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Face recognition #5685

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Face recognition #5685

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52 changes: 43 additions & 9 deletions samples/Calling/src/app/views/CallScreen.tsx
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Original file line number Diff line number Diff line change
Expand Up @@ -179,7 +179,8 @@ const AzureCommunicationCallScreen = (props: AzureCommunicationCallScreenProps):

if (imageUrl && imageUrl.length > 10) {
console.log('image url - ', imageBase64ToBlob(imageUrl));
await detectHandGestures(imageUrl);
// await detectHandGestures(imageUrl);
await detectHeadMovements(imageUrl);
}
animationFrameId = requestAnimationFrame(analyzeFrame);
}
Expand Down Expand Up @@ -211,11 +212,11 @@ const AzureCommunicationCallScreen = (props: AzureCommunicationCallScreenProps):
return null;
}
async function detectHandGestures1(imageBase64: string) {
const CUSTOM_VISION_ENDPOINT = 'https://azureaiinsravan.cognitiveservices.azure.com';
// const CUSTOM_VISION_ENDPOINT = 'https://azureaiinsravan.cognitiveservices.azure.com';
const CUSTOM_VISION_KEY = 'Ffnb7EK1Z65PWAn9o31l5dxMV8kP1C6rIMAn2vbPRzZ3EidaEKjvJQQJ99BBACYeBjFXJ3w3AAAFACOGXhO6';
const PREDICTION_KEY = 'ebc77a8a52e04e9394125c19f2dc8a16';
const PROJECT_ID = 'daaea539-0d1a-456b-a0fc-31e121039d56';
const MODEL_NAME = 'FaceExpressionAndHandGestures';
// const PROJECT_ID = 'daaea539-0d1a-456b-a0fc-31e121039d56';
// const MODEL_NAME = 'FaceExpressionAndHandGestures';

const response = await fetch(
//`${CUSTOM_VISION_ENDPOINT}/customvision/v3.0/Prediction/${PROJECT_ID}/classify/iterations/${MODEL_NAME}/url`,
Expand All @@ -239,11 +240,11 @@ const AzureCommunicationCallScreen = (props: AzureCommunicationCallScreenProps):
console.log(data);
}
async function detectHandGestures(imageBase64: string) {
const CUSTOM_VISION_ENDPOINT = 'https://azureaiinsravan.cognitiveservices.azure.com';
// const CUSTOM_VISION_ENDPOINT = 'https://azureaiinsravan.cognitiveservices.azure.com';
const CUSTOM_VISION_KEY = 'Ffnb7EK1Z65PWAn9o31l5dxMV8kP1C6rIMAn2vbPRzZ3EidaEKjvJQQJ99BBACYeBjFXJ3w3AAAFACOGXhO6';
const PREDICTION_KEY = 'ebc77a8a52e04e9394125c19f2dc8a16';
const PROJECT_ID = 'daaea539-0d1a-456b-a0fc-31e121039d56';
const MODEL_NAME = 'FaceExpressionAndHandGestures';
// const PROJECT_ID = 'daaea539-0d1a-456b-a0fc-31e121039d56';
// const MODEL_NAME = 'FaceExpressionAndHandGestures';

const response = await fetch(
//`${CUSTOM_VISION_ENDPOINT}/customvision/v3.0/Prediction/${PROJECT_ID}/classify/iterations/${MODEL_NAME}/url`,
Expand All @@ -260,9 +261,9 @@ const AzureCommunicationCallScreen = (props: AzureCommunicationCallScreenProps):
);

const data = await response.json();
console.log('Gesture detected data - \n');
console.log(data);
console.log(`CHUK ==== ${JSON.stringify(data)}`);
}

function imageBase64ToBlob(base64: string) {
const base64Data = base64.split(',')[1];
if (!base64Data) {
Expand All @@ -289,6 +290,38 @@ const AzureCommunicationCallScreen = (props: AzureCommunicationCallScreenProps):
// return new Blob([new Uint8Array(byteNumbers)], { type: 'image/jpeg' });
// }

async function detectHeadMovements(imageBase64: string): Promise<void> {
const FACE_API_ENDPOINT = '<YOUR_FACE_API';
const FACE_API_KEY = '<YOUR_FACE_API';

const response = await fetch(`${FACE_API_ENDPOINT}/face/v1.0/detect?returnFaceAttributes=headPose`, {
method: 'POST',
headers: {
'Ocp-Apim-Subscription-Key': FACE_API_KEY,
'Content-Type': 'application/octet-stream'
},
body: imageBase64ToBlob(imageBase64)
});

const data = await response.json();
processHeadMovements(data);
}

function processHeadMovements(data: { faceAttributes: { headPose: { yaw: number; pitch: number } } }[]): void {
data.forEach((face: { faceAttributes: { headPose: { yaw: number; pitch: number } } }) => {
const { yaw, pitch } = face.faceAttributes.headPose;
let resultText = '';

if (pitch > 10) {
resultText = '✅ Nodding (Yes)';
} else if (yaw > 15 || yaw < -15) {
resultText = '❌ Shaking Head (No)';
}

console.log(`HeadMovement ====> ${resultText}`);
});
}

const callAdapterOptions: AzureCommunicationCallAdapterOptions = useMemo(() => {
return {
videoBackgroundOptions: {
Expand Down Expand Up @@ -418,6 +451,7 @@ const AzureCommunicationOutboundCallScreen = (props: AzureCommunicationCallScree
console.log('Gesture detected data - \n');
console.log(data);
}

function imageBase64ToBlob(base64: string) {
const base64Data = base64.split(',')[1];
if (!base64Data) {
Expand Down
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