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(Delphi ActiveX) 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
uses Winapi.Windows, Winapi.Messages, System.SysUtils, System.Variants, System.Classes, Vcl.Graphics, Vcl.Controls, Vcl.Forms, Vcl.Dialogs, Vcl.StdCtrls, Chilkat_TLB; ... procedure TForm1.Button1Click(Sender: TObject); var rest: TChilkatRest; success: Integer; authAws: TChilkatAuthAws; bTls: Integer; port: Integer; bAutoReconnect: Integer; bdJpg: TChilkatBinData; sbJpg: TChilkatStringBuilder; json: TChilkatJsonObject; sbRequestBody: TChilkatStringBuilder; sbResponseBody: TChilkatStringBuilder; respStatusCode: Integer; jResp: TChilkatJsonObject; Confidence: WideString; DetectedText: WideString; GeometryBoundingBoxHeight: WideString; GeometryBoundingBoxLeft: WideString; GeometryBoundingBoxTop: WideString; GeometryBoundingBoxWidth: WideString; Id: Integer; v_Type: WideString; ParentId: Integer; j: Integer; count_j: Integer; X: WideString; Y: WideString; TextModelVersion: WideString; i: Integer; count_i: Integer; begin rest := TChilkatRest.Create(Self); authAws := TChilkatAuthAws.Create(Self); 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.ControlInterface); // 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) then begin Memo1.Lines.Add('ConnectFailReason: ' + IntToStr(rest.ConnectFailReason)); Memo1.Lines.Add(rest.LastErrorText); Exit; end; // 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 := TChilkatBinData.Create(Self); success := bdJpg.LoadFile('qa_data/jpg/monday_keep_smiling.jpg'); if (success <> 1) then begin Memo1.Lines.Add('Failed to load the input JPG file.'); Exit; end; // 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. sbJpg := TChilkatStringBuilder.Create(Self); bdJpg.GetEncodedSb('base64',sbJpg.ControlInterface); json := TChilkatJsonObject.Create(Self); json.UpdateSb('Image.Bytes',sbJpg.ControlInterface); rest.AddHeader('Content-Type','application/x-amz-json-1.1'); rest.AddHeader('X-Amz-Target','RekognitionService.DetectText'); sbRequestBody := TChilkatStringBuilder.Create(Self); json.EmitSb(sbRequestBody.ControlInterface); sbResponseBody := TChilkatStringBuilder.Create(Self); success := rest.FullRequestSb('POST','/',sbRequestBody.ControlInterface,sbResponseBody.ControlInterface); if (success <> 1) then begin Memo1.Lines.Add(rest.LastErrorText); Exit; end; respStatusCode := rest.ResponseStatusCode; Memo1.Lines.Add('response status code = ' + IntToStr(respStatusCode)); if (respStatusCode >= 400) then begin Memo1.Lines.Add('Response Status Code = ' + IntToStr(respStatusCode)); Memo1.Lines.Add('Response Header:'); Memo1.Lines.Add(rest.ResponseHeader); Memo1.Lines.Add('Response Body:'); Memo1.Lines.Add(sbResponseBody.GetAsString()); Exit; end; jResp := TChilkatJsonObject.Create(Self); jResp.LoadSb(sbResponseBody.ControlInterface); jResp.EmitCompact := 0; Memo1.Lines.Add(jResp.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 TextModelVersion := jResp.StringOf('TextModelVersion'); i := 0; count_i := jResp.SizeOfArray('TextDetections'); while i < count_i do begin jResp.I := i; Confidence := jResp.StringOf('TextDetections[i].Confidence'); DetectedText := jResp.StringOf('TextDetections[i].DetectedText'); GeometryBoundingBoxHeight := jResp.StringOf('TextDetections[i].Geometry.BoundingBox.Height'); GeometryBoundingBoxLeft := jResp.StringOf('TextDetections[i].Geometry.BoundingBox.Left'); GeometryBoundingBoxTop := jResp.StringOf('TextDetections[i].Geometry.BoundingBox.Top'); GeometryBoundingBoxWidth := jResp.StringOf('TextDetections[i].Geometry.BoundingBox.Width'); Id := jResp.IntOf('TextDetections[i].Id'); v_Type := jResp.StringOf('TextDetections[i].Type'); ParentId := jResp.IntOf('TextDetections[i].ParentId'); j := 0; count_j := jResp.SizeOfArray('TextDetections[i].Geometry.Polygon'); while j < count_j do begin jResp.J := j; X := jResp.StringOf('TextDetections[i].Geometry.Polygon[j].X'); Y := jResp.StringOf('TextDetections[i].Geometry.Polygon[j].Y'); j := j + 1; end; i := i + 1; end; end; |
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