch/models/VisionModel.h b/packages/react-native-executorch/common/rnexecutorch/models/VisionModel.h new file mode 100644 index 000000000..4828f2657 --- /dev/null +++ b/packages/react-native-executorch/common/rnexecutorch/models/VisionModel.h @@ -0,0 +1,154 @@ +#pragma once + +#include +#include +#include +#include +#include + +namespace rnexecutorch { +namespace models { + +/** + * @brief Base class for computer vision models that support real-time camera + * input + * + * VisionModel extends BaseModel with thread-safe inference and automatic frame + * extraction from VisionCamera. This class is designed for models that need to + * process camera frames in real-time (e.g., at 30fps). + * + * Thread Safety: + * - All inference operations are protected by a mutex via scoped_lock + * + * Usage: + * Subclasses should: + * 1. Inherit from VisionModel instead of BaseModel + * 2. Implement preprocessFrame() with model-specific preprocessing + * 3. Delegate to runInference() which handles locking internally + * + * Example: + * @code + * class Classification : public VisionModel { + * public: + * std::unordered_map + * generateFromFrame(jsi::Runtime& runtime, const jsi::Value& frameValue) { + * auto frameObject = frameValue.asObject(runtime); + * cv::Mat frame = utils::extractFrame(runtime, frameObject); + * return runInference(frame); + * } + * }; + * @endcode + */ +class VisionModel : public BaseModel { +public: + /** + * @brief Construct a VisionModel with the same parameters as BaseModel + * + * VisionModel uses the same construction pattern as BaseModel, just adding + * thread-safety on top. + */ + VisionModel(const std::string &modelSource, + std::shared_ptr callInvoker) + : BaseModel(modelSource, callInvoker) {} + + virtual ~VisionModel() = default; + +protected: + /** + * @brief Mutex to ensure thread-safe inference + * + * This mutex protects against race conditions when: + * - generateFromFrame() is called from VisionCamera worklet thread (30fps) + * - generate() is called from JavaScript thread simultaneously + * + * Usage guidelines: + * - Use std::scoped_lock for blocking operations (JS API can wait) + * - Use try_lock() for non-blocking operations (camera should skip frames) + * + * @note Marked mutable to allow locking in const methods if needed + */ + mutable std::mutex inference_mutex_; + + /** + * @brief Preprocess a camera frame for model input + * + * This method should implement model-specific preprocessing such as: + * - Resizing to the model's expected input size + * - Color space conversion (e.g., BGR to RGB) + * - Normalization + * - Any other model-specific transformations + * + * @param frame Input frame from camera (already extracted and rotated by + * FrameExtractor) + * @return Preprocessed cv::Mat ready for tensor conversion + * + * @note The input frame is already in RGB format and rotated 90° clockwise + * @note This method is called under mutex protection in generateFromFrame() + */ + virtual cv::Mat preprocessFrame(const cv::Mat &frame) const = 0; + + /** + * @brief Extract and preprocess frame from VisionCamera in one call + * + * This is a convenience method that combines frame extraction and + * preprocessing. It handles both nativeBuffer (zero-copy) and ArrayBuffer + * paths automatically. + * + * @param runtime JSI runtime + * @param frameData JSI value containing frame data from VisionCamera + * + * @return Preprocessed cv::Mat ready for tensor conversion + * + * @throws std::runtime_error if frame extraction fails + * + * @note This method does NOT acquire the inference mutex - caller is + * responsible + * @note Typical usage: + * @code + * cv::Mat preprocessed = extractFromFrame(runtime, frameData); + * auto tensor = image_processing::getTensorFromMatrix(dims, preprocessed); + * @endcode + */ + cv::Mat extractFromFrame(jsi::Runtime &runtime, + const jsi::Value &frameData) const; + + /** + * @brief Extract cv::Mat from raw pixel data (TensorPtr) sent from + * JavaScript + * + * This method enables users to run inference on raw pixel data without file + * I/O. Useful for processing images already in memory (e.g., from canvas, + * image library). + * + * @param tensorView JSTensorViewIn containing: + * - dataPtr: Pointer to raw pixel values (RGB format) + * - sizes: [height, width, channels] - must be 3D + * - scalarType: Must be ScalarType::Byte (Uint8Array) + * + * @return cv::Mat containing the pixel data + * + * @throws RnExecutorchError if tensorView format is invalid + * + * @note The returned cv::Mat owns a copy of the data + * @note Expected pixel format: RGB (3 channels), row-major order + * @note Typical usage from JS: + * @code + * const pixels = new Uint8Array([...]); // Raw RGB pixel data + * const result = model.generateFromPixels({ + * dataPtr: pixels, + * sizes: [480, 640, 3], + * scalarType: ScalarType.BYTE + * }, 0.5); + * @endcode + */ + cv::Mat extractFromPixels(const JSTensorViewIn &tensorView) const; +}; + +} // namespace models +// Register VisionModel constructor traits +// Even though VisionModel is abstract, the metaprogramming system needs to know +// its constructor signature for derived classes +REGISTER_CONSTRUCTOR(models::VisionModel, std::string, + std::shared_ptr); + +} // namespace rnexecutorch diff --git a/packages/react-native-executorch/common/rnexecutorch/models/object_detection/ObjectDetection.cpp b/packages/react-native-executorch/common/rnexecutorch/models/object_detection/ObjectDetection.cpp index 8b5bc022f..2670cf9dd 100644 --- a/packages/react-native-executorch/common/rnexecutorch/models/object_detection/ObjectDetection.cpp +++ b/packages/react-native-executorch/common/rnexecutorch/models/object_detection/ObjectDetection.cpp @@ -2,14 +2,17 @@ #include #include +#include #include +#include +#include namespace rnexecutorch::models::object_detection { ObjectDetection::ObjectDetection( const std::string &modelSource, std::shared_ptr callInvoker) - : BaseModel(modelSource, callInvoker) { + : VisionModel(modelSource, callInvoker) { auto inputTensors = getAllInputShapes(); if (inputTensors.size() == 0) { throw RnExecutorchError(RnExecutorchErrorCode::UnexpectedNumInputs, @@ -29,14 +32,42 @@ ObjectDetection::ObjectDetection( modelInputShape[modelInputShape.size() - 2]); } +cv::Mat ObjectDetection::preprocessFrame(const cv::Mat &frame) const { + const std::vector tensorDims = getAllInputShapes()[0]; + cv::Size tensorSize = cv::Size(tensorDims[tensorDims.size() - 