Atlas 500 A2 智能小站 ffmpeg硬件编解码报错_MindIE_昇腾论坛

# Atlas 500 A2 智能小站 ffmpeg硬件编解码报错_MindIE_昇腾论坛

## 概述

本文档基于昇腾社区论坛帖子生成的技术教程。

**原始链接**: https://www.hiascend.com/forum/thread-02102190545156868265-1-1.html

**生成时间**: 2025-08-27 10:33:56

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## 问题描述

在智能小站上安装ffmpeg根据此文档https://gitee.com/ascend/mindsdk-referenceapps/blob/master/VisionSDK/AscendFFmpegPlugin/README.md 安装成功 执行命令./ffmpeg -hwaccel ascend -c:v h264_ascend -i test.264 -c:v h264_ascend out.264 报错 我启动容器的命令是 docker run --name tjh -it -u root --pid=host \ --memory 7g \ --device=/dev/svm0 \ --device /dev/davinci0:/dev/davinci0 \ --device /dev/davinci_manager:/dev/davinci_manager \ --device=/dev/dvpp_cmdlist:/dev/dvpp_cmdlist \ -v /usr/local/sbin/npu-smi:/usr/local/sbin/npu-smi \ -v /usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64 \ -v /etc/sys_version.conf:/etc/sys_version.conf \ -v /var/dmp_daemon:/var/dmp_daemon \ -v /etc/hdcBasic.cfg:/etc/hdcBasic.cfg \ -v /usr/lib64/libaicpu_processer.so:/usr/lib64/libaicpu_processer.so \ -v /usr/lib64/libaicpu_prof.so:/usr/lib64/libaicpu_prof.so \ -v /usr/lib64/libaicpu_sharder.so:/usr/lib64/libaicpu_sharder.so \ -v /usr/lib64/libadump.so:/usr/lib64/libadump.so \ -v /usr/lib64/libtsd_eventclient.so:/usr/lib64/libtsd_eventclien...

## 相关图片

### 图片 1

![cke_1640.png](https://fileserver.developer.huaweicloud.com/FileServer/getFile/cmtybbs/e64/e75/94c/242d42d4d9e64e7594c24468625265bf.20250814090443.70546865549888718173378275525683:20250827013605:2400:2EF72190FB3B5282FCC56A5379E88F637947089F353E27E674DAE889C308847B.png)

**图片地址**: https://fileserver.developer.huaweicloud.com/FileServer/getFile/cmtybbs/e64/e75/94c/242d42d4d9e64e7594c24468625265bf.20250814090443.70546865549888718173378275525683:20250827013605:2400:2EF72190FB3B5282FCC56A5379E88F637947089F353E27E674DAE889C308847B.png

**图片描述**: cke_1640.png

### 图片 2

![cke_5352.png](https://fileserver.developer.huaweicloud.com/FileServer/getFile/cmtybbs/e64/e75/94c/242d42d4d9e64e7594c24468625265bf.20250814090651.45565860761592579973427555403254:20250827013605:2400:A25E985222CEBDAF6FFF984C595B7D1399407CC8114B89A7AE4136C375CBA8B3.png)

**图片地址**: https://fileserver.developer.huaweicloud.com/FileServer/getFile/cmtybbs/e64/e75/94c/242d42d4d9e64e7594c24468625265bf.20250814090651.45565860761592579973427555403254:20250827013605:2400:A25E985222CEBDAF6FFF984C595B7D1399407CC8114B89A7AE4136C375CBA8B3.png

**图片描述**: cke_5352.png

### 图片 3

![cke_5866.png](https://fileserver.developer.huaweicloud.com/FileServer/getFile/cmtybbs/e64/e75/94c/242d42d4d9e64e7594c24468625265bf.20250814090730.24821088595212139840920030032469:20250827013605:2400:437C7F5B3CE7E80F42F46D8A21D4EF71CB55B7E3E5F8A2ACCBF52402AD130D67.png)

**图片地址**: https://fileserver.developer.huaweicloud.com/FileServer/getFile/cmtybbs/e64/e75/94c/242d42d4d9e64e7594c24468625265bf.20250814090730.24821088595212139840920030032469:20250827013605:2400:437C7F5B3CE7E80F42F46D8A21D4EF71CB55B7E3E5F8A2ACCBF52402AD130D67.png

