release code

Dassl.ProGrad.pytorch/dassl/data/datasets/da/office31.py

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+import os.path as osp
+
+from dassl.utils import listdir_nohidden
+
+from ..build import DATASET_REGISTRY
+from ..base_dataset import Datum, DatasetBase
+
+
+@DATASET_REGISTRY.register()
+class Office31(DatasetBase):
+    """Office-31.
+
+    Statistics:
+        - 4,110 images.
+        - 31 classes related to office objects.
+        - 3 domains: Amazon, Webcam, Dslr.
+        - URL: https://people.eecs.berkeley.edu/~jhoffman/domainadapt/.
+
+    Reference:
+        - Saenko et al. Adapting visual category models to
+        new domains. ECCV 2010.
+    """
+
+    dataset_dir = "office31"
+    domains = ["amazon", "webcam", "dslr"]
+
+    def __init__(self, cfg):
+        root = osp.abspath(osp.expanduser(cfg.DATASET.ROOT))
+        self.dataset_dir = osp.join(root, self.dataset_dir)
+
+        self.check_input_domains(
+            cfg.DATASET.SOURCE_DOMAINS, cfg.DATASET.TARGET_DOMAINS
+        )
+
+        train_x = self._read_data(cfg.DATASET.SOURCE_DOMAINS)
+        train_u = self._read_data(cfg.DATASET.TARGET_DOMAINS)
+        test = self._read_data(cfg.DATASET.TARGET_DOMAINS)
+
+        super().__init__(train_x=train_x, train_u=train_u, test=test)
+
+    def _read_data(self, input_domains):
+        items = []
+
+        for domain, dname in enumerate(input_domains):
+            domain_dir = osp.join(self.dataset_dir, dname)
+            class_names = listdir_nohidden(domain_dir)
+            class_names.sort()
+
+            for label, class_name in enumerate(class_names):
+                class_path = osp.join(domain_dir, class_name)
+                imnames = listdir_nohidden(class_path)
+
+                for imname in imnames:
+                    impath = osp.join(class_path, imname)
+                    item = Datum(
+                        impath=impath,
+                        label=label,
+                        domain=domain,
+                        classname=class_name
+                    )
+                    items.append(item)
+
+        return items