DOCS-1897: Add attributes to ML model vision service (viamrobotics#2638)

docs/ml/vision/color_detector.md

@@ -92,7 +92,7 @@ Add the vision service object to the services array in your raw JSON configurati
 {{% /tab %}}
 {{< /tabs >}}
 
-The following parameters are available for a `color_detector`.
+The following parameters are available for a `color_detector`:
 
 <!-- prettier-ignore -->
 | Parameter | Inclusion | Description |

docs/ml/vision/mlmodel.md

@@ -117,6 +117,18 @@ Add the vision service object to the services array in your raw JSON configurati
 
 Click **Save config**.
 
+The following attributes are available for an `mlmodel` detector or classifier:
+
+<!-- prettier-ignore -->
+| Parameter | Type | Inclusion | Description |
+| --------- | ---- | --------- | ----------- |
+| `mlmodel_name` | string | **Required** | The name of the [ML model service](/ml/deploy/) you want to use the model from. |
+| `remap_output_names` | object | Optional | The names of your output tensors, mapped to the service requirements. See [Tensor names](#tensor-names) for more information. |
+| `remap_input_names` | object | Optional | The name of your input tensor, mapped to the service requirements. See [Tensor names](#tensor-names) for more information. |
+| `input_image_bgr` | bool | Optional | Set this to `true` if the ML model service expects the input image to have BGR pixels, rather than RGB pixels. <br> Default: `false` |
+| `input_image_mean_value` | array | Optional | The standard deviation of the RGB (or BGR) values. Only required if the ML model service expects the input image to be normalized. <br> Default: `[0.5, 0.5, 0.5]` |
+| `input_image_std_dev` | array | Optional | The standard deviation of the RGB (or BGR) values. Only required if the ML model service expects the input image to be normalized. <br> Default: `[0.5, 0.5, 0.5]` |
+
 ## Tensor names
 
 Both the `mlmodel` detector and classifier require that the input and output tensors defined by your ML model are named according to the following:
@@ -128,52 +140,61 @@ Both the `mlmodel` detector and classifier require that the input and output ten
   - The _input tensor_ must be named `image`
   - The _output tensor_ must be named `probability`
 
-If you [trained your ML model using the Viam app](/ml/train-model/), your `mlmodel` tensors is already named in this fashion, and you can proceed to [test your detector or classifier](#test-your-detector-or-classifier).
+If you [trained your ML model using the Viam app](/ml/train-model/), your `mlmodel` tensors are already named in this fashion, and you can proceed to [test your detector or classifier](#test-your-detector-or-classifier).
 However, if you [uploaded your own ML model](/ml/upload-model/), or are using one from the [Viam registry](https://app.viam.com/registry), you may need to remap your tensor names to meet this requirement, and should follow the instructions to [remap tensor names](#remap-tensor-names).
 
 ### Remap tensor names
 
 If you need to remap the tensor names defined by your ML model to meet the tensor name requirements of the `mlmodel` detector or classifier, you can use the `remap_input_names` and `remap_output_names` attributes:
 
-- To remap your model's tensor names to work with an `mlmodel` detector, add the following to your `mlmodel` vision service configuration, replacing the `my_model` input and output tensor names with the names from your model:
+{{< tabs >}}
+{{% tab name="Detector" %}}
 
-  ```json {class="line-numbers linkable-line-numbers"}
-  {
-    "type": "vision",
-    "model": "mlmodel",
-    "attributes": {
-      "mlmodel_name": "my_model",
-      "remap_output_names": {
-        "my_model_output_tensor1": "category",
-        "my_model_output_tensor2": "location",
-        "my_model_output_tensor3": "score"
-      },
-      "remap_input_names": {
-        "my_model_input_tensor1": "image"
-      }
+To remap your model's tensor names to work with an `mlmodel` detector, add the following to your `mlmodel` vision service configuration, replacing the `my_model` input and output tensor names with the names from your model:
+
+```json {class="line-numbers linkable-line-numbers"}
+{
+  "type": "vision",
+  "model": "mlmodel",
+  "attributes": {
+    "mlmodel_name": "my_model",
+    "remap_output_names": {
+      "my_model_output_tensor1": "category",
+      "my_model_output_tensor2": "location",
+      "my_model_output_tensor3": "score"
     },
-    "name": "my-vision-service"
-  }
-  ```
+    "remap_input_names": {
+      "my_model_input_tensor1": "image"
+    }
+  },
+  "name": "my-vision-service"
+}
+```
+
+{{% /tab %}}
+{{% tab name="Classifier" %}}
 
-- To remap your model's tensor names to work with an `mlmodel` classifier, add the following to your `mlmodel` vision service configuration, replacing the `my_model` input and output tensor names with the names from your model:
+To remap your model's tensor names to work with an `mlmodel` classifier, add the following to your `mlmodel` vision service configuration, replacing the `my_model` input and output tensor names with the names from your model:
 
-  ```json {class="line-numbers linkable-line-numbers"}
-  {
-    "type": "vision",
-    "model": "mlmodel",
-    "attributes": {
-      "mlmodel_name": "my_model",
-      "remap_output_names": {
-        "my_model_output_tensor1": "probability"
-      },
-      "remap_input_names": {
-        "my_model_input_tensor1": "image"
-      }
+```json {class="line-numbers linkable-line-numbers"}
+{
+  "type": "vision",
+  "model": "mlmodel",
+  "attributes": {
+    "mlmodel_name": "my_model",
+    "remap_output_names": {
+      "my_model_output_tensor1": "probability"
     },
-    "name": "my-vision-service"
-  }
-  ```
+    "remap_input_names": {
+      "my_model_input_tensor1": "image"
+    }
+  },
+  "name": "my-vision-service"
+}
+```
+
+{{% /tab %}}
+{{< /tabs >}}
 
 When done, click **Save config**, then proceed to [test your detector or classifier](#test-your-detector-or-classifier).