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(Lianja) Amazon Rekognition - Detect Text in an Image
Detects text in the input image and converts it into machine-readable text. This example passes theimage as base64-encoded image bytes. For more information, see https://docs.aws.amazon.com/rekognition/latest/dg/API_DetectText.html
loRest = createobject("CkRest")
loAuthAws = createobject("CkAuthAws")
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/
llBTls = .T.
lnPort = 443
llBAutoReconnect = .T.
// Don't forget to change the region domain (us-west-2.amazonaws.com) to your particular region.
llSuccess = loRest.Connect("rekognition.us-west-2.amazonaws.com",lnPort,llBTls,llBAutoReconnect)
if (llSuccess <> .T.) then
? "ConnectFailReason: " + str(loRest.ConnectFailReason)
? loRest.LastErrorText
release loRest
release loAuthAws
return
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("CkBinData")
llSuccess = loBdJpg.LoadFile("qa_data/jpg/monday_keep_smiling.jpg")
if (llSuccess <> .T.) then
? "Failed to load the input JPG file."
release loRest
release loAuthAws
release loBdJpg
return
endif
// We wish to send the following JSON in the body of our HTTP request:
// {
// "Image": {
// "Bytes": "base64_image_bytes"
// }
// }
// 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.
loSbJpg = createobject("CkStringBuilder")
loBdJpg.GetEncodedSb("base64",loSbJpg)
loJson = createobject("CkJsonObject")
loJson.UpdateSb("Image.Bytes",loSbJpg)
loRest.AddHeader("Content-Type","application/x-amz-json-1.1")
loRest.AddHeader("X-Amz-Target","RekognitionService.DetectText")
loSbRequestBody = createobject("CkStringBuilder")
loJson.EmitSb(loSbRequestBody)
loSbResponseBody = createobject("CkStringBuilder")
llSuccess = loRest.FullRequestSb("POST","/",loSbRequestBody,loSbResponseBody)
if (llSuccess <> .T.) then
? loRest.LastErrorText
release loRest
release loAuthAws
release loBdJpg
release loSbJpg
release loJson
release loSbRequestBody
release loSbResponseBody
return
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
return
endif
loJResp = createobject("CkJsonObject")
loJResp.LoadSb(loSbResponseBody)
loJResp.EmitCompact = .F.
? loJResp.Emit()
// Sample JSON response:
// (Sample code for parsing the JSON response is shown below)
// {
// "TextDetections": [
// {
// "Confidence": 95.99308776855469,
// "DetectedText": "( MONDAY IT'S",
// "Geometry": {
// "BoundingBox": {
// "Height": 0.6399821043014526,
// "Left": 0.219133198261261,
// "Top": 0.08677978068590164,
// "Width": 0.7433173656463623
// },
// "Polygon": [
// {
// "X": 0.219133198261261,
// "Y": 0.3588336706161499
// },
// {
// "X": 0.8984103798866272,
// "Y": 0.08677978068590164
// },
// {
// "X": 0.9624505639076233,
// "Y": 0.4547080099582672
// },
// {
// "X": 0.2831733524799347,
// "Y": 0.7267619371414185
// }
// ]
// },
// "Id": 0,
// "Type": "LINE"
// },
// {
// "Confidence": 99.70352172851562,
// "DetectedText": "but keep",
// "Geometry": {
// "BoundingBox": {
// "Height": 0.09703556448221207,
// "Left": 0.6335319876670837,
// "Top": 0.5153074264526367,
// "Width": 0.21070890128612518
// },
// "Polygon": [
// {
// "X": 0.6355597376823425,
// "Y": 0.5153074264526367
// },
// {
// "X": 0.8442409038543701,
// "Y": 0.5266726613044739
// },
// {
// "X": 0.8422132134437561,
// "Y": 0.6123430132865906
// },
// {
// "X": 0.6335319876670837,
// "Y": 0.6009777784347534
// }
// ]
// },
// "Id": 1,
// "Type": "LINE"
// },
// {
// "Confidence": 99.92333984375,
// "DetectedText": "Smiling",
// "Geometry": {
// "BoundingBox": {
// "Height": 0.31578224897384644,
// "Left": 0.5070608258247375,
// "Top": 0.6086956262588501,
// "Width": 0.4795433282852173
// },
// "Polygon": [
// {
// "X": 0.5070608258247375,
// "Y": 0.6298336386680603
// },
// {
// "X": 0.9808917045593262,
// "Y": 0.6086956262588501
// },
// {
// "X": 0.9866041541099548,
// "Y": 0.9033399224281311
// },
// {
// "X": 0.5127732157707214,
// "Y": 0.9244779348373413
// }
// ]
// },
// "Id": 2,
// "Type": "LINE"
// },
// {
// "Confidence": 99.77294158935547,
// "DetectedText": "IT'S",
// "Geometry": {
// "BoundingBox": {
// "Height": 0.09903381764888763,
// "Left": 0.668789803981781,
// "Top": 0.17874395847320557,
// "Width": 0.1449044644832611
// },
// "Polygon": [
// {
// "X": 0.668789803981781,
// "Y": 0.17874395847320557
// },
// {
// "X": 0.8136942386627197,
// "Y": 0.17874395847320557
// },
// {
// "X": 0.8136942386627197,
