fast-reid
l2rpn-baselines
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| fast-reid | l2rpn-baselines | |
|---|---|---|
| 3 | 1 | |
| 3,267 | 73 | |
| 1.4% | - | |
| 1.2 | 5.5 | |
| 4 months ago | about 1 month ago | |
| Python | Python | |
| Apache License 2.0 | Mozilla Public License 2.0 |
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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)
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l2rpn-baselines
What are some alternatives?
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
PPO-PyTorch - Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
freqtrade-gym - A customized gym environment for developing and comparing reinforcement learning algorithms in crypto trading.
DOLG-pytorch - Unofficial PyTorch Implementation of "DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features"
osqp_benchmarks - QP Benchmarks for the OSQP Solver against GUROBI, MOSEK, ECOS and qpOASES
apex-configs-by-deafps - Apex config & tweaks
Hekate-Toolbox - A toolbox for Hekate
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
pymarl2 - Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
PPYOLOE_pytorch - An unofficial implementation of Pytorch version PP-YOLOE,based on Megvii YOLOX training code.
yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)