Add comprehensive recommendations section based on LogoDet-3K testing:
- Optimal parameter settings table (multi-ref, max aggregation, CLIP model)
- Performance benchmarks for refs-per-logo (1-10 refs)
- Matching method comparison (simple vs margin vs multi-ref)
- Embedding model comparison (CLIP vs DINOv2)
- Preprocessing mode comparison (default vs letterbox vs stretch)
- Add -e/--embedding-model parameter to Key Parameters table
- Add --clear-cache parameter
- Document all 3 test scripts with output file table
- Update project structure with new scripts and analysis doc
- Expand Models section with embedding model options table
- Add note about clearing cache when switching models
- Add test_results_analysis.md for documenting test findings
- Add detailed instructions for LogoDet-3K dataset placement
- Document all test script parameters including new options:
- simple matching method
- --output-file for clean results output
- --use-max-similarity, --positive-samples, --negative-samples
- Add section on running comparison tests with shell script
- Update project structure to include run_comparison_tests.sh
Add DETR+CLIP based logo detection library and test framework:
- DetectLogosDETR class for logo detection and matching
- Test script with margin-based and multi-ref matching methods
- Data preparation script for test database
- Documentation for API usage and test methodology