// "Y": 0.2777777910232544
// },
// {
// "X": 0.668789803981781,
// "Y": 0.2777777910232544
// }
// ]
// },
// "Id": 5,
// "ParentId": 0,
// "Type": "WORD"
// },
// {
// "Confidence": 98.44307708740234,
// "DetectedText": "MONDAY",
// "Geometry": {
// "BoundingBox": {
// "Height": 0.11112251877784729,
// "Left": 0.5541401505470276,
// "Top": 0.3526569902896881,
// "Width": 0.39013487100601196
// },
// "Polygon": [
// {
// "X": 0.5541401505470276,
// "Y": 0.3526569902896881
// },
// {
// "X": 0.9442675113677979,
// "Y": 0.3502415418624878
// },
// {
// "X": 0.9458598494529724,
// "Y": 0.4613526463508606
// },
// {
// "X": 0.5541401505470276,
// "Y": 0.4637681245803833
// }
// ]
// },
// "Id": 4,
// "ParentId": 0,
// "Type": "WORD"
// },
// {
// "Confidence": 99.61898803710938,
// "DetectedText": "but",
// "Geometry": {
// "BoundingBox": {
// "Height": 0.06521739065647125,
// "Left": 0.6353503465652466,
// "Top": 0.5241546034812927,
// "Width": 0.0843949019908905
// },
// "Polygon": [
// {
// "X": 0.6353503465652466,
// "Y": 0.5241546034812927
// },
// {
// "X": 0.7197452187538147,
// "Y": 0.5241546034812927
// },
// {
// "X": 0.7197452187538147,
// "Y": 0.5893719792366028
// },
// {
// "X": 0.6353503465652466,
// "Y": 0.5893719792366028
// }
// ]
// },
// "Id": 6,
// "ParentId": 1,
// "Type": "WORD"
// },
// {
// "Confidence": 99.78804779052734,
// "DetectedText": "keep",
// "Geometry": {
// "BoundingBox": {
// "Height": 0.07971014827489853,
// "Left": 0.7308917045593262,
// "Top": 0.5265700221061707,
// "Width": 0.1114649698138237
// },
// "Polygon": [
// {
// "X": 0.7308917045593262,
// "Y": 0.5265700221061707
// },
// {
// "X": 0.8423566818237305,
// "Y": 0.5265700221061707
// },
// {
// "X": 0.8423566818237305,
// "Y": 0.6062802076339722
// },
// {
// "X": 0.7308917045593262,
// "Y": 0.6062802076339722
// }
// ]
// },
// "Id": 7,
// "ParentId": 1,
// "Type": "WORD"
// },
// {
// "Confidence": 89.76324462890625,
// "DetectedText": "(",
// "Geometry": {
// "BoundingBox": {
// "Height": 0.16401274502277374,
// "Left": 0.27229300141334534,
// "Top": 0.6642512083053589,
// "Width": 0.2850286066532135
// },
// "Polygon": [
// {
// "X": 0.27229300141334534,
// "Y": 0.6642512083053589
// },
// {
// "X": 0.2707006335258484,
// "Y": 0.37922704219818115
// },
// {
// "X": 0.43471336364746094,
// "Y": 0.37922704219818115
// },
// {
// "X": 0.4363057315349579,
// "Y": 0.6642512083053589
// }
// ]
// },
// "Id": 3,
// "ParentId": 0,
// "Type": "WORD"
// },
// {
// "Confidence": 99.92333984375,
// "DetectedText": "Smiling",
// "Geometry": {
// "BoundingBox": {
// "Height": 0.294724702835083,
// "Left": 0.5079618096351624,
// "Top": 0.6304348111152649,
// "Width": 0.4734293222427368
// },
// "Polygon": [
// {
// "X": 0.5079618096351624,
// "Y": 0.6304348111152649
// },
// {
// "X": 0.9808917045593262,
// "Y": 0.6086956262588501
// },
// {
// "X": 0.9856687784194946,
// "Y": 0.9033816456794739
// },
// {
// "X": 0.512738823890686,
// "Y": 0.9227052927017212
// }
// ]
// },
// "Id": 8,
// "ParentId": 2,
// "Type": "WORD"
// }
// ],
// "TextModelVersion": "3.0"
// }
//
//
// Sample code for parsing the JSON response...
// Use the following online tool to generate parsing code from sample JSON:
// Generate Parsing Code from JSON
lcTextModelVersion = loJResp.StringOf("TextModelVersion")
i = 0
lnCount_i = loJResp.SizeOfArray("TextDetections")
do while i < lnCount_i
loJResp.I = i
lcConfidence = loJResp.StringOf("TextDetections[i].Confidence")
lcDetectedText = loJResp.StringOf("TextDetections[i].DetectedText")
lcGeometryBoundingBoxHeight = loJResp.StringOf("TextDetections[i].Geometry.BoundingBox.Height")
lcGeometryBoundingBoxLeft = loJResp.StringOf("TextDetections[i].Geometry.BoundingBox.Left")
lcGeometryBoundingBoxTop = loJResp.StringOf("TextDetections[i].Geometry.BoundingBox.Top")
lcGeometryBoundingBoxWidth = loJResp.StringOf("TextDetections[i].Geometry.BoundingBox.Width")
lnId = loJResp.IntOf("TextDetections[i].Id")
lcV_Type = loJResp.StringOf("TextDetections[i].Type")
lnParentId = loJResp.IntOf("TextDetections[i].ParentId")
j = 0
lnCount_j = loJResp.SizeOfArray("TextDetections[i].Geometry.Polygon")
do while j < lnCount_j
loJResp.J = j
X = loJResp.StringOf("TextDetections[i].Geometry.Polygon[j].X")
Y = loJResp.StringOf("TextDetections[i].Geometry.Polygon[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
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