Qengineering/YoloV5-NPU
YoloV5 NPU for the RK3566/68/88
This project offers pre-optimized computer vision models, specifically object detection (like identifying cars, people, or signs) and text recognition, tailored for embedded systems with Rockchip NPUs (Neural Processing Units). It takes live camera feeds or image files as input and outputs identified objects or text in real-time. This is intended for embedded systems developers or hobbyists building applications on devices like the Rock 5 or Radxa Zero 3.
124 stars. No commits in the last 6 months.
Use this if you need to perform fast object detection or text recognition on a low-power, embedded Linux device equipped with a Rockchip RK3566, RK3568, or RK3588 NPU.
Not ideal if you are looking for a general-purpose object detection library for desktop PCs, cloud servers, or devices without a compatible Rockchip NPU, as it's highly specialized for specific embedded hardware.
Stars
124
Forks
15
Language
C++
License
BSD-3-Clause
Category
Last pushed
Jun 19, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/Qengineering/YoloV5-NPU"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
PINTO0309/OpenVINO-YoloV3
YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO
RangiLyu/nanodet
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) /...
dog-qiuqiu/MobileNet-Yolo
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops...
Qengineering/Face-Recognition-Jetson-Nano
Recognize 2000+ faces on your Jetson Nano with database auto-fill and anti-spoofing
Qengineering/YoloV8-NPU
YoloV8 NPU for the RK3566/68/88