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(Go) Amazon Rekognition - Detect Faces in an Image

See more Amazon Rekognition Examples

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

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    rest := chilkat.NewRest()
    var success bool

    authAws := chilkat.NewAuthAws()
    authAws.SetAccessKey("AWS_ACCESS_KEY")
    authAws.SetSecretKey("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.SetRegion("us-west-2")
    authAws.SetServiceName("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 := true
    port := 443
    bAutoReconnect := true
    // 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 != true {
        fmt.Println("ConnectFailReason: ", rest.ConnectFailReason())
        fmt.Println(rest.LastErrorText())
        rest.DisposeRest()
        authAws.DisposeAuthAws()
        return
    }

    // 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.
    bdJpg := chilkat.NewBinData()
    success = bdJpg.LoadFile("qa_data/jpg/kid_blue_coat.jpg")
    if success != true {
        fmt.Println("Failed to load the input JPG file.")
        rest.DisposeRest()
        authAws.DisposeAuthAws()
        bdJpg.DisposeBinData()
        return
    }

    // 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.
    sbJpg := chilkat.NewStringBuilder()
    bdJpg.GetEncodedSb("base64",sbJpg)

    json := chilkat.NewJsonObject()
    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")

    sbRequestBody := chilkat.NewStringBuilder()
    json.EmitSb(sbRequestBody)
    sbResponseBody := chilkat.NewStringBuilder()
    success = rest.FullRequestSb("POST","/",sbRequestBody,sbResponseBody)
    if success != true {
        fmt.Println(rest.LastErrorText())
        rest.DisposeRest()
        authAws.DisposeAuthAws()
        bdJpg.DisposeBinData()
        sbJpg.DisposeStringBuilder()
        json.DisposeJsonObject()
        sbRequestBody.DisposeStringBuilder()
        sbResponseBody.DisposeStringBuilder()
        return
    }

    respStatusCode := rest.ResponseStatusCode()
    fmt.Println("response status code = ", respStatusCode)

    if respStatusCode >= 400 {
        fmt.Println("Response Status Code = ", respStatusCode)
        fmt.Println("Response Header:")
        fmt.Println(rest.ResponseHeader())
        fmt.Println("Response Body:")
        fmt.Println(*sbResponseBody.GetAsString())
        rest.DisposeRest()
        authAws.DisposeAuthAws()
        bdJpg.DisposeBinData()
        sbJpg.DisposeStringBuilder()
        json.DisposeJsonObject()
        sbRequestBody.DisposeStringBuilder()
        sbResponseBody.DisposeStringBuilder()
        return
    }

    jResp := chilkat.NewJsonObject()
    jResp.LoadSb(sbResponseBody)

    jResp.SetEmitCompact(false)
    fmt.Println(*jResp.Emit())

    // 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

    var AgeRangeHigh int
    var AgeRangeLow int
Beard    var Confidence *string = new(string)
    var BeardValue bool
    var BoundingBoxHeight *string = new(string)
    var BoundingBoxLeft *string = new(string)
    var BoundingBoxTop *string = new(string)
    var BoundingBoxWidth *string = new(string)
    var Confidence *string = new(string)
    var EyeglassesConfidence *string = new(string)
    var EyeglassesValue bool
EyesOpen    var Confidence *string = new(string)
    var EyesOpenValue bool
Gender    var Confidence *string = new(string)
    var GenderValue *string = new(string)
MouthOpen    var Confidence *string = new(string)
    var MouthOpenValue bool
    var MustacheConfidence *string = new(string)
    var MustacheValue bool
    var PosePitch *string = new(string)
    var PoseRoll *string = new(string)
    var PoseYaw *string = new(string)
    var QualityBrightness *string = new(string)
    var QualitySharpness *string = new(string)
Smile    var Confidence *string = new(string)
    var SmileValue bool
Sunglasses    var Confidence *string = new(string)
    var SunglassesValue bool
    var j int
    var count_j int
    var v_Type *string = new(string)
    var X *string = new(string)
    var Y *string = new(string)

    i := 0
    count_i := jResp.SizeOfArray("FaceDetails")
    for i < count_i {
        jResp.SetI(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")
        for j < count_j {
            jResp.SetJ(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")
        for j < count_j {
            jResp.SetJ(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
    }


    rest.DisposeRest()
    authAws.DisposeAuthAws()
    bdJpg.DisposeBinData()
    sbJpg.DisposeStringBuilder()
    json.DisposeJsonObject()
    sbRequestBody.DisposeStringBuilder()
    sbResponseBody.DisposeStringBuilder()
    jResp.DisposeJsonObject()

 

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