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英伟达开源「Imaginaire」:九大图像及视频合成方法,你学fei了吗?

风流意气都作罢 提交于 2021-02-12 05:39:39
点击上方“ 迈微AI研习社 ”,选择“ 星标★ ”公众号 重磅干货,第一时间送达 图像 / 视频合成领域的集大成者,就在这一篇了。 图像和视频等视觉数据的生成是机器学习和计算机视觉领域重要的研究问题之一。近几年,英伟达提出了 SPADE、MUNIT 等多个图像及视频合成模型。 近日,英伟达又开源了一个新的 PyTorch 库「Imaginaire」,共包含 9 种英伟达开发的图像及视频合成方法。 项目地址: https://github.com/NVlabs/imaginaire 这九种方法分别为: 有监督的图像到图像转换 1、pix2pixHD 2、SPADE/GauGAN 无监督的图像到图像转换 1、UNIT 2、MUNIT 3、FUNIT 4、COCO-FUNIT 视频到视频转换 1、vid2vid 2、fs-vid2vid 3、wc-vid2vid pix2pixHD 「pix2pixHD」是 pix2pix 的升级版本,具备高分辨率图像和语义处理功能,主要解决了深度图像合成编辑中的质量及分辨率问题。 项目主页:https://tcwang0509.github.io/pix2pixHD/ 论文链接:https://arxiv.org/pdf/1711.11585.pdf 在这篇论文中,来自英伟达和 UC 伯克利的研究者提出了一种使用条件 GAN

英伟达开源「Imaginaire」:九大图像及视频合成方法,你学fei了吗?

允我心安 提交于 2020-11-13 03:29:10
  机器之心报道    作者:蛋酱、小舟    图像 / 视频合成领域的集大成者,就在这一篇了。   图像和视频等视觉数据的生成是机器学习和计算机视觉领域重要的研究问题之一。近几年,英伟达提出了 SPADE、MUNIT 等多个图像及视频合成模型。   近日,英伟达又开源了一个新的 PyTorch 库「Imaginaire」,共包含 9 种英伟达开发的图像及视频合成方法。      项目地址:https://github.com/NVlabs/imaginaire   这九种方法分别为:   有监督的图像到图像转换   1、pix2pixHD   2、SPADE/GauGAN   无监督的图像到图像转换   1、UNIT   2、MUNIT   3、FUNIT   4、COCO-FUNIT   视频到视频转换   1、vid2vid   2、fs-vid2vid   3、wc-vid2vid    pix2pixHD   「pix2pixHD」是 pix2pix 的升级版本,具备高分辨率图像和语义处理功能,主要解决了深度图像合成编辑中的质量及分辨率问题。      项目主页:https://tcwang0509.github.io/pix2pixHD/      论文链接:https://arxiv.org/pdf/1711.11585.pdf   在这篇论文中,来自英伟达和 UC

How to mock a Java component within Mule Flow using MUnit

試著忘記壹切 提交于 2019-12-31 03:59:11
问题 I am trying to Unit test one of my sub-flows using MUnit, I need to mock out a custom Java component but I am unable to do so. My sub-flow reads as below <sub-flow name="ProcessCSVFlow" tracking:enable-default-events="true"> <transformer ref="enrichWithHeaderAndEndOfFileTransformer" doc:name="headerAndEOFEnricher" /> <set-variable variableName="outputfilename" value="#['Mercury'+server.dateTime.year+server.dateTime.month+server.dateTime.dayOfMonth+server.dateTime.hours +server.dateTime

Setting payload to http.query.params.variable_name during an MUnit test

ⅰ亾dé卋堺 提交于 2019-12-12 00:08:48
问题 I am trying to set up an MUnit test to confirm that the set payload method is setting the payload to the right value. I am sending in a JSON file via a HTTP endpoint. When running the flow normally setting the payload to: #[message.inboundproperties.'http.query.params'.json] works fine however when I run my test the assert equals fails. I am setting the message with http.query.params=ParameterMap{[json=[[ { "protocol":"http", "host":"0.0.0.0", "port":"8085", "path":"", "operation":"GET" }, {

Mavenized Mule project but Munit test run is failing

◇◆丶佛笑我妖孽 提交于 2019-12-11 01:45:53
问题 I have an existing Mule project (which has MUnit's also) and now we are trying to mavenize this project. I have used Anypoint studio only to mavenize and project building is success and I am able to get target/test-classes and target/classes folder but when I am trying to run Munit test (tried to run specific test case also) that time it is failing with below error. [WARNING] Ignored XML validation warning org.xml.sax.SAXParseException; lineNumber: 49; columnNumber: 73; schema_reference.4:

Set Inbound Properties for MUnit Flow Reference in Mulesoft for APIKit

ぃ、小莉子 提交于 2019-12-11 00:08:10
问题 I'm trying to test APIKit in MUnit. Originally I was using an http request within MUnit to call my flow and then APIKit would route the request to the proper subflow where my logic lives. Now I want to mock one of the elements of the subflow, so I'm trying to replace the http request with a reference to the APIKit flow. This works, but the APIKit router throws an error: Cannot resolve request base path Because none of the inbound properties are set. And this is my problem, how do I mimic the