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nanonets_openapi_3.1.0.yaml
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openapi: 3.1.0
info:
title: NanoNets
description: |
Welcome to [NanoNets](https://nanonets.com)' API Reference!
<br />
<br />
<br />
Use Postman to quickly test the API.
<br />
<br />
<a href="https://www.postman.com/run-collection/2fcb1195d85e7a98ad74" rel="noreferrer" target="_blank">
<img src="https://run.pstmn.io/button.svg" alt="Run in Postman" />
</a>
<br />
<br />
<br />
[Get an API Key](https://app.nanonets.com/#/keys)
contact:
name: NanoNets Support
url: "https://nanonets.com"
email: support@nanonets.com
license:
name: MIT
url: "https://github.com/NanoNets/api-docs/blob/main/LICENSE"
version: 2.0.0
x-logo:
url: "https://nanonets.com/logo2.png"
altText: NanoNets
servers:
- url: "https://app.nanonets.com/api/v2"
description: "NanoNets API v2"
paths:
/OCR/Model/{model_id}:
get:
tags:
- ocrModelDetails
summary: Get Model Details by ID
description: Retrieve a specific model's details given its ID.
operationId: "ocr/model/id"
parameters:
- $ref: "#/components/parameters/modelId"
responses:
"200":
$ref: "#/components/responses/modelObject"
"401":
$ref: "#/components/responses/unauthorized"
"402":
$ref: "#/components/responses/paymentRequired"
deprecated: false
x-codeSamples:
- lang: JavaScript
label: Node.js
source: >
var request = require('request')
const options = {
url : 'https://app.nanonets.com/api/v2/OCR/Model/' + 'REPLACE_MODEL_ID',
headers: {
'Authorization' : 'Basic ' + Buffer.from('[[.ApiKey]]' + ':').toString('base64')
}
}
request.get(options, function(err, httpResponse, body) {
console.log(body)
});
- lang: Python
label: Python
source: >
import requests
url = 'https://app.nanonets.com/api/v2/OCR/Model/' + {{model_id}}
response = requests.request('GET', url,
auth=requests.auth.HTTPBasicAuth('[[.ApiKey]]',''))
print(response.text)
- lang: Shell
label: CLI
source: |
curl --request GET \
--url 'https://app.nanonets.com/api/v2/OCR/Model/{{model_id}}' \
-u '[[.ApiKey]]'
- lang: Go
label: Go
source: |
package main
import (
"fmt"
"net/http"
"io/ioutil"
)
func main() {
url := "https://app.nanonets.com/api/v2/OCR/Model/" + {{model_id}}
req, _ := http.NewRequest("GET", url, nil)
req.SetBasicAuth("[[.ApiKey]]", "")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := ioutil.ReadAll(res.Body)
fmt.Println(res)
fmt.Println(string(body))
}
- lang: Ruby
label: Ruby
source: >
require 'uri'
require 'net/http'
url = URI('https://app.nanonets.com/api/v2/OCR/Model/' + {{model_id}})
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
request.basic_auth '[[.ApiKey]]', ''
response = http.request(request)
puts response.read_body
- lang: "C#"
label: "C#"
source: >
var client = new RestClient("https://app.nanonets.com/api/v2/OCR/Model/" + {{model_id}});
var request = new RestRequest(Method.GET);
request.AddHeader("authorization", "Basic " + Convert.ToBase64String(Encoding.Default.GetBytes("[[.ApiKey]]:")));
IRestResponse response = client.Execute(request);
- lang: Java
label: Java
source: |
OkHttpClient client = new OkHttpClient();
Request request = new Request.Builder()
.url("https://app.nanonets.com/api/v2/OCR/Model/" + {{model_id}})
.get()
.addHeader("authorization", Credentials.basic("[[.ApiKey]]", ""))
.build();
Response response = client.newCall(request).execute();
/OCR/Model/{model_id}/UploadUrls:
post:
tags:
- ocrUpload
summary: Upload Training Images by URLs
description: |
Upload training images to a model using image URLs.
