Zig
Zig
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 Zig Downloads
const std = @import("std");
const chilkat = @import("chilkat");
pub fn main(init: std.process.Init) !void {
const alloc = init.arena.allocator();
const rest = try chilkat.Rest.init();
defer rest.deinit();
const auth_aws = try chilkat.AuthAws.init();
defer auth_aws.deinit();
auth_aws.setAccessKey("AWS_ACCESS_KEY");
auth_aws.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.)
auth_aws.setRegion("us-west-2");
auth_aws.setServiceName("rekognition");
// SetAuthAws causes Chilkat to automatically add the following headers: Authorization, X-Amz-Date
rest.setAuthAws(auth_aws) catch {};
// URL: https://rekognition.us-west-2.amazonaws.com/
const b_tls = true;
const port = 443;
const b_auto_reconnect = true;
// Don't forget to change the region domain (us-west-2.amazonaws.com) to your particular region.
rest.connect("rekognition.us-west-2.amazonaws.com", port, b_tls, b_auto_reconnect) catch {
std.debug.print("ConnectFailReason: {d}\n", .{rest.getConnectFailReason()});
std.debug.print("{s}\n", .{try rest.getLastErrorText(alloc)});
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.
const bd_jpg = try chilkat.BinData.init();
defer bd_jpg.deinit();
bd_jpg.loadFile("qa_data/jpg/monday_keep_smiling.jpg") catch {
std.debug.print("Failed to load the input JPG file.\n", .{});
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:
// (image:https://example-code.com/images/monday_keep_smiling.jpg/endImage)
// 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.
const sb_jpg = try chilkat.StringBuilder.init();
defer sb_jpg.deinit();
bd_jpg.getEncodedSb("base64", sb_jpg) catch {};
const json = try chilkat.JsonObject.init();
defer json.deinit();
json.updateSb("Image.Bytes", sb_jpg) catch {};
rest.addHeader("Content-Type", "application/x-amz-json-1.1") catch {};
rest.addHeader("X-Amz-Target", "RekognitionService.DetectText") catch {};
const sb_request_body = try chilkat.StringBuilder.init();
defer sb_request_body.deinit();
json.emitSb(sb_request_body) catch {};
const sb_response_body = try chilkat.StringBuilder.init();
defer sb_response_body.deinit();
rest.fullRequestSb("POST", "/", sb_request_body, sb_response_body) catch {
std.debug.print("{s}\n", .{try rest.getLastErrorText(alloc)});
return;
};
const resp_status_code = rest.getResponseStatusCode();
std.debug.print("response status code = {d}\n", .{resp_status_code});
if (resp_status_code >= 400) {
std.debug.print("Response Status Code = {d}\n", .{resp_status_code});
std.debug.print("Response Header:\n", .{});
std.debug.print("{s}\n", .{try rest.getResponseHeader(alloc)});
std.debug.print("Response Body:\n", .{});
std.debug.print("{s}\n", .{try sb_response_body.getAsString(alloc)});
return;
}
const j_resp = try chilkat.JsonObject.init();
defer j_resp.deinit();
j_resp.loadSb(sb_response_body) catch {};
j_resp.setEmitCompact(false);
std.debug.print("{s}\n", .{try j_resp.emit(alloc)});
// 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: [:0]const u8 = "";
var detected_text: [:0]const u8 = "";
var geometry_bounding_box_height: [:0]const u8 = "";
var geometry_bounding_box_left: [:0]const u8 = "";
var geometry_bounding_box_top: [:0]const u8 = "";
var geometry_bounding_box_width: [:0]const u8 = "";
var id: i32 = 0;
var v_type: [:0]const u8 = "";
var parent_id: i32 = 0;
var j: i32 = 0;
var count_j: i32 = 0;
var x: [:0]const u8 = "";
var y: [:0]const u8 = "";
_ = try j_resp.stringOf(alloc, "TextModelVersion");
var i: i32 = 0;
const count_i = j_resp.sizeOfArray("TextDetections");
while (i < count_i) {
j_resp.setI(i);
confidence = try j_resp.stringOf(alloc, "TextDetections[i].Confidence");
detected_text = try j_resp.stringOf(alloc, "TextDetections[i].DetectedText");
geometry_bounding_box_height = try j_resp.stringOf(alloc, "TextDetections[i].Geometry.BoundingBox.Height");
geometry_bounding_box_left = try j_resp.stringOf(alloc, "TextDetections[i].Geometry.BoundingBox.Left");
geometry_bounding_box_top = try j_resp.stringOf(alloc, "TextDetections[i].Geometry.BoundingBox.Top");
geometry_bounding_box_width = try j_resp.stringOf(alloc, "TextDetections[i].Geometry.BoundingBox.Width");
id = j_resp.intOf("TextDetections[i].Id");
v_type = try j_resp.stringOf(alloc, "TextDetections[i].Type");
parent_id = j_resp.intOf("TextDetections[i].ParentId");
j = 0;
count_j = j_resp.sizeOfArray("TextDetections[i].Geometry.Polygon");
while (j < count_j) {
j_resp.setJ(j);
x = try j_resp.stringOf(alloc, "TextDetections[i].Geometry.Polygon[j].X");
y = try j_resp.stringOf(alloc, "TextDetections[i].Geometry.Polygon[j].Y");
j = j + 1;
}
i = i + 1;
}
}