🌈 Innumerable stories and lovely people around me do make sense.
- 🏙️ Current work in Haidian District, Beijing.
- 🧑 LLM inference Acceleration.
- 🔧 C/C++, Python.
- 📧 Contact me: [email protected]
关于算法处理实时视频流性能不足使用并行处理的方案和优化(APP层面)。
License: GNU General Public License v3.0
🌈 Innumerable stories and lovely people around me do make sense.
您好,谢谢您的分享,十分受用。
有一个点我很好奇:
算法使用的是Qualcomm的SNPE DL框架,根据之前开发的测试得知DSP实例最多可以起七个,AIP实例可以起10个,各个实例之间相互效率影响并不大,于是就想到通过并行运行算法,设计一个缓冲池,同时处理多张图片,再一次性送显示,于是就有了v2的设计。
想问问您这一块的详细情况,影响不大的程度大概是怎样? 因为我目前的任务是轻量化算法,所以对时间影响很敏感。多谢了!
可以留个联系方式吗?请教下如何把训练好的yolo模型转dlc
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