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# Video Decode Sample
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This sample illustrates a way to pass the data chunk-by-chunk sequentially to the FFMPEG demuxer which are then decoded on AMD hardware using rocDecode library.
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# Video decode memory sample
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The video decode memory sample illustrates a way to pass the data chunk-by-chunk sequentially to the FFMPEG demuxer which are then decoded on AMD hardware using rocDecode library.
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The sample provides a user class `FileStreamProvider` derived from the existing `VideoDemuxer::StreamProvider` to read a video file and fill the buffer owned by the demuxer. It then takes frames from this buffer for further parsing and decoding.
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## Prerequisites:
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* Linux distribution
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+ Ubuntu - `20.04` / `22.04`
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* [ROCm supported hardware](https://rocm.docs.amd.com/en/latest/release/gpu_os_support.html)
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* Install [ROCm 5.5 or later](https://rocmdocs.amd.com/en/latest/deploy/linux/installer/install.html) with `--usecase=graphics,rocm --no-32`
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* rocDecode
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* CMake `3.5` or later
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* Install [rocDecode](../../README.md#build-and-install-instructions)
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* [FFMPEG](https://ffmpeg.org/about.html)
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* On `Ubuntu`
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```shell
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sudo apt install ffmpeg libavcodec-dev libavformat-dev libavutil-dev
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```
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sudo apt install ffmpeg
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```
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* On `RHEL`/`SLES` - install ffmpeg development packages manually or use [rocDecode-setup.py](../../rocDecode-setup.py) script
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## Build
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```
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mkdir build
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cd build
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```shell
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mkdir video_decode_mem_sample && cd video_decode_mem_sample
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cmake ../
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make -j
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```
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# Run
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```
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./videodecodemem -i <input video file [required]>
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-o <output path to save decoded YUV frames [optional]>
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-d <GPU device ID - 0:device 0 / 1:device 1/ ... [optional - default:0]>
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-z <force_zero_latency - Decoded frames will be flushed out for display immediately [optional]>
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-sei <extract SEI messages [optional]>
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-crop <crop rectangle for output (not used when using interopped decoded frame) [optional - default: 0,0,0,0]>
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-m <output_surface_memory_type - decoded surface memory [optional - default: 0][0 : OUT_SURFACE_MEM_DEV_INTERNAL/ 1 : OUT_SURFACE_MEM_DEV_COPIED/ 2 : OUT_SURFACE_MEM_HOST_COPIED]>
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## Run
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```shell
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./videodecodemem -i <input video file [required]>
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-o <output path to save decoded YUV frames [optional]>
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-d <GPU device ID - 0:device 0 / 1:device 1/ ... [optional - default:0]>
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-z <force_zero_latency - Decoded frames will be flushed out for display immediately [optional]>
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-sei <extract SEI messages [optional]>
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-crop <crop rectangle for output (not used when using interopped decoded frame) [optional - default: 0,0,0,0]>
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-m <output_surface_memory_type - decoded surface memory [optional - default: 0][0 : OUT_SURFACE_MEM_DEV_INTERNAL/ 1 : OUT_SURFACE_MEM_DEV_COPIED/ 2 : OUT_SURFACE_MEM_HOST_COPIED]>
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```
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