The file typically refers to the PC-based distribution of VisoMaster (version 1.6), a computer vision application often used for real-time video analysis, object detection, or motion tracking.
conda install -c nvidia/label/cuda-12.4.1 cuda-runtime (for GPU acceleration). conda install -c conda-forge cudnn .
: 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 .
: Use conda create -n visomaster python=3.10.13 -y and activate it. Core Dependencies : Install the required runtime libraries:
: Optimized for PC hardware using CUDA for high-frame-rate analysis.
: If you encounter a "No rule to make target" error, ensure you are running commands from the root directory where the makefile or setup.py is located.