1], + tensorDims[tensorDims.size() - 2]); + + cv::Mat rgb; + + if (frame.channels() == 4) { +#ifdef __APPLE__ + cv::cvtColor(frame, rgb, cv::COLOR_BGRA2RGB); +#else + cv::cvtColor(frame, rgb, cv::COLOR_RGBA2RGB); +#endif + } else if (frame.channels() == 3) { + rgb = frame; + } else { + char errorMessage[100]; + std::snprintf(errorMessage, sizeof(errorMessage), + "Unsupported frame format: %d channels", frame.channels()); + throw RnExecutorchError(RnExecutorchErrorCode::InvalidUserInput, + errorMessage); + } + + // Only resize if dimensions don't match + if (rgb.size() != tensorSize) { + cv::Mat resized; + cv::resize(rgb, resized, tensorSize); + return resized; + } + + return rgb; +} + std::vector ObjectDetection::postprocess(const std::vector &tensors, cv::Size originalSize, double detectionThreshold) { - if (detectionThreshold <= 0 || detectionThreshold > 1) { - throw RnExecutorchError(RnExecutorchErrorCode::InvalidConfig, - "Detection threshold must be greater than 0 " - "and less than or equal to 1."); - } float widthRatio = static_cast(originalSize.width) / modelImageSize.width; float heightRatio = @@ -70,14 +101,23 @@ ObjectDetection::postprocess(const std::vector &tensors, scores[i]); } - std::vector output = utils::nonMaxSuppression(detections); - return output; + return utils::nonMaxSuppression(detections); } std::vector -ObjectDetection::generate(std::string imageSource, double detectionThreshold) { - auto [inputTensor, originalSize] = - image_processing::readImageToTensor(imageSource, getAllInputShapes()[0]); +ObjectDetection::runInference(cv::Mat image, double detectionThreshold) { + if (detectionThreshold < 0.0 || detectionThreshold > 1.0) { + throw RnExecutorchError(RnExecutorchErrorCode::InvalidUserInput, + "detectionThreshold must be in range [0, 1]"); + } + std::scoped_lock lock(inference_mutex_); + + cv::Size originalSize = image.size(); + cv::Mat preprocessed = preprocessFrame(image); + + const std::vector tensorDims = getAllInputShapes()[0]; + auto inputTensor = + image_processing::getTensorFromMatrix(tensorDims, preprocessed); auto forwardResult = BaseModel::forward(inputTensor); if (!forwardResult.ok()) { @@ -88,4 +128,33 @@ ObjectDetection::generate(std::string imageSource, double detectionThreshold) { return postprocess(forwardResult.get(), originalSize, detectionThreshold); } -} // namespace rnexecutorch::models::object_detection + +std::vector +ObjectDetection::generateFromString(std::string imageSource, + double detectionThreshold) { + cv::Mat imageBGR = image_processing::readImage(imageSource); + + cv::Mat imageRGB; + cv::cvtColor(imageBGR, imageRGB, cv::COLOR_BGR2RGB); + + return runInference(imageRGB, detectionThreshold); +} + +std::vector +ObjectDetection::generateFromFrame(jsi::Runtime &runtime, + const jsi::Value &frameData, + double detectionThreshold) { + auto frameObj = frameData.asObject(runtime); + cv::Mat frame = rnexecutorch::utils::extractFrame(runtime, frameObj); + + return runInference(frame, detectionThreshold); +} + +std::vector +ObjectDetection::generateFromPixels(JSTensorViewIn pixelData, + double detectionThreshold) { + cv::Mat image = extractFromPixels(pixelData); + + return runInference(image, detectionThreshold); +} +} // namespace rnexecutorch::models::object_detection \ No newline at end of file diff --git a/packages/react-native-executorch/common/rnexecutorch/models/object_detection/ObjectDetection.h b/packages/react-native-executorch/common/rnexecutorch/models/object_detection/ObjectDetection.h index bba09a6d8..d32eea95e 100644 --- a/packages/react-native-executorch/common/rnexecutorch/models/object_detection/ObjectDetection.h +++ b/packages/react-native-executorch/common/rnexecutorch/models/object_detection/ObjectDetection.h @@ -8,7 +8,7 @@ #include "Types.h" #include "rnexecutorch/metaprogramming/ConstructorHelpers.h" -#include +#include #include namespace rnexecutorch { @@ -16,12 +16,22 @@ namespace models::object_detection { using executorch::extension::TensorPtr; using executorch::runtime::EValue; -class ObjectDetection : public BaseModel { +class ObjectDetection : public VisionModel { public: ObjectDetection(const std::string &modelSource, std::shared_ptr callInvoker); [[nodiscard("Registered non-void function")]] std::vector - generate(std::string imageSource, double detectionThreshold); + generateFromString(std::string imageSource, double detectionThreshold); + [[nodiscard("Registered non-void function")]] std::vector + generateFromFrame(jsi::Runtime &runtime, const jsi::Value &frameData, + double detectionThreshold); + [[nodiscard("Registered non-void function")]] std::vector + generateFromPixels(JSTensorViewIn pixelData, double detectionThreshold); + +protected: + std::vector runInference(cv::Mat image, + double detectionThreshold); + cv::Mat preprocessFrame(const cv::Mat &frame) const override; private: std::vector postprocess(const std::vector &tensors, diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/CMakeLists.txt b/packages/react-native-executorch/common/rnexecutorch/tests/CMakeLists.txt index e2a8c16bf..c45ab9107 100644 --- a/packages/react-native-executorch/common/rnexecutorch/tests/CMakeLists.txt +++ b/packages/react-native-executorch/common/rnexecutorch/tests/CMakeLists.txt @@ -156,8 +156,11 @@ add_rn_test(ObjectDetectionTests integration/ObjectDetectionTest.cpp SOURCES ${RNEXECUTORCH_DIR}/models/object_detection/ObjectDetection.cpp ${RNEXECUTORCH_DIR}/models/object_detection/Utils.cpp + ${RNEXECUTORCH_DIR}/models/VisionModel.cpp + ${RNEXECUTORCH_DIR}/utils/FrameProcessor.cpp + ${RNEXECUTORCH_DIR}/utils/FrameExtractor.cpp ${IMAGE_UTILS_SOURCES} - LIBS opencv_deps + LIBS opencv_deps android ) add_rn_test(ImageEmbeddingsTests integration/ImageEmbeddingsTest.cpp diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/integration/ObjectDetectionTest.cpp b/packages/react-native-executorch/common/rnexecutorch/tests/integration/ObjectDetectionTest.cpp index ae80208a6..76c838ca1 100644 --- a/packages/react-native-executorch/common/rnexecutorch/tests/integration/ObjectDetectionTest.cpp +++ b/packages/react-native-executorch/common/rnexecutorch/tests/integration/ObjectDetectionTest.cpp @@ -1,6 +1,8 @@ #include "BaseModelTests.h" +#include #include #include +#include #include #include @@ -29,7 +31,7 @@ template <> struct ModelTraits { } static void callGenerate(ModelType &model) { - (void)model.generate(kValidTestImagePath, 