Visual FoxPro
Visual FoxPro
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.Chilkat Visual FoxPro Downloads
LOCAL lnSuccess
LOCAL loRest
LOCAL loAuthAws
LOCAL lnBTls
LOCAL lnPort
LOCAL lnBAutoReconnect
LOCAL loBdJpg
LOCAL loSbJpg
LOCAL loJson
LOCAL loSbRequestBody
LOCAL loSbResponseBody
LOCAL lnRespStatusCode
LOCAL loJResp
LOCAL lnAgeRangeHigh
LOCAL lnAgeRangeLow
LOCAL lcBeardConfidence
LOCAL lnBeardValue
LOCAL lcBoundingBoxHeight
LOCAL lcBoundingBoxLeft
LOCAL lcBoundingBoxTop
LOCAL lcBoundingBoxWidth
LOCAL lcConfidence
LOCAL lcEyeglassesConfidence
LOCAL lnEyeglassesValue
LOCAL lcEyesOpenConfidence
LOCAL lnEyesOpenValue
LOCAL lcGenderConfidence
LOCAL lcGenderValue
LOCAL lcMouthOpenConfidence
LOCAL lnMouthOpenValue
LOCAL lcMustacheConfidence
LOCAL lnMustacheValue
LOCAL lcPosePitch
LOCAL lcPoseRoll
LOCAL lcPoseYaw
LOCAL lcQualityBrightness
LOCAL lcQualitySharpness
LOCAL lcSmileConfidence
LOCAL lnSmileValue
LOCAL lcSunglassesConfidence
LOCAL lnSunglassesValue
LOCAL j
LOCAL lnCount_j
LOCAL lcV_Type
LOCAL X
LOCAL Y
LOCAL i
LOCAL lnCount_i
lnSuccess = 0
loRest = CreateObject('Chilkat.Rest')
loAuthAws = CreateObject('Chilkat.AuthAws')
loAuthAws.AccessKey = "AWS_ACCESS_KEY"
loAuthAws.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.)
loAuthAws.Region = "us-west-2"
loAuthAws.ServiceName = "rekognition"
* SetAuthAws causes Chilkat to automatically add the following headers: Authorization, X-Amz-Date
loRest.SetAuthAws(loAuthAws)
* URL: https://rekognition.us-west-2.amazonaws.com/
lnBTls = 1
lnPort = 443
lnBAutoReconnect = 1
* Don't forget to change the region domain (us-west-2.amazonaws.com) to your particular region.
lnSuccess = loRest.Connect("rekognition.us-west-2.amazonaws.com",lnPort,lnBTls,lnBAutoReconnect)
IF (lnSuccess <> 1) THEN
? "ConnectFailReason: " + STR(loRest.ConnectFailReason)
? loRest.LastErrorText
RELEASE loRest
RELEASE loAuthAws
CANCEL
ENDIF
* 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.
loBdJpg = CreateObject('Chilkat.BinData')
lnSuccess = loBdJpg.LoadFile("qa_data/jpg/kid_blue_coat.jpg")
IF (lnSuccess <> 1) THEN
? "Failed to load the input JPG file."
RELEASE loRest
RELEASE loAuthAws
RELEASE loBdJpg
CANCEL
ENDIF
* 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:
* (image:https://example-code.com/images/kid_blue_coat.jpg/endImage)
* 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.
