3d object converter是款专业强大的3d文件浏览以及转换工具。3d object converter为用户提供了强大的3d多边形模型翻译以及交互式查看方式,允许用户从外部导入任意3d模型数据,以非常准确和高质量导出到各种行业标准的3D文件格式。
2021-08-24 11:32:44 1.82MB 3D文件格式
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让彩色!:灰度图像的自动着色 概述 这段代码使用Tensorflow在python中提供了的实现: "Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification" Satoshi Iizuka, Edgar Simo-Serra, and Hiroshi Ishikawa ACM Transaction on Graphics (Proc. of SIGGRAPH 2016), 2016 本文提供了一种使用深层网络自动为灰度图像着色的方法。 该网络在单个框架中共同学习局部特征和全局特征,然后可以将其用于任何分辨率的图像上。 通过合并全局特征,可以使用
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PubLayNet PubLayNet是文档图像的大型数据集,其布局用边框和多边形分割标注。 有关更多信息,请参见 PMC4334925_00006.jpg PMC538274_00004.jpg 最近更新 15/Sept/2020年15/Sept/2020 -添加培训代码。 29/Feb/2020年29/Feb/2020 -为maskrcnn_resnet50_fpn添加基准测试。 22/Feb/2020年22/Feb/2020 -(Pytorch)中的预训练Mask-RCNN模型。 标杆管理 建筑学 Iter num(x16) 美联社 AP50 AP75 AP小 AP培养基 AP大 MD5SUM 196k 0.91 0.98 0.96 0.41 0.76 0.95 393e6700095a673065fcecf5e8f264f7 演示版 在上面的基准测试
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3D对象追踪 项目描述 该项目的目的是使用来自KITTI Vision Benchmark Suite的摄像机和激光雷达数据序列来估计自动驾驶汽车的碰撞时间。 对于相机图像,我们使用深度学习(YOLO)检测对象,并根据关键点检测,描述和匹配的输入跟踪这些对象。 我们使用YOLO边界框作为参考,将摄像机图像中的区域与3D空间中的激光雷达点相关联。 本地运行的依赖项 cmake> = 2.8 所有操作系统: make> = 4.1(Linux,Mac),3.81(Windows) Linux:大多数Linux发行版默认都安装了make Mac: Windows: OpenCV> = 4.1 必须使用-D OPENCV_ENABLE_NONFREE=ON cmake标志从源代码进行编译,以测试SIFT和SURF检测器。 OpenCV 4.1.0源代码可以在找到 gcc / g ++>
2021-08-19 11:51:12 149.47MB C++
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Unity中快速给Object在屏幕上定位
2021-08-18 10:07:52 177KB Unity3d
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Java代码Map转Object对象
2021-08-16 18:03:34 4KB Map Object Map转Object对象 Java
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Java代码Object对象转Map
2021-08-16 18:03:32 2KB Object Map Java Object对象转Map
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41篇目标检测论文,包含综述、One-stage系列、Two-stage系列、YOLO系列、模型压缩与加速系列等论文;
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Object Oriented Programming-An Evolutionary Approach
2021-08-15 11:31:22 3.77MB Objective-C
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Object Design: Roles, Responsibilities, and Collaborations By Rebecca Wirfs-Brock, Alan McKean Publisher : Addison Wesley Pub Date : November 08, 2002 ISBN : 0-201-37943-0 Pages : 416 Noted object technologists Rebecca Wirfs-Brock and Alan McKean present a modern, thoughtful treatment on the design of object software.Introduces Responsibility-Driven Design, the expert authors' proven method to building better software.Practical strategies for increasing software's reliability and flexibility.Helps reader discriminate important design choices from mundane ones, and to acquire a fundamental set of techniques that can be intelligently practicedAfter more than ten years, object technology pioneer Rebecca Wirfs-Brock teams with expert Alan McKean to present a thoroughly updated, modern, and proven method for the design of software. The book is packed with practical design techniques that enable the practitioner to get the job done. Like many human endeavors, design is part art, part engineering, part guesswork, and part experimentation. Discipline, hard work, inspiration, and sound technique all play their part as well. For any given problem, there are many reasonable, but only a few very good solutions. The authors' goal is to help readers learn to make those very good design decisions on their own. The book explores challenges that software developers will face as they build their design, and shows how design patterns can be used to solve design problems. Long awaited and eagerly anticipated, this book represents the first great software design book of the century. A FUTURE CLASSIC!Rebecca Wirfs-Brock is the founder of Wirfs-Brock Associates where she consults with clients on development practices and methods. Formerly, she was Chief Methodologist and Director of the Object Development Center of Excellence at Parc-Place Digitalk. She was the lead author of Designing Object-Oreinted
2021-08-13 16:09:46 3.79MB OO
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