Multiple images can be uploaded in the same request by adding more URLs in the `urls` array.
On successful upload, model information along with the total number of images per category will be received.
operationId: "ocr/upload/url"
parameters:
- $ref: "#/components/parameters/contentType"
- $ref: "#/components/parameters/modelId"
requestBody:
$ref: "#/components/requestBodies/urls"
responses:
"200":
$ref: "#/components/responses/ok"
"202":
$ref: "#/components/responses/partiallySuccessfulURL"
"400":
$ref: "#/components/responses/missingURL"
"401":
$ref: "#/components/responses/unauthorized"
"402":
$ref: "#/components/responses/paymentRequired"
"404":
$ref: "#/components/responses/notFound"
deprecated: false
x-codeSamples:
- lang: JavaScript
label: Node.js
source: >
var request = require('request')
const form_data = {"data": [{"filename":"https://nanonets.s3-us-west-2.amazonaws.com/test-images/test1.jpg", "object": [{"name":"category1", "ocr_text":"text inside the bounding box", "bndbox": {"xmin": 1,"ymin": 1,"xmax": 100, "ymax": 100}}, {"name":"category2", "bndbox": {"xmin": 1,"ymin": 1,"xmax": 100, "ymax": 100}}]}], "urls": ["https://nanonets.s3-us-west-2.amazonaws.com/test-images/test1.jpg"]}
const options = {
url : 'https://app.nanonets.com/api/v2/OCR/Model/{model_id}/UploadUrls/',
body: JSON.stringify(form_data),
headers: {
'Authorization' : 'Basic ' + Buffer.from('[[.ApiKey]]' + ':').toString('base64'),
'Content-Type': ""application/json""
}
}
request.post(options, function(err, httpResponse, body) {
console.log(body)
});
- lang: Python
label: Python
source: |
import requests
url = "https://app.nanonets.com/api/v2/OCR/Model/{model_id}/UploadUrls/"
payload = "{\"data\": [{\"filename\":\"https://nanonets.s3-us-west-2.amazonaws.com/test-images/test1.jpg\", \"object\": [{\"name\":\"category1\", \"ocr_text\":\"text inside the bounding box\", \"bndbox\": {\"xmin\": 1,\"ymin\": 1,\"xmax\": 100, \"ymax\": 100}}, {\"name\":\"category2\", \"bndbox\": {\"xmin\": 1,\"ymin\": 1,\"xmax\": 100, \"ymax\": 100}}]}], \"urls\": [\"https://nanonets.s3-us-west-2.amazonaws.com/test-images/test1.jpg\"]}"
headers = {
'Content-Type': ""application/json""
}
response = requests.request("POST", url, auth=requests.auth.HTTPBasicAuth('[[.ApiKey]]', ''), data=payload, headers=headers)
print(response.text)
- lang: Shell
label: CLI
source: |
curl --request POST \
--url https://app.nanonets.com/api/v2/OCR/Model/{model_id}/UploadUrls/ \
-u '[[.ApiKey]]' \
-H 'Content-Type: "application/json"' \
--data '{"data": [{"filename":"https://nanonets.s3-us-west-2.amazonaws.com/test-images/test1.jpg", "object": [{"name":"category1", "ocr_text":"text inside the bounding box", "bndbox": {"xmin": 1,"ymin": 1,"xmax": 100, "ymax": 100}}, {"name":"category2", "bndbox": {"xmin": 1,"ymin": 1,"xmax": 100, "ymax": 100}}]}], "urls": ["https://nanonets.s3-us-west-2.amazonaws.com/test-images/test1.jpg"]}'
- lang: Go
label: Go
source: |
package main
import (
"fmt"
"io/ioutil"
"net/http"
"strings"
)
func main() {
url := "https://app.nanonets.com/api/v2/OCR/Model/REPLACE_MODEL_ID/UploadUrls/"
