Fast Image Retrieval
latest
Get Started
Installation
Dataset Preparation
Prepare datasets
Tutorials
Train a model
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)
Datasets
Misc
Changelog
Run on Arm (aarch64)
Fast Image Retrieval
Welcome to Fast Image Retrieval’s documentation!
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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
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