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wzxzhuxi/rknn-3588-npu-yolo-accelerate-saturated

推理 180 FPS , 全链路 175 FPS , rk3588部署yolov5,利用线程池实现npu推理加速;Deploying YOLOv5 on RKNN-3588, utilizing a thread pool to achieve NPU inference acceleration.

#Image recognition
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C++
151
29
1 contributors
Apache License 2.0
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Momentum

How fast wzxzhuxi/rknn-3588-npu-yolo-accelerate-saturated is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Oct 16 – Oct 22, 2026

Stars +2 in 7 days

012
2

Forks +1 in 7 days

01
1

Merged PRs 0 in 7 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Oct 16Oct 17Oct 18Oct 19Oct 20Oct 21Oct 22
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Fri, Oct 16, 2026+0+00
Sat, Oct 17, 2026+0+00
Sun, Oct 18, 2026+0+10
Mon, Oct 19, 2026+0+00
Tue, Oct 20, 2026+0+00
Wed, Oct 21, 2026+0+00
Thu, Oct 22, 2026+2+00
Total+2+10
  • 1#1 on the list
  • 7Rank that day
  • Not trending

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