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Running
A newer version of the Streamlit SDK is available:
1.45.1
Active Context: HOCR Processing Tool - Initial Setup
1. Current Focus
- Initial Project Setup: Establishing the core Memory Bank documentation structure for the HOCR project as per Cline's requirements.
- Creating the foundational markdown files (
projectbrief.md
,productContext.md
,activeContext.md
,systemPatterns.md
,techContext.md
,progress.md
).
2. Recent Changes
- Created
memory-bank
directory within thehocr
project folder. - Created
projectbrief.md
with initial project goals and scope. - Created
productContext.md
outlining the problem space, vision, and user goals. - Created this
activeContext.md
file.
3. Next Steps
- Create
systemPatterns.md
to document the high-level architecture and design patterns (based on initial analysis of existing code). - Create
techContext.md
to detail the technologies, libraries, and setup requirements. - Create
progress.md
to establish the baseline for tracking project status. - Once the initial Memory Bank is set up, await further instructions or tasks from the user regarding the HOCR project itself.
4. Active Decisions & Considerations
- Following Cline's standard Memory Bank structure.
- Populating initial files with baseline information derived from the project's file structure and general OCR principles. These will need refinement as the project is explored further.
5. Important Patterns & Preferences
- (To be filled in as patterns are identified in the codebase or specified by the user)
6. Learnings & Insights
- The HOCR project appears to be a substantial Python application with distinct modules for different OCR stages (preprocessing, segmentation, OCR processing, etc.) and includes a UI component.
- Initial setup requires creating the standard Memory Bank files.
(This file tracks the immediate state and short-term plans. It should be updated frequently.)