: User-friendly control panels for adjusting detection thresholds or visual filters.
If you are using the standalone PC build (the .zip format), follow these specific operational steps: Vis-1.6-pc.zip
: Use conda create -n visomaster python=3.10.13 -y and activate it. Core Dependencies : Install the required runtime libraries: VisoMaster - GitHub : Avoid installing in folders
: If duplicate classes appear (common in Java/Android wrappers), use specific versioning for lifecycle dependencies. VisoMaster - GitHub Features and Use Cases Version 1
: 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.
: Launch the main application entry point (typically main.py or a provided .bat file for Windows users). 🖥️ 3. Features and Use Cases Version 1.6 of this tool often includes:
conda install -c nvidia/label/cuda-12.4.1 cuda-runtime (for GPU acceleration). conda install -c conda-forge cudnn .