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semantic-segmentation
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Can I know what is the size of the Kinetics 400 dataset used to reproduce the result in this repo?
There are many links in Kinetics that have expired. As as result, everyone might not be using the same Kinetics dataset. As a reference, the statistics of the Kinetics dataset used in PySlowFast can be found here, https://github.com/facebookresearch/video-nonlocal-net/blob/master/DATASET.md. However, I cannot seem to find similar information for gluoncv. Will you guys be sharing the statistics and
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Add a way to change the sample id output in the annotation process to a specific number (see picture).
Reason: I want to annotate large text and the app don't like it when the documents to annotate are too large, so I spitted in a sentence the document but I would like to be able to
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Hi! I've noticed the doc references postgres for setting up data storage (https://labelstud.io/guide/storedata.html). However, I was wondering whether it's possible to switch to other databases such as MySQL for the same task. If so, more or less how'd the process be? I'm trying to set up label-studio and the environment I'm using only allows MySQL DBs.
Thanks!