payload := strings.NewReader("{\"data\": [{\"filename\":\"https://nanonets.s3-us-west-2.amazonaws.com/test-images/test1.jpg\", \"object\": [{\"name\":\"category1\", \"ocr_text\":\"text inside the bounding box\", \"bndbox\": {\"xmin\": 1,\"ymin\": 1,\"xmax\": 100, \"ymax\": 100}}, {\"name\":\"category2\", \"bndbox\": {\"xmin\": 1,\"ymin\": 1,\"xmax\": 100, \"ymax\": 100}}]}], \"urls\": [\"https://nanonets.s3-us-west-2.amazonaws.com/test-images/test1.jpg\"]}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Content-Type", ""application/json"")
req.SetBasicAuth("[[.ApiKey]]", "")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := ioutil.ReadAll(res.Body)
fmt.Println(res)
fmt.Println(string(body))
}
- lang: Ruby
label: Ruby
source: |
require 'uri'
require 'net/http'
url = URI("https://app.nanonets.com/api/v2/OCR/Model/REPLACE_MODEL_ID/UploadUrls/")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Content-Type"] = '"application/json"'
request.basic_auth '[[.ApiKey]]', ''
request.body = "{\"data\": [{\"filename\":\"https://nanonets.s3-us-west-2.amazonaws.com/test-images/test1.jpg\", \"object\": [{\"name\":\"category1\", \"ocr_text\":\"text inside the bounding box\", \"bndbox\": {\"xmin\": 1,\"ymin\": 1,\"xmax\": 100, \"ymax\": 100}}, {\"name\":\"category2\", \"bndbox\": {\"xmin\": 1,\"ymin\": 1,\"xmax\": 100, \"ymax\": 100}}]}], \"urls\": [\"https://nanonets.s3-us-west-2.amazonaws.com/test-images/test1.jpg\"]}"
response = http.request(request)
puts response.read_body"
- lang: "C#"
label: "C#"
source: >
var client = new
RestClient("https://app.nanonets.com/api/v2/OCR/Model/REPLACE_MODEL_ID/UploadUrls/");
var request = new RestRequest(Method.POST);
request.AddHeader("authorization", "Basic [[.ApiKey]]");
request.AddHeader("Content-Type", ""application/json"");
request.AddParameter("undefined", "
{"data": [{"filename":"https://nanonets.s3-us-west-2.amazonaws.com/test-images/test1.jpg", "object":
[{"name":"category1", "ocr_text": "text inside the bounding box", "bndbox": {"xmin": 1,"ymin":
1,"xmax": 100, "ymax": 100}}, {"name":"category2", "ocr_text": "text inside the bounding box",
"bndbox": {"xmin": 1,"ymin": 1,"xmax": 100, "ymax":
100}}]}], "urls": ["https://nanonets.s3-us-west-2.amazonaws.com/test-images/test1.jpg"]}",
ParameterType.RequestBody);
IRestResponse response = client.Execute(request);
- lang: Java
label: Java
source: >
OkHttpClient client = new OkHttpClient();
MediaType mediaType =
MediaType.parse(""application/json"");
RequestBody body = RequestBody.create(mediaType, "
{"data": [{"filename":"https://nanonets.s3-us-west-2.amazonaws.com/test-images/test1.jpg", "object":
[{"name":"category1", "ocr_text": "text inside the bounding box", "bndbox": {"xmin": 1,"ymin":
1,"xmax": 100, "ymax": 100}}, {"name":"category2", "ocr_text": "text inside the bounding box",
"bndbox": {"xmin": 1,"ymin": 1,"xmax": 100, "ymax":
100}}]}], "urls": ["https://nanonets.s3-us-west-2.amazonaws.com/test-images/test1.jpg"]}");
Request request = new Request.Builder()
.url("https://app.nanonets.com/api/v2/OCR/Model/REPLACE_MODEL_ID/UploadUrls/")
.post(body)
.addHeader("Content-Type", ""application/json"")
.addHeader("Authorization", Credentials.basic("[[.ApiKey]]", ""))
.build();
Response response = client.newCall(request).execute();
/OCR/Model/{model_id}/UploadFile:
post:
tags:
- ocrUpload
summary: Upload Training Images by File
description: |
Upload a training image to the specified model using a locally stored file.
