Giter Club home page Giter Club logo

Comments (9)

liuyuan-pal avatar liuyuan-pal commented on June 18, 2024

Hi,

def direct_rendering(self, prj_dict, que_dir, colors_nr=None):

this function means we directly render images using the probabilities, which are stated in the supplementary material of NeuRay. The quality for this direct rendering is much lower than IBRNet.

from neuray.

SYSUykLin avatar SYSUykLin commented on June 18, 2024

Thanks for your reply.

I met another question. When I set the "num_worker" of the Dataloader > 2, the error "DataLoader worker (pid 64987) is killed by signal: Killed." is occured. Have you encountered this problem before?

I run the NeuRay model on OmniObject3D dataset

from neuray.

liuyuan-pal avatar liuyuan-pal commented on June 18, 2024

Hi, I wrote the training framework by myself at that time and the implementation was somehow very naive which does not support multiple workers for the dataloader. Maybe, you need to switch to a framework like pytorch_lightining. Sorry for the inconvenience.

self.train_set=DataLoader(self.train_set,1,True,num_workers=self.cfg['worker_num'],collate_fn=dummy_collate_fn)

from neuray.

SYSUykLin avatar SYSUykLin commented on June 18, 2024

谢谢您的回答,我犯了一个**错误。

另外我想请问一下,大哥你们之前不是有一个omniObject3D的比赛嘛,现在比赛已经结束,你们会把test dataset的GT公布吗?我想用你们比赛用的test dataset进行测试。谢谢谢谢

from neuray.

liuyuan-pal avatar liuyuan-pal commented on June 18, 2024

噢噢,这个是NTU ziwei老师那边举办的,不是我这边举办的,我不太清楚这个testset是否会放出来鸭

from neuray.

SYSUykLin avatar SYSUykLin commented on June 18, 2024

谢谢回答,非常感谢

from neuray.

SYSUykLin avatar SYSUykLin commented on June 18, 2024

hello,我还想再请教一个问题,NeuRay一开始是需要用depth map或者cost volume初始化对吧,那您用cost volume初始化的时候有没有使用depth loss呢?因为我这边没有使用depth loss,然后出现了梯度爆炸的问题,谢谢

from neuray.

liuyuan-pal avatar liuyuan-pal commented on June 18, 2024

hi,这里在训练的时候是有用depth loss的。不过梯度爆炸可能不一定是depth loss的问题,你可能可以尝试一下不同的lr。

from neuray.

SYSUykLin avatar SYSUykLin commented on June 18, 2024

谢谢您的回复,我看了一下感觉是这个IBRNet输出rgb的问题,我在IBRNet输出这块加了sigmoid。还有大佬我想问一下,为何要加depth loss呢?是不加depth loss就train不了吗?我感觉这么大的数据量应该是足够训练的吧?

from neuray.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.