text_detection | Text area detection - 文本区域检测

 by   GuoYi0 Python Version: Current License: No License

kandi X-RAY | text_detection Summary

kandi X-RAY | text_detection Summary

text_detection is a Python library. text_detection has no bugs, it has no vulnerabilities and it has low support. However text_detection build file is not available. You can download it from GitHub.

Text area detection
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            kandi-support Support

              text_detection has a low active ecosystem.
              It has 29 star(s) with 16 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              text_detection has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of text_detection is current.

            kandi-Quality Quality

              text_detection has no bugs reported.

            kandi-Security Security

              text_detection has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              text_detection does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              text_detection releases are not available. You will need to build from source code and install.
              text_detection has no build file. You will be need to create the build yourself to build the component from source.

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            text_detection Key Features

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            text_detection Examples and Code Snippets

            No Code Snippets are available at this moment for text_detection.

            Community Discussions

            QUESTION

            Python only get specific value in json
            Asked 2022-Mar-26 at 20:19

            I am using the google vision api on python to get text on images, the api returns this json text:

            ...

            ANSWER

            Answered 2022-Mar-26 at 16:31

            JSON filed in python are similarly interpreted as dictionaries and you can get the value of 'description' in the similar manner. Here's what you have to do:

            Source https://stackoverflow.com/questions/71629790

            QUESTION

            KeyError:'image_path' while executing Google Vision API using python
            Asked 2022-Feb-11 at 09:28

            I am trying to extract text data from images using Google Cloud Vision API. My Initial starting point was here After Enabling Vision API and Creating service account,generating json file, I created a script by referring this example.

            Here's my code

            ...

            ANSWER

            Answered 2022-Feb-11 at 09:21

            Per the Google Cloud Vision docs, you want image.source.image_uri instead.

            Source https://stackoverflow.com/questions/71077514

            QUESTION

            Pass PIL Image to google cloud vision without saving and reading
            Asked 2021-Sep-26 at 20:06

            UPDATE BELOW

            Is there a way to pass a PIL Image to google cloud vision?

            I tried to use io.Bytes, io.String and Image.tobytes() but I always get:

            ...

            ANSWER

            Answered 2021-Sep-20 at 09:41

            It would be good to have whole error stack and more accurate code snippet. But form presented information this seems to be confusion of two different "Images". Probably the some copy/paste error, as the tutorials have exactly the same line:

            Source https://stackoverflow.com/questions/69246552

            QUESTION

            IndexError: list index out of range use google vision
            Asked 2021-Aug-19 at 01:59
            import io
            import os
            os.environ["GOOGLE_APPLICATION_CREDENTIALS"]="future-shuttle-323208-1e6aebdb018d.json"
            # Imports the Google Cloud client library
            from google.cloud import vision        
            from PIL import Image
            import cv2
            
            write1=[]
            write2=[]
            
            for i in range(0,235):      
            
                # Instantiates a client
                client = vision.ImageAnnotatorClient()
            
                # The name of the image file to annotate
                file_name = os.path.abspath("v2i/%d.png"%(i))
            
                # Loads the image into memory
                
                with io.open(file_name, 'rb') as image_file:
                    content = image_file.read()
                
            
                image = vision.Image(content=content)
            
                response = client.text_detection(image=image)
                texts = response.text_annotations
                
                i_str=str(i)
                filename='i2tvision/'+i_str+'.txt'
                
                
                for text in texts:
                    
                    
                    
                    write1.append('\n"{}"'.format(text.description))  
                    
                    vertices = (['({},{})'.format(vertex.x, vertex.y)
                                  for vertex in text.bounding_poly.vertices])
                    
                    write2.append('bounds: {}'.format(','.join(vertices)))
                    
                    
                    #指定文字檔路徑
                    
                    f = open(filename, 'w')
                    f.write(write1[i])
                    f.write(write2[i])
                    f.close()
                   
            
                if response.error.message:
                    raise Exception(
                        '{}\nFor more info on error messages, check: '
                        'https://cloud.google.com/apis/design/errors'.format(
                            response.error.message))
            
                
            
                #指定文字檔路徑
                #i_str=str(i)
                #filename='i2tvision/'+i_str+'.txt'
                #f = open(filename, 'w')
            
                #f.write(write1[i])
                #f.write(write2[i])
                
                #f.close()
                
                
            
            ...

