yolov3mobile | Mobile YOLOv3 object detector

by cavalleria Python Version: Current License: GPL-3.0

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

kandi X-RAY | yolov3mobile Summary

yolov3mobile is a Python library. yolov3mobile has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

This project originated from the excellent ultralytics/yolov3 repository and aims to implement light mobile object detector.

Support

Quality

Security

License

Reuse

Support

yolov3mobile has a low active ecosystem.

It has 9 star(s) with 1 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 1 have been closed. On average issues are closed in 110 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of yolov3mobile is current.

Quality

yolov3mobile has no bugs reported.

Security

yolov3mobile has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

yolov3mobile is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

yolov3mobile 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.

Top functions reviewed by kandi - BETA

kandi has reviewed yolov3mobile and discovered the below as its top functions. This is intended to give you an instant insight into yolov3mobile implemented functionality, and help decide if they suit your requirements.

Train model
Try to download weights
Load weights from the weights file
Download a file from Google Drive
Calculate ROU curve
Retrieve the face boxes from the given directory
Reads the prediction boxes in a directory
Calculate the PR curve for each face
Detect darknet
Load a pretrained pretrained model
Apply classification to images
Forward computation
Create x y grid
Converts weights to weights
Save the weights of a PyTorch model
Convert images to bmp format
Create folder
Convert the input image set to a directory
Generate kmeans anchors
Print evolution results
Plot the evolution results
Plot test
Reduces the image size of a given image
Check file exists
Copy a list of images into a folder

Get all kandi verified functions for this library.

yolov3mobile Key Features

No Key Features are available at this moment for yolov3mobile.

yolov3mobile Examples and Code Snippets

No Code Snippets are available at this moment for yolov3mobile.

Community Discussions

No Community Discussions are available at this moment for yolov3mobile.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install yolov3mobile

You can download it from GitHub.
You can use yolov3mobile 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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