Optimized solutions for multi-monitor environments
For TankWork to maintain excellent recognition in complex display environments, the following actions can be implemented:
- Configure the identification area:Explicitly define the CAPTURE area in the code, and specify the primary monitor by modifying the COMPUTER_USE_IMPLEMENTATION=tank parameter
- Resolution Adaptation:Ensure that all monitors have the same resolution ratio to avoid image recognition failures due to distortion of the ratio.
- Dynamic area detection:Writing region-specific recognition logic for multi-display environments using OpenCV's template matching feature
- Display ID Management:Get a list of monitors via Windows API (GetMonitorInfo) or macOS (CGGetActiveDisplayList) to establish a monitor identification system
- Log analysis:Analyze possible positioning bias issues during cross-monitor operations using logs recorded by NARRATIVE_LOGGER_NAME=ComputerUse.Tank
For advanced users, the screen capture module can be modified to handle stitched images from multiple monitors, or separate processing threads can be created for each monitor.
This answer comes from the articleTankWork: an intelligent body that operates computers via voice and text and provides real-time voice feedbackThe
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