: Run pip install -r requirements_cu124.txt and conda install scikit-image . 🛠️ 2. Deployment Steps
: Before running, you must often download the pre-trained weights. Use the included script: python download_models.py . Vis-1.6-pc.zip
: Avoid installing in folders with spaces in their names (e.g., C:\Program Files\ ), as this can break environment scripts like .ps1 or .bat files. : Run pip install -r requirements_cu124
: Use conda create -n visomaster python=3.10.13 -y and activate it. Core Dependencies : Install the required runtime libraries: C:\Program Files\ )
: If duplicate classes appear (common in Java/Android wrappers), use specific versioning for lifecycle dependencies. VisoMaster - GitHub