Keras Image Embeddings using Contrastive Loss

Last update: Mar 21, 2022

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Overview

Keras-Image-Embeddings-using-Contrastive-Loss

Image to Embedding projection in multi-dimentional vector space. Implementation in keras and tensorflow for custom data. Batch all triplet loss for one-shot/few-shot learning. Triplet is generated for One-shot learning using augmentation between anchor and positive.

Requirements:

tensorflow = 2.4.1, tensorflow-gpu = 2.4.1, Keras = 2.2.4, imgaug = 0.4.0, numpy >= 1.19.5, pandas >= 1.1.3, opencv-contrib-python >= 4.5.1.48, opencv-python >= 4.4.0.44

Owner

Shravan Anand K

Mechatronics | AI/ML/DL | Computer Vision | Robotics Enthusiast

GitHub Repository

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