Tencent / Tencent/ncnn

有偿解决在yolact在android端推理慢

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#3,979 3 comments 0 reactions 0 assignees View on GitHub

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Dominant language
C++
Stars
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Forks
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Avg merge
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Merged PRs (30d)
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Description

用yolact预训练模型转换之后,在android推理慢,不流畅,付费寻求解决方案,用其它的推理框架都行,如果可以实现,请加QQ105378242

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First steps

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  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue concerns slow YOLACT inference on Android after converting a pretrained model, but names no files, tests, or entry points. Start by reproducing the converted model on Android and measuring inference performance; done would require a demonstrated improvement or a documented working alternative framework.

Written by the indexing model from the issue text.

Assessment

Tech stack
android, cpp
Domain
machine-learning, mobile-dev, performance
Issue type
Bug
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
15/100

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