On successful upload, model information along with the total number of images per category will be received.
<br />
<br />
**NOTE**: Batch file uploads are not supported by this end point.
operationId: "ocr/upload/file"
parameters:
- $ref: "#/components/parameters/modelId"
requestBody:
description: The parameters to be sent in the request's body.
content:
"multipart/form-data":
schema:
type: object
required:
- data
- file
properties:
data:
type: string
description: |
The name of the file to be uploaded.
<br />
**Format**: `"data": "[{"filename": "filename.ext"}]"`.
<br />
**NOTE**: The `filename` must be the same as the uploaded file name.
file:
$ref: "#/components/schemas/file"
encoding:
file:
contentType: "image/png, image/jpeg, application/pdf"
required: true
responses:
"200":
$ref: "#/components/responses/ok"
"400":
description: |
- File missing. Check if the file has been included in the request.
- Incorrect file type. Check if file you included is a valid PNG, JPEG or PDF file.
x-summary: BAD REQUEST
"401":
$ref: "#/components/responses/unauthorized"
"402":
$ref: "#/components/responses/paymentRequired"
"404":
$ref: "#/components/responses/notFound"
deprecated: false
x-codeSamples:
- lang: JavaScript
label: Node.js
source: >
var request = require('request')
var fs = require('fs')
const form_data = {'file' : fs.createReadStream('REPLACE_IMAGE_PATH.jpg'), 'data' : JSON.stringify([
{"filename":"REPLACE_IMAGE_FILENAME.jpg", "object":[{"name":"category1", "ocr_text":"text inside the bounding box", "bndbox": {"xmin": 1,"ymin":1,"xmax": 100, "ymax": 100}}]}])}
const options = {
url : 'https://app.nanonets.com/api/v2/OCR/Model/{{model_id}}/UploadFile/',
formData: form_data,
headers: {
'Authorization' : 'Basic ' + Buffer.from('[[.ApiKey]]' + ':').toString('base64')
}
}
request.post(options, function(err, httpResponse, body) {
console.log(body)
});
- lang: Python
label: Python
source: >
import requests
url = 'https://app.nanonets.com/api/v2/OCR/Model/{{model_id}}/UploadFile/'
data = {'file' :open('REPLACE_IMAGE_PATH.jpg', 'rb'), 'data' :('',
'[{"filename":"REPLACE_IMAGE_FILENAME.jpg", "object":
[{"name":"category1", "ocr_text":"text inside the bounding box", "bndbox": {"xmin": 1,"ymin":
1,"xmax": 100, "ymax": 100}}]}]')}
response = requests.post(url, auth=requests.auth.HTTPBasicAuth('[[.ApiKey]]', ''), files=data)
print(response.text)
- lang: Shell
label: CLI
source: |
curl --request POST \
--url 'https://app.nanonets.com/api/v2/OCR/Model/{{model_id}}/UploadFile/' \
--header 'Accept: multipart/form-data' \
-u '[[.ApiKey]]' \
-F 'data=[{"filename":"REPLACE_IMAGE_FILENAME.jpg", "object": [{"name":"category1", "ocr_text":"text inside the bounding box", "bndbox": {"xmin": 1,"ymin": 1,"xmax": 100, "ymax": 100}}]}]' \
-F 'file=@REPLACE_IMAGE_PATH.jpg'
- lang: Go
label: Go
source: |
package main
import (
"bytes"
"fmt"
"io"
"io/ioutil"
"mime/multipart"
"net/http"
"os"
"path/filepath"
)
func main() {
url := "https://app.nanonets.com/api/v2/OCR/Model/{{model_id}}/UploadFile/"
file, err := os.Open("test.jpg")
if err != nil {
fmt.Println(err)
return
}
defer file.Close()
