Intento extraer el texto del captcha esta es la imagen Aqui la imagen del captcha Este es el code que intente: image = cv2.resize(image, (300,120)) image = cv2.dilate(image, None, iterations=1) image = cv2.GaussianBlur(image,(1,9),0) image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) image = cv2.threshold(image, 0, 255, cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU) image = cv2.medianBlur(image,5) cv2.imshow("Image", image) cv2.imwrite("im.jpg",image) text =pytesseract.image_to_string(image,config=’–psm 8 -c ..
So I’ve been trying really hard to work on this project which detects text from an image and crops it then sends some of it to an ocr and some to a neural network. Where I’m currently facing problems is standardizing the area to put bounding boxes on. I need it on certain areas (columns) ..
I’m doing a project that detects student names and their grades crops them out and hands names to an OCR and handwritten grades to my deep learning executif model. I’m running into issues getting openCV to detect these two area on interests in my images because it’s not something I’m familiar with and it seems ..
First, I want to crop an image using a mouse event, and then print the text inside the cropped image. I tried OCR scripts but all can’t work for this image attached below. I think the reason is the text with white characters. Can you help me with doing this? Full image: Cropped image: An ..
So I’ve trained a model with almost 89% accuracy and 36% loss on EMNIST balanced dataset and it seems that most labels are predicted correctly. So I’m trying to upload a handwritten image and split it into an array of X letters that’s going to be resized to 28×28 and predict each one seperately. What’s ..
from google.cloud import vision from google.cloud.vision import types import os, io os.environ[‘GOOGLE_APPLICATION_CREDENTIALS’] = r’C:UserspaulVisionAPIkey.json’ client = vision.ImageAnnotatorClient() FILE_NAME = ‘im3.jpg’ FOLDER_PATH = r’C:UserspaulVisionAPIimages’ with io.open(os.path.join(FOLDER_PATH , FILE_NAME), ‘rb’) as image_file: content = image_file.read() image = vision.types.Image(content=content) response = client.text_detection(image=image) Source: Python..
What would be the best way to preprocess 350k images for OCR. I was thinking using OpenCV and Tesseract. I’ll be able to use a machine with GPU. Found some tutorial dealing with one or few images. I’m quite new to image preprocessing and OCR. I just want to start with the most efficient method, ..
https://imgur.com/a/zCmwUEf.jpg this is the image from whom i am trying to extract text but unable to do so. import contours import cv2 import pytesseract pytesseract.pytesseract.tesseract_cmd = r’C:UserstantesseractTesseract-OCRtesseract.exe’ # Opening the image & storing it in an image object img = cv2.imread("C:/Users/tan/Desktop/my tppc bots/training challange – Copy/sample4.jpg") gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) ret, thresh1 = cv2.threshold(gray, 0, ..
I am working on some OCR and chose to use tesseract as the library. So, I installed it using the pip command in the terminal and when I tested the library with a sample image it seems to be working fine(in the terminal). I have no idea why it wouldn’t work in IDLE and python ..
I am developing an application to detect text from images(when user upload images), and then populate those extracted text into output fields. I have completed the text extraction part using tesseract-ocr (This part is working). But I’m stuck with populating those extracted text into output fields. Here’s my code for text extraction: utils.py Here’s my ..