I'm using this project to train my segmentation model. I find that the mask has a right-down offset to the image. Because the opencv resize_nearest is wrong. Please refer the opencv project issue:
https://github.com/opencv/opencv/issues/9096
https://github.com/opencv/opencv/issues/10146

The code of opencv is:
` for( x = 0; x < dsize.width; x++ )
{
int sx = cv

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

Proposal

Now we are using default [drf-yasg](https://github.com/a

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 =

🚀 Feature Request

The evaluate_loader method for Python API. Similar to .train and .predict_loader

Motivation

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