yoloe
10.9K
44
license:agpl-3.0
by
jameslahm
Image Model
OTHER
Fair
11K downloads
Community-tested
Edge AI:
Mobile
Laptop
Server
Unknown
Mobile
Laptop
Server
Quick Summary
AI model with specialized capabilities.
Code Examples
Installationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPInstallationbash
conda create -n yoloe python=3.10 -y
conda activate yoloe
pip install -r requirements.txt
pip install -e .
pip install -e lvis-api
pip install -e ml-mobileclip
pip install -e CLIPDemobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Demobash
# Optional for mirror: export HF_ENDPOINT=https://hf-mirror.com
pip install gradio==4.42.0 gradio_image_prompter==0.1.0 fastapi==0.112.2
python app.py
# Please visit http://127.0.0.1:7860Please visit http://127.0.0.1:7860bash
python predict.pyPlease visit http://127.0.0.1:7860bash
python predict.pyPlease visit http://127.0.0.1:7860bash
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python predict.pyPlease visit http://127.0.0.1:7860bash
python predict.pyPlease visit http://127.0.0.1:7860bash
python predict.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyGenerate segmentation databash
# Generate segmentation data
conda create -n sam2 python==3.10.16
conda activate sam2
pip install -r sam2/requirements.txt
pip install -e sam2/
python tools/generate_sam_masks.py --img-path ../datasets/Objects365v1/images/train --json-path ../datasets/Objects365v1/annotations/objects365_train.json --batch
python tools/generate_sam_masks.py --img-path ../datasets/flickr/full_images/ --json-path ../datasets/flickr/annotations/final_flickr_separateGT_train.json
python tools/generate_sam_masks.py --img-path ../datasets/mixed_grounding/gqa/images --json-path ../datasets/mixed_grounding/annotations/final_mixed_train_no_coco.json
# Generate objects365v1 labels
python tools/generate_objects365v1.pyDeploy This Model
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