pytorch-metric-learning
fast-reid
| pytorch-metric-learning | fast-reid | |
|---|---|---|
| 3 | 3 | |
| 5,800 | 3,281 | |
| - | 0.9% | |
| 7.9 | 1.2 | |
| about 2 months ago | 5 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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pytorch-metric-learning
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Similarity Learning lacks a framework. So we built one
Not a full featured framework, but pytorch-metric-learning has data loaders, lossess, etc. to facilitate similarity learning: https://github.com/KevinMusgrave/pytorch-metric-learning
Disclaimer: I've made some contributions to it.
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[R][D] VAE Embedding Space - Can we force it to learn a metric?
You can use the triplet loss together with the Gaussian prior. It will be zero centered though and the clusters are not as separated when you use the triplet loss only.There are many alternative to the triplet loss, in case it needs to be a metric: https://github.com/KevinMusgrave/pytorch-metric-learning
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[D] Similar Image Retrieval
This repo provides the tools and examples needed to build such a model: https://github.com/KevinMusgrave/pytorch-metric-learning
fast-reid
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DeepSort with PyTorch(support yolo series)
fast-reid
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Assign ID and track moving object with optical flow
On failure, you can try using a re-identification methods like FastReid: https://github.com/JDAI-CV/fast-reid in combination with your detector. A good pipeline that combines everything you seem to need is here: https://github.com/GeekAlexis/FastMOT. It uses a combination of Yolov4 (detector) + Kalman filters, Optical flow (tracker) and FastReid (re-identification)
- Safari translation won't work when lang="en" attribute is set!
What are some alternatives?
dino - PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
lightly - A python library for self-supervised learning on images.
l2rpn-baselines - L2RPN Baselines a repository to host baselines for l2rpn competitions.
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
DOLG-pytorch - Unofficial PyTorch Implementation of "DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features"
byol-pytorch - Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
apex-configs-by-deafps - Apex config & tweaks
autogluon - Fast and Accurate ML in 3 Lines of Code
Hekate-Toolbox - A toolbox for Hekate
simsiam-cifar10 - Code to train the SimSiam model on cifar10 using PyTorch
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch