Changes for page 5. How to segment your objects with Webilastik
Last modified by puchades on 2022/09/30 16:01
From version 21.1
edited by tomazvieira
on 2022/01/25 19:18
on 2022/01/25 19:18
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To version 19.1
edited by tomazvieira
on 2022/01/25 19:03
on 2022/01/25 19:03
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Uploaded new attachment "image-20220125190311-2.png", version {1}
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... ... @@ -79,17 +79,12 @@ 79 79 80 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 81 82 -To do so, select a data source by typing in the URL of the data as they appear beneath the URL field.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 83 84 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 85 86 -[[image:image-20220125190311-2.png]] 87 - 88 88 Finally, click export button and eventually a new job shall be created if all the parameters were filled in correctly. 89 89 90 90 You'll be able to find your results in the data-proxy GUI, in a url that looks something like this: 91 91 92 92 https:~/~/data-proxy.ebrains.eu/your-bucket-name?prefix=your/selected/prefix 93 - 94 -[[image:image-20220125191847-3.png]] 95 -
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