Solution: Use OmniParser to realize high-precision interface parsing
Traditional tools usually face the problem of missed and misdetected elements, mainly due to 1) the inability to understand the page structure using traditional OCR techniques 2) the lack of fine-grained component recognition capability 3) the difficulty in handling dynamic interface elements.
OmniParser's solution includes the following key steps:
- Structured parsing engine:Pixel-level element detection via v2.0-specific weight files (icon_detect and icon_caption)
- Dual detection mechanism:Identify macro-interface blocks before performing micro-icon level analysis
- Deep Learning Support:Integrating Florence Visual Models for Context Awareness
Suggestions: 1) Make sure to use the latest weight files 2) Adjust the detection threshold when dealing with complex interfaces 3) Combine with multi-model ensemble to improve stability. Measurement shows that its icon detection accuracy can reach 92.3%, which is more than 40% higher than traditional tools.
This answer comes from the articleOmniParser: user interface screenshots parsed into structured elements for easy understanding and manipulation by large modelsThe
