vott | tool provides end to end support | Computer Vision library

by jiankaiwang JavaScript Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | vott Summary

vott is a JavaScript library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Pytorch, Tensorflow, Keras applications. vott has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This tool provides end to end support for generating datasets and validating object detection models from video and image assets. The generated output data would be further the input into the CNTK.

Support

Quality

Security

License

Reuse

Support

vott has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

vott has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of vott is current.

Quality

vott has no bugs reported.

Security

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

License

vott 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

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

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

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vott Key Features

No Key Features are available at this moment for vott.

vott Examples and Code Snippets

No Code Snippets are available at this moment for vott.

Community Discussions

Trending Discussions on vott

Image annotation tool that support annotation using existing CNN

Using Android-NDK in Android Studio Build command fail

QUESTION

Image annotation tool that support annotation using existing CNN

Asked 2020-Dec-06 at 02:36

I have trained a YoloV4 CNN. It's pretty good already. I want more images as training data but there is no point of manually annotate most of the stuff because CNN can do it for me. I could review and re-correct if there are any issues. Is there a image annotation tool/service that can do that? I'm currently using Supervisely. I also tried CVAT and VoTT Couldn't find such feature.

...

ANSWER

Answered 2020-Dec-06 at 02:36

I created a simple python project to generate supervisely project using darknet. It's available on github.

https://github.com/s1n7ax/partially-annotate

Source https://stackoverflow.com/questions/65111878

QUESTION

Using Android-NDK in Android Studio Build command fail

Asked 2018-Jul-27 at 04:00

I am trying to add this project as Android-NDK to Android studio but I keep getting errors : https://github.com/timsu/android-aac-enc

I followed this guide to install NDK and everything related. Then I added the jni folder to the app\src\main\jni and added this line to build.gradle.

...

ANSWER

Answered 2018-Jul-27 at 04:00

NDK cannot be installed in a path that has spaces. Same for projects that use NDK.

In your case, the best fix would be to move all Android SDK to a directory C:\AndroidSdk.

Source https://stackoverflow.com/questions/51546938

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

Vulnerabilities

No vulnerabilities reported

Install vott

You can download it from GitHub.

Support

In the latest release we provide support for Export and Review formats. To add a new object detection format, copy the interface folder and use the Yolo and CNTK implementations as reference.

Find more information at: