• OS: Ubuntu 20.04
• PyQt version: pyqt5==5.10.1

It would be nice to mention the dependency on libxml2-dev libxslt1-dev in the docs when building from source on Ubuntu.

Some options only work with HTTPS. Document this in the list of options.

A more consistent and multi-functional global level of verbosity control,
suggest an enhancement that will see print(...) in project be converted to using the python logging. module

import logging
#Then instead of print() use either
logging.info(......)
#or
logging.debug(.....)
#or
logging.warning(....)
#or
#logging.error()

In that way verbosity can be globally

New Feature

Autoware launcher documentation and example to follow through needs updating.

Related to #1950 and #2056

The following need clarification/correction:

• Profile: purpose of this launch file, how to put a custom one together, etc. The current one just says dummy inside.
• Add information in the second terminal that pops up, at the moment it is completely dark.

I trained > 100k, the loss looks fine, the bounding box looks too much, but the mask looks very wrong. Is it the visualization bug or we need more training?

Describe the bug
Project settings -> tags, are not saved unless user hits 'Enter' after typing new tag.

To Reproduce
Steps to reproduce the behavior:

1. In project settings, add new tag.
2. Click 'Save Project'.
3. Exit project settings pane and return.
4. New tag is not saved.

Expected behavior
Tag should be saved when clicking 'Save Project'.

Screenshots
If a

Description
In some rare cases, for example, when you need to finetune a large model on a small dataset the majoring part of training loop is waiting for saving model checkpoints to a hard drive.

Proposal
Would be logically to add a CheckpointCallback with parameter save_n_best=0 to a configuration and do not store best checkpoints and instead use the latest state of the model.

I am Android engineer,just follow tutorial "https://docs.opencv.org/3.4.0/d0/d6c/tutorial_dnn_android.html" linked there to find "MobileNetSSD_deploy.caffemodel" file but there is another one ; when i use the file "MobileNet_deploy.caffemodel"
the output is not work as expected

when i follow the recommended consul-upgrade steps, i have the following doubt:

At the beginning, i have 3 consul server(A/B/C) with one in bootstrap mode(A).

when i run 'consul leave' command in the server with bootstrap-mode(A), the remaining 2 servers will elect new leader(B). no error here.
when i restart A with bootstrap mode, there comes the error.
should i remove the bootstrap opti

We have a lot of repetitive instances in our data and it a simple Copy/Cut - Paste (Ctrl+C/X and Ctrl+V) function for bounding boxes would help speed up labelling by a lot!

Edit: Also multi-selection of multiple boxes/geometries would be great for a faster workflow

hi, @Cartucho thanks for you contribution, it do help me a lot with understanding the criteria metric of PASCOL VOC 2012!

I have a similar question to #93 but not exact same. As you provided curve in the readme file:

Considering the first prediction entry is false positive, thus: