Hi Marco, I am happy to hear that. I created a branch [1] that contains the current “prototypical” implementation. I tried to increase the usability. Users can now use key shortcuts to select the label, like in the image label editor.
Everything should work, but is still a bit buggy. If you want you can try it out, I would be happy to get some feedback. Philipp [1] https://github.com/apache/incubator-streampipes/tree/STREAMPIPES-234 > On 11. Sep 2020, at 10:17, Marco Heyden <[email protected]> wrote: > > 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> > > >>>> >>>>>> >>>> >>>>>>>> >>>> >>>>>> >>>> >>>>>>>> >>>> >>>>>> >>>> >>>>>> >>>> >>>> >> >> >> > >
