【行人重识别】TransReID复现（market1501为例）

代码参考：https://github.com/heshuting555/TransReID

论文参考：https://arxiv.org/abs/2102.04378

1.环境

ubuntu16.04
python3.6
cuda110

torch==1.7.0+cu110
torchvision==0.8.0

timm
yacs
opencv-python==4.1.0.25

2.模型准备

https://www.kaggle.com/abhinand05/vit-base-models-pretrained-pytorch

3.修改

将下面路径修改为你自己的路径：

1）预训练模型路径

2）数据路径

3）模型保存路径

修改configs/Market/vit_transreid.yml文件，都改为自己的（最后一个是因为模型保存在TransReID上一级目录中）：

MODEL:  
  PRETRAIN_PATH: '/home/***/.cache/torch/checkpoints/jx_vit_base_p16_224-80ecf9dd.pth'

DATASETS:
  NAMES: ('market1501')
  ROOT_DIR: ('/root/datasets/')

TEST:
  EVAL: True
  IMS_PER_BATCH: 256
  RE_RANKING: False
  WEIGHT: './logs/market_vit_transreid/transformer_120.pth'

OUTPUT_DIR: './logs/market_vit_transreid'

4.训练

python train.py --config_file configs/Market/vit_transreid.yml MODEL.DEVICE_ID "('0')"