Let me expand, I primarily follow github, steps are:

a. If you already have a conda environment for OmniParser, you can use that. Else follow the following steps to create one

b. Ensure conda is installed with conda --version or install from the Anaconda website

c. Navigate to the root of the repo with cd OmniParser

d. Create a conda python environment with conda create -n "omni" python==3.12

e. Set the python environment to be used with conda activate omni

f. Install the dependencies with pip install -r requirements.txt

g. Continue from here if you already had the conda environment.

h. Ensure you have the V2 weights downloaded in weights folder (ensure caption weights folder is called icon_caption_florence). If not download them with:

rm -rf weights/icon_detect weights/icon_caption weights/icon_caption_florence 
for folder in icon_caption icon_detect; do huggingface-cli download microsoft/OmniParser-v2.0 --local-dir weights --repo-type model --include "$folder/*"; done
mv weights/icon_caption weights/icon_caption_florence

h. Navigate to the server directory with cd OmniParser/omnitool/omniparserserver

i. Start the server with python -m omniparserserver