Tool / Optimization: Find best flag values #56
Description
Description
Problem Statement
Many FOUND algorithms accept flags that directly affect the accuracy of their output. We need to systematically determine the optimal values for these flags to maximize performance.
Approach Options
- Sequential Optimization: Find the optimal value for each flag individually while holding others constant
- Advanced Techniques: Use more sophisticated methods such as:
- Gradient descent
- Multi-dimensional optimization
- Grid search
- Bayesian optimization
Required Integration
- Use tools from issues Tool: Blender Image Generator #48, Enhancement: Create separate distance determination and edge detection pipeline #52, Tool: Edge Point Generator #53, Tool: Noise Generator (Image) found-tools#3, Tool: Noise Generator (Edge) #55, and Tool: Orchestrate FOUND testing #58
- Integrate with issue Tool: Orchestrate FOUND testing #58 for quick performance statistics
- Statistics should be generated with a set of flags to evaluate performance
Dependencies
- Depends on: Issue Enhancement: Refactor tools #57 (must be completed first)
Open Questions
- Which optimization approach is most suitable for this problem?
- How should we handle interactions between flags?
- What is the best metric for evaluating flag combinations?
Note: Still seeking ideas on the best approach to this optimization problem.