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README.md

Hyper-Parameter Optimization in FastReID

This project includes training reid models with hyper-parameter optimization.

Install the following

pip install 'ray[tune]'
pip install hpbandster ConfigSpace hyperopt

Example

This is an example for tuning batch_size and num_instance automatically.

To train hyperparameter optimization with BOHB(Bayesian Optimization with HyperBand) search algorithm, run

python3 projects/FastTune/tune_net.py --config-file projects/FastTune/configs/search_trial.yml --srch-algo "bohb"

Known issues

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该算法把样本聚类和特征学习融合到一个端到端的网络框架中，提升模型的跨域能力。该模型在Market训练，DukeMTMC上测试能达到82.0%的准确率，在DukeMTMC上训练，Market上测试能达到92.2%的准确率。

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