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I trained a model on Colab for my final year project EfficientNetB0. After all the layer training, I tested it and its result was excellent, but now I want to integrate the model to the frontend web ...
Narendra Patne's user avatar
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0 answers
27 views

brightField CellI'm working on cell segmentation using Bright Field (BF) microscopy images, but I'm struggling due to uneven illumination and weak cell edges. To summarize, I’m stuck between two ...
최영환's user avatar
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0 votes
1 answer
82 views

I am trying to OCR a specific area of a PDF page in a multi-page document (total page count varies between 600-10,000 pages). I initially receive the data as .pcl files in batches of 500 records, ...
bearskies's user avatar
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2 votes
1 answer
336 views

Problem: I am working on a Flutter project where I need to run a TensorFlow Lite (TFLite) object detection model. The model has specific input and output shape requirements, and I am encountering ...
yousef sultan's user avatar
  • 21
2 votes
1 answer
314 views

I am trying to read the text from a U.S. penny to orient the coin. the original is from https://www.usmint.gov/wordpress/wp-content/uploads/2024/05/2024-lincoln-penny-uncirculated-obverse-philadelphia....
skeeter's user avatar
  • 39
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0 answers
121 views

I am working on a project where I need to extract text from frames of an Instagram Reels video. I used the yt-dlp to download the video, extracted frames using ffmpeg, and attempted to read the text ...
Rasik's user avatar
  • 2,529
3 votes
1 answer
118 views

I'm trying to calculate the real time of video recording. I have a lot of videos, some of which were lost during transmission. All of them are in mp4 format. to get the duration, I recognize the time ...
Ernán's user avatar
  • 33
0 votes
1 answer
253 views

I'm trying to use Optical Character Recognition to extract text from images of cattle tags like . The tags are yellow with black text, and they may be slightly distorted or rotated. I'm wondering ...
Yanislav Yanakiev's user avatar
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0 votes
0 answers
55 views

I'm trying to use a RaspberryPi with a camera to snap a picture of an electricity meter and OCR the image. This is the source image This is the image after the CV processing This is the image ...
Yoav Mor's user avatar
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1 vote
2 answers
10k views

screenshot.png: modified_image.png: I am trying to extract text from an image but seems however I do it tessaract gives me some random values even though I think I have processed the image to a very ...
Andreas Ellsen's user avatar
  • 33
0 votes
1 answer
91 views

i'm using Pytesseract to screenshot parts of my screen and then using cv2 to edit this image into black letters with white background, however i'm getting the exact opposite and cant figure out why. ...
WParcival's user avatar
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1 vote
1 answer
2k views

I have been trying to extract the bold white text from this image but not able to get it working correctly, seems the 9 is read as a 3 and the I as 1. Have been looking at various sites which has code ...
Andreas Ellsen's user avatar
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1 vote
1 answer
395 views

I need to extract the kilogram (kg) values displayed in the image below: I manually cropped the image to isolate the text part and applied several image processing techniques such as grayscale ...
boss's user avatar
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0 answers
128 views

The provided image has various elements of a monitor. I want to extract the text of each of them. I have tried various approaches, but there is a lot of text that I cannot identify.enter image ...
오정현's user avatar
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0 votes
1 answer
201 views

I'm trying to retrieve data from an online image with pytesseract, however the result is pretty bad and I was wondering if there was a way to improve it. Here is my code: import io import requests ...
Wick's user avatar
  • 177
1 vote
1 answer
819 views

I'm trying to convert images to text using pytesseract. It works well for images with white background and black text, but it fails for images with less contrast and varying colors. I have tried to ...
thomasa88's user avatar
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-1 votes
2 answers
397 views

Let`s start with image: My current task is to print the text from image with using pytesseract. import cv2 import pytesseract pytesseract.pytesseract.tesseract_cmd = "tesseract/tesseract.exe&...
TosiX's user avatar
  • 30
0 votes
2 answers
585 views

