Welcome to Fast Image Retrieval’s documentation!

Get Started

• Installation

Dataset Preparation

• Prepare datasets
  • CIFAR10
  • ImageNet100
  • NUS-WIDE
  • MS-COCO
  • MIRFlickr-25000
  • Stanford Online Product
  • References

Tutorials

• Train a model
  • Use the config file
• Test a Model
• Inference trained model
• Custom dataset
• Custom data pipeline/ training method
• Custom backbone network
• Custom hashing architecture
• Custom loss
• W&B logging

Implemented

• Backbone
• Loss (Method)
  • Supervised
  • Unsupervised
  • Shallow (Non-Deep learning methods)
• Datasets

Misc

• Changelog
  • 0.1.2
  • 0.1.1
  • 0.1.0
• Run on Arm (aarch64)
  • Create conda environment and install pytorch
  • Requirement to build fairs
  • Build faiss for aarch64
  • Install dependencies
  • Done

Indices and tables

• Index

• Module Index

• Search Page