Hi all, this is a very cool feature which would help me a lot in my work. Let me know where I can support you!
Best Marco Am 11.09.20, 09:16 schrieb "Philipp Zehnder" <[email protected]>: Hi all, I needed the label editor to label some time-series data. Therefore I have used the current version and it works, but so far it is only a prototype and you have to press many buttons to label data. I started to refactor the component in [1], with the goal to harmonize the label function with the components of the image labeling. Here is the link to the issue [2]. Philipp [1] https://github.com/apache/incubator-streampipes/tree/STREAMPIPES-234 [2] https://issues.apache.org/jira/projects/STREAMPIPES/issues/STREAMPIPES-234?filter=allopenissues On 2020/04/02 06:11:44, Philipp Zehnder <[email protected]> wrote: > Hi Daniel,> > > thanks, your pull request looks very good and I directly merged it.> > When I saw it correctly the labels are currently set in the UI and not persisted to the database, right?> > > So I think the next step would be to implement the backend to update the labels in the database.> > > The endpoint for the data lake is defined in the class DataLakeResourceV3 [1]. Here we would need a new POST endpoint with the parameters: startDate, endDate, and label to update the database values.> > My suggestion would be not to reload the data directly after a new label is added, instead update the UI and the backend to ensure a better user experience.> > > Regarding the naming for the label column in the database. > > We could add a new column to each data stream called ’sp_internal_label’ containing a String value for each datapoint with the label.> > Alternatively we could add a new table to a database (e.g. couchdb) with just the label information and then merge the information before it is sent to the browser.> > This would ease the insertion of new labels, but make requesting the data more complex.> > > I would prefer to add a label to each data point. This solution makes the creation of labels a bit more challenging, but should have a better performance on querying the data.> > > How do you think about that?> > > Kind regards,> > Philipp> > > > [1] https://github.com/apache/incubator-streampipes/blob/9e5cafd11f530d5212f973da7b532b0dd102c22d/streampipes-rest/src/main/java/org/apache/streampipes/rest/impl/datalake/DataLakeResourceV3.java <https://github.com/apache/incubator-streampipes/blob/9e5cafd11f530d5212f973da7b532b0dd102c22d/streampipes-rest/src/main/java/org/apache/streampipes/rest/impl/datalake/DataLakeResourceV3.java>> > > On 2020/04/01 21:33:48, Daniel Ebi <[email protected]> wrote: > > > Hi there,> > > > > > > I have extended the time series data labeling tool in such a way that the labeling mode now remains activated after clicking the 'Labeling'-button - until it gets deactivated by clicking the button again or by switching to the plotly-specific 'Pan' or 'Zoom' mode. The activation of the labeling mode is highlighted by color adjustment of the 'Labeling'-button icon.> > > > > > > > > > > > > Just now I've already created a pull request on Github (pull request #13).> > > > > > > > > > > > > Daniel> > > > > > > > > > > > > -----Ursprüngliche Nachricht-----> > > > > > > Von: Philipp Zehnder <[email protected]> > > > > > > > Gesendet: Dienstag, 31. März 2020 17:54> > > > > > > An: [email protected]> > > > > > > Betreff: Re: AW: Time Series Data Labeling Tool> > > > > > > > > > > > > Hi Daniel,> > > > > > > > > > > > > the time labeling tool looks very cool. I checked it out and it directly worked.> > > > > > > > > > > > > One question. Currently I have to click on the button (‘label’, on the top right corner) for each label I want to select. > > > > > > > Can we change that behavior. I would expect that a user is entering the labeling mode, once the button is clicked and exits it again when the button is clicked again.> > > > > > > > > > > > > Philipp> > > > > > > > > > > > > On 2020/03/27 13:31:20, Daniel Ebi <[email protected]> wrote: > > > > > > > > Hi there,> > > > > > > > > > > > > > > > > I just wanted to let you know that I created the pull request for the time series labeling tool today (pull request #12).> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > During the last days, I have been working on the main components for the mentioned time series labeling tool and I already implemented a working version.> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Cheers,> > > > > > > > > > > > > > > > > Daniel> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > -----Ursprüngliche Nachricht-----> > > > > > > > > > > > > > > > > Von: Daniel Ebi > > > > > > > > > > > > > > > > > Gesendet: Dienstag, 24. März 2020 17:35> > > > > > > > > > > > > > > > > An: '[email protected]' <[email protected]>> > > > > > > > > > > > > > > > > Betreff: AW: New Contributer | Time Series Data Labeling Tool> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Hi Philipp, hi Johannes,> > > > > > > > > > > > > > > > > thanks for your short guidance and the warm welcome. