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(PHP ActiveX) Amazon Rekognition - Detect Faces in an ImageSee more Amazon Rekognition ExamplesDetects faces within an image that is provided as input. This example passes theimage as base64-encoded image bytes. For more information, see https://docs.aws.amazon.com/rekognition/latest/dg/API_DetectFaces.html
<?php // For versions of Chilkat < 10.0.0, use new COM('Chilkat_9_5_0.Chilkat.Rest') $rest = new COM("Chilkat.Rest"); // For versions of Chilkat < 10.0.0, use new COM('Chilkat_9_5_0.Chilkat.AuthAws') $authAws = new COM("Chilkat.AuthAws"); $authAws->AccessKey = 'AWS_ACCESS_KEY'; $authAws->SecretKey = 'AWS_SECRET_KEY'; // Don't forget to change the region to your particular region. (Also make the same change in the call to Connect below.) $authAws->Region = 'us-west-2'; $authAws->ServiceName = 'rekognition'; // SetAuthAws causes Chilkat to automatically add the following headers: Authorization, X-Amz-Date $rest->SetAuthAws($authAws); // URL: https://rekognition.us-west-2.amazonaws.com/ $bTls = 1; $port = 443; $bAutoReconnect = 1; // Don't forget to change the region domain (us-west-2.amazonaws.com) to your particular region. $success = $rest->Connect('rekognition.us-west-2.amazonaws.com',$port,$bTls,$bAutoReconnect); if ($success != 1) { print 'ConnectFailReason: ' . $rest->ConnectFailReason . "\n"; print $rest->LastErrorText . "\n"; exit; } // Note: The above code does not need to be repeatedly called for each REST request. // The rest object can be setup once, and then many requests can be sent. Chilkat will automatically // reconnect within a FullRequest* method as needed. It is only the very first connection that is explicitly // made via the Connect method. // Load the JPG to be passed as base64 in the JSON. // For versions of Chilkat < 10.0.0, use new COM('Chilkat_9_5_0.Chilkat.BinData') $bdJpg = new COM("Chilkat.BinData"); $success = $bdJpg->LoadFile('qa_data/jpg/kid_blue_coat.jpg'); if ($success != 1) { print 'Failed to load the input JPG file.' . "\n"; exit; } // We wish to send the following JSON in the body of our HTTP request: // { // "Image": { // "Bytes": "base64_image_bytes" // } // "Attributes": [ // "ALL" // ] // } // Here is the image we used for testing: // Convert binary image bytes to base64. // Note: We are explicitly keeping the data inside Chilkat to avoid having to pass large strings // as arguments to function calls. This is important for some programming languages. // For versions of Chilkat < 10.0.0, use new COM('Chilkat_9_5_0.Chilkat.StringBuilder') $sbJpg = new COM("Chilkat.StringBuilder"); $bdJpg->GetEncodedSb('base64',$sbJpg); // For versions of Chilkat < 10.0.0, use new COM('Chilkat_9_5_0.Chilkat.JsonObject') $json = new COM("Chilkat.JsonObject"); $json->UpdateSb('Image.Bytes',$sbJpg); $json->UpdateString('Attributes[0]','ALL'); $rest->AddHeader('Content-Type','application/x-amz-json-1.1'); $rest->AddHeader('X-Amz-Target','RekognitionService.DetectFaces'); // For versions of Chilkat < 10.0.0, use new COM('Chilkat_9_5_0.Chilkat.StringBuilder') $sbRequestBody = new COM("Chilkat.StringBuilder"); $json->EmitSb($sbRequestBody); // For versions of Chilkat < 10.0.0, use new COM('Chilkat_9_5_0.Chilkat.StringBuilder') $sbResponseBody = new COM("Chilkat.StringBuilder"); $success = $rest->FullRequestSb('POST','/',$sbRequestBody,$sbResponseBody); if ($success != 1) { print $rest->LastErrorText . "\n"; exit; } $respStatusCode = $rest->ResponseStatusCode; print 'response status code = ' . $respStatusCode . "\n"; if ($respStatusCode >= 400) { print 'Response Status Code = ' . $respStatusCode . "\n"; print 'Response Header:' . "\n"; print $rest->ResponseHeader . "\n"; print 'Response Body:' . "\n"; print $sbResponseBody->getAsString() . "\n"; exit; } // For