loSbJpg = CreateObject('Chilkat.StringBuilder')
loBdJpg.GetEncodedSb("base64",loSbJpg)
loJson = CreateObject('Chilkat.JsonObject')
loJson.UpdateSb("Image.Bytes",loSbJpg)
loJson.UpdateString("Attributes[0]","ALL")
loRest.AddHeader("Content-Type","application/x-amz-json-1.1")
loRest.AddHeader("X-Amz-Target","RekognitionService.DetectFaces")
loSbRequestBody = CreateObject('Chilkat.StringBuilder')
loJson.EmitSb(loSbRequestBody)
loSbResponseBody = CreateObject('Chilkat.StringBuilder')
lnSuccess = loRest.FullRequestSb("POST","/",loSbRequestBody,loSbResponseBody)
IF (lnSuccess <> 1) THEN
? loRest.LastErrorText
RELEASE loRest
RELEASE loAuthAws
RELEASE loBdJpg
RELEASE loSbJpg
RELEASE loJson
RELEASE loSbRequestBody
RELEASE loSbResponseBody
CANCEL
ENDIF
lnRespStatusCode = loRest.ResponseStatusCode
? "response status code = " + STR(lnRespStatusCode)
IF (lnRespStatusCode >= 400) THEN
? "Response Status Code = " + STR(lnRespStatusCode)
? "Response Header:"
? loRest.ResponseHeader
? "Response Body:"
? loSbResponseBody.GetAsString()
RELEASE loRest
RELEASE loAuthAws
RELEASE loBdJpg
RELEASE loSbJpg
RELEASE loJson
RELEASE loSbRequestBody
RELEASE loSbResponseBody
CANCEL
ENDIF
loJResp = CreateObject('Chilkat.JsonObject')
loJResp.LoadSb(loSbResponseBody)
loJResp.EmitCompact = 0
? loJResp.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
i = 0
lnCount_i = loJResp.SizeOfArray("FaceDetails")
DO WHILE i < lnCount_i
loJResp.I = i
lnAgeRangeHigh = loJResp.IntOf("FaceDetails[i].AgeRange.High")
lnAgeRangeLow = loJResp.IntOf("FaceDetails[i].AgeRange.Low")
lcBeardConfidence = loJResp.StringOf("FaceDetails[i].Beard.Confidence")
lnBeardValue = loJResp.BoolOf("FaceDetails[i].Beard.Value")
lcBoundingBoxHeight = loJResp.StringOf("FaceDetails[i].BoundingBox.Height")
lcBoundingBoxLeft = loJResp.StringOf("FaceDetails[i].BoundingBox.Left")
lcBoundingBoxTop = loJResp.StringOf("FaceDetails[i].BoundingBox.Top")
lcBoundingBoxWidth = loJResp.StringOf("FaceDetails[i].BoundingBox.Width")
lcConfidence = loJResp.StringOf("FaceDetails[i].Confidence")
lcEyeglassesConfidence = loJResp.StringOf("FaceDetails[i].Eyeglasses.Confidence")
lnEyeglassesValue = loJResp.BoolOf("FaceDetails[i].Eyeglasses.Value")
lcEyesOpenConfidence = loJResp.StringOf("FaceDetails[i].EyesOpen.Confidence")
lnEyesOpenValue = loJResp.BoolOf("FaceDetails[i].EyesOpen.Value")
lcGenderConfidence = loJResp.StringOf("FaceDetails[i].Gender.Confidence")
lcGenderValue = loJResp.StringOf("FaceDetails[i].Gender.Value")
lcMouthOpenConfidence = loJResp.StringOf("FaceDetails[i].MouthOpen.Confidence")
lnMouthOpenValue = loJResp.BoolOf("FaceDetails[i].MouthOpen.Value")
lcMustacheConfidence = loJResp.StringOf("FaceDetails[i].Mustache.Confidence")
lnMustacheValue = loJResp.BoolOf("FaceDetails[i].Mustache.Value")
lcPosePitch = loJResp.StringOf("FaceDetails[i].Pose.Pitch")
lcPoseRoll = loJResp.StringOf("FaceDetails[i].Pose.Roll")
lcPoseYaw = loJResp.StringOf("FaceDetails[i].Pose.Yaw")
lcQualityBrightness = loJResp.StringOf("FaceDetails[i].Quality.Brightness")
lcQualitySharpness = loJResp.StringOf("FaceDetails[i].Quality.Sharpness")
lcSmileConfidence = loJResp.StringOf("FaceDetails[i].Smile.Confidence")
lnSmileValue = loJResp.BoolOf("FaceDetails[i].Smile.Value")
lcSunglassesConfidence = loJResp.StringOf("FaceDetails[i].Sunglasses.Confidence")
lnSunglassesValue = loJResp.BoolOf("FaceDetails[i].Sunglasses.Value")
j = 0
lnCount_j = loJResp.SizeOfArray("FaceDetails[i].Emotions")
DO WHILE j < lnCount_j
loJResp.J = j
lcConfidence = loJResp.StringOf("FaceDetails[i].Emotions[j].Confidence")
lcV_Type = loJResp.StringOf("FaceDetails[i].Emotions[j].Type")
j = j + 1
ENDDO
j = 0
lnCount_j = loJResp.SizeOfArray("FaceDetails[i].Landmarks")
DO WHILE j < lnCount_j
loJResp.J = j
lcV_Type = loJResp.StringOf("FaceDetails[i].Landmarks[j].Type")
X = loJResp.StringOf("FaceDetails[i].Landmarks[j].X")
Y = loJResp.StringOf("FaceDetails[i].Landmarks[j].Y")
j = j + 1
ENDDO
i = i + 1
ENDDO
RELEASE loRest
RELEASE loAuthAws
RELEASE loBdJpg
RELEASE loSbJpg
RELEASE loJson
RELEASE loSbRequestBody
RELEASE loSbResponseBody
RELEASE loJResp