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Tcl

Amazon Rekognition - Detect Text in an Image

See more Amazon Rekognition Examples

Detects text in the input image and converts it into machine-readable text. This example passes theimage as base64-encoded image bytes.

Chilkat Tcl Downloads

Tcl

load ./chilkat.dll

set success 0

set rest [new_CkRest]

set authAws [new_CkAuthAws]

CkAuthAws_put_AccessKey $authAws "AWS_ACCESS_KEY"
CkAuthAws_put_SecretKey $authAws "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.)
CkAuthAws_put_Region $authAws "us-west-2"
CkAuthAws_put_ServiceName $authAws "rekognition"
#  SetAuthAws causes Chilkat to automatically add the following headers: Authorization, X-Amz-Date
CkRest_SetAuthAws $rest $authAws

#  URL: https://rekognition.us-west-2.amazonaws.com/
set bTls 1
set port 443
set bAutoReconnect 1
#  Don't forget to change the region domain (us-west-2.amazonaws.com) to your particular region.
set success [CkRest_Connect $rest "rekognition.us-west-2.amazonaws.com" $port $bTls $bAutoReconnect]
if {$success != 1} then {
    puts "ConnectFailReason: [CkRest_get_ConnectFailReason $rest]"
    puts [CkRest_lastErrorText $rest]
    delete_CkRest $rest
    delete_CkAuthAws $authAws
    exit
}

#  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.
set bdJpg [new_CkBinData]

set success [CkBinData_LoadFile $bdJpg "qa_data/jpg/monday_keep_smiling.jpg"]
if {$success != 1} then {
    puts "Failed to load the input JPG file."
    delete_CkRest $rest
    delete_CkAuthAws $authAws
    delete_CkBinData $bdJpg
    exit
}

#  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:
#  image

#  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.
set sbJpg [new_CkStringBuilder]

CkBinData_GetEncodedSb $bdJpg "base64" $sbJpg

set json [new_CkJsonObject]

CkJsonObject_UpdateSb $json "Image.Bytes" $sbJpg

CkRest_AddHeader $rest "Content-Type" "application/x-amz-json-1.1"
CkRest_AddHeader $rest "X-Amz-Target" "RekognitionService.DetectText"

set sbRequestBody [new_CkStringBuilder]

CkJsonObject_EmitSb $json $sbRequestBody
set sbResponseBody [new_CkStringBuilder]

set success [CkRest_FullRequestSb $rest "POST" "/" $sbRequestBody $sbResponseBody]
if {$success != 1} then {
    puts [CkRest_lastErrorText $rest]
    delete_CkRest $rest
    delete_CkAuthAws $authAws
    delete_CkBinData $bdJpg
    delete_CkStringBuilder $sbJpg
    delete_CkJsonObject $json
    delete_CkStringBuilder $sbRequestBody
    delete_CkStringBuilder $sbResponseBody
    exit
}

set respStatusCode [CkRest_get_ResponseStatusCode $rest]
puts "response status code = $respStatusCode"

if {$respStatusCode >= 400} then {
    puts "Response Status Code = $respStatusCode"
    puts "Response Header:"
    puts [CkRest_responseHeader $rest]
    puts "Response Body:"
    puts [CkStringBuilder_getAsString $sbResponseBody]
    delete_CkRest $rest
    delete_CkAuthAws $authAws
    delete_CkBinData $bdJpg
    delete_CkStringBuilder $sbJpg
    delete_CkJsonObject $json
    delete_CkStringBuilder $sbRequestBody
    delete_CkStringBuilder $sbResponseBody
    exit
}

set jResp [new_CkJsonObject]

CkJsonObject_LoadSb $jResp $sbResponseBody

CkJsonObject_put_EmitCompact $jResp 0
puts [CkJsonObject_emit $jResp]

#  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

set TextModelVersion [CkJsonObject_stringOf $jResp "TextModelVersion"]
set i 0
set count_i [CkJsonObject_SizeOfArray $jResp "TextDetections"]
while {$i < $count_i} {
    CkJsonObject_put_I $jResp $i
    set Confidence [CkJsonObject_stringOf $jResp "TextDetections[i].Confidence"]
    set DetectedText [CkJsonObject_stringOf $jResp "TextDetections[i].DetectedText"]
    set GeometryBoundingBoxHeight [CkJsonObject_stringOf $jResp "TextDetections[i].Geometry.BoundingBox.Height"]
    set GeometryBoundingBoxLeft [CkJsonObject_stringOf $jResp "TextDetections[i].Geometry.BoundingBox.Left"]
    set GeometryBoundingBoxTop [CkJsonObject_stringOf $jResp "TextDetections[i].Geometry.BoundingBox.Top"]
    set GeometryBoundingBoxWidth [CkJsonObject_stringOf $jResp "TextDetections[i].Geometry.BoundingBox.Width"]
    set Id [CkJsonObject_IntOf $jResp "TextDetections[i].Id"]
    set v_Type [CkJsonObject_stringOf $jResp "TextDetections[i].Type"]
    set ParentId [CkJsonObject_IntOf $jResp "TextDetections[i].ParentId"]
    set j 0
    set count_j [CkJsonObject_SizeOfArray $jResp "TextDetections[i].Geometry.Polygon"]
    while {$j < $count_j} {
        CkJsonObject_put_J $jResp $j
        set X [CkJsonObject_stringOf $jResp "TextDetections[i].Geometry.Polygon[j].X"]
        set Y [CkJsonObject_stringOf $jResp "TextDetections[i].Geometry.Polygon[j].Y"]
        set j [expr $j + 1]
    }
    set i [expr $i + 1]
}

delete_CkRest $rest
delete_CkAuthAws $authAws
delete_CkBinData $bdJpg
delete_CkStringBuilder $sbJpg
delete_CkJsonObject $json
delete_CkStringBuilder $sbRequestBody
delete_CkStringBuilder $sbResponseBody
delete_CkJsonObject $jResp