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(Go) 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
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/monday_keep_smiling.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"
// }
// }
// 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)
rest.AddHeader("Content-Type","application/x-amz-json-1.1")
rest.AddHeader("X-Amz-Target","RekognitionService.DetectText")
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)
// {
// "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
var Confidence *string = new(string)
var DetectedText *string = new(string)
var GeometryBoundingBoxHeight *string = new(string)
var GeometryBoundingBoxLeft *string = new(string)
var GeometryBoundingBoxTop *string = new(string)
var GeometryBoundingBoxWidth *string = new(string)
var Id int
var v_Type *string = new(string)
var ParentId int
var j int
var count_j int
var X *string = new(string)
var Y *string = new(string)
TextModelVersion := jResp.StringOf("TextModelVersion")
i := 0
count_i := jResp.SizeOfArray("TextDetections")
for i < count_i {
jResp.SetI(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")
for j < count_j {
jResp.SetJ(j)
X = jResp.StringOf("TextDetections[i].Geometry.Polygon[j].X")
Y = jResp.StringOf("TextDetections[i].Geometry.Polygon[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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