Person_reID_baseline_pytorch
This Pytorch-based baseline for object re-identification achieves notable performance with a Rank@1 of 88.24% and mAP of 70.68% using softmax loss. It requires minimal GPU memory, operating efficiently with Nvidia's fp16 technology on just 2GB. The project offers a range of customizable options and techniques including part-based convolutional methods and various loss functions. An 8-minute introductory tutorial assists new users, making this solution adaptable and accessible for various levels of expertise.
