Last modified by puchades on 2022/09/30 16:01
From version 15.3
edited by tomazvieira
on 2022/01/25 17:23
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To version 18.1
edited by tomazvieira
on 2022/01/25 18:57
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9 9  
10 10  === Opening a sample Dataset ===
11 11  
12 -Go to [[app.ilastik.org/>>app.ilastik.org/]] and load a [[Neuroglancer Precomputed Chunks dataset>>https://github.com/google/neuroglancer/tree/master/src/neuroglancer/datasource/precomputed]]. You can e.g. use a sample data set that is already in the server by pasting the following URL into Neuroglancer's prompt:
12 +Go to [[app.ilastik.org>>app.ilastik.org/]] and load a [[Neuroglancer Precomputed Chunks dataset>>https://github.com/google/neuroglancer/tree/master/src/neuroglancer/datasource/precomputed]]. You can e.g. use a sample data set that is already in the server by pasting the following URL into Neuroglancer's prompt:
13 13  
14 14  precomputed:~/~/https:~/~/app.ilastik.org/public/images/c_cells_2.precomputed
15 15  
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74 74  [[image:image-20220125172238-8.png]]
75 75  
76 76  You can keep adding or removing features to your model, as well as adding and removing annotations, which will automatically update the predictions tab.
77 +
78 +=== Exporting Results and Running Jobs ===
79 +
80 +Once you trained your pixel classifier with the previous applets, you can apply it to other datasets or even the same dataset that was used to do the training on.
81 +
82 +To do so, select a data source by typing in the URL of the datasource in the Data Source Url field and select a scale from the data source.
83 +
84 +Then, configure a Data Sink, i.e., a destination that will receive the results of the pixel classification. For now, webilastik will only export to ebrains' data-proxy buckets; Fill in the name of the bucket and then the prefix (i.e.: path within the bucket) where the results in Neuroglancer's precomputed chunks format should be written to.
85 +
86 +Finally, click export button and eventually a new job shall be created if all the parameters were filled in correctly.
87 +
88 +You'll be able to find your results in the data-proxy GUI, in a url that looks something like this:
89 +
90 +https:~/~/data-proxy.ebrains.eu/your-bucket-name?prefix=your/selected/prefix
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