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植物表型特征识别系统 - Exam

https://showarp.github.io/2023/12/01/%E6%A4%8D%E7%89%A9%E8%A1%A8%E5%9E%8B%E7%89%B9%E5%BE%81%E8%AF%86%E5%88%AB%E7%B3%BB%E7%BB%9F/

植物表型特征识别系统该系统是一个nestjs构建后端react作为前端的系统,识别部分使用了 进行知识蒸馏以及集成学习之后的squeezenext模型,在模型大小不变的情况下大大提升了准确率。最后以onnx的形式导出并部署到网页端运行,减轻服务器负担。 系统整体设计框架我们的系统整体设计框架一共分为六层,分别是前端、展示层、业务层、数据层、数据库以及运行环境,我们将运行环境部署在服务器中。它们层层

Transformer原理解释(其一) - Exam

https://showarp.github.io/2024/03/12/Transformer%E5%8E%9F%E7%90%86%E8%A7%A3%E9%87%8A-%E5%85%B6%E4%B8%80/

Transformer 源码解析前言今天心血来潮,我认为从22年开始到如今的AI大爆发全是因为一篇来自2017年的一篇解决翻译问题的论文Attention is all you need导致的,而在此之前我了解的都是CNN方面的工作所以我想我也是时候了解一下这篇跨时代的论文(不然真的就out了)。在本文中我们结合Attention is all you need这篇论文来解读来自于pytorch官

基于opencv的qq游戏大家来找茬辅助工具 - Showarp

https://showarp.github.io/2023/12/01/%E5%9F%BA%E4%BA%8Eopencv%E7%9A%84qq%E6%B8%B8%E6%88%8F%E5%A4%A7%E5%AE%B6%E6%9D%A5%E6%89%BE%E8%8C%AC%E8%BE%85%E5%8A%A9%E5%B7%A5%E5%85%B7/

基于opencv的qq游戏大家来找茬辅助工具通过opencv处理图像以找到两图片中不一样的地方并使用pyautogui实现自动化点击。 程序演示 导入必要的库12345import osos.environ["OMP_NUM_THREADS"] = '1'import matplotlib.pyplot as pltimport cv2 as cvimpor

关于python数组比较 - Showarp

https://showarp.github.io/2023/01/24/%E5%85%B3%E4%BA%8Epython%E6%95%B0%E7%BB%84%E6%AF%94%E8%BE%83/

故事背景今天在用python自带的库heapq做堆排序的时候遇到了一个问题,在heapq中初始化堆列表heapq.heapify(arr)的时候由于arr是个二维数组[[1,3],[5,7],[9,6]]我想让这个函数根据每个元素里面的第二个元素为key来做排序,但是heapq.heapify(arr)又没有key参数。 深究细节在我们平常对两个数组的做判断的时候用得最多的时候就是==和!=但是大

leetcode.40 回溯算法,剪枝 - Showarp

https://showarp.github.io/2022/11/08/leetcode-40%20%E5%9B%9E%E6%BA%AF%E7%AE%97%E6%B3%95%EF%BC%8C%E5%89%AA%E6%9E%9D/

题目:给定一个候选人编号的集合 candidates 和一个目标数 target ,找出 candidates 中所有可以使数字和为 target 的组合。candidates 中的每个数字在每个组合中只能使用 一次 。注意:解集不能包含重复的组合。 实例112345678输入: candidates = [10,1,2,7,6,1,5], target = 8,输出:[[1,1,6],[1,2,

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