            ANSWER

            Answered 2021-Aug-19 at 01:59

            You don't need those two lists at all. Just write the lines as you generate them.

            Source https://stackoverflow.com/questions/68841085

            QUESTION

            Every time I'm try to call the cloud function and it will through exception code "NOT_FOUND"
            Asked 2021-May-31 at 06:26

            Describe the bug
            I'm using the firebase new Updated Service https://firebase.google.com/docs/ml/android/recognize-text. I'm trying to print the text data from the image but the exception through. .
            To Reproduce Here is my kotlin code

            ...

            ANSWER

            Answered 2021-May-31 at 06:26

            I got the solution for this issue. I'm not uploaded the vision-annotate-images in my firebase cloud function.

            Source https://stackoverflow.com/questions/67674667

            QUESTION

            Google Cloud Video Intelligence Speech Transcription
            Asked 2021-Mar-23 at 13:58

            I try to use Speech Transcription via Video Inteligence, however I get the following error :

            ...

            ANSWER

            Answered 2021-Mar-23 at 13:58

            The following settings are prerequisite for Speech Transcription with Google Cloud.

            Now, I set them, prior to the call and I can succesfully execute the video intelligence call.

            Source https://stackoverflow.com/questions/65845228

            QUESTION

            TypeError: get() expected a dict or protobuf message, got
            Asked 2021-Feb-10 at 09:58

            I'm trying to take a region of a picture using OpenCV, and then extracting that text. Any idea how to fix this error?

            ...

            ANSWER

            Answered 2021-Feb-10 at 09:58

            text_detection method expects an Cloud Vision Image task instance for analization, where you're passing Image instance of another type.

            You can convert OpenCV image instance to the one suitable for google-vision client methods:

            Source https://stackoverflow.com/questions/66134286

            QUESTION

            How to save the google vision API response to a handable file
            Asked 2020-Sep-23 at 11:22

            I am trying to extract all the information that the google cloud vision OCR API offers to me from some tickets. I can save the text in a .txt but the rest of the response response = client.text_detection(image=image) I don't know how to save it.

            Thanks

            ...

            ANSWER

            Answered 2020-Sep-23 at 11:22

            I followed this tutorial Quickstart: Using client libraries.

            Then, assuming that you got the response, you can save it to a file using this code:

            Source https://stackoverflow.com/questions/64026115

            QUESTION

            is it possible to scan 10 images at once ocr using google vision api? so far manage to do only 1
            Asked 2020-Aug-13 at 23:07

            We are currently doing an ocr project using google vision API where the images return a text value... but so far we manage to do only 1 image, is it possible to do 10 images? im using python and this code only runs one image.. thank you

            ...

            ANSWER

            Answered 2020-Aug-13 at 23:07

            It's possible using batch image annotation offline since the "TEXT_DETECTION" feature is supported in the asynchronous mode. You can find a sample code for Python in here and as you can see there, it's required to create a request element for each image and add it to the array of requests:

            Source https://stackoverflow.com/questions/63371192

            QUESTION

            Google cloud vision, lumping lines together
            Asked 2020-Jul-06 at 16:40

            I'm testing Google cloud vision. I want it to just read across the page in sequence, line by line. Here is the code.

            ...

            ANSWER

            Answered 2020-Jul-05 at 04:34

            Google vision is not configurable in this levels.

            You have two options to read text in document

            TEXT_DETECTION Run text detection / optical character recognition (OCR). Text detection is optimized for areas of text within a larger image; if the image is a document, use DOCUMENT_TEXT_DETECTION instead.

            DOCUMENT_TEXT_DETECTION Run dense text document OCR. Takes precedence when both DOCUMENT_TEXT_DETECTION and TEXT_DETECTION are present.

            If TEXT_DETECTION and DOCUMENT_TEXT_DETECTION return the same unsatisfying answer you have to modify the image itself.

            For example using the Cloud demo api you can see immediate results

            I slightly changed the image and got better results for this specific line.

            Img (cropped and with additional contrast) result

            Keep in mind it's just an example and you need to find a sufficient way to modify the image

            EDIT: also maybe it worth to explore Document AI

            Source https://stackoverflow.com/questions/62627299

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install text_detection

            You can download it from GitHub.
            You can use text_detection 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.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            gh repo clone GuoYi0/text_detection

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            git@github.com:GuoYi0/text_detection.git

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