API Reference

This section provides detailed API documentation for all DeepLib components.

• Models
  • Segmentation Models
• Trainers
  • BaseTrainer
  • SegmentationTrainer
  • Segmentation Trainer
  • Base Trainer
• Datasets
  • BaseDataset
  • DetectionDataset
  • SegmentationDataset
  • AnomalyDataset
  • COCODataset
  • Segmentation Dataset
  • Base Dataset
• Loggers
  • BaseLogger
  • MLFlowLogger
  • TensorBoardLogger
  • WandbLogger
  • TensorBoard Logger
  • MLflow Logger
  • Weights & Biases Logger
  • Base Logger

Core Components

Models

The models module contains implementations of various deep learning architectures.

• Models

Trainers

The trainers module provides training utilities and implementations.

• Trainers

Datasets

The datasets module contains dataset implementations and utilities.

• Datasets

Loggers

The loggers module provides experiment tracking capabilities.

• Loggers