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > @Philipp: It all worked out well.> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > @Johannes: I will look into it and check which components I can reused.> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Cheers,> > > > > > > > > > > > > > > > > Daniel> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > ________________> > > > > > > > > > > > > > > > > On 2020/03/24 16:43:33, Johannes Tex wrote:> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Hi Daniel,> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > welcome :)> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > As you mentioned, I have started to develop an image labeling tool. > > > > > > > > > > > > > > > > > I think some of the components can be resused, for example the "image-labels" component [1].> > > > > > > > > > > > > > > > > It is a component for selecting labels received from the backend (at the moment it is only mocked). You also can use the num-pad change labels, it's for the power users ;) You can have a view and we can discuss it if you have comments or questions.> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Johannes> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > [1] https://github.com/apache/incubator-streampipes/tree/b2e92c667d77e7b7e724112463bb25141881ffd6/ui/src/app/core-ui/image/components/image-labels> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > ________________> > > > > > > > > > > > > > > > > On 2020/03/24 16:17:16, Philipp Zehnder wrote:> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Hi Daniel,> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > a warm welcome to the mailing list!> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > You can start developing on the UI using the cli tool in our installer [1]. (Currently in the dev branch) I’d suggest you use the lite version (‘sp set-template lite') and run a local StreamPipes instance on your computer (‘sp set-template lite').> > > > > > > > > > > > > > > > > The code for the UI is in [2] in the ui folder. Check out the repository and navigate to the folder.> > > > > > > > > > > > > > > > > Then run ’npm install’ and ’npm start’. (This might take a while) Afterwards you can navigate to ‘localhost:8082’ in your browser and you can start developing.> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Cheers,> > > > > > > > > > > > > > > > > Philipp> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > [1] https://github.com/apache/incubator-streampipes-installer <https://github.com/apache/incubator-streampipes-installer>> > > > > > > > > > > > > > > > > [2] https://github.com/apache/incubator-streampipes <https://github.com/apache/incubator-streampipes>> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > _______________________> > > > > > > > > > > > > > > > > On 2020/03/24 10:54:12, Daniel Ebi <[email protected]> wrote: > > > > > > > > > > > > > > > > > > Hey there,> > > > > > > > > > > > > > > > > > my name is Daniel and I would like to contribute to Apache StreamPipes project. Therefore I recently joined this dev mailing list.> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > About me> > > > > > > > > > > > > > > > > > I study Information Engineering and Management in the Master's program - with focus on Machine Learning and Artificial Intelligence - at Karlsruhe Institute of Technologie (KIT). Additionally, I work as a student assistant at the FZI in Karlsruhe in order to gain some practical experience in research. There I got in contact with StreamPipes and became interested in the project. In the course of my studies I already gathered much experience in the Machine Learning and Data Science domain.> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > What are my current ideas for Apache StreamPipes?> > > > > > > > > > > > > > > > > > Specifically, I would like to develop a labeling feature for Apache StreamPipes that allows users to label time series data easily and intuitively (like the image labeling tool of Johannes [1]). My idea is to extend the line chart of the data explorer in such a way that one or more labels can be added by simply marking the data points of interest. The visualization of the data is thereby used as a basis for the labeling, and the labelled data can be afterwards illustrated with colored overlays, too. The long-term goal is to ensure that the data labelled in this way can be used as a starting point for machine learning procedures.> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > I will be very happy to hear about your suggestions about my plans. Thanks in advance.> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Best regards,> > > > > > > > > > > > > > > > > > Daniel Ebi> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > ________________________________> > > > > > > > > > > > > > > > > > [1] > > > > > > > > > > > > > > > > > > https://issues.apache.org/jira/projects/STREAMPIPES/issues/STREAMPIPES> > > > > > > > > > > > > > > > > > -78?filter=allopenissues> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > >
