psm | Security enabled simple REST service to manage application | Serverless library

I am using Tesseract OCR trying to convert a preprocessed license plate image into text, but I have not had much success with some images which look very much OK. The tesseract setup can be seen in the function definition. I am running this on Google Colab. The input image is ZG NIVEA 1 below. I am not sure if I am using something wrong or if there is a better way to do this - the result I get form this particular image is A.

the image:

the image is handwritten line of text this is extracting the text some what but not the expect same in the image

and the code is

I conducted prospensity score matching in R using the R-package "Matching" and "Matchit" respectively, but the number of matches were completely different.

The dataset is here http://web.hku.hk/~bcowling/data/propensity.csv or http://web.hku.hk/~bcowling/examples/propensity.htm. example <- propensity

The code using "Matching" was：

m.ps <- glm(trt ~ age + risk + severity, family="binomial", data=example)

example$ps <- predict(m.ps, type="response")

PS.m <- Match(Y=example$death, Tr=example$trt, X=example$ps, M=1, caliper=0.2, replace=FALSE) summary(PS.m )

This is the image I'm using. This is the output that was returned with print(pytesseract.image_to_string(img)):

I am trying to read these images:

I have tried several options but I can't seem to read them correctly as 15/0, 30/0, 40/0.

There is a table named test, with one column named amount (number datatype). There is no PK for this table, and amounts can be repeated. The table's DDL is below: (created for testing purposes in Oracle 18c xe)

to get matched pairs due to PSM ("Matchit"-Package and Method = full) i need to specifiy my command for my longitudinal data frame. Every Case has several obeservations but i only need the first observation per patient to be included in the Matching. So the matching should be based on every patients' first observation but my later analysis should include the complete dataset of each patient with all observations.

Has anyone an idea how to achieve this?

I tried using a data subset (first observation per patient) but wasn't able to get the matching included in the data set (with all observations per patient) using "Match.data".

Thanks in advance Simon (desperately writing his masters thesis)

I am trying to use Pytesseract to read the digits from the following image:

Low Resolution Image

Unfortunately, the program is not returning with any solution, even after using greyscale, thresholding, noise detection or canny edge detection. When using a config to whitelist only digits and $/, the program stops detecting even the high resolution image. (here)

The code is as follows:

I am attempting to collect data from a shop in a game ( starbase ) in order to feed the data to a website in order to be able to display them as a candle stick chart

So far I have started using Tesseract OCR 5.0.0 and I have been running into issues as I cannot get the values reliably

I have seen that the images can be pre-processed in order to increase the reliability but I have run into a bottleneck as I am not familiar enough with Tesseract and OpenCV in order to know what to do more

Please note that since this is an in-game UI the images are going to be very constant as there is no colour variations / light changes / font size changes / ... I technically only need to get it to work once and that's it

Here are the steps I have taken so far and the results :

I have started by getting a screen of only the part of the UI I am interested in in order to remove as much clutter as possible

I have then set a threshold as shown here ( I will also be using the cropping part when doing the automation but I am not there yet ), set the language to English and the psm argument to 6 witch gives me the following code :