Added doods component documentation

source/_components/doods.markdown

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+---
+title: "DOODS"
+description: "Detect and recognize objects with DOODS."
+ha_category:
+  - Image Processing
+ha_iot_class: Local Polling
+ha_release: 0.99
+---
+
+The `doods` image processing platform allows you to detect and recognize objects in a camera image using [DOODS](https://github.com/snowzach/doods/). The state of the entity is the number of objects detected, and recognized objects are listed in the `summary` attribute along with quantity. The `matches` attribute provides the confidence `score` for recognition and the bounding `box` of the object for each detection category.
+
+## Setup
+
+You need to have DOODS running somewhere. It's easiest to run as a docker container and deployment is described on docker hub 
+[DOODS - Docker](https://hub.docker.com/r/snowzach/doods)
+
+## Configuration
+
+The configuration loosely follows the tensorflow configuration. To enable this platform in your installation, add the following to your `configuration.yaml` file:
+
+```yaml
+# Example configuration.yaml entry
+image_processing:
+  - platform: doods
+    url: "http://<my doods server>:8080"
+    source:
+      - entity_id: camera.front_yard
+```
+
+{% configuration %}
+source:
+  description: The list of image sources.
+  required: true
+  type: map
+  keys:
+    entity_id:
+      description: A camera entity id to get picture from.
+      required: true
+      type: string
+    name:
+      description: This parameter allows you to override the name of your `image_processing` entity.
+      required: false
+      type: string
+url:
+    description: The URL of the DOODS server
+    required: true
+    type: string
+detector:
+    description: The DOODS detector to use
+    required: false
+    type: string
+confidence:
+    description: The default confidence for any detected objects where not explicitly set
+    required: false
+    type: float
+file_out:
+    description: A [template](/docs/configuration/templating/#processing-incoming-data) for the integration to save processed images including bounding boxes. `camera_entity` is available as the `entity_id` string of the triggered source camera.
+    required: false
+    type: list
+labels:
+    description: Information about the selected labels model.
+    required: false
+    type: map
+    keys:
+      name:
+        description: The label of the object to select for detection.
+        required: true
+        type: string
+      confidence:
+       description: The minimum confidence for the selected label
+       required: false
+       type: float
+      area:
+        description: Custom detection area. Only objects fully in this box will be reported. Top of image is 0, bottom is 1.  Same left to right.
+        required: false
+        type: map
+        keys:
+          top:
+            description: Top line defined as % from top of image.
+            required: false
+            type: float
+            default: 0
+          left:
+            description: Left line defined as % from left of image.
+            required: false
+            type: float
+            default: 0
+          bottom:
+            description: Bottom line defined as % from top of image.
+            required: false
+            type: float
+            default: 1
+          right:
+            description: Right line defined as % from left of image.
+            required: false
+            type: float
+            default: 1
+
+{% endconfiguration %}
+
+```yaml
+# Example advanced configuration.yaml entry
+# Example configuration.yaml entry
+image_processing:
+  - platform: doods
+    scan_interval: 1000
+    url: "http://<my doods server>:8080"
+    detector: default
+    source:
+      - entity_id: camera.front_yard
+    file_out:
+      - "/tmp/{% raw %}{{ camera_entity.split('.')[1] }}{% endraw %}_latest.jpg"
+      - "/tmp/{% raw %}{{ camera_entity.split('.')[1] }}_{{ now().strftime('%Y%m%d_%H%M%S') }}{% endraw %}.jpg"
+    confidence: 50
+    labels:
+      - name: person
+        confidence: 40
+        area:
+          # Exclude top 10% of image
+          top: 0.1
+          # Exclude right 15% of image
+          right: 0.85
+      - car
+      - truck
+```
+
+## Optimising resources
+
+[Image processing components](/components/image_processing/) process the image from a camera at a fixed period given by the `scan_interval`. This leads to excessive processing if the image on the camera hasn't changed, as the default `scan_interval` is 10 seconds. You can override this by adding to your config `scan_interval: 10000` (setting the interval to 10,000 seconds), and then call the `image_processing.scan` service when you actually want to perform processing.
+
+```yaml
+# Example advanced configuration.yaml entry
+image_processing:
+  - platform: doods
+    scan_interval: 10000
+    source:
+      - entity_id: camera.driveway
+      - entity_id: camera.backyard
+```
+
+```yaml
+# Example advanced automations.yaml entry
+- alias: Doods scanning
+  trigger:
+     - platform: state
+       entity_id:
+         - binary_sensor.driveway
+  action:
+    - service: image_processing.scan
+      entity_id: camera.driveway
+```