fix pair_dataset random seed in val and test mode

add ce loss

projects/FastShoe/configs/base-pair.yaml

@@ -18,7 +18,11 @@ MODEL:
     NUM_CLASSES: 2
 
   LOSSES:
-    NAME: ("ContrastiveLoss",)
+    NAME: ("CrossEntropyLoss", "ContrastiveLoss")
+    
+    CE:
+      EPSILON: 0.1
+      SCALE: 1.
 
     CONTRASTIVE:
       MARGIN: 2.0

projects/FastShoe/fastshoe/data/pair_dataset.py

@@ -4,21 +4,33 @@
 # @File    : pair_dataset.py
 import os
 import random
+import logging
 
 import torch
 from torch.utils.data import Dataset
 
 from fastreid.data.data_utils import read_image
+from fastreid.utils.env import seed_all_rng
+
+logger = logging.getLogger(__name__)
 
 
 class PairDataset(Dataset):
-    def __init__(self, img_root: str, pos_folders: list, neg_folders: list, transform=None):
+    def __init__(self, img_root: str, pos_folders: list, neg_folders: list, transform=None, mode: str = 'train' ):
+        assert mode in ('train', 'val', 'test'), logger.info('''mode should the one of ('train', 'val', 'test')''')
         self.img_root = img_root
         self.pos_folders = pos_folders
         self.neg_folders = neg_folders
         self.transform = transform
+        self.mode = mode
+
+        if self.mode != 'train':
+            seed_all_rng(12345)
 
     def __len__(self):
+        if self.mode == 'test':
+            return len(self.pos_folders) * 10
+
         return len(self.pos_folders)
 
     def __getitem__(self, idx):
@@ -50,4 +62,4 @@ class PairDataset(Dataset):
 
     @property
     def num_classes(self):
-        return len(self.pos_folders)
+        return 2

projects/FastShoe/fastshoe/trainer.py

@@ -37,7 +37,7 @@ class PairTrainer(DefaultTrainer):
 
         transforms = build_transforms(cfg, is_train=True)
         train_set = PairDataset(img_root=cls.img_dir,
-                                pos_folders=pos_folder_list, neg_folders=neg_folder_list, transform=transforms)
+                                pos_folders=pos_folder_list, neg_folders=neg_folder_list, transform=transforms, mode='train')
         data_loader = build_reid_train_loader(cfg, train_set=train_set)
         return data_loader
 
@@ -50,7 +50,7 @@ class PairTrainer(DefaultTrainer):
         transforms = build_transforms(cfg, is_train=False)
 
         test_set = PairDataset(img_root=cls.img_dir,
-                               pos_folders=data.train, neg_folders=data.query, transform=transforms)
+                               pos_folders=data.train, neg_folders=data.query, transform=transforms, mode='val')
         data_loader, _ = build_reid_test_loader(cfg, test_set=test_set)
         return data_loader