A console/terminal demo of cropping an image with numpy slicing, supporting Windows 11 and Ubuntu Linux 24.04. The crop is written as crop = img[y:y+h, x:x+w], where the slice takes y (the rows) before x (the columns). By default the crop is half the image size, starting at a quarter of the image. Two example images ship under data/ (Lena and sample), and the result is saved to model/crop/. No GPU is involved.

 

[Folder Structure]

  • CLAUDE.md / AGENT.md: program specification (identical content).
  • CHANGELOG.md: change log.
  • copyright.txt: copyright notice.
  • data/: the example images Lena.png and sample.png.
  • model/crop/: the result crop.png; the Lena example is included.
  • tool/tools.py: shared helpers.
  • src/: the demo, the launcher scripts and this document.
  • venv/: Python virtual environment, created by step 01.

[Prerequisites]

  • Operating system: Windows 11 or Ubuntu Linux 24.04.
  • Python 3 and pip.
  • No GPU required; an ordinary CPU is enough.

[Instructions]

Step 1: Create the virtual environment

Delete the old venv/, create a fresh one and install the packages listed in src/requirements.txt. The script aborts loudly if pip fails.

 

Windows: src\01_venv_create.bat

Linux: bash src/01_venv_create.sh

Step 2: Activate the virtual environment

Activate the venv. On Linux, source the script.

 

Windows: src\02_venv_activate.bat

Linux: source src/02_venv_activate.sh

Step 3: Crop the image

Run the crop demo. Any extra arguments are forwarded to the program.

 

Windows: src\03_crop.bat

Linux: bash src/03_crop.sh

To use your own image and rectangle, for example:

bash src/03_crop.sh --source data/sample.png --x 10 --y 20 --width 200 --height 150

 

Step 4: Remove the virtual environment

Delete the venv/ folder.

 

Windows: src\99_venv_clear.bat

Linux: bash src/99_venv_clear.sh

[Python Entry Point]

  • src/crop.py: [--source IMG] [--x] [--y] [--width] [--height] [--output-dir DIR] [--show]. By default the crop width and height are half the image, and x and y start at a quarter of the image. It saves crop.png to model/crop/ and prints the crop rectangle; --show also opens the result in a window. An out-of-bounds crop is rejected with a clear error.

[References]

 

This SDK is built in AppForAI - AI Dev Tools.

 

Purchase license separately:  USD 600, permanent authorization, single APP authorization, single machine authorization, one-year activation, one-year download, one-year update, one-year email technical support.