|
|
(PHP ActiveX) Amazon Rekognition - Detect Faces in an Image
Detects 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;
}
?>
|
