Upload pt_model.py

scripts/pt_model.py

@@ -16,12 +16,13 @@ hf_model = SamModel(config=SamConfig())
 hf_model.load_state_dict(hf_state_dict)
 hf_model.save_pretrained('./')
 
-# update the processor, inputs are min-max scaled instead of normalized
+# update the processor
 hf_processor = SamProcessor(
     image_processor=SamImageProcessor(
         do_normalize=False,
         image_mean=[0, 0, 0],
         image_std=[1, 1, 1],
+        resample=3,
     )
 )