0.5); + (void)model.generateFromString(kValidTestImagePath, 0.5); } }; } // namespace model_tests @@ -43,49 +45,50 @@ INSTANTIATE_TYPED_TEST_SUITE_P(ObjectDetection, CommonModelTest, // ============================================================================ TEST(ObjectDetectionGenerateTests, InvalidImagePathThrows) { ObjectDetection model(kValidObjectDetectionModelPath, nullptr); - EXPECT_THROW((void)model.generate("nonexistent_image.jpg", 0.5), + EXPECT_THROW((void)model.generateFromString("nonexistent_image.jpg", 0.5), RnExecutorchError); } TEST(ObjectDetectionGenerateTests, EmptyImagePathThrows) { ObjectDetection model(kValidObjectDetectionModelPath, nullptr); - EXPECT_THROW((void)model.generate("", 0.5), RnExecutorchError); + EXPECT_THROW((void)model.generateFromString("", 0.5), RnExecutorchError); } TEST(ObjectDetectionGenerateTests, MalformedURIThrows) { ObjectDetection model(kValidObjectDetectionModelPath, nullptr); - EXPECT_THROW((void)model.generate("not_a_valid_uri://bad", 0.5), + EXPECT_THROW((void)model.generateFromString("not_a_valid_uri://bad", 0.5), RnExecutorchError); } TEST(ObjectDetectionGenerateTests, NegativeThresholdThrows) { ObjectDetection model(kValidObjectDetectionModelPath, nullptr); - EXPECT_THROW((void)model.generate(kValidTestImagePath, -0.1), + EXPECT_THROW((void)model.generateFromString(kValidTestImagePath, -0.1), RnExecutorchError); } TEST(ObjectDetectionGenerateTests, ThresholdAboveOneThrows) { ObjectDetection model(kValidObjectDetectionModelPath, nullptr); - EXPECT_THROW((void)model.generate(kValidTestImagePath, 1.1), + EXPECT_THROW((void)model.generateFromString(kValidTestImagePath, 1.1), RnExecutorchError); } TEST(ObjectDetectionGenerateTests, ValidImageReturnsResults) { ObjectDetection model(kValidObjectDetectionModelPath, nullptr); - auto results = model.generate(kValidTestImagePath, 0.3); + auto results = model.generateFromString(kValidTestImagePath, 0.3); EXPECT_GE(results.size(), 0u); } TEST(ObjectDetectionGenerateTests, HighThresholdReturnsFewerResults) { ObjectDetection model(kValidObjectDetectionModelPath, nullptr); - auto lowThresholdResults = model.generate(kValidTestImagePath, 0.1); - auto highThresholdResults = model.generate(kValidTestImagePath, 0.9); + auto lowThresholdResults = model.generateFromString(kValidTestImagePath, 0.1); + auto highThresholdResults = + model.generateFromString(kValidTestImagePath, 0.9); EXPECT_GE(lowThresholdResults.size(), highThresholdResults.size()); } TEST(ObjectDetectionGenerateTests, DetectionsHaveValidBoundingBoxes) { ObjectDetection model(kValidObjectDetectionModelPath, nullptr); - auto results = model.generate(kValidTestImagePath, 0.3); + auto results = model.generateFromString(kValidTestImagePath, 0.3); for (const auto &detection : results) { EXPECT_LE(detection.x1, detection.x2); @@ -97,7 +100,7 @@ TEST(ObjectDetectionGenerateTests, DetectionsHaveValidBoundingBoxes) { TEST(ObjectDetectionGenerateTests, DetectionsHaveValidScores) { ObjectDetection model(kValidObjectDetectionModelPath, nullptr); - auto results = model.generate(kValidTestImagePath, 0.3); + auto results = model.generateFromString(kValidTestImagePath, 0.3); for (const auto &detection : results) { EXPECT_GE(detection.score, 0.0f); @@ -107,13 +110,80 @@ TEST(ObjectDetectionGenerateTests, DetectionsHaveValidScores) { TEST(ObjectDetectionGenerateTests, DetectionsHaveValidLabels) { ObjectDetection model(kValidObjectDetectionModelPath, nullptr); - auto results = model.generate(kValidTestImagePath, 0.3); + auto results = model.generateFromString(kValidTestImagePath, 0.3); for (const auto &detection : results) { EXPECT_GE(detection.label, 0); } } +// ============================================================================ +// generateFromPixels tests +// ============================================================================ +TEST(ObjectDetectionPixelTests, ValidPixelDataReturnsResults) { + ObjectDetection model(kValidObjectDetectionModelPath, nullptr); + constexpr int32_t width = 4, height = 4, channels = 3; + std::vector pixelData(width * height * channels, 128); + JSTensorViewIn tensorView{pixelData.data(), + {height, width, channels}, + executorch::aten::ScalarType::Byte}; + auto results = model.generateFromPixels(tensorView, 0.3); + EXPECT_GE(results.size(), 0u); +} + +TEST(ObjectDetectionPixelTests, WrongSizesLengthThrows) { + ObjectDetection model(kValidObjectDetectionModelPath, nullptr); + std::vector pixelData(16, 0); + JSTensorViewIn tensorView{ + pixelData.data(), {4, 4}, executorch::aten::ScalarType::Byte}; + EXPECT_THROW((void)model.generateFromPixels(tensorView, 0.5), + RnExecutorchError); +} + +TEST(ObjectDetectionPixelTests, WrongChannelCountThrows) { + ObjectDetection model(kValidObjectDetectionModelPath, nullptr); + constexpr int32_t width = 4, height = 4, channels = 4; + std::vector pixelData(width * height * channels, 0); + JSTensorViewIn tensorView{pixelData.data(), + {height, width, channels}, + executorch::aten::ScalarType::Byte}; + EXPECT_THROW((void)model.generateFromPixels(tensorView, 0.5), + RnExecutorchError); +} + +TEST(ObjectDetectionPixelTests, WrongScalarTypeThrows) { + ObjectDetection model(kValidObjectDetectionModelPath, nullptr); + constexpr int32_t width = 4, height = 4, channels = 3; + std::vector pixelData(width * height * channels, 0); + JSTensorViewIn tensorView{pixelData.data(), + {height, width, channels}, + executorch::aten::ScalarType::Float}; + EXPECT_THROW((void)model.generateFromPixels(tensorView, 0.5), + RnExecutorchError); +} + +TEST(ObjectDetectionPixelTests, NegativeThresholdThrows) { + ObjectDetection model(kValidObjectDetectionModelPath, nullptr); + constexpr int32_t width = 4, height = 4, channels = 3; + std::vector pixelData(width * height * channels, 128); + JSTensorViewIn tensorView{pixelData.data(), + {height, width, channels}, + executorch::aten::ScalarType::Byte}; + EXPECT_THROW((void)model.generateFromPixels(tensorView, -0.1), + RnExecutorchError); +} + +TEST(ObjectDetectionPixelTests, ThresholdAboveOneThrows) { + ObjectDetection model(kValidObjectDetectionModelPath, nullptr); + constexpr int32_t width = 4, height = 4, channels = 3; + std::vector pixelData(width * height * channels, 128); + JSTensorViewIn tensorView{pixelData.data(), + {height, width, channels}, + executorch::aten::ScalarType::Byte}; + EXPECT_THROW((void)model.generateFromPixels(tensorView, 1.1), + RnExecutorchError); +} + TEST(ObjectDetectionInheritedTests, GetInputShapeWorks) { ObjectDetection