roi_align | RoI Align with Chainer | Machine Learning library

by katotetsuro Python Version: Current License: Apache-2.0

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

kandi X-RAY | roi_align Summary

roi_align is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. roi_align has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However roi_align build file is not available. You can download it from GitHub.

RoI Align with Chainer

Support

Quality

Security

License

Reuse

Support

roi_align has a low active ecosystem.

It has 6 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 1004 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of roi_align is current.

Quality

roi_align has no bugs reported.

Security

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

License

roi_align is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

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

roi_align has no build file. You will be need to create the build yourself to build the component from source.

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roi_align Key Features

No Key Features are available at this moment for roi_align.

roi_align Examples and Code Snippets

No Code Snippets are available at this moment for roi_align.

Community Discussions

Trending Discussions on roi_align

PyTorch Object Detection with GPU on Ubuntu 18.04 - RuntimeError: CUDA out of memory. Tried to allocate xx.xx MiB

QUESTION

PyTorch Object Detection with GPU on Ubuntu 18.04 - RuntimeError: CUDA out of memory. Tried to allocate xx.xx MiB

Asked 2019-Dec-26 at 20:35

I'm attempting to get this PyTorch person detection example:

https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html

running locally with a GPU, either in a Jupyter Notebook or a regular python file. I get the error in the title either way.

I'm using Ubuntu 18.04. Here is a summary of the steps I've performed:

1) Stock Ubuntu 18.04 install on a Lenovo ThinkPad X1 Extreme Gen 2 with a GTX 1650 GPU.

2) Perform a standard CUDA 10.0 / cuDNN 7.4 install. I'd rather not restate all the steps as this post is going to be more than long enough already. This is a standard procedure, pretty much any link found via googling is what I followed.

3) Install torch and torchvision

...

ANSWER

Answered 2019-Dec-26 at 20:35

Very strange, after changing both the training and testing batch size to 1, it now does not crash with a GPU error. Very strange since I'm certain I tried this before.

Perhaps it had something to do with changing the batch size to 1 for both training and testing, and then rebooting or somehow refreshing something else? I'm not really sure. Very odd.

Now the evaluate function call is crashing with the error:

Source https://stackoverflow.com/questions/59473949

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

Vulnerabilities

No vulnerabilities reported

Install roi_align

You can download it from GitHub.
You can use roi_align like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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