image-classification

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!

My actions before raising this issue

• Read/searched the docs
• Searched past issues

Description

[Chrome debugger](https://github.com/Microsoft/vscode

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

When running TabularPredictor.fit(), I encounter a BrokenPipeError for some reason.
What is causing this?
Could it be due to OOM error?

Fitting model: XGBoost ...
-34.1179 = Validation root_mean_squared_error score
10.58s = Training runtime
0.03s = Validation runtime
Fitting model: NeuralNetMXNet ...
-34.2849 = Validation root_mean_squared_error score
43.63s =

with video_demo.py about 20% speed compared to your 1.0 repo. but thanks much for sharing!