1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140
|
# `hello-encode` Sample
This sample shows how to use the Intel Video Processing Library (Intel VPL) 2.X common API to
perform simple video encode.
| 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 encode a raw video file to H.265
| Time to Complete | 5 minutes
## Purpose
This sample is a command line application that takes a file containing a raw
format video elementary stream as an argument. Using Intel VPL, the application encodes and
writes the encoded output to `a out.h265` in H.265 format.
Native raw frame input format: GPU=NV12.
## Key Implementation details
| Configuration | Default setting
| ----------------- | ----------------------------------
| Target device | GPU
| Input format | NV12
| Output format | H.265 video elementary stream
| Output resolution | same as the input
## License
Code samples are licensed under the MIT license.
## Building the `hello-encode` 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-encode -i ../../../content/cars_320x240.i420 -w 320 -h 240
```
### 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-encode -i ..\..\..\content\cars_320x240.i420 -w 320 -h 240
```
## 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
Encoding ..\..\..\content\cars_320x240.i420 -> out.h265
Input colorspace: NV12
Encoded 30 frames
```
You can find the output file `out.h265` 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 out.h265
```
|