body := &bytes.Buffer{}
writer := multipart.NewWriter(body)
part, err := writer.CreateFormFile("file", filepath.Base("test.jpg"))
if err != nil {
fmt.Println(err)
return
}
_, err = io.Copy(part, file)
writer.WriteField("data", `[{"filename":"REPLACE_IMAGE_FILENAME.jpg", "object": [{"name":"category1", "ocr_text":"text inside the bounding box", "bndbox": {"xmin": 1,"ymin": 1,"xmax": 100, "ymax": 100}}]}]`)
contentType := writer.FormDataContentType()
err = writer.Close()
if err != nil {
fmt.Println(err)
return
}
req, _ := http.NewRequest("POST", url, body)
req.Header.Add("Content-Type", contentType)
req.SetBasicAuth("[[.ApiKey]]", "")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
outputBody, _ := ioutil.ReadAll(res.Body)
fmt.Println(res)
fmt.Println(string(outputBody))
}
- lang: Ruby
label: Ruby
source: |
require 'uri'
require 'net/http'
require 'net/http/post/multipart'
url = URI('https://app.nanonets.com/api/v2/OCR/Model/{{model_id}}/UploadFile/')
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
File.open('REPLACE_IMAGE_PATH.jpg') do |jpg|
request = Net::HTTP::Post::Multipart.new url.path,
'file' => UploadIO.new(jpg, 'image/jpeg', 'REPLACE_IMAGE_PATH.jpg'),
'data' => '[{"filename":"REPLACE_IMAGE_FILENAME.jpg", "object":[{"name":"category1", "ocr_text":"text inside the bounding box", "bndbox":{"xmin":1,"ymin":1,"xmax":100, "ymax":100}}]}]'
request.basic_auth '[[.ApiKey]]', ''
response = Net::HTTP.start(url.host, url.port) do |http|
http.request(request)
end
puts response.read_body
end
- lang: "C#"
label: "C#"
source: |
var client = new RestClient("https://app.nanonets.com/api/v2/OCR/UploadFile/");
var request = new RestRequest(Method.POST);
request.AddHeader("Authorization", "Basic [[.ApiKey]]");
request.AddHeader("Accept", "multipart/form-data");
request.AddParameter("data", "[{\"filename\":\"REPLACE_IMAGE_FILENAME.jpg\", \"object\": [{\"name\":\"category1\", \"ocr_text\":\"text inside the bounding box\", \"bndbox\": {\"xmin\": 1,\"ymin\": 1,\"xmax\": 100, \"ymax\": 100}}]}]");
request.AddFile("file", "REPLACE_IMAGE_PATH.jpg");
IRestResponse response = client.Execute(request);"
- lang: Java
label: Java
source: |
private static final MediaType MEDIA_TYPE_JPG = MediaType.parse("image/jpeg");
OkHttpClient client = new OkHttpClient();
RequestBody requestBody = new MultipartBody.Builder()
.setType(MultipartBody.FORM)
.addFormDataPart("data", "[{\"filename\":\"REPLACE_IMAGE_FILENAME.jpg\", \"object\": [{\"name\":\"category1\", \"ocr_text\":\"text inside the bounding box\", \"bndbox\": {\"xmin\": 1,\"ymin\": 1,\"xmax\": 100, \"ymax\": 100}}]}]")
.addFormDataPart("file", "REPLACE_IMAGE_PATH.jpg", RequestBody.create(MEDIA_TYPE_JPG, new File("REPLACE_IMAGE_PATH.jpg")))
.build();
request = new Request.Builder()
.url("https://app.nanonets.com/api/v2/OCR/Model/{{model_id}}/UploadFile/")
.post(requestBody)
.addHeader("Authorization", Credentials.basic("[[.ApiKey]]", ""))
.build();
Response response = client.newCall(request).execute();"
/OCR/Model/{model_id}/Train:
post:
tags:
- ocrTrain
summary: Train Model
description: |
Train a model after uploading files to the model.
