python-tesseract

问题 I'm trying to use tesseract's user-patterns with pytesseract but can't seem to get the command working. This seems like it should be fairly straight forward but the documentation is sparse I'm on tesseract 3.05.01. Doing this doesn't work: pytesseract.image_to_string(image, config='--oem 0 bazaar --user-patterns ./timestamps.user_patterns') I have a bazaar file in /usr/local/share/tessdata/configs/bazaar that says this: load_system_dawg T load_freq_dawg T user_words_suffix user-words user

问题 I'm trying to preprocess frames of a game in real-time for a ML project. I want to extract numbers from the frame, so I chose Pytesseract, since it looked quite good with text. Though, no matter how clear I make the text, it won't read it correctly. My code looks like this: section = process_screen(screen_image)[1] pixels = rgb_to_bw(section) #Makes the image grayscale pixels[pixels < 200] = 0 #Makes all non-white pixels black tess.image_to_string(pixels) => 'ye ml)' At best it outputs "ye ml

问题 Hi I am looking to improve my performance with pytesseract at digit recognition. I take my raw image and split it into parts that look like this: The size can vary. To this I apply some pre-processing methods like so image = cv2.imread(im, cv2.IMREAD_GRAYSCALE) image = cv2.GaussianBlur(image, (1, 1), 0) kernel = np.ones((5, 5), np.uint8) result_img = cv2.blur(img, (2, 2), 0) result_img = cv2.dilate(result_img, kernel, iterations=1) result_img = cv2.erode(result_img, kernel, iterations=1) and

问题 Hi I am looking to improve my performance with pytesseract at digit recognition. I take my raw image and split it into parts that look like this: The size can vary. To this I apply some pre-processing methods like so image = cv2.imread(im, cv2.IMREAD_GRAYSCALE) image = cv2.GaussianBlur(image, (1, 1), 0) kernel = np.ones((5, 5), np.uint8) result_img = cv2.blur(img, (2, 2), 0) result_img = cv2.dilate(result_img, kernel, iterations=1) result_img = cv2.erode(result_img, kernel, iterations=1) and

问题 How to extract some of the specific text only from PDF files using python and store the output data into particular columns of Excel. Here is the sample input PDF file (File.pdf) Link to the full PDF file File.pdf We need to extract the value of Invoice Number, Due Date and Total Due from the whole PDF file. Script i have used so far: from io import StringIO from pdfminer.converter import TextConverter from pdfminer.layout import LAParams from pdfminer.pdfdocument import PDFDocument from

问题 I am trying to OCR an entire directory of pdf files using pytesseract and imagemagick but the issue is that imagemagick is consuming all my Temp folder space and finally I'm getting a cache error i.e "CacheError: unable to extend cache 'C:/Users/Azu/AppData/Local/Temp/magick-18244WfgPyAToCsau11': No space left on device @ error/cache.c/OpenPixelCache/3883" I have also written a code to delete the temp folder content once OCR'd but still facing the same issue. Here's the code till now: import

问题 We are cropping the pan card image by increasing the height by 20px for every iteration and then we are passing that image to tesseract to do ocr but we are getting noise with output.if you have better solution on Image processing or another libraries like cv2 then please help us. import pytesseract from PIL import Image, ImageEnhance, ImageFilter im = Image.open("image/testpan.jpg") width = im.size[0] height = im.size[1] print('width,height-->',width,height) yy='img' zz='.jpg' x=0 for j in

问题 I'm trying to read text from an image, using OpenCV and Pytesseract, but with poor results. The image I'm interested in reading the text is: https://www.lubecreostorepratolapeligna.it/gb/img/logo.png This is the code I am using: pytesseract.pytesseract.tesseract_cmd = r'D:\Program Files\pytesseract\tesseract.exe' image = cv2.imread(path_to_image) # converting image into gray scale image gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) cv2.imshow('grey image', gray_image) cv2.waitKey(0) #

问题 For my current ocr project I tried using tesserect using the the python cover pytesseract for converting images into text files. Up till now I was only passing well straight oriented images into my module at it was able to properly figure out text in that image. But now as I am passing rotated images it is not able recognize even a single word. So to get good result I need to pass images only with proper orientation. Now I want to know that is there any method to figure out the orientation of

问题 I have a Python app which words great via Localhost on my machine. I am trying to deploy it to Heroku. However it does not seem possible to accomplish this (I have spent approx 30 hours trying now). The problem is Tesseract OCR. I am using the pytesseract wrapper, and my code utilises this. However, no matter what I try, it does not seem to be possible to use pytesseract when it is uploaded to Heroku. Could anyone either suggest how to go about deploying a Hello World Tesseract OCR Python app