Expand description
Quantum Computer Vision Pipelines
This module implements quantum-enhanced computer vision algorithms for image processing, object detection, segmentation, and feature extraction using quantum circuits and quantum machine learning techniques.
Structs§
- Augmentation
Config - Data augmentation configuration
- Computational
Metrics - Computational metrics
- Convolutional
Config - Convolutional layer configuration
- Image
Preprocessor - Image preprocessor
- Normalization
Params - Normalization parameters
- Preprocessing
Config - Preprocessing configuration
- Quantum
ConvolutionalNN - Quantum convolutional neural network wrapper
- Quantum
Feature Extractor - Quantum feature extractor
- Quantum
Image Encoder - Quantum image encoder
- Quantum
Metrics - Quantum-specific metrics
- Quantum
Spatial Attention - Quantum spatial attention
- Quantum
Vision Config - Quantum computer vision pipeline configuration
- Quantum
Vision Pipeline - Main quantum computer vision pipeline
- Residual
Block - Residual block configuration
- Training
History - Training history
- Vision
Metrics - Vision performance metrics
Enums§
- Color
Space - Color space options
- Image
Encoding Method - Image encoding methods for quantum circuits
- Quantum
Enhancement - Quantum enhancement levels
- Task
Output - Task output variants
- Task
Target - Task target types
- Vision
Backbone - Vision backbone architectures
- Vision
Task Config - Vision task configurations
Traits§
- Task
Head - Trait for task-specific heads
- Vision
Model - Trait for vision models