infer-linux64-v0.17.0.tar.xz

所需积分/C币:2 2020-05-23 251.66MB XZ
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Infer is a static analysis tool for Java, C++, Objective-C, and C. Infer is written in OCaml. Read our Getting Started page for details on how to install packaged versions of Infer. To build Infer from source, see INSTALL.md.

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251.66MB
infer-linux64-v0.17.0.tar.xz

Infer is a static analysis tool for Java, C++, Objective-C, and C. Infer is written in OCaml. Read our Getting Started page for details on how to install packaged versions of Infer. To build Infer from source, see INSTALL.md.

2020-05-23
7KB
开源项目-sjkaliski-infer-lambda-api.zip

开源项目-sjkaliski-infer-lambda-api.zip,Deploy an Image Recognition API Using Go, Terraform, and Lambda

2019-09-03
18KB
开源项目-sjkaliski-infer.zip

开源项目-sjkaliski-infer.zip,infer: package for Image Analysis using TensorFlow and Go

2019-09-03
170.17MB
detectron测试demo需要的权重R-101.pkl

detectron测试demo需要的权重R-101.pkl,独立下载模型的测试代码是 python2 tools/infer_simple.py \ --cfg configs/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml \ --output-dir output/test1 \ --image-ext jpg \ --wts model/MaskRCNN/e2e_mask_rcnn_R-101-FPN_2x_model_final.pkl \ Demo

2020-04-11
26.81MB
静态代码分析工具Infer.zip

Infer 是 Facebook 最新开源的静态程序分析工具,用于在发布移动应用之前对代码进行分析,找出潜在的问题。目前 Facebook 使用该工具来分析 Facebook 的 App,包括 Android 、iOS、Facebook Messenger 和 Instagram 等等。Facebook 称该工具帮助其每个月检查出数百个应用中潜在的 Bug,例如一些空指针访问、资源和内存泄漏等等。支持 Android 的 Java 和 iOS 的 C 和 Objective-C 代码。

2019-07-17
35.65MB
惯有类型推导的幻灯片

此文档作者是王垠,属于王垠版权所有。 我是从https://www.dropbox.com/s/k6fwweq49be4cbh/type-infer-pdf.pdf下载的这个文档。

2014-03-29
4KB
计算 语义分割结果 MIOU,miou.py操作简单,输出结果清晰

# 执行命令: python miou.py --labels=D:/.../labels --pred=D:/../infer # 其中 --labels 为标注图片路径 --pred 为预测出的图片路径 # 最终结果会打印输出,也会在同级目录下,生成一个txt文档,保存各个类别 iou # 操作极为简单

2019-07-02
1.23MB
Knowledge-Embedded Routing Network for Scene Graph Generation.pdf

To understand a scene in depth not only involves locating/recognizing individual objects, but also requires to infer the relationships and interactions among them. However, sincethedistributionofreal-worldrelationshipsisseriously unbalanced, existing methods perform quite poorly forthelessfrequentre

2019-08-09
39.12MB
opencv onnx c++ infer

opencv tensorflow c++ pb infer opencv onnx c++ infer opencv onnx c++ infer

2019-12-03
14.88MB
FCN(science)论文

First release: 26 October 2017 www.sciencemag.org (Page numbers not final at time of first release) 1 The ability to learn and generalize from a few examples is a hallmark of human intelligence (1). CAPTCHAs, images used by websites to block automated interactions, are examples of problems that are

2017-11-02
48.09MB
opencv tensorflow c++ pb infer

opencv tensorflow c++ pb infer opencv tensorflow c++ pb infer opencv tensorflow c++ pb infer

2019-12-03
3.78MB
概率编程Practical.Probabilistic.Programming

概率编程,大牛经典书籍。必看,低分分享Probabilistic programming is an exciting new field that is quickly gathering interest, moving out of the academic arena and into the world of programmers. In essence, probabilistic programming is a new way of creating models for probabilistic reason- ing, which lets you predict or

2018-01-11
661KB
RotatE:Knowledge Graph Embedding by Relational Rotation in Complex Space.pdf

We study the problem of learning representations of entities and relations in knowledgegraphsforpredictingmissinglinks. Thesuccessofsuchataskheavily relies on the ability of modeling and inferring the patterns of (or between) the relations. Inthispaper,wepresentanewapproachforknowledgegraphembedding

2019-08-09
24.06MB
3D Computer Vision : Efficient Methods and Applications

This book provides an introduction to the foundations of three-dimensional computer vision and describes recent contributions to the field. Geometric methods include linear and bundle adjustment based approaches to scene reconstruction and camera calibration, stereo vision, point cloud segmentation,

2012-04-23
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Google C++ Style Guide(Google C++编程规范)高清PDF

Table of Contents Header Files The #define Guard Header File Dependencies Inline Functions The -inl.h Files Function Parameter Ordering Names and Order of Includes Scoping Namespaces Nested Classes Nonmember, Static Member, and Global Functions Local Variables Static and Global Variables Classes

2011-03-08
1.76MB
ICLR2020-Inductive representation learning on temporal graphs

Inductive representation learning on temporal graphs is an important step toward salable machine learning on real-world dynamic networks. The evolving nature of temporal dynamic graphs requires handling new nodes while learning temporal patterns. The node embeddings, which become functions of tim

2020-02-06
3.42MB
Learning.Bayesian.Models.with.R.

Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems About This Book Understand the principles of Bayesian Inference with less mathematical equations Learn state-of-the art Machine Learning methods Familiarize yourself with the recent ad

2015-11-04
8.03MB
ssm(spring+spring mvc+mybatis)+bootstrap开发公安局报警后台管理系统

spring+spring mvc+mybatis+bootstrap+jquery+jsp 包含 分页查询 模糊查询 按时间查询 js验证手机 验证身份证 验证姓名, 看效果的花去最代码 http://www.zuidaima.com/share/3812589089065984.htm http://localhost:8080/demoSSM/index.jsp http://localhost:8080/demoSSM/login.jsp

2018-03-21
650KB
论文研究-TWIT:社交网络中局部信任值的双向计算.pdf

在线社交网络是移动互联网时代最成功的服务之一,好友的可信任程度成为用户首要关注的问题,针对如何避免个人信息被恶意用户窃取和泄露,提出了一种双向的计算局部信任值的算法TWIT(Two-Way algorithm to Infer Trust),从可信任用户与恶意用户两个方向综合推断用户间的信任值,并且考虑到朋友关系的可传递性,进一步结合机器学习中的分类算法提出了改进算法MTWIT,消除了必须存在网络路径这一前提限制,并且在信任值的推断正确率方面取得了一定的优势,同时确保了算法能够适应社交网络拓扑结构动态变化的特点。在新浪微博数据集上的实验结果充分说明了这一结论。

2019-09-12
6.02MB
Make3D: Learning 3D Scene Structure from a Single Still Image

We consider the problem of estimating detailed 3D structure from a single still image of an unstructured environment. Our goal is to create 3D models that are both quantitatively accurate as well as visually pleasing. For each small homogeneous patch in the image, we use a Markov Random Field (MRF)

2018-05-02
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