flownet2 | FlowNet 2.0 : Evolution of Optical Flow Estimation | Machine Learning library

by lmb-freiburg C++ Version: Current License: Non-SPDX

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kandi X-RAY | flownet2 Summary

flownet2 is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. flownet2 has no bugs, it has no vulnerabilities and it has medium support. However flownet2 has a Non-SPDX License. You can download it from GitHub.

This is the release of: - the CVPR 2017 version of FlowNet2.0. It comes as a fork of the caffe master branch and with trained networks, as well as examples to use and train them.

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flownet2 has a medium active ecosystem.

It has 953 star(s) with 316 fork(s). There are 52 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 211 have been closed. On average issues are closed in 17 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of flownet2 is current.

Quality

flownet2 has no bugs reported.

Security

flownet2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

flownet2 has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

flownet2 releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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flownet2 Key Features

No Key Features are available at this moment for flownet2.

flownet2 Examples and Code Snippets

No Code Snippets are available at this moment for flownet2.

Community Discussions

Trending Discussions on flownet2

Pytorch model weight type conversion

QUESTION

Pytorch model weight type conversion

Asked 2018-Mar-16 at 06:00

I'm trying to do inference on FlowNet2-C model loading from file. However, I met some data type problem. How can I resolve it?

$ python main.py

...

ANSWER

Answered 2018-Mar-16 at 06:00

Maybe that is because your model and input x to the model has different data types. It seems that the model parameters have been moved to GPU, but your input x is on GPU.

You can try to use model.cuda() after line 94, which will put the model on the GPU. Then the error should disappear.

Source https://stackoverflow.com/questions/49313974

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install flownet2

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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