versions of Chilkat < 10.0.0, use new COM('Chilkat_9_5_0.Chilkat.JsonObject') $jResp = new COM("Chilkat.JsonObject"); $jResp->LoadSb($sbResponseBody); $jResp->EmitCompact = 0; print $jResp->emit() . "\n"; // Sample JSON response: // (Sample code for parsing the JSON response is shown below) // { // "FaceDetails": [ // { // "AgeRange": { // "High": 18, // "Low": 8 // }, // "Beard": { // "Confidence": 98.06282806396484, // "Value": false // }, // "BoundingBox": { // "Height": 0.327279269695282, // "Left": 0.5339247584342957, // "Top": 0.23660442233085632, // "Width": 0.35611653327941895 // }, // "Confidence": 99.99732971191406, // "Emotions": [ // { // "Confidence": 99.5849380493164, // "Type": "HAPPY" // }, // { // "Confidence": 0.15533843636512756, // "Type": "CALM" // }, // { // "Confidence": 0.08864031732082367, // "Type": "SURPRISED" // }, // { // "Confidence": 0.05476664379239082, // "Type": "SAD" // }, // { // "Confidence": 0.042048510164022446, // "Type": "CONFUSED" // }, // { // "Confidence": 0.038942769169807434, // "Type": "DISGUSTED" // }, // { // "Confidence": 0.021463459357619286, // "Type": "FEAR" // }, // { // "Confidence": 0.013858155347406864, // "Type": "ANGRY" // } // ], // "Eyeglasses": { // "Confidence": 98.5116195678711, // "Value": false // }, // "EyesOpen": { // "Confidence": 99.65477752685547, // "Value": true // }, // "Gender": { // "Confidence": 97.1164321899414, // "Value": "Female" // }, // "Landmarks": [ // { // "Type": "eyeLeft", // "X": 0.6554790735244751, // "Y": 0.35153862833976746 // }, // { // "Type": "eyeRight", // "X": 0.7940073609352112, // "Y": 0.38292214274406433 // }, // { // "Type": "mouthLeft", // "X": 0.6188991069793701, // "Y": 0.46431097388267517 // }, // { // "Type": "mouthRight", // "X": 0.7352844476699829, // "Y": 0.490242063999176 // }, // { // "Type": "nose", // "X": 0.7125006914138794, // "Y": 0.44607019424438477 // }, // { // "Type": "leftEyeBrowLeft", // "X": 0.6096581220626831, // "Y": 0.3071737587451935 // }, // { // "Type": "leftEyeBrowRight", // "X": 0.6628581285476685, // "Y": 0.3133310079574585 // }, // { // "Type": "leftEyeBrowUp", // "X": 0.7027584314346313, // "Y": 0.33200803399086 // }, // { // "Type": "rightEyeBrowLeft", // "X": 0.7813941240310669, // "Y": 0.35023579001426697 // }, // { // "Type": "rightEyeBrowRight", // "X": 0.8213478922843933, // "Y": 0.34993964433670044 // }, // { // "Type": "rightEyeBrowUp", // "X": 0.8495538234710693, // "Y": 0.36189284920692444 // }, // { // "Type": "leftEyeLeft", // "X": 0.629088282585144, // "Y": 0.34286588430404663 // }, // { // "Type": "leftEyeRight", // "X": 0.6820939183235168, // "Y": 0.3586524724960327 // }, // { // "Type": "leftEyeUp", // "X": 0.6580297946929932, // "Y": 0.3468707501888275 // }, // { // "Type": "leftEyeDown", // "X": 0.6537532210350037, // "Y": 0.35663917660713196 // }, // { // "Type": "rightEyeLeft", // "X": 0.7655976414680481, // "Y": 0.3776427209377289 // }, // { // "Type": "rightEyeRight", // "X": 0.8166338801383972, // "Y": 0.38544225692749023 // }, // { // "Type": "rightEyeUp", // "X": 0.7969376444816589, // "Y": 0.37844377756118774 // }, // { // "Type": "rightEyeDown", // "X": 0.7909533977508545, // "Y": 0.3877102732658386 // }, // { // "Type": "noseLeft", // "X": 0.6727234721183777, // "Y": 0.44030481576919556 // }, // { // "Type": "noseRight", // "X": 0.7237889170646667, // "Y": 0.45200300216674805 // }, // { // "Type": "mouthUp", // "X": 0.6882695555686951, // "Y": 0.4740942418575287 // }, // { // "Type": "mouthDown", // "X": 0.6720560789108276, // "Y": 0.5046101808547974 // }, // { // "Type": "leftPupil", // "X": 0.6554790735244751, // "Y": 0.35153862833976746 // }, // { // "Type": "rightPupil", // "X": 0.7940073609352112, // "Y": 0.38292214274406433 // }, // { // "Type": "upperJawlineLeft", // "X": 