TianChi_JinNan2 | 天池竞赛-津南数字制造算法挑战赛【赛场二】解决方案分享

by monkeyDemon Python Version: Current License: No License

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

kandi X-RAY | TianChi_JinNan2 Summary

TianChi_JinNan2 is a Python library. TianChi_JinNan2 has no bugs, it has no vulnerabilities and it has low support. However TianChi_JinNan2 build file is not available. You can download it from GitHub.

天池竞赛-津南数字制造算法挑战赛【赛场二】解决方案分享

Support

Quality

Security

License

Reuse

Support

TianChi_JinNan2 has a low active ecosystem.

It has 14 star(s) with 3 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 482 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of TianChi_JinNan2 is current.

Quality

TianChi_JinNan2 has 0 bugs and 0 code smells.

Security

TianChi_JinNan2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

TianChi_JinNan2 code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

TianChi_JinNan2 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

TianChi_JinNan2 releases are not available. You will need to build from source code and install.

TianChi_JinNan2 has no build file. You will be need to create the build yourself to build the component from source.

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

TianChi_JinNan2 saves you 7609 person hours of effort in developing the same functionality from scratch.

It has 15697 lines of code, 710 functions and 119 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed TianChi_JinNan2 and discovered the below as its top functions. This is intended to give you an instant insight into TianChi_JinNan2 implemented functionality, and help decide if they suit your requirements.

Visualize a single image
Return a colormap
Convert boxes to boxes
Get class string
Add RPNR outputs to model
Generate proposals for a set of anchors
Generate anchors
Add retinanet outputs to model
Wrapper for Convolution
Add mask to image
Process a binary image in parallel
Forward computation
Bottleneck bottleneck transformation
Calculate the retinanet loss
Add key points to the model
Randomize an image
Add RPN blobs to FPN
Convert a list of city scatters
Add retinananet blobs
Convert a caffe network
Add RfcN
Check that the expected results are in the expected set
Random merge operation
Compute the decision function based on cnn_confidence
Parse command line arguments
R Evaluate the exposure of a box

Get all kandi verified functions for this library.

TianChi_JinNan2 Key Features

No Key Features are available at this moment for TianChi_JinNan2.

TianChi_JinNan2 Examples and Code Snippets

No Code Snippets are available at this moment for TianChi_JinNan2.

Community Discussions

No Community Discussions are available at this moment for TianChi_JinNan2.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install TianChi_JinNan2

You can download it from GitHub.
You can use TianChi_JinNan2 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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