I want to load a batch of images of different resolutions and split them into non-overlapping patches of equal sizes on the fly to feed them to a Resnet18 model, is there an existing transform class ...
Yassine's user avatar
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1 answer
115 views

I am looking to extract text from this image: Specifically the row under "Kills". However I cannot seem to get accurate results. I tried to convert the image to gray and apply a threshhold: ...
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2 answers
168 views

I'm trying to ocr some numbers: And I have made this code to test different psm arguments (6,7,8,13), I don't see much difference. import os import pytesseract import matplotlib.pyplot as plt import ...
Daviid's user avatar
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1 vote
0 answers
210 views

Fist time here using PyTesseract and OpenCV. I need to OCR data from picture that will look like this: I've manually added the red circle to showcase the data element i'm interested in. They are not ...
Maquisard's user avatar
  • 83
0 votes
0 answers
898 views

I am trying to read the passport mrz string from the image i am using Tesseract and OpenCV for image processing i have tried three different ways none of them worked Attempt 1 I have this image when ...
sarah w's user avatar
  • 3,525
1 vote
1 answer
148 views

I am trying to identify numbers and their position in the image This is my code: import cv2 import pytesseract def round_to_nearest_10(number): return round(number / 10) * 10 def parse_image_grid(...
123456789's user avatar
  • 23
0 votes
2 answers
346 views

I'm trying to create a program that turns everything in an image black, except for the letters in a license plate area. I'm not sure where to start with this. I know I can use OpenCV in Python to load ...
user avatar
1 vote
0 answers
260 views

I would like to fix word of text before scanning via Tesseract with OpenCvSharp. Code's snippet and images's results as following. I can not find warpping and deskewing image. Thank you in advance for ...
Kerberos's user avatar
  • 1,266
0 votes
1 answer
83 views

i can not extract text with reliable accuracy from an image import cv2 import pytesseract pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe' image_path = 'crop....
mishal shanavas's user avatar
  • 458
0 votes
1 answer
353 views

I am trying to preprocess this image. With Tesseract I then try to read the numbers on the right like: const COORDINATES = [ MORE_INFO_LABELS: { x: 740, y: 165, w: 112, h: 326, }, ]...
user avatar
0 votes
1 answer
131 views

I have an image which contains borders for column headers and no border for data, now I want to remove the borders or lines from the image without losing its quality. Here is the image Here is the ...
lytewa's user avatar
  • 9
1 vote
1 answer
234 views

Based on my previous question, I have a LCD screen that I need to read off of. The image that is use is The code takes the chunks of pre determined regions and sends it to pytesseract to read. Most ...
skullx's user avatar
  • 73
0 votes
1 answer
471 views

I am a newbie on OCR manipulation and extraction data from images. After searching for solution I did find some code but it didn't work for my use case, it didn't extract correctly all characters, at ...
dbarrios's user avatar
  • 1
-2 votes
1 answer
2k views

I have applied the following adjustments to the original image: resized changed the colour scale greyscaled thresholded inverted the colours This results in the following image Using tesseract, i'm ...
Vik's user avatar
  • 549
0 votes
0 answers
501 views

I want to use OCR on this block of text: It works well on some lines, but on other lines it doesn't detect anything / gibberish. I'm pretty sure it's because of how the text is skewed, since if I ...
anon's user avatar
  • 11
0 votes
0 answers
162 views

I have been tasked with taking scanned images of a petri dish with bacterial colonies growing on it over time and performing an analysis of different statistics such as growth rate, time of appearance,...
DAVID VAYSBERG's user avatar
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0 votes
0 answers
147 views

I want to better segment the round part in my pictures(use Segment Anything),and i try many ways to improve the effect,including threshholding(OTSU/adaptive....),OpenCV edge detection(Sobel/Scharr/...
Coding Rookie's user avatar
  • 9
0 votes
1 answer
576 views