0.5517005324363708, // "Y": 0.30355724692344666 // }, // { // "Type": "midJawlineLeft", // "X": 0.5320234894752502, // "Y": 0.43352627754211426 // }, // { // "Type": "chinBottom", // "X": 0.6419994831085205, // "Y": 0.5531964302062988 // }, // { // "Type": "midJawlineRight", // "X": 0.7752369046211243, // "Y": 0.48957017064094543 // }, // { // "Type": "upperJawlineRight", // "X": 0.8515444397926331, // "Y": 0.37258899211883545 // } // ], // "MouthOpen": { // "Confidence": 68.26280212402344, // "Value": false // }, // "Mustache": { // "Confidence": 99.73213195800781, // "Value": false // }, // "Pose": { // "Pitch": -11.299633026123047, // "Roll": 17.6924991607666, // "Yaw": 13.582314491271973 // }, // "Quality": { // "Brightness": 83.72581481933594, // "Sharpness": 67.22731018066406 // }, // "Smile": { // "Confidence": 98.4793930053711, // "Value": true // }, // "Sunglasses": { // "Confidence": 99.3582992553711, // "Value": false // } // } // ] // } // Sample code for parsing the JSON response... // Use the following online tool to generate parsing code from sample JSON: // Generate Parsing Code from JSON $i = 0; $count_i = $jResp->SizeOfArray('FaceDetails'); while ($i < $count_i) { $jResp->I = $i; $AgeRangeHigh = $jResp->IntOf('FaceDetails[i].AgeRange.High'); $AgeRangeLow = $jResp->IntOf('FaceDetails[i].AgeRange.Low'); $BeardConfidence = $jResp->stringOf('FaceDetails[i].Beard.Confidence'); $BeardValue = $jResp->BoolOf('FaceDetails[i].Beard.Value'); $BoundingBoxHeight = $jResp->stringOf('FaceDetails[i].BoundingBox.Height'); $BoundingBoxLeft = $jResp->stringOf('FaceDetails[i].BoundingBox.Left'); $BoundingBoxTop = $jResp->stringOf('FaceDetails[i].BoundingBox.Top'); $BoundingBoxWidth = $jResp->stringOf('FaceDetails[i].BoundingBox.Width'); $Confidence = $jResp->stringOf('FaceDetails[i].Confidence'); $EyeglassesConfidence = $jResp->stringOf('FaceDetails[i].Eyeglasses.Confidence'); $EyeglassesValue = $jResp->BoolOf('FaceDetails[i].Eyeglasses.Value'); $EyesOpenConfidence = $jResp->stringOf('FaceDetails[i].EyesOpen.Confidence'); $EyesOpenValue = $jResp->BoolOf('FaceDetails[i].EyesOpen.Value'); $GenderConfidence = $jResp->stringOf('FaceDetails[i].Gender.Confidence'); $GenderValue = $jResp->stringOf('FaceDetails[i].Gender.Value'); $MouthOpenConfidence = $jResp->stringOf('FaceDetails[i].MouthOpen.Confidence'); $MouthOpenValue = $jResp->BoolOf('FaceDetails[i].MouthOpen.Value'); $MustacheConfidence = $jResp->stringOf('FaceDetails[i].Mustache.Confidence'); $MustacheValue = $jResp->BoolOf('FaceDetails[i].Mustache.Value'); $PosePitch = $jResp->stringOf('FaceDetails[i].Pose.Pitch'); $PoseRoll = $jResp->stringOf('FaceDetails[i].Pose.Roll'); $PoseYaw = $jResp->stringOf('FaceDetails[i].Pose.Yaw'); $QualityBrightness = $jResp->stringOf('FaceDetails[i].Quality.Brightness'); $QualitySharpness = $jResp->stringOf('FaceDetails[i].Quality.Sharpness'); $SmileConfidence = $jResp->stringOf('FaceDetails[i].Smile.Confidence'); $SmileValue = $jResp->BoolOf('FaceDetails[i].Smile.Value'); $SunglassesConfidence = $jResp->stringOf('FaceDetails[i].Sunglasses.Confidence'); $SunglassesValue = $jResp->BoolOf('FaceDetails[i].Sunglasses.Value'); $j = 0; $count_j = $jResp->SizeOfArray('FaceDetails[i].Emotions'); while ($j < $count_j) { $jResp->J = $j; $Confidence = $jResp->stringOf('FaceDetails[i].Emotions[j].Confidence'); $v_Type = $jResp->stringOf('FaceDetails[i].Emotions[j].Type'); $j = $j + 1; } $j = 0; $count_j = $jResp->SizeOfArray('FaceDetails[i].Landmarks'); while ($j < $count_j) { $jResp->J = $j; $v_Type = $jResp->stringOf('FaceDetails[i].Landmarks[j].Type'); $X = $jResp->stringOf('FaceDetails[i].Landmarks[j].X'); $Y = $jResp->stringOf('FaceDetails[i].Landmarks[j].Y'); $j = $j + 1; } $i = $i + 1; } ?> |
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