mvtools | mvtools plugin for avisynth

by pinterf C++ Version: 2.7.45 License: No License

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kandi X-RAY | mvtools Summary

mvtools is a C++ library. mvtools has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Motion estimation and compensation plugin for Avisynth+ and Avisynth v2.6 family. Supporting YUY2, 4:2:0, 4:2:2, 4:4:4 at native 8, 10, 12, 14 and 16 bit depths, 32bit float in selected filters. Still supporting Windows XP. x86 and x64 versions From December 20, 2020: Linux port. For more information see also documents folder. Others For asm compilation use nasm Visual Studio integration: (Pre-2018: For asm compilation use yasm (1.2): ,vsyasm.* files should be renamed to yasm.). Source code: under mvtools-pfmod branch.

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mvtools has a low active ecosystem.

It has 131 star(s) with 15 fork(s). There are 14 watchers for this library.

It had no major release in the last 12 months.

There are 13 open issues and 39 have been closed. On average issues are closed in 99 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of mvtools is 2.7.45

Quality

mvtools has no bugs reported.

Security

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

License

mvtools does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

mvtools releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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mvtools Key Features

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mvtools Examples and Code Snippets

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Community Discussions

Trending Discussions on mvtools

Tensorflow error. Failed to get convolution algorithm. This is probably because cuDNN failed to initialize

QUESTION

Tensorflow error. Failed to get convolution algorithm. This is probably because cuDNN failed to initialize

Asked 2019-Oct-03 at 11:24

I have previously installed Tensorflow on several machines but am stuck installing it on my new laptop with RTX 2060. No matter what combination of versions I try, I get the same error. I found similar issues online and it seems like the problem is the version conflict of cudnn and tensorflow.

Here's my installation and the error.

Currently, I have Cuda v10.0.130 and cudnn-10.0-windows10-x64-v7.6.0.64 to match the installation of tensorflow, like in the image. tf__version__ = 1.13.1. Python version is 3.6. THe cudnn libraries are copied in Cuda installation folder. I also tried with Tensorflow 1.14 and python 3.7 and am getting the same results.

I'm installing tensorflow with Anaconda conda install tensorflow-gpu

...

ANSWER

Answered 2019-Sep-30 at 19:34

Since the compatibility issue is the most probable option as we discussed in the comment sections, I found the tested versions of tensorflow with respect to the CUDA and cuDNN versions. You can find it in here.

Please feel free to update the status of your problem after you setup your environment according to the given link.

I hope it would be resolved.

EDIT: In case you're in Windows, I'd like to update a new link

Source https://stackoverflow.com/questions/58169030

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

Vulnerabilities

No vulnerabilities reported

Install mvtools

Useful hints: build after clean:.
Clone repo git clone https://github.com/pinterf/mvtools cd mvtools cmake -B build -S . cmake --build build Useful hints: build after clean: cmake --build build --clean-first delete cmake cache rm build/CMakeCache.txt
Find binaries at build/mvtools/libmvtools2.so build/depan/libdepan.so build/depanestimate/libdepanestimate.so
Install binaries cd build sudo make install

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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