cocoapp | Flask webapp for coconut tree detector

by daveluo Python Version: Current License: MIT

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

kandi X-RAY | cocoapp Summary

cocoapp is a Python library. cocoapp has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Flask webapp for coconut tree detector, live demo at

Support

Quality

Security

License

Reuse

Support

cocoapp has a low active ecosystem.

It has 23 star(s) with 8 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 664 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cocoapp is current.

Quality

cocoapp has 0 bugs and 0 code smells.

Security

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

cocoapp code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

cocoapp 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

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

Build file is available. You can build the component from source.

cocoapp saves you 366 person hours of effort in developing the same functionality from scratch.

It has 874 lines of code, 63 functions and 10 files.

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

Top functions reviewed by kandi - BETA

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

Runs prediction on the model
Compute the nms of the given boxes
Generate Transforms
Compute prediction for an image
Opens an image
Calculate NMS predictions
Load the model
Convert pred to dict
Convert a tensor into a numpy array
Convert an activation from an actn
Preprocess an image
Transform coordinates
Make square matrix
Map a point to a bounding box
Generate anchors
Compute the cross entropy of the pred

Get all kandi verified functions for this library.

cocoapp Key Features

No Key Features are available at this moment for cocoapp.

cocoapp Examples and Code Snippets

No Code Snippets are available at this moment for cocoapp.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install cocoapp

You can download it from GitHub.
You can use cocoapp 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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