text_detection | Text area detection - 文本区域检测
kandi X-RAY | text_detection Summary
kandi X-RAY | text_detection Summary
Text area detection
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text_detection Examples and Code Snippets
Community Discussions
Trending Discussions on text_detection
QUESTION
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 16:31JSON 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:
QUESTION
ANSWER
Answered 2022-Feb-11 at 09:21Per the Google Cloud Vision docs, you want image.source.image_uri
instead.
QUESTION
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 09:41It 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:
QUESTION
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 01:59You don't need those two lists at all. Just write the lines as you generate them.
QUESTION
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 06:26I got the solution for this issue. I'm not uploaded the vision-annotate-images in my firebase cloud function.
QUESTION
I try to use Speech Transcription via Video Inteligence, however I get the following error :
...ANSWER
Answered 2021-Mar-23 at 13:58The 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.
QUESTION
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 09:58text_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:
QUESTION
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 11:22I followed this tutorial Quickstart: Using client libraries.
Then, assuming that you got the response
, you can save it to a file using this code:
QUESTION
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 23:07It'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:
QUESTION
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 04:34Google 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
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Install text_detection
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.
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