The same end point is to be used to re-train a model after uploading more files to improve the model.
operationId: "ocr/train"
parameters:
- $ref: "#/components/parameters/modelId"
responses:
"200":
description: Request successful.
content:
"application/json":
schema:
type: object
examples:
ok:
summary: Request successful
description: >
200 OK: Request successful
value:
model_id: 00000000-0000-0000-0000-000000000000
model_type: ocr
state: 0
categories:
- name: category1
count: 0
- name: category2
count: 0
x-summary: OK
"400":
description: Model not ready for training. Check if the files for the model are uploaded.
x-summary: BAD REQUEST
"401":
$ref: "#/components/responses/unauthorized"
"402":
description: This feature is only supported for paid models. ([Pricing](https://nanonets.com/pricing))
x-summary: PAYMENT REQUIRED
"404":
$ref: "#/components/responses/notFound"
deprecated: false
x-codeSamples:
- lang: JavaScript
label: Node.js
source: >
var request = require('request')
const options = {
url : 'https://app.nanonets.com/api/v2/OCR/Model/{{model_id}}/Train/',
headers: {
'Authorization' : 'Basic ' + Buffer.from('[[.ApiKey]]' + ':').toString('base64')
}
}
request.post(options, function(err, httpResponse, body) {
console.log(body)
});
- lang: Python
label: Python
source: |
import requests
url = 'https://app.nanonets.com/api/v2/OCR/Model/{{model_id}}/Train/'
response = requests.request('POST', url, auth=requests.auth.HTTPBasicAuth('[[.ApiKey]]', ''))
print(response.text)
- lang: Shell
label: CLI
source: |
curl --request POST \
--url 'https://app.nanonets.com/api/v2/OCR/REPLACE_MODEL_ID/Train/' \
-u '[[.ApiKey]]'
- lang: Go
label: Go
source: |
package main
import (
"fmt"
"net/http"
"io/ioutil"
)
func main() {
url := "https://app.nanonets.com/api/v2/OCR/Model/{{model_id}}/Train/"
req, _ := http.NewRequest("POST", url, nil)
req.SetBasicAuth("[[.ApiKey]]", "")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := ioutil.ReadAll(res.Body)
fmt.Println(res)
fmt.Println(string(body))
}
- lang: Ruby
label: Ruby
source: >
require 'uri'
require 'net/http'
url = URI('https://app.nanonets.com/api/v2/OCR/Model/{{model_id}}/Train/')
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request.basic_auth '[[.ApiKey]]', ''
response = http.request(request)
puts response.read_body
- lang: "C#"
label: "C#"
source: >
var client = new
RestClient("https://app.nanonets.com/api/v2/OCR/Model/{{model_id}}/Train/");
var request = new RestRequest(Method.POST);
request.AddHeader("authorization", "Basic [[.ApiKey]]");
IRestResponse response = client.Execute(request);
- lang: Java
label: Java
source: |
OkHttpClient client = new OkHttpClient();
Request request = new Request.Builder()
.url("https://app.nanonets.com/api/v2/OCR/Model/{{model_id}}/Train/")
.post(null)
.addHeader("Authorization", Credentials.basic("[[.ApiKey]]", ""))
.build();
Response response = client.newCall(request).execute();
/Inferences/Model/{model_id}/ImageLevelInferences:
get:
tags:
- ocrPredict
summary: Get All Prediction Files
description: Retrieve the files that have been processed by the prediction end points.
operationId: "ocr/predict/getFile"
parameters:
- $ref: "#/components/parameters/modelId"
- name: start_day_interval
in: query
description: |
The start of the interval for which prediction files are needed.
<br />
**Format**: Number of days since [Unix epoch time](https://www.epochconverter.com)
<br />
**Eg**: 1620130500 seconds / 86400 seconds per day ~ `18,751` days
required: true
schema:
type: integer
- name: current_batch_day
in: query
description: |
The end of the interval for which prediction files are needed.
<br />
**Format**: Number of days since [Unix epoch time](https://www.epochconverter.com)
<br />
**Eg**: 1630930872 seconds / 86400 seconds per day ~ `18,876` days
<br />
**NOTE**: The value of this parameter has to be greater than the value of the [`start_day_interval` parameter](#operation/ocr/predict/getfile!in=query&path=start_day_interval&t=request).
required: true
schema:
type: integer
responses:
"200":
description: Image object.
content:
"application/json":
schema:
type: object
examples:
ok:
summary: Request successful.
description: >
200 OK: Request successful
value:
moderated_images_count: 55
unmoderated_images_count: 156
moderated_images:
- model_id: category1
day_since_epoch: 18564
is_moderated: true
hour_of_day: 15
id: 00000000-0000-0000-0000-000000000000
url: uploadedfiles/00000000-0000-0000-0000-000000000000/PredictionImages/0000000001.jpeg
predicted_boxes:
- label: invoice_id
xmin: 616
ymin: 321
xmax: 984
ymax: 357
ocr_text: "877541"
unmoderated_images:
- model_id: 00000000-0000-0000-0000-000000000000
day_since_epoch: 18565
is_moderated: false
hour_of_day: 23
id: 00000000-0000-0000-0000-000000000000
url: uploadedfiles/00000000-0000-0000-0000-000000000000/PredictionImages/0000000002.jpeg
predicted_boxes:
- label: seller_name
xmin: 616
ymin: 321
xmax: 984
ymax: 357
ocr_text: "Apple"
x-summary: OK
"401":
$ref: "#/components/responses/unauthorized"
"402":
$ref: "#/components/responses/paymentRequired"
"404":
$ref: "#/components/responses/notFound"
deprecated: false
x-codeSamples:
- lang: JavaScript
label: Node.js
source: >
var request = require('request')
const options = {
url : 'https://app.nanonets.com/api/v2/Inferences/Model/' + 'REPLACE_MODEL_ID' + '/ImageLevelInferences?start_day_interval={start_day}¤t_batch_day={end_day}',
headers: {
'Authorization' : 'Basic ' + Buffer.from('[[.ApiKey]]' + ':').toString('base64')
}
}
request.get(options, function(err, httpResponse, body) {
console.log(body)
});
- lang: Python
label: Python
source: >
import requests
url = 'https://app.nanonets.com/api/v2/Inferences/Model/' + 'REPLACE_MODEL_ID' + '/ImageLevelInferences?start_day_interval={start_day}¤t_batch_day={end_day}'
response = requests.request('GET', url,
auth=requests.auth.HTTPBasicAuth('[[.ApiKey]]',''))
print(response.text)
- lang: Shell
label: CLI
source: |
curl --request GET \
--url 'https://app.nanonets.com/api/v2/Inferences/Model/{{model_id}}/ImageLevelInferences?start_day_interval={start_day}¤t_batch_day={end_day}' \
-u '[[.ApiKey]]'
- lang: Go
label: Go
source: |
package main
import (
"fmt"
"net/http"
"io/ioutil"
)
func main() {
url := "https://app.nanonets.com/api/v2/Inferences/Model/{{model_id}}/ImageLevelInferences?start_day_interval={start_day}¤t_batch_day={end_day}"
req, _ := http.NewRequest("GET", url, nil)
req.SetBasicAuth("[[.ApiKey]]", "")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := ioutil.ReadAll(res.Body)
fmt.Println(res)
fmt.Println(string(body))
}
- lang: Ruby
label: Ruby
source: >
require 'uri'
require 'net/http'
url = URI("https://app.nanonets.com/api/v2/Inferences/Model/{{model_id}}/ImageLevelInferences?start_day_interval={start_day}¤t_batch_day={end_day}")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
request.basic_auth '[[.ApiKey]]', ''
response = http.request(request)
puts response.read_body
- lang: "C#"
label: "C#"
source: >
var client = new RestClient("https://app.nanonets.com/api/v2/Inferences/Model/{{model_id}}/ImageLevelInferences?start_day_interval={start_day}¤t_batch_day={end_day}");
var request = new RestRequest(Method.GET);
request.AddHeader("authorization", "Basic " + Convert.ToBase64String(Encoding.Default.GetBytes("[[.ApiKey]]:")));
IRestResponse response = client.Execute(request);
- lang: Java
label: Java
source: |
OkHttpClient client = new OkHttpClient();
Request request = new Request.Builder()
.url("https://app.nanonets.com/api/v2/Inferences/Model/{{model_id}}/ImageLevelInferences?start_day_interval={start_day}¤t_batch_day={end_day}")
.get()
.addHeader("authorization", Credentials.basic("[[.ApiKey]]", ""))
.build();
Response response = client.newCall(request).execute();
/Inferences/Model/{model_id}/ImageLevelInferences/{id}:
get:
tags:
- ocrPredict
summary: Get Prediction File by ID
description: Retrieve the prediction results of a particular file by its ID.
