• tool_pyocr.py: extract text from PNG (screenshot) files using OCR(Tesseract)
  • Commands:
    • run-ocr: argument: month(1 to 12)
      • Example: python3 tool_pyocr.py run-ocr 4
• tile.py

1. App route: ~/screen/from contextlib import closing
2. Year: screen/2025/
3. Month: screen/2025/01/ : 01 is January.

• 7-seg.pkl

• DigitImage class in digit_image.py:

  • classmethod calc_font_scale returns font_scale ignores font line width.

• num_to_strokes.py

  

@add_number(size: tuple[int, int]=(100, 50), pos: AddPos=AddPos.C, bgcolor=ImageFill.WHITE)

• Needs to set number_str:str param. when to call the decorated function .

  (7+1)-segment display(the 8th is comma/period):

  SegElem(Enum)class: from A to G is assigned as a SegPath, H is CSegPath(:SegPath descendant). SegPath has draw(drw: ImageDraw.ImageDraw) method, class Bit8(Flag): H member is for comma A F B G E C D

1. convert png files into a pdf file: convert *.png dest.pdf

2. upload the pdf file onto Google Drive, then open and open-with-app:Document then download as markdown format.

3. extract data from downloaded markdown file.