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
|
# `hello-transcode` Sample
This sample shows how to use the Intel Video Processing Library (Intel VPL) 2.X API to
perform simple video transcode.
| Optimized for | Description
|----------------- | ----------------------------------------
| OS | Ubuntu* 20.04; Windows* 10
| Hardware | Compatible with Intel VPL GPU implementation, which can be found at https://github.com/intel/vpl-gpu-rt
| What You Will Learn | How to use Intel VPL to transcode a MJPEG encoded video file to H.265 encoded video file
| Time to Complete | 5 minutes
## Purpose
This sample is a command line application that takes a file containing a JPEG video elementary stream as an argument, decodes it, and encodes the output with Intel VPL and writes the encoded output to the file `out.h265` in H.265 format.
## Key Implementation details
| Configuration | Default setting
| ----------------- | ----------------------------------
| Target device | GPU
| Input format | MJPEG video elementary stream
| Output format | H.265 video elementary stream
| Output resolution | same as input
## License
Code samples are licensed under the MIT license.
## Building the `hello-transcode` 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 the prerequisite software. 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-transcode -i ../../../content/cars_320x240.mjpeg
```
### 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-transcode -i ..\..\..\content\cars_320x240.mjpeg
```
## Running the Sample
### Example of Output
```
Implementation details:
ApiVersion: 2.8
Implementation type: HW
AccelerationMode via: VAAPI
DeviceID: 56a0/0
Path: /usr/lib/x86_64-linux-gnu/libmfx-gen.so.1.2.8
Transcoding ../../../content/cars_320x240.mjpeg -> out.h265
Transcoded 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
```
|
