jeffqjiangNew
40 baris
2.0 KiB
Markdown
40 baris
2.0 KiB
Markdown
# Video decode sample
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The video decode sample illustrates decoding a single packetized video stream using FFMPEG demuxer, video parser, and rocDecoder to get the individual decoded frames in YUV format. This sample can be configured with a device ID and optionally able to dump the output to a file. This sample uses the high-level RocVideoDecoder class which connects both the video parser and Rocdecoder. This process repeats in a loop until all frames have been decoded.
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## Prerequisites:
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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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* 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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```shell
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mkdir video_decode_sample && cd video_decode_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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```shell
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./videodecode -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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-f <Number of decoded frames - specify the number of pictures to be decoded [optional]>
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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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-md5 <generate MD5 message digest on the decoded YUV image sequence [optional]>
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-md5_check MD5_File_Path <generate MD5 message digest on the decoded YUV image sequence and compare to the reference MD5 string in a file [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/3 : OUT_SURFACE_MEM_NOT_MAPPED]>
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``` |