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Rajy Rawther 39e274d02d rocDecode resize sample implementation (#285 )

* WIP: resize kernels

* hipified kernels for scaling from cuda

* updated videodecodeRGB sample for scaling

* added stream parameter to kernels

* add scale kernels using tex2d and NN

* enable tex2D kernels

* add NN resize kernels

* fixed scaling kernels

* fixed tex2D scaling kernel for UV scaling

* minor formatting

* address review comments

---------

Co-authored-by: Aryan Salmanpour <aryan.salmanpour@amd.com>

2024-03-18 08:32:19 -04:00

CMakeLists.txt

rocDecode resize sample implementation (#285 )

2024-03-18 08:32:19 -04:00

README.md

Doc - Updates (#231 )

2024-02-09 13:31:44 -05:00

videodecrgb.cpp

rocDecode resize sample implementation (#285 )

2024-03-18 08:32:19 -04:00

README.md

Video decode RGB sample

This sample illustrates the FFMPEG demuxer to get the individual frames which are then decoded using rocDecode API and optionally color-converted using custom HIP kernels on AMD hardware. This sample converts decoded YUV output to one of the RGB or BGR formats(24bit, 32bit, 464bit) in a separate thread allowing it to run both VCN hardware and compute engine in parallel.

This sample uses HIP kernels to showcase the color conversion. Whenever a frame is ready after decoding, the ColorSpaceConversionThread is notified and can be used for post-processing.

Prerequisites:

Install rocDecode
FFMPEG
- On Ubuntu
```
sudo apt install ffmpeg libavcodec-dev libavformat-dev libavutil-dev
```
- On RHEL/SLES - install ffmpeg development packages manually or use rocDecode-setup.py script

Build

mkdir video_decode_rgb_sample && cd video_decode_rgb_sample
cmake ../
make -j

Run

./videodecodergb    -i <input video file - required> 
                    -o <optional; output path to save decoded YUV frames>
                    -d <GPU device ID, 0 for the first device, 1 for the second device, etc> 
                    -of <optional: output format bgr, bgra, bgr48, bgr64 etc>