A MATLAB toolbox for Photoplethysmography Imaging
no-deep-learning 开源项目推荐(6 个)
no-deep-learning 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
6收录项目
119Star 总量
3覆盖语言
相关标签
热门项目 全部 6
GitHub 共 6 个仓库,已全部展示partofthestars /PPGI-Toolbox
MATLAB89
MDVR9980 /Iranian-License-Plate-Segmentation
一种轻量级、基于启发式的算法,使用 OpenCV 对伊朗车牌中的字符进行分割。无需深度学习即可稳健处理阴影、噪声和粘连字符,准确率达到 98.68%。
Python24
End1essspace /RVisionT
Engineering-oriented OCR pipeline focused on robustness and stability
Python5
breadrock1 /CVLCore
The CVLCore project is an opportunity for continuous analysis of a video stream with the functionality of calibrating parameters to generate a vibro-image, including calculating statistics of changes in vibrating pixels.
Rust1
mmcza /License-plate-recognition
Goal of the project is to recognize license plates on images without using deep learning methods. Project was prepared for course "Vision systems". Final accuracy on test set was around 80-85%.
Python0
javieratcservicios /rtsp-smoke-detection
Smoke detection for IP cameras by relative contrast against clean reference zones. No GPU, no dataset, no training.
Python0
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 6 个项目;原始页面见 https://github.com/topics/no-deep-learning。
- 该话题在 GitHub 上共有 6 个仓库, 本站收录的是其中最热门的 6 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 6 个项目累计 119 Star,覆盖 3 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。