screenshot | Simple cross-platform pure Go screen shot library

I modified your code.this will works fine
but the customerMian() and adminMain() function not defined.

Make an Array with the month names and then loop trough it accordting to initial month and end month:

You have to add files from the project A manually to the add-in installer. For your reference, a similar issue is described on the Error deploying ClickOnce application - Reference in the manifest does not match the identity of the downloaded assembly thread.

For VSTO based add-in, make sure that you did all the steps described in the Deploy an Office solution by using ClickOnce article.

Try This :

Tesseract takes a lang variable that you can expand to include different languages if they're installed. I've used the UB Mannheim (https://github.com/UB-Mannheim/tesseract/wiki) installation which includes a ton of languages supported.

To get better and more accurate results, the best thing to do is to process the image before handing it to Tesseract. Set a white/black threshold so that you have black text on white background with no shading. I'm not sure how to do this in Node, but I've done it with Python's OpenCV library.

If that font doesn't get you decent results with the out of the box, then you'll want to train your own, yes. This blog post walks through the process in great detail: https://towardsdatascience.com/simple-ocr-with-tesseract-a4341e4564b6. It revolves around using the jTessBoxEditor to hand-label the objects detected in the images you're using.

Edit: In brief, the process to train your own:

1. Install jTessBoxEditor (https://sourceforge.net/projects/vietocr/files/jTessBoxEditor/). Requires Java Runtime installed as well.
2. Collect your training images. They want to be .tiffs. I found I got fairly accurate results with not a whole lot of images that had a good sample of all the characters I wanted to detect. Maybe 30/40 images. It's tedious, so you don't want to do TOO many, but need enough in order to get a good sampling.
3. Use jTessBoxEditor to merge all the images into a single .tiff
4. Create a training label file (.box)j. This is done with Tesseract itself. tesseract your_language.font.exp0.tif your_language.font.exp0 makebox
5. Now you can open the box file in jTessBoxEditor and you'll see how/where it detected the characters. Bounding boxes and what character it saw. The tedious part: Hand fix all the bounding boxes and characters to accurately represent what is in the images. Not joking, it's tedious. Slap some tv episodes up and just churn through it.
6. Train the tesseract model itself

• save a file: font_properties who's content is font 0 0 0 0 0
• run the following commands:

tesseract num.font.exp0.tif font_name.font.exp0 nobatch box.train

unicharset_extractor font_name.font.exp0.box

shapeclustering -F font_properties -U unicharset -O font_name.unicharset font_name.font.exp0.tr

mftraining -F font_properties -U unicharset -O font_name.unicharset font_name.font.exp0.tr

cntraining font_name.font.exp0.tr

You should, in there close to the end see some output that looks like this:

Master shape_table:Number of shapes = 10 max unichars = 1 number with multiple unichars = 0

That number of shapes should roughly be the number of characters present in all the image files you've provided.

If it went well, you should have 4 files created: inttemp normproto pffmtable shapetable. Rename them all with the prefix of your_language from before. So e.g. your_language.inttemp etc.

Then run:

combine_tessdata your_language

The file: your_language.traineddata is the model. Copy that into your Tesseract's data folder. On Windows, it'll be like: C:\Program Files x86\tesseract\4.0\tessdata and on Linux it's probably something like /usr/shared/tesseract/4.0/tessdata.

Then when you run Tesseract, you'll pass the lang=your_language. I found best results when I still passed an existing language as well, so like for my stuff it was still English I was grabbing, just funny fonts. So I still wanted the English as well, so I'd pass: lang=your_language+eng.

The auto-population of 0 in empty cells was solved by simply opening excel-> Click on file-> Options -> Advanced -> de-select the checkbox containing "Show a zero in cells that have zero value. And for formula, you need to make sure that all cells involved in, should be of same format. Click on cell then right click, then select format and cross check the if format are same.

you can try this approach it helped me, but if you have migrated to null safety just make sure that you change the code accordingly

You might've sorted it out by now, but this confused me as well and it turns out that you set this up on the deployment setup. In my case I'm using DevOps/Pipelines, and on the pipeline (equivalent to Github Actions) you can choose which branch to source from. Then you run the pipeline, and that will automatically change the source in the Static Web app.

The "GitHub" extension in question should be the microsoft/vscode-pull-request-github, which, in its issues, does not mention anything about active and unknown at all.

I just tested on my VSCode 1.57, and clicking on that link does work.

Try and disable other plugins installed to see if one might cause the issue.

The OP JimBoyLim confirms in the comments:

I finally just reinstalled VSCode, and now its working!