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Updated documentation
- added some NEWS - INSTALL: only reference README
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INSTALL

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== Requires ==
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NVidia CUDA toolkit & NVidia CUDA SDK
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== Compilation ==
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run:
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# ./autogen.sh
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# ./configure # (optional, called automatically by autogen.sh)
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# make
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If you wish to specify path to your CUDA instalation, call
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configure as
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# ./configure --with-cuda=/path/to/cuda/root
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== Instalation ==
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# make install
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For the default install DESTDIR value (/usr/local), consider updating your
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PKG_CONFIG_PATH and LD_LIBRARY_PATH variables
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See README.md for installation instructions.
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NEWS

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2020-10-02
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----------
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- Support for SPIFF files (decode, encode limited-range BT.709, BT.601)
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- Support for FFmpeg limited-range BT.601 JPEGs
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2020-05-12
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----------
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- Support for PNM and PAM files
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2020-03-10
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----------
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- Command-line application is now supported in MSW
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2020-01-21
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----------
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- Support for RGBA buffers
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- Raw RGBA and I420 files supported
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2019-12-02
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----------
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- Decoder compatibility with more (foreign) JPEGs
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2019-06-18
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- Support for RGB JPEG images
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2016-03-07
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----------
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- Support for decoding to OpenGL texture or CUDA buffer
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- Encoding different image sizes
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- Support for encoding of planar images (limited)
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2013-03-19
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----------
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- New IDCT computing kernel 43 % faster
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2012-08-02
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----------
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Changes:
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Features:
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-Baseline JPEG, non-interleaved mode on CUDA-enabled GPUs.
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-Performance - realtime HD and 4K encoding/decoding on NVIDIA GTX 580.
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-Using CUDA and NPP library.
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-Using CUDA and NPP library.

README.md

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**JPEG** encoder and decoder library and console application for **NVIDIA GPUs**.
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This documents provides an introduction to the library and how to use it. You
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can also look at [FAQ](FAQ.md) for additional information.
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can also look at [FAQ](FAQ.md) for additional information. To list _latest_changes_
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you can display file [NEWS](NEWS).
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Table of contents
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-----------------
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-------
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- Martin Srom, CESNET z.s.p.o
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- Jan Brothánek
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- Petr Holub
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- Martin Jirman
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- Jiri Matela
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- Martin Pulec
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- Petr Holub
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- Lukáš Ručka
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Description
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-----------
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[2]: http://www.ijg.org/
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[3]: https://github.com/silicongenome/SiGenGPU
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[4]: https://www.ecma-international.org/publications/files/ECMA-TR/ECMA%20TR-098.pdf
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[5]: https://www.itu.int/rec/dologin_pub.asp?lang=e&id=T-REC-T.84-199607-I!!PDF-E&type=items
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1. [ITU T-81][1]
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2. [ILG][2]
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3. [SiGenGPU][3] (currently defunct)
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4. [ECMA TR/098 (JFIF)][4]
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5. [ITU-T T.84 (SPIFF)][5]
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