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(Visual FoxPro) Amazon Rekognition - Detect Text in an ImageSee more Amazon Rekognition ExamplesDetects 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
LOCAL loRest LOCAL lnSuccess LOCAL loAuthAws LOCAL lnBTls LOCAL lnPort LOCAL lnBAutoReconnect LOCAL loBdJpg LOCAL loSbJpg LOCAL loJson LOCAL loSbRequestBody LOCAL loSbResponseBody LOCAL lnRespStatusCode LOCAL loJResp LOCAL lcConfidence LOCAL lcDetectedText LOCAL lcGeometryBoundingBoxHeight LOCAL lcGeometryBoundingBoxLeft LOCAL lcGeometryBoundingBoxTop LOCAL lcGeometryBoundingBoxWidth LOCAL lnId LOCAL lcV_Type LOCAL lnParentId LOCAL j LOCAL lnCount_j LOCAL X LOCAL Y LOCAL lcTextModelVersion LOCAL i LOCAL lnCount_i * For versions of Chilkat < 10.0.0, use CreateObject('Chilkat_9_5_0.Rest') loRest = CreateObject('Chilkat.Rest') * For versions of Chilkat < 10.0.0, use CreateObject('Chilkat_9_5_0.AuthAws') 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. * For versions of Chilkat < 10.0.0, use CreateObject('Chilkat_9_5_0.BinData') loBdJpg = CreateObject('Chilkat.BinData') lnSuccess = loBdJpg.LoadFile("qa_data/jpg/monday_keep_smiling.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" * } * } * 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 CreateObject('Chilkat_9_5_0.StringBuilder') loSbJpg = CreateObject('Chilkat.StringBuilder') loBdJpg.GetEncodedSb("base64",loSbJpg) * For versions of Chilkat < 10.0.0, use CreateObject('Chilkat_9_5_0.JsonObject') loJson = CreateObject('Chilkat.JsonObject') loJson.UpdateSb("Image.Bytes",loSbJpg) loRest.AddHeader("Content-Type","application/x-amz-json-1.1") loRest.AddHeader("X-Amz-Target","RekognitionService.DetectText") * For versions of Chilkat < 10.0.0, use CreateObject('Chilkat_9_5_0.StringBuilder') loSbRequestBody = CreateObject('Chilkat.StringBuilder') loJson.EmitSb(loSbRequestBody) * For versions of Chilkat < 10.0.0, use CreateObject('Chilkat_9_5_0.StringBuilder') 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 * For versions of Chilkat < 10.0.0, use CreateObject('Chilkat_9_5_0.JsonObject') 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) * { * "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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