defect-detection | OpenCV API | Computer Vision library

by szywind C++ Version: Current License: No License

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

kandi X-RAY | defect-detection Summary

defect-detection is a C++ library typically used in Artificial Intelligence, Computer Vision, OpenCV, Numpy applications. defect-detection has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

detect the defects with OpenCV API (equalizeHist, GaussianBlur, threshold, findContours) after trying Canny and HoughLines.

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Support

defect-detection has a low active ecosystem.

It has 8 star(s) with 10 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of defect-detection is current.

Quality

defect-detection has no bugs reported.

Security

defect-detection has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

defect-detection 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

defect-detection releases are not available. You will need to build from source code and install.

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defect-detection Key Features

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defect-detection Examples and Code Snippets

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Community Discussions

Trending Discussions on defect-detection

OOM when allocating tensor with shape[1,48,48,1024] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc

QUESTION

OOM when allocating tensor with shape[1,48,48,1024] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc

Asked 2020-Aug-17 at 14:18

I'm trying to reproduce the training of the Mask RCNN in the following repository:https://github.com/maxkferg/metal-defect-detection

Code snippet for the train is the following:

...

ANSWER

Answered 2020-Aug-17 at 14:14

It's most probably a RAM issue. You can try reducing your batch size to 1 or simplify your network. If either of those methods works, get something with bigger RAM.

Source https://stackoverflow.com/questions/63452525

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

Vulnerabilities

No vulnerabilities reported

Install defect-detection

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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