ObjectFlow | Implemenation of the paper : Video Segmentation | Machine Learning library

by wasidennis C++ Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | ObjectFlow Summary

ObjectFlow is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. ObjectFlow has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This is the authors' MATLAB implementation described in the above paper. Please cite our paper if you use our code and model for your research. This code has been tested on Ubuntu 14.04 and MATLAB 2013b.

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ObjectFlow has a low active ecosystem.

It has 65 star(s) with 29 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 3 have been closed. On average issues are closed in 368 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ObjectFlow is current.

Quality

ObjectFlow has no bugs reported.

Security

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

License

ObjectFlow 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

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

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

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ObjectFlow Key Features

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ObjectFlow Examples and Code Snippets

No Code Snippets are available at this moment for ObjectFlow.

Community Discussions

Trending Discussions on ObjectFlow

RxAndroid repeated ui manipulation task error

Repeat Single based on onSuccess() value

RxJava RetryWhen, This processor allows only a single Subscriber

repeatWhen() does not complete

QUESTION

RxAndroid repeated ui manipulation task error

Asked 2019-Apr-29 at 19:49

I have the following code to enable immersive mode. It is a repeated task which is executed every 1 second:

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ANSWER

Answered 2019-Apr-29 at 19:49

This line:

Source https://stackoverflow.com/questions/55909167

QUESTION

Repeat Single based on onSuccess() value

Asked 2019-Apr-06 at 08:33

I want to repeat a Single based on the single value emitted in onSuccess(). Here is a working example

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ANSWER

Answered 2018-Aug-02 at 08:04

i saw a small discrepancy in the latest docs and your code, so i did a little digging...

(side note - i think the semantics of retryWhen seem like the more appropriate operator for your case, so i've substituted it in for your usage of repeatWhen. but i think the root of your problem remains the same in either case).

the signature for retryWhen is:

Source https://stackoverflow.com/questions/51642332

QUESTION

RxJava RetryWhen, This processor allows only a single Subscriber

Asked 2018-Mar-24 at 23:08

I am learning how to do data polling in RxJava2

Here is my code so far.

...

ANSWER

Answered 2018-Mar-24 at 23:08

You are resubscribing to the error flow in your retryWhen which is not allowed and doesn't make sense in your situation. You should delay a value in flatMap instead:

Source https://stackoverflow.com/questions/49465555

QUESTION

repeatWhen() does not complete

Asked 2017-Oct-19 at 08:23

I'm running into a problem with getting repeatWhen() to work with a Completable. The below code block is working. The subscribed Action ends up running after the repeats.

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ANSWER

Answered 2017-Oct-19 at 08:22

The initial subscriber would receive onCompleted() event if you change flatMap() to takeUntil() within your MyRetry class:

Source https://stackoverflow.com/questions/46821848

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

Vulnerabilities

No vulnerabilities reported

Install ObjectFlow

Download and unzip the code. Install the attached caffe branch, as instructed at http://caffe.berkeleyvision.org/installation.html. Download the CNN model for feature extraction here, then unzip the model folder under the caffe-cedn-dev/examples folder. Install included libraries in the External folder if needed (pre-compiled codes are already included).
Download and unzip the code.
Install the attached caffe branch, as instructed at http://caffe.berkeleyvision.org/installation.html.
Download the CNN model for feature extraction here, then unzip the model folder under the caffe-cedn-dev/examples folder.
Install included libraries in the External folder if needed (pre-compiled codes are already included).

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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