operationId: "ocr/predict/id"
parameters:
- $ref: "#/components/parameters/modelId"
- name: id
in: path
description: |
The ID of the file for which the prediction has to be retrieved. It can be found in the response on uploading prediction files [synchronously](#operation/ocr/predict/file) or [asynchronously](#operation/ocr/predict/file/async) or while [retrieving all prediction file data](#operation/ocr/predict/getFile).
<br />
**Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a`
required: true
schema:
type: string
responses:
"200":
$ref: "#/components/responses/okPrediction"
"401":
$ref: "#/components/responses/unauthorized"
"402":
$ref: "#/components/responses/paymentRequired"
"404":
$ref: "#/components/responses/notFound"
deprecated: false
x-codeSamples:
- lang: JavaScript
label: Node.js
source: >
var request = require('request')
const options = {
url : 'https://app.nanonets.com/api/v2/Inferences/Model/{{model_id}}/ImageLevelInferences/{{id}}',
headers: {
'Authorization' : 'Basic ' + Buffer.from('[[.ApiKey]]' + ':').toString('base64')
}
}
request.get(options, function(err, httpResponse, body) {
console.log(body)
});
- lang: Python
label: Python
source: >
import requests
url = 'https://app.nanonets.com/api/v2/Inferences/Model/{{model_id}}/ImageLevelInferences/{{id}}'
response = requests.request('GET', url,
auth=requests.auth.HTTPBasicAuth('[[.ApiKey]]',''))
print(response.text)
- lang: Shell
label: CLI
source: |
curl --request GET \
--url 'https://app.nanonets.com/api/v2/Inferences/Model/{{model_id}}/ImageLevelInferences/{{id}}' \
-u '[[.ApiKey]]'
- lang: Go
label: Go
source: |
package main
import (
"fmt"
"net/http"
"io/ioutil"
)
func main() {
url := "https://app.nanonets.com/api/v2/Inferences/Model/{{model_id}}/ImageLevelInferences/{{id}}"
req, _ := http.NewRequest("GET", url, nil)
req.SetBasicAuth("[[.ApiKey]]", "")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := ioutil.ReadAll(res.Body)
fmt.Println(res)
fmt.Println(string(body))
}
- lang: Ruby
label: Ruby
source: >
require 'uri'
require 'net/http'
url = URI("https://app.nanonets.com/api/v2/Inferences/Model/{{model_id}}/ImageLevelInferences/{{id}}")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
request.basic_auth '[[.ApiKey]]', ''
response = http.request(request)
puts response.read_body
- lang: "C#"
label: "C#"
source: >
var client = new RestClient("https://app.nanonets.com/api/v2/Inferences/Model/{{model_id}}/ImageLevelInferences/{{id}}");
var request = new RestRequest(Method.GET);
request.AddHeader("authorization", "Basic " + Convert.ToBase64String(Encoding.Default.GetBytes("[[.ApiKey]]:")));
IRestResponse response = client.Execute(request);
- lang: Java
label: Java
source: |
OkHttpClient client = new OkHttpClient();
Request request = new Request.Builder()
.url("https://app.nanonets.com/api/v2/Inferences/Model/{{model_id}}/ImageLevelInferences/{{id}}")
.get()
.addHeader("authorization", Credentials.basic("[[.ApiKey]]", ""))
.build();
Response response = client.newCall(request).execute();