I have a raster map in tiff format and I am trying to convert it into smooth shape file. but I guess due to pencil drawn lines its output is in the weird shape file which you can show in the screen ...
Saddam Hussain's user avatar
  • 1
0 votes
1 answer
222 views

I am training different networks like VGG16, Resnet, Densenet, Squeezenet etc. on image dataset. I am performing following steps before training. train_dataset = torchvision.datasets.ImageFolder( ...
Prajakta Rathod's user avatar
  • 3
0 votes
1 answer
139 views

I am trying to train a CNN for image classification. When I am about to train the model I run into the issue where it says that my data cardinality is ambiguous. I've checked that the size of both the ...
gusifer98's user avatar
  • 1
0 votes
1 answer
165 views

I'm trying to OCR image with pytesseract. Once I do the OCR for below image the result shows as "WV over" What are the image pre-processing techniques that can be use to enhance this image ...
Chinthaka's user avatar
  • 19
-3 votes
1 answer
64 views

I was solving my Image Processing - Features descriptors when I came across this problem. I could not understand the difference between image detectors and descriotors I tried googling but could not ...
Arkodeep Koley's user avatar
  • 1
0 votes
1 answer
153 views

i have data set of images first i read the image then i convert it to grey and i want to save it after dividing each grey image by 255 i try files = os.listdir(path) for file in files: folder = os....
Ahmed Abd El-Samie's user avatar
  • 41
0 votes
1 answer
756 views

I am trying to extract emails from screenshots. This is the image- Image with email You can see in this image, there is an email. This is my code- image = cv2.imread('image_name.jpg') gray = cv2....
ajaygarg's user avatar
  • 39
0 votes
0 answers
134 views

I have images with different width and height I want to reshape generated images so that width and height are same So I used following function that check and change shape of images But there was an ...
yeon's user avatar
  • 5
1 vote
0 answers
169 views

I am doing a brain MRI segmentation task using Unet model. My problem is it does no matter what transformation i use during training my val dice score after few epochs stucks around 77% score. I ...
Csippán György's user avatar
  • 11
0 votes
1 answer
285 views

I have a numpy array of an image. I have set non zero values for my region of interest and for rest I have set value as 0. Now if I were to create a single bounding box, I could check for 1st ...
Dee Rawat's user avatar
  • 3
1 vote
1 answer
3k views

I am trying to run a code from github of facial emotion teller and I am getting an attribute error, The error is : line 27, in <module> img_pixel = image.img_to_array(roi_gray) ...
Rituraj Rawat's user avatar
  • 11
0 votes
2 answers
1k views

all of you, Here is the image; The exact background color is in RGB; (246, 46, 100) I have tried several methods but those are too slow, one of the methods is below; new_image = Image.open("...
Tariq Hussain's user avatar
  • 25
0 votes
2 answers
2k views

Im a beginner in the nifti world, and have to overlay 2 niftis (one segmented white matter and one segmented gray matter images) together. I tried with FSLeyes but I cant save them to a nifti. If ...
bashbeforetimeout's user avatar
  • 3
0 votes
0 answers
334 views

I'm working on a machine learning application for reading data from fuel pumps, so far I've gone ahead and created a pretty robust YOLOv5 Object Detection Model that can detect the regions that I want ...
Muneeb Ahmad Khurram's user avatar
  • 655
0 votes
0 answers
69 views

In the ImageDataGenerator, I've used the following function to preprocess images, through the keyword of 'preprocessing' in .flow_from_dataframe(). However, I am now trying to use the ...
Tony's user avatar
  • 1
1 vote
1 answer
682 views

I'm struggling with finding a optimal binarization as preprocessing step for OCR (tesseract in C#). The images are 1624 X 1728 of pixel size and contain car gui elements (Buttons, Sliders, Info Boxes) ...
Eduard Szilaghi's user avatar
  • 67

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