model(kValidObjectDetectionModelPath, nullptr); auto shape = model.getInputShape("forward", 0); diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/integration/stubs/jsi_stubs.cpp b/packages/react-native-executorch/common/rnexecutorch/tests/integration/stubs/jsi_stubs.cpp index 39b8ae09c..897a2778e 100644 --- a/packages/react-native-executorch/common/rnexecutorch/tests/integration/stubs/jsi_stubs.cpp +++ b/packages/react-native-executorch/common/rnexecutorch/tests/integration/stubs/jsi_stubs.cpp @@ -14,6 +14,14 @@ namespace facebook::jsi { MutableBuffer::~MutableBuffer() {} Value::~Value() {} Value::Value(Value &&other) noexcept {} + +// Needed to link ObjectDetectionTests: generateFromFrame and FrameProcessor +// pull in these JSI symbols, but they are never called in tests. +Object Value::asObject(Runtime &) const & { __builtin_unreachable(); } +BigInt Value::asBigInt(Runtime &) const & { __builtin_unreachable(); } + +uint64_t BigInt::asUint64(Runtime &) const { return 0; } + } // namespace facebook::jsi namespace facebook::react { diff --git a/packages/react-native-executorch/common/rnexecutorch/utils/FrameExtractor.cpp b/packages/react-native-executorch/common/rnexecutorch/utils/FrameExtractor.cpp new file mode 100644 index 000000000..baae35dc3 --- /dev/null +++ b/packages/react-native-executorch/common/rnexecutorch/utils/FrameExtractor.cpp @@ -0,0 +1,114 @@ +#include "FrameExtractor.h" +#include +#include +#include + +#ifdef __APPLE__ +#import +#endif + +#if defined(__ANDROID__) && __ANDROID_API__ >= 26 +#include +#endif + +namespace rnexecutorch::utils { + +namespace { + +#ifdef __APPLE__ +cv::Mat extractFromCVPixelBuffer(void *pixelBuffer) { + CVPixelBufferRef buffer = static_cast(pixelBuffer); + + size_t width = CVPixelBufferGetWidth(buffer); + size_t height = CVPixelBufferGetHeight(buffer); + size_t bytesPerRow = CVPixelBufferGetBytesPerRow(buffer); + OSType pixelFormat = CVPixelBufferGetPixelFormatType(buffer); + + CVPixelBufferLockBaseAddress(buffer, kCVPixelBufferLock_ReadOnly); + void *baseAddress = CVPixelBufferGetBaseAddress(buffer); + + cv::Mat mat; + + if (pixelFormat == kCVPixelFormatType_32BGRA) { + mat = cv::Mat(static_cast(height), static_cast(width), CV_8UC4, + baseAddress, bytesPerRow); + } else if (pixelFormat == kCVPixelFormatType_32RGBA) { + mat = cv::Mat(static_cast(height), static_cast(width), CV_8UC4, + baseAddress, bytesPerRow); + } else if (pixelFormat == kCVPixelFormatType_24RGB) { + mat = cv::Mat(static_cast(height), static_cast(width), CV_8UC3, + baseAddress, bytesPerRow); + } else { + CVPixelBufferUnlockBaseAddress(buffer, kCVPixelBufferLock_ReadOnly); + char errorMessage[100]; + std::snprintf(errorMessage, sizeof(errorMessage), + "Unsupported CVPixelBuffer format: %u", pixelFormat); + throw RnExecutorchError(RnExecutorchErrorCode::PlatformNotSupported, + errorMessage); + } + + // Note: We don't unlock here - Vision Camera manages the lifecycle + // When frame.dispose() is called, Vision Camera will unlock and release + + return mat; +} +#endif + +#ifdef __ANDROID__ +cv::Mat extractFromAHardwareBuffer(void *hardwareBuffer) { +#if __ANDROID_API__ >= 26 + AHardwareBuffer *buffer = static_cast(hardwareBuffer); + + AHardwareBuffer_Desc desc; + AHardwareBuffer_describe(buffer, &desc); + + void *data = nullptr; + int lockResult = AHardwareBuffer_lock( + buffer, AHARDWAREBUFFER_USAGE_CPU_READ_OFTEN, -1, nullptr, &data); + + if (lockResult != 0) { + throw RnExecutorchError(RnExecutorchErrorCode::UnknownError, + "Failed to lock AHardwareBuffer"); + } + + cv::Mat mat; + + if (desc.format == AHARDWAREBUFFER_FORMAT_R8G8B8A8_UNORM) { + mat = cv::Mat(desc.height, desc.width, CV_8UC4, data, desc.stride * 4); + } else if (desc.format == AHARDWAREBUFFER_FORMAT_R8G8B8X8_UNORM) { + mat = cv::Mat(desc.height, desc.width, CV_8UC4, data, desc.stride * 4); + } else if (desc.format == AHARDWAREBUFFER_FORMAT_R8G8B8_UNORM) { + mat = cv::Mat(desc.height, desc.width, CV_8UC3, data, desc.stride * 3); + } else { + AHardwareBuffer_unlock(buffer, nullptr); + char errorMessage[100]; + std::snprintf(errorMessage, sizeof(errorMessage), + "Unsupported AHardwareBuffer format: %u", desc.format); + throw RnExecutorchError(RnExecutorchErrorCode::PlatformNotSupported, + errorMessage); + } + + // Note: We don't unlock here - Vision Camera manages the lifecycle + + return mat; +#else + throw RnExecutorchError(RnExecutorchErrorCode::PlatformNotSupported, + "AHardwareBuffer requires Android API 26+"); +#endif // __ANDROID_API__ >= 26 +} +#endif + +} // namespace + +cv::Mat extractFromNativeBuffer(uint64_t bufferPtr) { +#ifdef __APPLE__ + return extractFromCVPixelBuffer(reinterpret_cast(bufferPtr)); +#elif defined(__ANDROID__) + return extractFromAHardwareBuffer(reinterpret_cast(bufferPtr)); +#else + throw RnExecutorchError(RnExecutorchErrorCode::PlatformNotSupported, + "NativeBuffer not supported on this platform"); +#endif +} + +} // namespace rnexecutorch::utils diff --git a/packages/react-native-executorch/common/rnexecutorch/utils/FrameExtractor.h b/packages/react-native-executorch/common/rnexecutorch/utils/FrameExtractor.h new file mode 100644 index 000000000..f5d7c2094 --- /dev/null +++ b/packages/react-native-executorch/common/rnexecutorch/utils/FrameExtractor.h @@ -0,0 +1,25 @@ +#pragma once + +#include +#include + +namespace rnexecutorch::utils { + +/** + * @brief Extract cv::Mat from a native platform buffer pointer (zero-copy) + * + * Dispatches to the platform-specific implementation: + * - iOS: CVPixelBufferRef + * - Android: AHardwareBuffer + * + * @param bufferPtr Platform-specific buffer pointer (uint64_t) + * @return cv::Mat wrapping the buffer data (zero-copy) + * + * @throws RnExecutorchError if the platform is unsupported or extraction fails + * + * @note The returned cv::Mat does not own the data. + * Caller must ensure the buffer remains valid during use. + */ +cv::Mat extractFromNativeBuffer(uint64_t bufferPtr); + +} // namespace rnexecutorch::utils diff --git a/packages/react-native-executorch/common/rnexecutorch/utils/FrameProcessor.cpp b/packages/react-native-executorch/common/rnexecutorch/utils/FrameProcessor.cpp new file mode 100644 index 000000000..30238ad5c --- /dev/null +++ b/packages/react-native-executorch/common/rnexecutorch/utils/FrameProcessor.cpp @@ -0,0 +1,28 @@ +#include "FrameProcessor.h" +#include "FrameExtractor.h" +#include +#include + +namespace rnexecutorch::utils { + +namespace { + +bool hasNativeBuffer(jsi::Runtime &runtime, const jsi::Object &frameData) { + return frameData.hasProperty(runtime, "nativeBuffer"); +} + +} // namespace + +cv::Mat extractFrame(jsi::Runtime &runtime, const jsi::Object &frameData) { + if (!hasNativeBuffer(runtime, frameData)) { + throw RnExecutorchError(RnExecutorchErrorCode::InvalidUserInput, + "FrameProcessor: No nativeBuffer found in frame"); + } + + auto nativeBufferValue = frameData.getProperty(runtime, "nativeBuffer"); + uint64_t bufferPtr = static_cast( + nativeBufferValue.asBigInt(runtime).asUint64(runtime)); + + return extractFromNativeBuffer(bufferPtr); +} +} // namespace rnexecutorch::utils diff --git a/packages/react-native-executorch/common/rnexecutorch/utils/FrameProcessor.h b/packages/react-native-executorch/common/rnexecutorch/utils/FrameProcessor.h new file mode 100644 index 000000000..403f4bde9 --- /dev/null +++ b/packages/react-native-executorch/common/rnexecutorch/utils/FrameProcessor.h @@ -0,0 +1,27 @@ +#pragma once + +#include +#include + +namespace rnexecutorch::utils { + +using namespace facebook; + +/** + * @brief Extract cv::Mat from VisionCamera frame data via nativeBuffer + * + * @param runtime JSI runtime + * @param frameData JSI object containing frame data from VisionCamera + * Expected properties: + * - nativeBuffer: BigInt pointer to native buffer + * + * @return cv::Mat wrapping the frame data (zero-copy) + * + * @throws RnExecutorchError if nativeBuffer is not present or extraction fails + * + * @note The returned cv::Mat does not own the data. + * Caller must ensure the source frame remains valid during use. + */ +cv::Mat extractFrame(jsi::Runtime &runtime, const jsi::Object &frameData); + +} // namespace rnexecutorch::utils diff --git a/packages/react-native-executorch/src/errors/ErrorCodes.ts b/packages/react-native-executorch/src/errors/ErrorCodes.ts index 3e4e557a1..4ccb1f07f 100644 --- a/packages/react-native-executorch/src/errors/ErrorCodes.ts +++ b/packages/react-native-executorch/src/errors/ErrorCodes.ts @@ -58,6 +58,10 @@ export enum RnExecutorchErrorCode { * Thrown when the number of downloaded files is unexpected, due to download interruptions. */ DownloadInterrupted = 118, + /** + * Thrown when a feature or platform is not supported in the current environment. + */ + PlatformNotSupported = 119, /** * Thrown when an error occurs with the tokenizer or tokenization process. */ diff --git a/packages/react-native-executorch/src/hooks/computer_vision/useObjectDetection.ts b/packages/react-native-executorch/src/hooks/computer_vision/useObjectDetection.ts index 2d52eb706..27be7478c 100644 --- a/packages/react-native-executorch/src/hooks/computer_vision/useObjectDetection.ts +++ b/packages/react-native-executorch/src/hooks/computer_vision/useObjectDetection.ts @@ -15,9 +15,10 @@ import { export const useObjectDetection = ({ model, preventLoad = false, -}: ObjectDetectionProps): ObjectDetectionType => - useModule({ +}: ObjectDetectionProps): ObjectDetectionType => { + return useModule({ module: ObjectDetectionModule, model, preventLoad: preventLoad, }); +}; diff --git a/packages/react-native-executorch/src/hooks/useModule.ts b/packages/react-native-executorch/src/hooks/useModule.ts index 1a35885d5..cc1fc1ef2 100644 --- a/packages/react-native-executorch/src/hooks/useModule.ts +++ b/packages/react-native-executorch/src/hooks/useModule.ts @@ -2,6 +2,8 @@ import { useEffect, useState } from 'react'; import { RnExecutorchErrorCode } from '../errors/ErrorCodes'; import { RnExecutorchError, parseUnknownError } from '../errors/errorUtils'; +type RunOnFrame = M extends { runOnFrame: infer R } ? R : never; + interface Module { load: (...args: any[]) => Promise; forward: (...args: any[]) => Promise; @@ -31,6 +33,7 @@ export const useModule = < const [isGenerating, setIsGenerating] = useState(false); const [downloadProgress, setDownloadProgress] = useState(0); const [moduleInstance] = useState(() => new module()); + const [runOnFrame, setRunOnFrame] = useState | null>(null); useEffect(() => { if (preventLoad) return; @@ -46,6 +49,26 @@ export const useModule = < if (isMounted) setDownloadProgress(progress); }); if (isMounted) setIsReady(true); + + // VisionCamera worklets run on a separate JS thread and can only capture + // serializable values (plain functions, primitives). The module instance + // is a class object and is not serializable, so accessing runOnFrame + // directly inside a worklet would fail at runtime. + // + // By extracting the method and storing it in React state, it becomes a + // standalone function reference that the worklet thread can capture and + // call safely. + // + // Note: setState(fn) triggers React's updater form — it calls fn(prevState) + // and stores the return value, not fn itself. Since runOnFrame is a function, + // we wrap it: setState(() => worklet) so React stores the worklet as the + // state value rather than invoking it. + if ('runOnFrame' in moduleInstance) { + const worklet = moduleInstance.runOnFrame as RunOnFrame; + if (worklet) { + setRunOnFrame(() => worklet); + } + } } catch (err) { if (isMounted) setError(parseUnknownError(err)); } @@ -99,5 +122,32 @@ export const useModule = < */ downloadProgress, forward, + + /** + * Synchronous worklet function for real-time VisionCamera frame processing. + * Automatically handles native buffer extraction and cleanup. + * + * Only available for Computer Vision modules that support real-time frame processing + * (e.g., ObjectDetection, Classification, ImageSegmentation). + * Returns `null` if the module doesn't implement frame processing. + * + * **Use this for VisionCamera frame processing in worklets.