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Tool: FroggoCutter, Online Ragnarok Background Generator


Sapito Sucio

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This is a simple site that allows you to create your own RO Login Background. It's now fully functional. With this tool, you can upload any image of your choice and select the desired area to be cropped. You can also adjust the aspect ratio to your liking.

Features:

  • Support for t_login.jpg output for newer clients
  • Multiple quantization algorithms for 8-bit mode (NeuQuant, Median Cut, K-Means, etc.)
  • Optional noise dithering to improve quality of images with blending showed on the RO Client

Output Options:

  • Default output (24-bit BMP): Produces high quality images
  • 8-bit BMP: Reduces the final output size significantly (with some quality loss)
  • t_login.jpg: For modern clients that support JPEG backgrounds

Tool URL: FroggoCutter (sapitosucio.github.io)

 

The files generated have the following format: t_¹è°æX-Y.bmp, said files are compressed into a .zip file, then it's downloaded.

Do remember those BMPs files should be placed on:

data\texture\À¯ÀúÀÎÅÍÆäÀ̽º

 

Btw everything is done locally, nothing is uploaded.

You can see it's source code here

 

Known Issues:

  • When you try to slice a big image (>2000px) and 8Bit is selected, the browser may lock itself for a few seconds (❁´◡`❁)

 

Froggo tip of the day: Use big images(>2000px), upscale them or something and then, slice it, the final result is quite gucci 🤏🕶️🐸


Some SS:

image.thumb.png.9920743a2fca0c73491deea3021fca06.png

The manipulation part:
image.thumb.png.01dff7acb4d1e4eac2992d1962cf71cd.png

 

BMPs loaded by client:

image.thumb.png.0f39b39e02358637b50ae6bf8f1b5269.png

 

 

 

Edited by Sapito Sucio
Improving
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  • 1 year later...

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NEW: t_login.jpg output added for newer clients

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  • 8 months later...

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Thank you so much

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  • 3 months later...

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New design, new quantification methods, new options.

- Added option to add 'Noise' to the image, this is so helpful in BMP images showed in the RO client, especially those with color blending.
- Now the user is warned if big image is detected and 8bit checkbox is activated.
- Added quant method ranking
- Added 2 new quantification methods
- Transitions added in several places 
 

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