TextDetection | Text Detection using Stroke Width Transform | Data Manipulation library
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kandi X-RAY | TextDetection Summary
Text Detection using Stroke Width Transform
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Trending Discussions on TextDetection
QUESTION
I'm using Google Cloud Vision to detect text on an image. This works about 80% of the time. The other 20%, I get this error:
...ANSWER
Answered 2021-Nov-22 at 10:59If you are using Node.js with Vision API you can refer to this sample quickstart code for using Node.js Client Library in Vision API for TEXT_DETECTION.
For the error that you are facing, you can refer to the below code to add request parameters:
index.js :
QUESTION
I am using Python in AWS services.
I have this large JSON object:
...ANSWER
Answered 2021-Nov-01 at 00:25It should be:
QUESTION
I'm trying to set google application credentials using the following command set GOOGLE_APPLICATION_CREDENTIALS=KEY_PATH
(I replaced KEY_PATH with the path of the JSON file that contains my service account key).
When I run this command
gcloud auth application-default print-access-token
everything works fine.
But I get this error on the browser
Error: {"servicePath":"vision.googleapis.com","port":443,"clientConfig":{},"fallback":true}You need to pass auth instance to use gRPC-fallback client in browser or other non-Node.js environments. Use OAuth2Client from google-auth-library.
This is the file where I use vision:
...ANSWER
Answered 2021-Sep-12 at 16:21This issue was closed on Github a while back:
this library is supposed to be used from a server-side Node.js application, not from any front-end environment such as a browser, Electron app, React, (name your front-end framework here). If you just run the code by plain regular Node.js, it will work.Having said that - we do have experimental support for a browser use case starting from the latest version, which is 0.11.0. It's experimental (just implemented) and not really documented yet. You can try using it though. To do that, you need to pass an authenticated instance of OAuth2Client (from google-auth-library) as an auth parameter of the client constructor
Here is the link: https://github.com/googleapis/nodejs-dialogflow/issues/405#issuecomment-529713296
QUESTION
My app starts with a simple html form. the inputs are PIN# and Date Of Birth.
My express server runs on the same port 3000, when the user submits their data, puppeteer starts and logs into a specific webpage. Then I scrape the image on that webpage. Google Api takes the text from that image and saves it in an array. I then post that array string to src/results.html. But as soon as the user hits submit, they are redirected to /resuts route right immediately and the page says cannot post the data. but when I see in the console (roughly a minute later) that the post was successful, I refresh the page and I get the array of text I wanted to see.
How can I await for the data to finish being posted to the route before the page loads the data? Im using react for client side. below is my server side code. client side is just a basic react page login and a static /results page meant for the data.
...ANSWER
Answered 2021-Aug-31 at 05:43I think I got the problem.
In the react
app, maybe you are not using e.preventDefault()
when you click submit. The browser, by default, redirects to a page where the form action is directing, if the action attribute is empty then the browser reloads the same page. I would recommend you to use e.preventDefault()
on form submission and then use fetch
API to make the request.
In the express
server, on the route POST "results", you are not sending any response back to the user. You should always send a response to the user. In your case you are calling the App
function - which has many async functions, but you are not awaiting for App()
to complete in the POST route, express is sending default response to the user as soon as it parses App()
- it is not waiting for the App()
to complete - express will get to this later.
You can make the (req, res) => { ... }
function in the route as async
function async (req, res) => { ... }
, then you can make the App
as async function as well. Then you can await App(...)
in the route function. Also, you need to await for the main()
function as well inside the App()
function. Then once App()
call has finished, you can send redirect response to the user.
QUESTION
I am very new to AWS and trying to write a simple serverless application to detect the text of an uploaded image in S3 bucket. The image "2272922.jpg" is already uploaded into the S3 bucket. The below snippet works in local through node and returning perfect response
but always returns null when executed from Lambda (or invoked from the api gateway).
...ANSWER
Answered 2021-Mar-31 at 02:03I was missing the 'await' keyword before rekognition.detectText(params)
and promise()
at end. Also the function was returning the return text from detectText rather than the expected table I wrote. I modified the code like below which gave me the detected text in table format
QUESTION
I'd like to access an object set to a child component's state, and pass it to its sibling component:
- Child 1 (TextDetection) is a react-dropzone component that receives an image file, which is passed to an OCR API.
- Child 1 will then receive the transcription from the API and set that returned transcription to its local state.
- Child 2 (TextTable) needs to access this same object, where it will be displayed.
ANSWER
Answered 2021-Jan-29 at 12:49In your example you don't use data
in Child component at all. In this case you can run function in Parent component
QUESTION
About my project I'm trying to train images for text detection using python and tensorflow on pycharm MacOS
now I'm working on splitting the data into training. There are 2 files inside of TrainingData file. Each image folder has 4 images.(I know it's quiet few, but I'll add more images later)
...ANSWER
Answered 2021-Jan-24 at 17:35When you define the path to the images you have to include the full file path.
If you change your code to the following it should work!
QUESTION
I am using the below code in combination with AWS service Recoknition to analyze text in images. I am only looking for one specific line item in the picture that is a 10 digit number. I want my program to determine if there is a 10 digit number in the photograph. If TRUE = response A, if FALSE response B.
Step 1. How do I modify my response to print a output that only contains this 10 digit number IF it is found in the photo? How do I save this number as a variable in the program?
For reference here is my current code and a portion of the output I am getting. I only want line 5 but it will not always be line 5 with the same geometry because the angles and size of the tags in the photograph will change. The image I am trying to test analyze is also attached.
Here's the image
This is my code:
...ANSWER
Answered 2020-Dec-03 at 03:46If you want to use pandas to look at the data (in ipython or some other IDE you can do this):
QUESTION
I'm implementing a web app the uses the Cloud Vision API to detect text on user-generated images.
I'm using React and Firebase cloud functions.
The flow is the following:
- User gets image from Gallery or Camera, crops it using
react-image-crop
package - This package uses a
element to generate the cropped images
- I'm converting the image to
base64
usingcanvas.toDataURL("image/jpeg",1.0);
- I'm passing the
imageBase64
string to a cloud function - The cloud function needs to read the image and call the Cloud Vision API
CLIENT CODE
...ANSWER
Answered 2020-Jul-21 at 11:30This is how I've solved it.
I opened a Github issue where I got into more details about this.
https://github.com/googleapis/nodejs-vision/issues/808
CLIENT CODE
I had to remove the first part of the base64
string.
This part: "data:image/jpeg;base64,"
QUESTION
Just started exploring Google Cloud Vision APIs. From their guide:
...ANSWER
Answered 2020-May-24 at 18:36content
field need to be Buffer
.
You use the nodejs client library. The library use the grpc API internally, and grpc API expect bytes
type at content
field.
However, JSON API expect base64 string
.
https://cloud.google.com/vision/docs/reference/rpc/google.cloud.vision.v1#image https://googleapis.dev/nodejs/vision/latest/v1.ImageAnnotatorClient.html#textDetection
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Install TextDetection
You can use TextDetection like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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