tmfs | Apple 's Time Machine fuse read only file system

by abique C++ Version: r7 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | tmfs Summary

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

Time Machine File System is a read-only virtual filesystem which helps you to read your Apple’s time machine backup. This filesystem does not targets performances, it has been written for a friend who has lost his macbook and wants to recover its data on Linux. It’s actually not perfect, feel free to report bugs or suggestions at [

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Support

tmfs has a low active ecosystem.

It has 228 star(s) with 24 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 18 have been closed. On average issues are closed in 700 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tmfs is r7

Quality

tmfs has no bugs reported.

Security

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

License

tmfs is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Installation instructions, examples and code snippets are available.

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tmfs Key Features

No Key Features are available at this moment for tmfs.

tmfs Examples and Code Snippets

No Code Snippets are available at this moment for tmfs.

Community Discussions

Trending Discussions on tmfs

Improving openCV VideoWriter with tmpfs

QUESTION

Improving openCV VideoWriter with tmpfs

Asked 2017-Mar-16 at 20:58

I'm currently trying to improve python/openCV performances using tmpfs, as i'm stuck around 5-10 FPS while trying to record a USB camera on a raspberry Pi 3, at 640x480.

On my system, i get these raw write transfer rates, using dd command: SD Card : 2.5Mo/s tmpfs : 380 Mo/s

Sadly, when writing my opencv video file on a tmpfs folder, i didn't get any improvement. Here is my benchmark code :

...

ANSWER

Answered 2017-Mar-16 at 20:58

If writing to memory directly does not improve speed, then it is likely not the bottleneck. Your CPU usage is probably at 100% while encoding.

As the ultimate test, you can try saving to /dev/null. According to dd that has a throughput of about 5GB/s on my laptop. Though to do that you will need to make a symlink to /home/pi/null.avi as openCV wants a file that ends with .avi.

I tested your script on my laptop on SSD, HDD, tmpfs, and /dev/null and they all gave roughly the same result (using 2500 instead of 250 iterations).

Source https://stackoverflow.com/questions/42836794

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

Vulnerabilities

No vulnerabilities reported

Install tmfs

Manually, run these commands:. Then if the installation looks ok to you in install-test/ do make install as root with 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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