TextDetection | Vision Framework Demo on Text Detection | Computer Vision library

I am using Python in AWS services.

I have this large JSON object:

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:

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.

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).

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.

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)

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:

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 using canvas.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

Just started exploring Google Cloud Vision APIs. From their guide: