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|
# `hello-decode` Sample
This sample shows how to use the Intel Video Processing Library (Intel VPL) 2.X common API to
perform a simple video decode.
| Optimized for | Description
|----------------- | ----------------------------------------
| OS | Ubuntu* 20.04/22.04; Windows* 10
| Hardware | Compatible with Intel VPL GPU implementation, which can be found at https://github.com/intel/vpl-gpu-rt
| | and Intel Media SDK GPU implementation, which can be found at https://github.com/Intel-Media-SDK/MediaSDK
| What You Will Learn | How to use Intel VPL to decode an H.265 encoded video file
| Time to Complete | 5 minutes
## Purpose
This sample is a command line application that takes a file containing an H.265
video elementary stream as an argument. Using Intel VPL, the application decodes
and writes the decoded output to a file `out.raw` in raw format.
Native raw frame output format: GPU=NV12.
## Key Implementation details
| Configuration | Default setting
| ----------------- | ----------------------------------
| Target device | GPU
| Input format | H.265 video elementary stream
| Output format | NV12
| Output resolution | same as the input
## License
Code samples are licensed under the MIT license.
## Building the `hello-decode` Program
### Include Files
The Intel VPL include folder is located at these locations on your development system:
- Windows: <vpl_install_dir>\include
- Linux: <vpl_install_dir>/include
### On a Linux* System
Perform the following steps:
1. Install prerequisites. To build and run the sample you need to
install prerequisite software and set up your environment:
- Follow the steps in [install.md](https://github.com/intel/libvpl/blob/master/INSTALL.md) or install libvpl-dev.
- Follow the steps in [dgpu-docs](https://dgpu-docs.intel.com/) according to your GPU.
- Install the packages using following commands:
```
apt update
apt install -y cmake build-essential pkg-config libva-dev libva-drm2 vainfo
```
2. Set up your environment using the following command.
```
source <vpl_install_dir>/etc/vpl/vars.sh
```
Here `<vpl_install_dir>` represents the root folder of your Intel VPL
installation. If you customized the
installation folder, it is in your custom location.
3. Build the program using the following commands:
```
mkdir build
cd build
cmake -DCMAKE_BUILD_TYPE=Release ..
cmake --build .
```
4. Run the program with default arguments using the following command:
```
./hello-decode -i ../../../content/cars_320x240.h265
```
### On a Windows* System Using Visual Studio* Version 2017 or Newer
#### Building the program using CMake
1. Install prerequisites. To build and run the sample you need to
install prerequisite software and set up your environment:
- Follow the steps in [install.md](https://github.com/intel/libvpl/blob/master/INSTALL.md) to install Intel VPL package.
- Visual Studio 2022
- [CMake](https://cmake.org)
2. Set up your environment using the following command.
```
<vpl_install_dir>\etc\vpl\vars.bat
```
Here `<vpl_install_dir>` represents the root folder of your Intel VPL
installation. If you customized the installation
folder, the `vars.bat` is in your custom location. Note that if a
compiler is not installed you should run in a Visual
Studio 64-bit command prompt.
3. Build the program with default arguments using the following commands:
```
mkdir build
cd build
cmake ..
cmake --build . --config Release
```
4. Run the program using the following command:
```
Release\hello-decode -i ..\..\..\content/cars_320x240.h265
```
## Running the Sample
### Example Output
```
Implementation details:
ApiVersion: 2.8
Implementation type: HW
AccelerationMode via: D3D11
DeviceID: 56a6/0
Path: C:\Windows\System32\DriverStore\FileRepository\iigd_dch.inf_amd64_a35f92e9f7f89b10\libmfx64-gen.dll
Decoding ..\..\..\content/cars_320x240.h265 -> out.raw
Output colorspace: NV12
Decoded 30 frames
```
You can find the output file `out.raw` in the build directory.
You can display the output with a video player that supports raw streams such as
FFplay. You can use the following command to display the output with FFplay:
```
ffplay -video_size 320x240 -pixel_format yuv420p -f rawvideo out.raw
```
Use nv12 for pixel_format for GPU output.
|
