fast-reid
pytorch-metric-learning
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| fast-reid | pytorch-metric-learning | |
|---|---|---|
| 3 | 3 | |
| 3,273 | 5,754 | |
| 1.6% | - | |
| 1.2 | 8.1 | |
| 5 months ago | 23 days ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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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!
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
What are some alternatives?
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
dino - PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
l2rpn-baselines - L2RPN Baselines a repository to host baselines for l2rpn competitions.
lightly - A python library for self-supervised learning on images.
DOLG-pytorch - Unofficial PyTorch Implementation of "DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features"
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
apex-configs-by-deafps - Apex config & tweaks
byol-pytorch - Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
Hekate-Toolbox - A toolbox for Hekate
autogluon - AutoGluon: Fast and Accurate ML in 3 Lines of Code
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
simsiam-cifar10 - Code to train the SimSiam model on cifar10 using PyTorch