feat: add sam load and save emb

sam/sam_load_emb.py

@@ -0,0 +1,47 @@
+import folder_paths
+import torch
+from segment_anything import SamAutomaticMaskGenerator, sam_model_registry
+from einops import rearrange, repeat
+
+class SAM_Load_Embedding:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "filename": ("STRING", {
+                    "multiline": False,
+                    "default": "embeddings"
+                }),
+            }
+        }
+
+    RETURN_TYPES = ("EMBEDDINGS",)
+    RETURN_NAMES = ("EMBEDDINGS",)
+
+    OUTPUT_NODE = True
+
+    FUNCTION = "process"
+
+    CATEGORY = "image"
+
+    def process(self, filename):
+        import json
+        import numpy as np
+
+        data = {}
+        with open(filename, 'r') as f:
+            data = json.load(f)
+        
+        # Convert list to numpy ndarray
+        data['image_embedding'] = np.array(data['image_embedding'])
+        
+        return (data, )
+
+
+NODE_CLASS_MAPPINGS = {
+    "SAM_Load_Embedding": SAM_Load_Embedding
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "SAM_Load_Embedding": "SAM_Load_Embedding "
+}

sam/sam_save_emb.py

@@ -0,0 +1,61 @@
+import folder_paths
+import torch
+from segment_anything import SamAutomaticMaskGenerator, sam_model_registry
+from einops import rearrange, repeat
+
+class SAM_Save_Embedding:
+    def __init__(self):
+        self.output_dir = folder_paths.get_output_directory()
+        self.type = "output"
+        self.prefix_append = ""
+    
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "embeddings": ("EMBEDDINGS",),
+                "filename": ("STRING", {
+                    "multiline": False,
+                    "default": "embeddings"
+                }),
+                "write_mode": (["Overwrite", "Increment"],),
+            }
+        }
+
+    RETURN_TYPES = ()
+    RETURN_NAMES = ()
+
+    OUTPUT_NODE = True
+
+    FUNCTION = "process"
+
+    CATEGORY = "image"
+
+    def process(self, embeddings, filename, write_mode):
+        import json
+
+        filepath = self.output_dir + "/" + filename + '.json'
+
+        if write_mode == "Increment":
+            count = 0
+            # while file exists, increment count
+            while os.path.exists(self.output_dir + "/" + filename + '_' + str(count) + '.json'):
+                count += 1
+
+            filepath = self.output_dir + "/" + filename + '_' + str(count) + '.json'
+
+        # print(embeddings)
+        embeddings['image_embedding'] = embeddings['image_embedding'].tolist()
+        with open(filepath, 'w') as f:
+            json.dump(embeddings, f)
+        
+        return { "ui" : { "file": { filepath.replace(f"{self.output_dir}/", "") } } }
+
+
+NODE_CLASS_MAPPINGS = {
+    "SAM_Save_Embedding": SAM_Save_Embedding
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "SAM_Save_Embedding": "SAM_Save_Embedding "
+}