** + * For async processing, use `forward()` instead. + * + * @example + * ```typescript + * const { runOnFrame } = useObjectDetection({ model: MODEL }); + * + * const frameOutput = useFrameOutput({ + * onFrame(frame) { + * 'worklet'; + * if (!runOnFrame) return; + * const detections = runOnFrame(frame, 0.5); + * frame.dispose(); + * } + * }); + * ``` + */ + runOnFrame, }; }; diff --git a/packages/react-native-executorch/src/modules/BaseModule.ts b/packages/react-native-executorch/src/modules/BaseModule.ts index 6aefc8b2a..41a2da6cf 100644 --- a/packages/react-native-executorch/src/modules/BaseModule.ts +++ b/packages/react-native-executorch/src/modules/BaseModule.ts @@ -1,12 +1,68 @@ -import { ResourceSource } from '../types/common'; +import { Frame, ResourceSource } from '../types/common'; import { TensorPtr } from '../types/common'; +/** + * Base class for all React Native Executorch modules. + * + * Provides core functionality for loading models, running inference, + * and managing native resources. + * + * @category Base Classes + */ export abstract class BaseModule { /** - * Native module instance + * Native module instance (JSI Host Object) + * @internal */ nativeModule: any = null; + /** + * Process a camera frame directly for real-time inference. + * + * This method is bound to a native JSI function after calling `load()`, + * making it worklet-compatible and safe to call from VisionCamera's + * frame processor thread. + * + * **Performance characteristics:** + * - **Zero-copy path**: When using `frame.getNativeBuffer()` from VisionCamera v5, + * frame data is accessed directly without copying (fastest, recommended). + * - **Copy path**: When using `frame.toArrayBuffer()`, pixel data is copied + * from native to JS, then accessed from native code (slower, fallback). + * + * **Usage with VisionCamera:** + * ```typescript + * const frameOutput = useFrameOutput({ + * pixelFormat: 'rgb', + * onFrame(frame) { + * 'worklet'; + * // Zero-copy approach (recommended) + * const nativeBuffer = frame.getNativeBuffer(); + * const result = model.generateFromFrame( + * { nativeBuffer: nativeBuffer.pointer, width: frame.width, height: frame.height }, + * ...args + * ); + * nativeBuffer.release(); + * frame.dispose(); + * } + * }); + * ``` + * + * @param frameData Frame data object with either nativeBuffer (zero-copy) or data (ArrayBuffer) + * @param args Additional model-specific arguments (e.g., threshold, options) + * @returns Model-specific output (e.g., detections, classifications, embeddings) + * + * @see {@link Frame} for frame data format details + */ + public generateFromFrame!: (frameData: Frame, ...args: any[]) => any; + + /** + * Load the model and prepare it for inference. + * + * @param modelSource - Resource location of the model binary + * @param onDownloadProgressCallback - Optional callback to monitor download progress (0-1) + * @param args - Additional model-specific loading arguments + */ + abstract load( modelSource: ResourceSource, onDownloadProgressCallback: (_: number) => void, @@ -19,6 +75,7 @@ export abstract class BaseModule { * * @param inputTensor - Array of input tensors. * @returns Array of output tensors. + * @internal */ protected async forwardET(inputTensor: TensorPtr[]): Promise { return await this.nativeModule.forward(inputTensor); @@ -36,7 +93,9 @@ export abstract class BaseModule { } /** - * Unloads the model from memory. + * Unloads the model from memory and releases native resources. + * + * Always call this method when you're done with a model to prevent memory leaks. */ delete() { if (this.nativeModule !== null) { diff --git a/packages/react-native-executorch/src/modules/computer_vision/ObjectDetectionModule.ts b/packages/react-native-executorch/src/modules/computer_vision/ObjectDetectionModule.ts index 95b9e436b..f056cff62 100644 --- a/packages/react-native-executorch/src/modules/computer_vision/ObjectDetectionModule.ts +++ b/packages/react-native-executorch/src/modules/computer_vision/ObjectDetectionModule.ts @@ -1,17 +1,17 @@ import { ResourceFetcher } from '../../utils/ResourceFetcher'; -import { ResourceSource } from '../../types/common'; +import { ResourceSource, PixelData } from '../../types/common'; import { Detection } from '../../types/objectDetection'; import { RnExecutorchErrorCode } from '../../errors/ErrorCodes'; import { parseUnknownError, RnExecutorchError } from '../../errors/errorUtils'; -import { BaseModule } from '../BaseModule'; import { Logger } from '../../common/Logger'; +import { VisionModule } from './VisionModule'; /** * Module for object detection tasks. * * @category Typescript API */ -export class ObjectDetectionModule extends BaseModule { +export class ObjectDetectionModule extends VisionModule { /** * Loads the model, where `modelSource` is a string that specifies the location of the model binary. * To track the download progress, supply a callback function `onDownloadProgressCallback`. @@ -43,23 +43,10 @@ export class ObjectDetectionModule extends BaseModule { } } - /** - * Executes the model's forward pass, where `imageSource` can be a fetchable resource or a Base64-encoded string. - * `detectionThreshold` can be supplied to alter the sensitivity of the detection. - * - * @param imageSource - The image source to be processed. - * @param detectionThreshold - The threshold for detection sensitivity. Default is 0.7. - * @returns An array of Detection objects representing detected items in the image. - */ async forward( - imageSource: string, - detectionThreshold: number = 0.7 + input: string | PixelData, + detectionThreshold: number = 0.5 ): Promise { - if (this.nativeModule == null) - throw new RnExecutorchError( - RnExecutorchErrorCode.ModuleNotLoaded, - 'The model is currently not loaded. Please load the model before calling forward().' - ); - return await this.nativeModule.generate(imageSource, detectionThreshold); + return super.forward(input, detectionThreshold); } } diff --git a/packages/react-native-executorch/src/modules/computer_vision/VisionModule.ts b/packages/react-native-executorch/src/modules/computer_vision/VisionModule.ts new file mode 100644 index 000000000..762d09987 --- /dev/null +++ b/packages/react-native-executorch/src/modules/computer_vision/VisionModule.ts @@ -0,0 +1,143 @@ +import { BaseModule } from '../BaseModule'; +import { RnExecutorchErrorCode } from '../../errors/ErrorCodes'; +import { RnExecutorchError } from '../../errors/errorUtils'; +import { Frame, PixelData, ScalarType } from '../../types/common'; + +/** + * Base class for computer vision models that support multiple input types. + * + * VisionModule extends BaseModule with: + * - Unified `forward()` API accepting string paths or raw pixel data + * - `runOnFrame` getter for real-time VisionCamera frame processing + * - Shared frame processor creation logic + * + * Subclasses should only implement model-specific loading logic. + * + * @category Typescript API + */ +function isPixelData(input: unknown): input is PixelData { + return ( + typeof input === 'object' && + input !