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github.com/Araxeus/PNG-Upscale @v1.0

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34 symbols 76 edges 3 files 1 documented · 3%

What it actually does AI analysis from the code graph — generated when you open this

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README

PNG Upscale

AI Super - Resolution

As a Demo this image was resized from 256x256 to 85x85, and then upscaled using this program

Original

x2 demo (85x85 > 170x170)

Original	Bicubic Interpolation	EDSR

ESPCN	FSRCNN	LapSRN

x4 demo (85x85 > 340x340)

Original	Bicubic Interpolation	EDSR

ESPCN	FSRCNN	LapSRN

Core symbols most depended-on inside this repo

write

called by 19

src/main/java/core/MainApp.java

getProperty

called by 8

src/main/java/core/SimpleProperties.java

getInstance

called by 6

src/main/java/core/SimpleProperties.java

setProperty

called by 4

src/main/java/core/SimpleProperties.java

setValue

called by 3

src/main/java/core/SimpleProperties.java

getString

called by 3

src/main/java/core/SimpleProperties.java

getBoolean

called by 3

src/main/java/core/SimpleProperties.java

setMode

called by 2

src/main/java/core/MainApp.java

Shape

Method 30

Class 3

Enum 1

Languages

Java100%

Modules by API surface

src/main/java/core/SimpleProperties.java16 symbols

src/main/java/core/MainApp.java15 symbols

src/main/java/core/Upscale.java3 symbols

For agents

$ claude mcp add PNG-Upscale \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact

github.com/Araxeus/PNG-Upscale @v1.0

PNG Upscale

As a Demo this image was resized from 256x256 to 85x85, and then upscaled using this program

x2 demo (85x85 > 170x170)

x4 demo (85x85 > 340x340)

Core symbols most depended-on inside this repo

Shape

Languages

Modules by API surface

For agents

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