- Stream Diffusion RS: A comprehensive toolkit for diffusion models, EEG analysis, multisensorial processing, and real-time neurofeedback systems
- Advanced Multimodal AI Toolkit: Integrating diffusion models with EEG analysis, multisensorial processing, and real-time neurofeedback systems
- Fractal Shader Renderer: Real-time fractal visualization with WebGL shaders
- Mandelbrot, Julia, and Burning Ship fractal types
- Customizable parameters (iterations, zoom, offset, rotation, colors)
- Animation support with time-based effects
- Preset configurations for different creative styles
- Web API endpoints for shader generation and presets
- Enhanced Audiovisual Features: Basic NUWE audio and visual features integration
- Simplified fractal shader renderer for creative applications
- WebGL-based real-time fractal rendering
- Integration with existing multimodal fusion interface
- Cross-Modal Fusion: Text, image, audio, and biometric data integration
- Multisensorial Processing: EEG, tactile, thermal, and physiological signal analysis
- Real-time Neurofeedback: Sub-10ms latency optimization for neurofeedback systems
This document tracks the fixes applied to resolve compilation errors in the stream-diffusion-rust project.
- Problem:
nrows()andncols()methods were deprecated/removed - Solution: Replaced with
rows()andgencolumns()respectively - Files affected:
training.rs,diffusion.rs,eeg.rs,ml.rs
- Problem:
BitMapBackend::new()method removed,LineSeriesnot imported - Solution:
- Changed all
BitMapBackend::new()toSVGBackend::new() - Added
use plotters::prelude::*;to importLineSeries - Fixed coordinate type mismatches (i32 vs f32)
- Changed all
- Files affected:
visualization.rs,eeg.rs
- Problem: Array view vs owned array conflicts, dimension mismatches
- Solution:
- Fixed array slicing and ownership issues
- Corrected dimension handling in training loops
- Fixed gradient computation type issues
- Files affected:
training.rs,ml.rs
- Problem: Handler function signature incompatible with axum 0.7
- Solution: Simplified model info response to avoid complex types
- Files affected:
web.rs
- Problem: ndarray arrays don't implement Serialize/Deserialize
- Solution: Removed serde derives from structs containing arrays
- Files affected:
eeg.rs
- Changed
data.nrows()todata.dim().0 - Changed
data.rows()todata.dim().0 - Fixed gradient computation:
*grad + &(weight_decay * param) - Fixed array assignment:
new_features.row_mut(new_idx).assign(&self.features.row(old_idx)) - Fixed bias gradient computation to handle CowRepr
- Replaced
BitMapBackend::new()withSVGBackend::new() - Added
use plotters::prelude::*;for LineSeries - Fixed coordinate casting:
(j as i32, i as i32) - Fixed range construction:
*epochs_f32.last().unwrap_or(&1.0) - Fixed colorbar drawing with proper backend types
- Changed
weight.nrows()toweight.rows() - Changed
x.ncols()tox.gencolumns() - Fixed loop bounds:
x.rows()returns Lanes, needx.dim().0
- Changed
self.data.nrows()toself.data.rows() - Changed
self.data.ncols()toself.data.gencolumns() - Fixed array slicing dimensions
- Replaced BitMapBackend with SVGBackend
- Fixed plotters coordinate issues
- Removed serde derives from EEGFeatures
- Fixed batch stacking dimension mismatches
- Fixed type inference issues with binary operations
- Simplified ModelInfo to use HashMap<String, Vec> for shapes
- Fixed handler signature issues
- Some ndarray dimension handling still needs refinement
- Plotters colorbar implementation may need further adjustment
- Performance optimizations can be added later
- Run
cargo checkto verify compilation - Run
cargo build --releasefor optimized build - Test examples with
cargo run --example <name>
- ndarray: 0.15.x (API changes)
- plotters: 0.3.x (API changes)
- axum: 0.7.x (handler changes)
- All changes maintain backward compatibility where possible
- Focus was on compilation success over optimization
- Some warnings remain for unused imports/variables