A Blazing Fast Image Library Implemented Is C++ That Is Able To Read And Write Targa (.tga) Image Files. It Is Fully Compliant With The Targa Version 2.0 Specification Located Here: http://www.dca.fee.unicamp.br/~martino/disciplinas/ea978/tgaffs.pdf
Many Image Libraries Are Designed To Handle Many Different File Formats. That Has It's Advantages For Sure, But It Also Has It's Draw Backs. When Dealing With Libraries That Cater To Many Formats, The Library Has To Be Written And Designed With The Lowest Common Denominator Center Stage. This Often Leads To Many Or Most Features Of A File Format To Be Completely Missing, Choosing To Only Implement Support For Reading And Writing Actual Pixel Data. The Targa File Format, As Well As Many Others, Can Actually Describe More Information Than Simply Pixel Data Such As Author Name, Thumbnails, Application-Specific User Data, And More. Below Is A List Of Advantages Of Using FastTarga
- Full Specification Compliance For All Versions Including The Latest, Version 2.0
- Full Support For All Specification Features Such As Developer And Extension Areas
- Header Only Library. Simply Include The Header And Be On Your Way
- Implemented In Blazing Fast Optimized C++
- Wrapper Libraries For C#, Java, And Python
Simply Include The TargaImage.h Header File In Your Project
Simply Add FastTarga.Net.dll As A Reference To Your Project
Simply Import FastTarga.jar Into Your Project
Simply Import FastTarga.py Into Your Project
Note: Make Sure That With Every Language, The Native FastTarga.dll C++ Library Is Located Where The Application Can Find It (Usually In The Same Directory As Your Application). For C++ Header-Only Builds, There Will Be No FastTarga.dll
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