update notebooks to specify model_type explicitly

notebooks/automatic_mask_generator_example.ipynb

@@ -214,19 +214,6 @@
     "To run automatic mask generation, provide a SAM model to the `SamAutomaticMaskGenerator` class. Set the path below to the SAM checkpoint. Running on CUDA and with the default model is recommended."
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "17ade22d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sam_checkpoint = \"sam_vit_h_4b8939.pth\"\n",
-    "\n",
-    "device = \"cuda\"\n",
-    "model_type = \"default\""
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 10,
@@ -238,6 +225,11 @@
     "sys.path.append(\"..\")\n",
     "from segment_anything import sam_model_registry, SamAutomaticMaskGenerator, SamPredictor\n",
     "\n",
+    "sam_checkpoint = \"sam_vit_h_4b8939.pth\"\n",
+    "model_type = \"vit_h\"\n",
+    "\n",
+    "device = \"cuda\"\n",
+    "\n",
     "sam = sam_model_registry[model_type](checkpoint=sam_checkpoint)\n",
     "sam.to(device=device)\n",
     "\n",
@@ -446,7 +438,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.10"
+   "version": "3.8.0"
   }
  },
  "nbformat": 4,

notebooks/onnx_model_example.ipynb

@@ -192,7 +192,7 @@
    "outputs": [],
    "source": [
     "checkpoint = \"sam_vit_h_4b8939.pth\"\n",
-    "model_type = \"default\""
+    "model_type = \"vit_h\""
    ]
   },
   {
@@ -766,7 +766,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.10"
+   "version": "3.8.0"
   }
  },
  "nbformat": 4,

notebooks/predictor_example.ipynb

@@ -229,18 +229,6 @@
     "First, load the SAM model and predictor. Change the path below to point to the SAM checkpoint. Running on CUDA and using the default model are recommended for best results."
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "17ccff22",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sam_checkpoint = \"sam_vit_h_4b8939.pth\"\n",
-    "device = \"cuda\"\n",
-    "model_type = \"default\""
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 10,
@@ -252,6 +240,11 @@
     "sys.path.append(\"..\")\n",
     "from segment_anything import sam_model_registry, SamPredictor\n",
     "\n",
+    "sam_checkpoint = \"sam_vit_h_4b8939.pth\"\n",
+    "model_type = \"vit_h\"\n",
+    "\n",
+    "device = \"cuda\"\n",
+    "\n",
     "sam = sam_model_registry[model_type](checkpoint=sam_checkpoint)\n",
     "sam.to(device=device)\n",
     "\n",
@@ -1015,7 +1008,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.10"
+   "version": "3.8.0"
   }
  },
  "nbformat": 4,