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Person-ReID

全国人工智能大赛复赛方案 global feature部分,没进决赛懒得整理代码了(摊手)

  1. Install dependencies:

  2. Bag of tricks

  • Warm up learning rate
  • Random erasing augmentation
  • Label smoothing
  • Last stride
  • BNNeck
  • Center loss
  • Focal loss
  • OSM Loss
  • GCNet
  1. 初赛pretrained-weights 提取码: kmn2 copy to folder 'market1501'

  2. 训练方法
    1.将数据集train 与 train_list.txt放置在dataset文件夹下,运行change_name.py,预处理数据集,将query 解压在 query文件夹下,gallery 解压在 bounding_box_test文件夹下。
    2.运行train_resnet152.sh 训练模型 模型结果及模型权重保存在market1501下。

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