2005-11-21(晴)

两首歌曲及链接分享
博客分享了两首歌曲,分别是谢霆锋的《给天使看的戏》,链接为http://www.show.sohu.com/readonly/20050928/song/200511/1130933393u5ei5.mp3;周传雄的《寂寞沙洲冷》,链接为http://music.00sky.com/music_3/wma0411/a425/3.Wma 。
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Stable-Diffusion-3.5

Stable-Diffusion-3.5

图片生成
Stable-Diffusion

Stable Diffusion 3.5 (SD 3.5) 是由 Stability AI 推出的新一代文本到图像生成模型,相比 3.0 版本,它提升了图像质量、运行速度和硬件效率

测试结果 0/1 共有1组测试集,其中有1组测试结果不匹配。详情如下: 测试集1 消耗内存1705.93MB 代码执行时长:24.12秒 —— 预期输出 —— —— 实际输出 —— 1986 1981,12,01,11,11,-61,10118,150,103,8,0,-9999 1981,12,01,15,17,-17,10101,160,36,8,1,-9999 1981,12,01,00,17,-78,10190,130,57,8,0,0 1981,12,01,01,17,-106,10182,140,62,8,0,-9999 1981,12,01,03,17,-94,10153,140,77,8,0,-9999 1981,12,01,06,17,-67,10137,160,88,8,0,0 1981,12,01,04,17,-89,10146,140,93,8,0,-9999 1981,12,01,14,17,-22,10105,160,93,8,0,-9999 1981,12,01,02,17,-94,10170,140,103,8,0,-9999 1981,12,01,16,22,-11,10093,160,72,8,0,-9999 1981,12,01,17,22,-6,10089,160,82,8,0,-9999 1981,12,01,19,44,-33,10059,170,62,8,0,-9999 1981,12,01,18,44,-33,10072,160,82,8,0,999 1981,12,01,23,56,-17,10044,150,67,8,0,-9999 1981,12,01,22,56,-17,10049,140,88,8,0,-9999 1981,12,01,21,61,-17,10051,160,46,8,0,-9999 1981,12,01,20,61,-28,10051,150,82,8,0,-9999 1981,12,02,23,39,-28,10097,360,31,8,0,-9999 1981,12,02,22,50,-33,10092,300,36,8,0,-9999 1981,12,02,17,50,-61,10079,260,57,8,0,-9999 1981,12,02,14,50,-50,10078,280,57,8,0,-9999 1981,12,02,15,50,-50,10086,290,62,8,0,-9999 1981,12,02,13,50,-22,10073,270,72,8,0,-9999 1981,12,02,18,50,-61,10079,260,77,8,0,-1 1981,12,02,21,56,-33,10059,280,36,8,0,-9999 1981,12,02,12,56,-17,10070,280,46,8,0,-1 1981,12,02,16,56,-61,10081,260,52,7,0,-9999 1981,12,02,00,56,-11,10048,150,67,8,0,0 1981,12,02,04,61,28,10054,-9999,0,8,0,-9999 1981,12,02,20,61,-17,10065,290,26,6,0,-9999 1981,12,02,01,61,0,10048,170,57,8,0,-9999 1981,12,02,02,61,17,10048,140,67,8,0,-9999 1981,12,02,03,72,28,10045,160,31,7,0,-9999 1981,12,02,19,72,-56,10064,270,36,5,0,-9999 1981,12,02,10,78,17,10046,250,46,8,0,-9999 1981,12,02,11,78,28,10054,280,57,8,0,-9999 1981,12,02,05,83,17,10054,200,46,7,0,-9999 1981,12,02,06,83,17,10038,210,52,7,0,-9999 1981,12,02,07,89,11,10038,210,41,7,0,-9999 1981,12,02,08,94,0,10043,230,57,8,0,-9999 1981,12,02,09,94,17,10043,260,62,8,0,-9999 1981,12,03,12,-6,-28,10142,250,36,6,0,0 1981,12,03,13,0,-22,10150,240,41,6,0,-9999 1981,12,03,14,6,-17,10157,240,36,7,0,-9999 1981,12,03,11,6,-22,10135,270,36,5,0,-9999 1981,12,03,10,6,-22,10126,280,36,8,0,-9999 1981,12,03,08,6,-6,10120,290,36,8,0,-9999 1981,12,03,09,6,-11,10120,280,41,8,0,-9999 1981,12,03,06,11,-22,10113,300,26,8,0,-1 1981,12,03,07,11,-28,10110,300,26,7,0,-9999 1981,12,03,05,22,-22,10120,290,31,8,0,-9999 1981,12,03,02,28,-28,10110,-9999,0,8,0,-9999 1981,12,03,03,28,-33,10120,340,26,8,0,-9999 1981,12,03,04,28,-33,10115,300,31,8,0,-9999 1981,12,03,16,28,-17,10158,280,36,6,0,-9999 1981,12,03,17,28,-11,10158,270,52,8,0,-9999 1981,12,03,01,33,-28,10106,10,21,8,0,-9999 1981,12,03,00,33,-17,10102,360,26,8,0,-9999 1981,12,03,23,33,-17,10154,190,31,7,0,-9999 1981,12,03,15,33,-17,10155,280,36,5,0,-9999 1981,12,03,19,44,-22,10142,280,36,8,0,-9999 1981,12,03,22,44,-17,10151,230,41,7,0,-9999 1981,12,03,18,44,-17,10138,260,46,6,0,0 1981,12,03,20,44,-22,10147,260,52,8,0,-9999 1981,12,03,21,50,-17,10146,240,52,7,0,-9999 1981,12,04,01,22,-17,10155,180,36,7,0,-9999 1981,12,04,03,22,-6,10147,220,41,4,0,-9999 1981,12,04,04,22,-11,10147,210,46,6,0,-9999 1981,12,04,00,28,-22,10155,170,26,6,0,0 1981,12,04,02,28,-22,10151,190,36,6,0,-9999 1981,12,04,05,33,-17,10146,220,46,7,0,-9999 1981,12,04,06,39,-22,10139,230,46,8,0,0cat: `/cleanout/part-r-00000': No such file or directory 0 cat: `/cleanout/*': No such file or directory 怎么回事,一直过不去
10-22
【无人机】基于改进粒子群算法的无人机路径规划研究[和遗传算法、粒子群算法进行比较](Matlab代码实现)内容概要:本文围绕基于改进粒子群算法的无人机路径规划展开研究,重点探讨了在复杂环境中利用改进粒子群算法(PSO)实现无人机三维路径规划的方法,并将其与遗传算法(GA)、标准粒子群算法等传统优化算法进行对比分析。研究内容涵盖路径规划的多目标优化、避障策略、航路点约束以及算法收敛性和寻优能力的评估,所有实验均通过Matlab代码实现,提供了完整的仿真验证流程。文章还提到了多种智能优化算法在无人机路径规划中的应用比较,突出了改进PSO在收敛速度和全局寻优方面的优势。; 适合人群:具备一定Matlab编程基础和优化算法知识的研究生、科研人员及从事无人机路径规划、智能优化算法研究的相关技术人员。; 使用场景及目标:①用于无人机在复杂地形或动态环境下的三维路径规划仿真研究;②比较不同智能优化算法(如PSO、GA、蚁群算法、RRT等)在路径规划中的性能差异;③为多目标优化问题提供算法选型和改进思路。; 阅读建议:建议读者结合文中提供的Matlab代码进行实践操作,重点关注算法的参数设置、适应度函数设计及路径约束处理方式,同时可参考文中提到的多种算法对比思路,拓展到其他智能优化算法的研究与改进中。
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