== null && + 'dataPtr' in input && + input.dataPtr instanceof Uint8Array && + 'sizes' in input && + Array.isArray(input.sizes) && + input.sizes.length === 3 && + 'scalarType' in input && + input.scalarType === ScalarType.BYTE + ); +} + +export abstract class VisionModule extends BaseModule { + /** + * Synchronous worklet function for real-time VisionCamera frame processing. + * + * Only available after the model is loaded. Returns null if not loaded. + * + * **Use this for VisionCamera frame processing in worklets.** + * For async processing, use `forward()` instead. + * + * @example + * ```typescript + * const model = new ClassificationModule(); + * await model.load({ modelSource: MODEL }); + * + * // Use the functional form of setState to store the worklet — passing it + * // directly would cause React to invoke it immediately as an updater fn. + * const [runOnFrame, setRunOnFrame] = useState(null); + * setRunOnFrame(() => model.runOnFrame); + * + * const frameOutput = useFrameOutput({ + * onFrame(frame) { + * 'worklet'; + * if (!runOnFrame) return; + * const result = runOnFrame(frame); + * frame.dispose(); + * } + * }); + * ``` + */ + get runOnFrame(): ((frame: Frame, ...args: any[]) => TOutput) | null { + if (!this.nativeModule?.generateFromFrame) { + return null; + } + + // Extract pure JSI function reference (runs on JS thread) + const nativeGenerateFromFrame = this.nativeModule.generateFromFrame; + + // Return worklet that captures ONLY the JSI function + return (frame: any, ...args: any[]): TOutput => { + 'worklet'; + + let nativeBuffer: any = null; + try { + nativeBuffer = frame.getNativeBuffer(); + const frameData = { + nativeBuffer: nativeBuffer.pointer, + }; + return nativeGenerateFromFrame(frameData, ...args); + } finally { + if (nativeBuffer?.release) { + nativeBuffer.release(); + } + } + }; + } + + /** + * Executes the model's forward pass with automatic input type detection. + * + * Supports two input types: + * 1. **String path/URI**: File path, URL, or Base64-encoded string + * 2. **PixelData**: Raw pixel data from image libraries (e.g., NitroImage) + * + * **Note**: For VisionCamera frame processing, use `runOnFrame` instead. + * This method is async and cannot be called in worklet context. + * + * @param input - Image source (string path or PixelData object) + * @param args - Additional model-specific arguments + * @returns A Promise that resolves to the model output. + * + * @example + * ```typescript + * // String path (async) + * const result1 = await model.forward('file:///path/to/image.jpg'); + * + * // Pixel data (async) + * const result2 = await model.forward({ + * dataPtr: new Uint8Array(pixelBuffer), + * sizes: [480, 640, 3], + * scalarType: ScalarType.BYTE + * }); + * + * // For VisionCamera frames, use runOnFrame in worklet: + * const frameOutput = useFrameOutput({ + * onFrame(frame) { + * 'worklet'; + * if (!model.runOnFrame) return; + * const result = model.runOnFrame(frame); + * } + * }); + * ``` + */ + async forward(input: string | PixelData, ...args: any[]): Promise { + if (this.nativeModule == null) + throw new RnExecutorchError( + RnExecutorchErrorCode.ModuleNotLoaded, + 'The model is currently not loaded. Please load the model before calling forward().' + ); + + // Type detection and routing + if (typeof input === 'string') { + return await this.nativeModule.generateFromString(input, ...args); + } else if (isPixelData(input)) { + return await this.nativeModule.generateFromPixels(input, ...args); + } else { + throw new RnExecutorchError( + RnExecutorchErrorCode.InvalidArgument, + 'Invalid input: expected string path or PixelData object. For VisionCamera frames, use runOnFrame instead.' + ); + } + } +} diff --git a/packages/react-native-executorch/src/types/common.ts b/packages/react-native-executorch/src/types/common.ts index 384caa861..eaafc6c9b 100644 --- a/packages/react-native-executorch/src/types/common.ts +++ b/packages/react-native-executorch/src/types/common.ts @@ -151,3 +151,56 @@ export type LabelEnum = Readonly>; * @category Types */ export type Triple = readonly [T, T, T]; +/** + * Represents raw pixel data in RGB format for vision models. + * + * This type extends TensorPtr with constraints specific to image data: + * - dataPtr must be Uint8Array (8-bit unsigned integers) + * - scalarType is always BYTE (ScalarType.BYTE) + * - sizes represents [height, width, channels] where channels must be 3 (RGB) + * + * @category Types + * @example + * ```typescript + * const pixelData: PixelData = { + * dataPtr: new Uint8Array(width * height * 3), // RGB pixel data + * sizes: [height, width, 3], // [height, width, channels] + * scalarType: ScalarType.BYTE + * }; + * ``` + */ +export interface PixelData extends Pick { + /** + * RGB pixel data as Uint8Array. + * Expected format: RGB (3 channels), not RGBA or BGRA. + * Size must equal: width * height * 3 + */ + dataPtr: Uint8Array; + + /** + * Dimensions of the pixel data: [height, width, channels]. + * - sizes[0]: height (number of rows) + * - sizes[1]: width (number of columns) + * - sizes[2]: channels (must be 3 for RGB) + */ + sizes: [number, number, 3]; + + /** + * Scalar type is always BYTE for pixel data. + */ + scalarType: ScalarType.BYTE; +} + +/** + * Frame data for vision model processing. + */ +export interface Frame { + /** + * Pointer to native platform buffer (zero-copy, best performance). + * - On iOS: CVPixelBufferRef pointer + * - On Android: AHardwareBuffer* pointer + * + * Obtain from Vision Camera v5: `frame.getNativeBuffer().pointer` + */ + getNativeBuffer(): { pointer: bigint; release(): void }; +} diff --git a/packages/react-native-executorch/src/types/objectDetection.ts b/packages/react-native-executorch/src/types/objectDetection.ts index 94f7cf5c0..5aaf81833 100644 --- a/packages/react-native-executorch/src/types/objectDetection.ts +++ b/packages/react-native-executorch/src/types/objectDetection.ts @@ -1,5 +1,5 @@ import { RnExecutorchError } from '../errors/errorUtils'; -import { ResourceSource } from './common'; +import { ResourceSource, PixelData, Frame } from './common'; /** * Represents a bounding box for a detected object in an image. @@ -170,14 +170,65 @@ export interface ObjectDetectionType { downloadProgress: number; /** - * Executes the model's forward pass to detect objects within the provided image. - * @param imageSource - A string representing the image source (e.g., a file path, URI, or base64 string) to be processed. - * @param detectionThreshold - An optional number between 0 and 1 representing the minimum confidence score required for an