**图片描述**: cke_5866.png

## 完整内容

在智能小站上安装ffmpeg根据此文档https://gitee.com/ascend/mindsdk-referenceapps/blob/master/VisionSDK/AscendFFmpegPlugin/README.md 安装成功 执行命令./ffmpeg -hwaccel ascend -c:v h264_ascend -i test.264 -c:v h264_ascend out.264 报错 我启动容器的命令是 docker run --name tjh -it -u root --pid=host \ --memory 7g \ --device=/dev/svm0 \ --device /dev/davinci0:/dev/davinci0 \ --device /dev/davinci_manager:/dev/davinci_manager \ --device=/dev/dvpp_cmdlist:/dev/dvpp_cmdlist \ -v /usr/local/sbin/npu-smi:/usr/local/sbin/npu-smi \ -v /usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64 \ -v /etc/sys_version.conf:/etc/sys_version.conf \ -v /var/dmp_daemon:/var/dmp_daemon \ -v /etc/hdcBasic.cfg:/etc/hdcBasic.cfg \ -v /usr/lib64/libaicpu_processer.so:/usr/lib64/libaicpu_processer.so \ -v /usr/lib64/libaicpu_prof.so:/usr/lib64/libaicpu_prof.so \ -v /usr/lib64/libaicpu_sharder.so:/usr/lib64/libaicpu_sharder.so \ -v /usr/lib64/libadump.so:/usr/lib64/libadump.so \ -v /usr/lib64/libtsd_eventclient.so:/usr/lib64/libtsd_eventclient.so \ -v /usr/lib64/libaicpu_scheduler.so:/usr/lib64/libaicpu_scheduler.so \ -v /usr/lib64/libcrypto.so.1.1.1m:/usr/lib64/libcrypto.so.1.1 \ -v /usr/lib64/libyaml-0.so.2.0.9:/usr/lib64/libyaml-0.so.2 \ -v /usr/lib64/libdcmi.so:/usr/lib64/libdcmi.so \ -v /usr/lib64/libmpi_dvpp_adapter.so:/usr/lib64/libmpi_dvpp_adapter.so \ -v /usr/lib64/aicpu_kernels/:/usr/lib64/aicpu_kernels/ \ -v /usr/lib64/libstackcore.so:/usr/lib64/libstackcore.so \ -v /var/slogd:/var/slogd \ 192.168.1.16:5000/tjh/ffmpeg:arm64_4.4.1 另外在安装ffmpeg时候小站资源cpu和内存资源会撑满导致报错 /usr/include/linux/perf_event.h:18:10: fatal error: /usr/local/include/linux/types.h: Cannot allocate memory docker启动容器少挂载了device如下即可成功运行 docker run --name tjh -it -u root --pid=host --memory 7g --device=/dev/upgrade:/dev/upgrade --device=/dev/davinci0:/dev/davinci0 --device=/dev/davinci_manager:/dev/davinci_manager --device=/dev/vdec:/dev/vdec --device=/dev/vpc:/dev/vpc --device=/dev/pngd:/dev/pngd --device=/dev/venc:/dev/venc --device=/dev/sys:/dev/sys --device=/dev/svm0 --device=/dev/ts_aisle:/dev/ts_aisle --device=/dev/dvpp_cmdlist:/dev/dvpp_cmdlist -v /etc/sys_version.conf:/etc/sys_version.conf:ro -v /etc/hdcBasic.cfg:/etc/hdcBasic.cfg:ro -v /usr/lib64/libaicpu_processer.so:/usr/lib64/libaicpu_processer.so:ro -v /usr/lib64/libaicpu_prof.so:/usr/lib64/libaicpu_prof.so:ro -v /usr/lib64/libaicpu_sharder.so:/usr/lib64/libaicpu_sharder.so:ro -v /usr/lib64/libadump.so:/usr/lib64/libadump.so:ro -v /usr/lib64/libtsd_eventclient.so:/usr/lib64/libtsd_eventclient.so:ro -v /usr/lib64/libaicpu_scheduler.so:/usr/lib64/libaicpu_scheduler.so:ro -v /usr/lib64/libcrypto.so.1.1:/usr/lib64/libcrypto.so.1.1:ro -v /usr/lib64/libyaml-0.so.2.0.9:/usr/lib64/libyaml-0.so.2:ro -v /usr/lib64/libdcmi.so:/usr/lib64/libdcmi.so:ro -v /usr/lib64/libmpi_dvpp_adapter.so:/usr/lib64/libmpi_dvpp_adapter.so:ro -v /usr/lib64/aicpu_kernels/:/usr/lib64/aicpu_kernels/:ro -v /usr/local/sbin/npu-smi:/usr/local/sbin/npu-smi:ro -v /usr/lib64/libstackcore.so:/usr/lib64/libstackcore.so:ro -v /usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64:ro -v /var/slogd:/var/slogd:ro -v /var/dmp_daemon:/var/dmp_daemon:ro 192.168.1.16:5000/images/ubuntu-arm-py310-nnrt:0.1 /bin/bash

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## 技术要点总结

基于以上内容，主要技术要点包括：

1. **问题类型**: 错误处理
2. **涉及技术**: MindIE, HTTPS, NPU, Docker, Atlas, 昇腾, CANN, AI
3. **解决方案**: 请参考完整内容中的解决方案

## 相关资源

- 昇腾社区: https://www.hiascend.com/
- 昇腾论坛: https://www.hiascend.com/forum/

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*本文档由AI自动生成，仅供参考。如有疑问，请参考原始帖子。*