SOTA Re-identification Methods and Toolbox
configs/Market1501/bagtricks_vit.yml
freezebackbone
function in step of optimizerfind_unused_parameters
in DDPprojects/FastTune
.projects/
, including face recogntion, attributed recognition, image classification, overhaul distillation and image retrieval.cfg.SOLVER.FP16_ENABLED
) powered by apex
.faiss-gpu
.Some major features:
Distributed DataParallel(DDP) training and evaluation.
Model distillation.
Caffe/ONNX/TensoRT deployment.
Pretrained model release.
Some major features:
High modular design.
SoTA results on conventional person re-id, cross-domain person re-id, partial person re-id, and vehicle re-id.
multi-GPU training and multi-dataset testing simultaneously
standard dataset splits used by the most paper.
visualization methods including rank list and annotation visualization.
abundant evaluation metrics including CMC, mAP, mINP, and ROC.