object to be included in the results. Default is 0.7. - * @returns A Promise that resolves to an array of `Detection` objects, where each object typically contains bounding box coordinates, a class label, and a confidence score. + * Executes the model's forward pass with automatic input type detection. + * + * Supports two input types: + * 1. **String path/URI**: File path, URL, or Base64-encoded string + * 2. **PixelData**: Raw pixel data from image libraries (e.g., NitroImage) + * + * **Note**: For VisionCamera frame processing, use `runOnFrame` instead. + * + * @param input - Image source (string or PixelData object) + * @param detectionThreshold - An optional number between 0 and 1 representing the minimum confidence score. Default is 0.5. + * @returns A Promise that resolves to an array of `Detection` objects. * @throws {RnExecutorchError} If the model is not loaded or is currently processing another image. + * + * @example + * ```typescript + * // String path + * const detections1 = await model.forward('file:///path/to/image.jpg'); + * + * // Pixel data + * const detections2 = await model.forward({ + * dataPtr: new Uint8Array(rgbPixels), + * sizes: [480, 640, 3], + * scalarType: ScalarType.BYTE + * }); + * ``` */ forward: ( - imageSource: string, + input: string | PixelData, detectionThreshold?: number ) => Promise; + + /** + * Synchronous worklet function for real-time VisionCamera frame processing. + * Automatically handles native buffer extraction and cleanup. + * + * **Use this for VisionCamera frame processing in worklets.** + * For async processing, use `forward()` instead. + * + * Available after model is loaded (`isReady: true`). + * + * @example + * ```typescript + * const { runOnFrame, isReady } = useObjectDetection({ model: MODEL }); + * + * const frameOutput = useFrameOutput({ + * onFrame(frame) { + * 'worklet'; + * if (!runOnFrame) return; + * const detections = runOnFrame(frame, 0.5); + * frame.dispose(); + * } + * }); + * ``` + * + * @param frame - VisionCamera Frame object + * @param detectionThreshold - The threshold for detection sensitivity. + * @returns Array of Detection objects representing detected items in the frame. + */ + runOnFrame: + | ((frame: Frame, detectionThreshold: number) => Detection[]) + | null; } diff --git a/scripts/errors.config.ts b/scripts/errors.config.ts index 3e6cf1090..6953eec2e 100644 --- a/scripts/errors.config.ts +++ b/scripts/errors.config.ts @@ -59,6 +59,10 @@ export const errorDefinitions = { * Thrown when the number of downloaded files is unexpected, due to download interruptions. */ DownloadInterrupted: 0x76, + /* + * Thrown when a feature or platform is not supported in the current environment. + */ + PlatformNotSupported: 0x77, /* * Thrown when an error occurs with the tokenizer or tokenization process. diff --git a/yarn.lock b/yarn.lock index 829e4f42f..d8df58199 100644 --- a/yarn.lock +++ b/yarn.lock @@ -33,27 +33,7 @@ __metadata: languageName: node linkType: hard -"@babel/code-frame@npm:7.10.4, @babel/code-frame@npm:~7.10.4": - 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jest-worker: "npm:^29.7.0" - micromatch: "npm:^4.0.4" - nullthrows: "npm:^1.1.1" - walker: "npm:^1.0.7" - checksum: 10/349a52c74cd02a1db75d0677c82e31750098e74a67bd1e10b2241e296897bfb20de2d8a2f27d7c292e2b3f492a36a191eb3c1bd5d09d5758b8febd36db86e58f - languageName: node - linkType: hard - "metro-file-map@npm:0.83.3": version: 0.83.3 resolution: "metro-file-map@npm:0.83.3" @@ -12081,16 +11402,6 @@ __metadata: languageName: node linkType: hard -"metro-minify-terser@npm:0.83.2": - version: 0.83.2 - resolution: "metro-minify-terser@npm:0.83.2" - dependencies: - flow-enums-runtime: "npm:^0.0.6" - terser: "npm:^5.15.0" - checksum: 10/ee164bdd3ddf797e1b0f9fd71960b662b40fc3abead77521b1e1435291d38cc151442348362d6afee0596d52fcff48cc6a055a04a7928905e9557968e05293ac - languageName: node - linkType: hard - "metro-minify-terser@npm:0.83.3": version: 0.83.3 resolution: "metro-minify-terser@npm:0.83.3" @@ -12169,15 +11480,6 @@ __metadata: languageName: node linkType: hard -"metro-resolver@npm:0.83.2": - 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version: 0.83.2 - resolution: "metro-symbolicate@npm:0.83.2" - dependencies: - flow-enums-runtime: "npm:^0.0.6" - invariant: "npm:^2.2.4" - metro-source-map: "npm:0.83.2" - nullthrows: "npm:^1.1.1" - source-map: "npm:^0.5.6" - vlq: "npm:^1.0.0" - bin: - metro-symbolicate: src/index.js - checksum: 10/1ddd82d0f1e236f4eb69c49b319a5446f364aaa421b4301554898abe86d23a452a5fb5113bfef6b6c68c2a697ad3a68fb00919a2f7b9b73a040c92689002a8d4 - languageName: node - linkType: hard - "metro-symbolicate@npm:0.83.3": version: 0.83.3 resolution: "metro-symbolicate@npm:0.83.3" @@ -12385,20 +11643,6 @@ __metadata: languageName: node linkType: hard -"metro-transform-plugins@npm:0.83.2": - version: 0.83.2 - resolution: "metro-transform-plugins@npm:0.83.2" - dependencies: - "@babel/core": "npm:^7.25.2" - "@babel/generator": "npm:^7.25.0" - "@babel/template": "npm:^7.25.0" - "@babel/traverse": "npm:^7.25.3" - flow-enums-runtime: "npm:^0.0.6" - nullthrows: "npm:^1.1.1" - checksum: 10/e3ebef11d64e5e568fde3fe2edc5d7f1e9508b28c7607c14dd711bc29058cbfc97e53edbfee79bd60f58c189e4d74869d87a30488534024fe88503296a7d095a - languageName: node - linkType: hard - "metro-transform-plugins@npm:0.83.3": version: 0.83.3 resolution: "metro-transform-plugins@npm:0.83.3" @@ -12448,27 +11692,6 @@ __metadata: languageName: node linkType: hard -"metro-transform-worker@npm:0.83.2": - version: 0.83.2 - resolution: "metro-transform-worker@npm:0.83.2" - dependencies: - "@babel/core": "npm:^7.25.2" - "@babel/generator": "npm:^7.25.0" - "@babel/parser": "npm:^7.25.3" - "@babel/types": "npm:^7.25.2" - flow-enums-runtime: "npm:^0.0.6" - metro: "npm:0.83.2" - metro-babel-transformer: "npm:0.83.2" - metro-cache: "npm:0.83.2" - metro-cache-key: "npm:0.83.2" - metro-minify-terser: "npm:0.83.2" - metro-source-map: "npm:0.83.2" - metro-transform-plugins: "npm:0.83.2" - nullthrows: "npm:^1.1.1" - checksum: 10/b4286b1b0511e46e2ec265e24138d03d8a794687260beae297de3d378285cce0e06132280dac62d447dfaf55627432c28463939a63136f3a84c2cf6b880d3865 - languageName: node - linkType: hard - "metro-transform-worker@npm:0.83.3": version: 0.83.3 resolution: "metro-transform-worker@npm:0.83.3" @@ -12561,57 +11784,7 @@ __metadata: languageName: node linkType: hard -"metro@npm:0.83.2": - 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