fewshotlib 0.1.1

A flexible few-shot classifier toolkit.

Few-Shot Classifier Library

A lightweight Python library for image classification using few-shot learning. Given a small number of support images per class, this library classifies query images based on visual similarity using learnable embeddings.

Features

• No training required — works directly with pretrained backbones
• Supports multiple popular models: ResNet, MobileNet, EfficientNet, DenseNet, and more
• Accepts individual images or batches for prediction
• Automatically detects image type: handles RGB and Grayscale images as required by the model
• Returns class indices or original labels (if provided)
• Easy integration with PyTorch pipelines

Installation

Install directly from PyPI:

pip install fewshotlib

Or, if not yet published, install locally from source:

git clone https://github.com/RohitXJ/few-shot-lib.git
cd fewshotlib
pip install .

How to Use

from fewshotlib import FewShotClassifier
from PIL import Image

# Load a model checkpoint (must be generated using our model creation utility)

model_path = 'model.pt'
classifier = FewShotClassifier(model_path)

# Predict from a single image file

result = classifier.predict('test_image.png')
print(result)

# Predict from a batch of image files

results = classifier.predict(['img1.png', 'img2.png'])
print(results)

# Predict and return the original class label (if available)

result = classifier.predict('test_image.png')
print(result['label'])  \# outputs the original label, if present

Notes

• If your model.pt file contains labels from the prototype creation step, you will receive the corresponding original label for each prediction.
• The library automatically handles input images in RGB or Grayscale formats and applies the necessary preprocessing for the chosen backbone model.
• Supports file paths to images (recommended). For power users, you may load a PIL image and pass it directly, but file path input is default.

Generate model.pt

To create a compatible model.pt file for this library, use our companion tool (coming soon):

https://github.com/RohitXJ/few-shot-web

This tool lets you select a few images per class and generates a .pt file storing class prototypes and labels.

License

This project is licensed under a Custom Research and Educational Use License.

You are permitted to use, copy, modify, and distribute this software only for research and educational purposes. Commercial use is strictly prohibited without prior written permission from the author.

See the LICENSE file for full terms.

For commercial inquiries, contact: [e-mail]