similarity
image-match
| similarity | image-match | |
|---|---|---|
| 7 | 5 | |
| 996 | 2,911 | |
| 0.2% | 0.0% | |
| 6.5 | 0.0 | |
| about 1 month ago | over 1 year ago | |
| Python | Python | |
| Apache License 2.0 | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
similarity
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New free tool that uses fine-tuned BERT model to surface answers from research papers
Tensorflow Ranking and Tensorflow similarity (maybe relevant/irrelevant contrastive learning?) look like they could be useful.
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Non-Machine Learning Image Matching with a Vector DB
There is the metric learning problem to learn a hash for similarity https://github.com/tensorflow/similarity
That said, I don't see many good models available for download on tfhub or huggingface optimized for it, but you can always programmatically modify your images (if you truly mean identical to humans) - change white balance, crop, rotate, select adjacent frames from videos, etc. and optimize a network that is small enough for you to be satisfied and see if that works, as a possible alternative.
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Face Detection for 520 People
Metric learning has great implementations inside Tensorflow Similarity library: https://github.com/tensorflow/similarity Although the documentation is quite bad, but the jupyter notebooks are great.
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[P] TensorFlow Similarity 0.16 is out
Just a quick note that TensorFlow Similarity 0.16 is out -- this release beside adding the XMB loss is mostly focus on refactoring and optimizing the core components to ensure everything works smoothly and accurately. Details are in the changelog as usual and a simple pip install -U tensorflow_similarity should just work.
- Self-supervised learning added to TensorFlow Similarity
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[P] TensorFlow Similarity now self-supervised training
Very happy to announce that as part of the 0.15 release, TensorFlow Similarity now support self-supervised learning using STOA algorithms. To help you get started we included in the release a detailed getting started notebook that you can run in Colab. This notebook shows you how to use SimSiam self-supervised pre-training to almost double the accuracy compared to a model trained from scratch on CIFAR 10.
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TensorFlow Introduces âTensorFlow Similarityâ, An Easy And Fast Python Package To Train Similarity Models Using TensorFlow
Github: https://github.com/tensorflow/similarity
image-match
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Find visual similar photos
Not a full solution but imagematch is a widely adopted algorithm for this purpose. Thereâs even a very nice dockerized version
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Non-Machine Learning Image Matching with a Vector DB
I also developed a service based on the Goldberg paper in the mid 2010s. We flattened and discretized the signature to make it searchable which gave us pretty good results: https://github.com/ProvenanceLabs/image-match
Sorry I havenât maintained the project in years so itâs unlikely to work out of the box. But who knows, maybe youâll find something useful here for your project!
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Here is a demonstration of the new features for the tool I'm working on
There are libraries available online like this one that will compare between images and return the closest match.
- Quickly Search over Billions of Images
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How to find photo duplicates (not hash duplicates) and clean them?
https://github.com/ProvenanceLabs/image-match
What are some alternatives?
pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
match - :crystal_ball: Scalable reverse image search built on Kubernetes and Elasticsearch
pgANN - Fast Approximate Nearest Neighbor (ANN) searches with a PostgreSQL database.
GARI - GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.
quaterion - Blazing fast framework for fine-tuning similarity learning models
poe-archnemesis-scanner - Tool for Path of Exile game to automatically scan Archemesis inventory and display related information
ContraD - Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)
jina - âď¸ Build multimodal AI applications with cloud-native stack
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
whoogle-search - A self-hosted, ad-free, privacy-respecting metasearch engine
sparse_dot_topn - Python package to accelerate the sparse matrix multiplication and top-n similarity selection
undouble - Python package undouble is to detect (near-)identical images.