SpaceNet_Off_Nadir_Solutions | Winning algorithms for the SpaceNet

by SpaceNetChallenge Python Version: Current License: Apache-2.0

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

kandi X-RAY | SpaceNet_Off_Nadir_Solutions Summary

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

The five subdirectories in this repository comprise the code for the winning solutions of SpaceNet 4: Off-Nadir Building Detection hosted by TopCoder. Each subdirectory contains the competitors' written descriptions of their solution to the challenge. See the blog post on CosmiQ Works' blog The DownlinQ for an additional summary.

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Quality

Security

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Support

SpaceNet_Off_Nadir_Solutions has a low active ecosystem.

It has 148 star(s) with 30 fork(s). There are 12 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 2 have been closed. On average issues are closed in 5 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SpaceNet_Off_Nadir_Solutions is current.

Quality

SpaceNet_Off_Nadir_Solutions has 0 bugs and 0 code smells.

Security

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

SpaceNet_Off_Nadir_Solutions code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

SpaceNet_Off_Nadir_Solutions 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

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

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

SpaceNet_Off_Nadir_Solutions saves you 9545 person hours of effort in developing the same functionality from scratch.

It has 19480 lines of code, 997 functions and 138 files.

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

Top functions reviewed by kandi - BETA

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

Construct an InceptionV3
Batch normalization layer
Connects the model
Builds fpn mask graph
Generate anchors for the given image shape
Compute backbone shapes
Wrapper for InceptionResNet v2
Resnet block
Train model
Displays the configuration
Process training images
Draws boxes
Infer nadir angles
Train the model
Process an image
Call the image pyramid
Builds a PSP model
Evaluate a Spacenet
Constructs a LinkNet model
Draw random ROIs
Runs inference on given images
Detect mold images
Wrapper for RPNRNN
Run the keras graph
Train a single epoch
Parse image id

Get all kandi verified functions for this library.

SpaceNet_Off_Nadir_Solutions Key Features

No Key Features are available at this moment for SpaceNet_Off_Nadir_Solutions.

SpaceNet_Off_Nadir_Solutions Examples and Code Snippets

No Code Snippets are available at this moment for SpaceNet_Off_Nadir_Solutions.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install SpaceNet_Off_Nadir_Solutions

You can download it from GitHub.
You can use SpaceNet_Off_Nadir_Solutions 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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