MaaXYZ/MaaFramework

Features

• Visual Element Identification - Identifies and interacts with on-screen visual elements by searching for specific images and patterns using GPU acceleration.
• GPU-Accelerated Vision Pipelines - Processes on-screen visual elements using a GPU-accelerated vision pipeline to speed up interaction and identification cycles.
• Hardware Acceleration - Optimizes automation performance by offloading compute-intensive tasks to a GPU for faster execution.
• Real-Time Image Processing - Utilizes hardware acceleration to provide real-time image processing and recognition, reducing total execution time.
• Image Recognition Automation Tools - Identifies and interacts with visual screen elements using hardware-accelerated image analysis.
• GPU-Accelerated Automation Frameworks - A platform for automating tasks using GPU hardware to accelerate image recognition and pixel-level processing.
• GPU-Accelerated Image Analysis - Offloads pixel analysis and pattern recognition to graphics hardware to reduce latency during visual automation.
• Hardware Abstraction Layers - Implements a hardware abstraction layer to maintain consistent image processing performance across different GPU and CPU configurations.
• Automation Asset Discovery - Allows searching a community directory of contributed examples and tools to accelerate the development process.
• Automation Asset Registries - Indexes user-contributed configurations and assets in a central directory to standardize automation patterns.
• Automation Configuration Discovery - Enables finding community-contributed resources and configuration examples to reduce the time spent building custom scripts.
• Automation Resource Directories - Provides a searchable directory of user-contributed assets and configurations to standardize common automation patterns.

Star history