- 更新了项目的依赖列表,增加了 yaml、ftfy、regex、tensorboard 等新依赖 - 调整了训练脚本 run_irra.sh 中的 batch_size 参数,从 64 修改为 16 - 更新了数据集根目录路径
@@ -20,10 +20,17 @@ The goal of this work is to enhance global text-to-image person retrieval perfor
### Requirements
we use single RTX3090 24G GPU for training and evaluation.
```
-pytorch 1.9.0
-torchvision 0.10.0
+pytorch==1.9.0
+torchvision==0.10.0
prettytable
easydict
+yaml
+ftfy
+regex
+tensorboard
+numpy==1.26.4
+tqdm
+setuptools==59.5.0
### Prepare Datasets
@@ -5,9 +5,9 @@ CUDA_VISIBLE_DEVICES=0 \
python train.py \
--name iira \
--img_aug \
---batch_size 64 \
+--batch_size 16 \
--MLM \
--dataset_name $DATASET_NAME \
--loss_names 'sdm+mlm+id' \
---root_dir '/mnt/vos-s9gjtkm2/reid/dataset/cross_reid' \
+--root_dir '/home/linkslinks/dataset' \
--num_epoch 60