Labeling images for semantic segmentation using Label Studio

The code snippet for this video can be downloaded from:
https://github.com/bnsreenu/python_for_microscopists/blob/master/Tips_tricks_27_labeling_images_for_sem_segm_using_label_studio.py

For other code available on my GitHub:
https://github.com/bnsreenu/python_for_microscopists

For labeling your images using Label Studio:
https://labelstud.io/

Let us work in Anaconda command prompt. (You can use other command prompts)
Check environments:
conda env list

Create a new environment to install Label Studio:
conda create --name give_some_name pip
(Need to specify pip as a dependency, otherwise it will not be available)

(To specify python version for your env..)
conda create -n give_some_name python=3.7

Now activate the env.
conda activate give_some_name

# Install the Label Studio package
pip install -U label-studio

# Launch it!
label-studio

Open your browser and go to the URL displayed on your screen, typically
http://0.0.0.0:8080/

Видео Labeling images for semantic segmentation using Label Studio канала DigitalSreeni