sam back as default since its no issue with high enough versions of timm

encoder.py

@@ -248,14 +248,14 @@ class EncoderAlgorithm(QgsProcessingAlgorithm):
                             'ViT base DINO',
                             'ViT tiny Imagenet (smallest)', 
                             'ViT base MAE', 
-                            # 'SAM', 
+                            'SAM', 
                             '--Empty--'
                             ]
         self.timm_backbone_opt = [
                             'vit_base_patch16_224.dino',
                             'vit_tiny_patch16_224.augreg_in21k',
                             'vit_base_patch16_224.mae',
-                            # 'samvit_base_patch16.sa1b',
+                            'samvit_base_patch16.sa1b',
                             ]
         self.addParameter (
             QgsProcessingParameterEnum(

tests/test_encoder.py

@@ -98,13 +98,13 @@ class TestEncoderAlgorithm(unittest.TestCase):
                 'vit_base_patch16_224.dino',
                 'vit_tiny_patch16_224.augreg_in21k',
                 'vit_base_patch16_224.mae',
-                # 'samvit_base_patch16.sa1b',
+                'samvit_base_patch16.sa1b',
                 ]
         expected_output_size = [
                 torch.Size([1,197,768]),
                 torch.Size([1,197,192]),
                 torch.Size([1,197,768]),
-                # torch.Size([1, 256, 64, 64]),
+                torch.Size([1, 256, 64, 64]),
                 ]
 
         for arch, exp_feat_size in zip(archs, expected_output_size):