Gratitude

I extend my deepest gratitude to the following individuals and resources for their invaluable contributions to this project:

• Isometric8: I created this program based on Isometric8's Sprite Sheet Slicer software. You can find it here.

• ClearCode: For generously providing the CustomTkinter template, which serves as the bedrock of this application. The insightful tutorial can be found here.

• Tuaplicacionpropia: For crafting the main algorithm that serves as the backbone of our image slicing functionality. The implementation details can be explored here.

• Cainos: For graciously offering the pixel art showcased in the video demonstration below. Cainos's creative work can be accessed here.

• All the dedicated developers and contributors behind the libraries utilized in this application. Their unwavering commitment and hard work have been instrumental in shaping this project.

Instructions for Auto Detection:

Basic Settings:

• Min Width, Min Height: Define the minimum dimensions of a rectangle; any objects smaller than this will merge with another object.
• Alpha Threshold: Pixels with an alpha value lower than this threshold are considered part of the background.
• Number of Cores: Adjust the number of CPU cores used for processing images; increase for faster processing with large images.
• Background Color: Current background color.
• Choose Color: Use this button to select a single pixel in the image as the background color.
• Detect: Initiate object detection.

Enhanced Features of Auto-Detection Mode:

Harness the power of additional utility tools to refine your results:

• Merge: Combine detected sprites into single units, ideal for overlapping elements or creating larger objects.
• Delete: Easily remove unwanted sprites from the selection with a single click.
• Add: Restore accidentally deleted sprites or include additional ones for comprehensive control.

Note: After performing the operations, press Enter to confirm.

Demo