Remove old hub page (#2785)

* Remove old hub page

* Update wording

* Reset date

source/_components/image_processing.opencv.markdown

@@ -10,9 +10,44 @@ footer: true
 logo: opencv.png
 ha_category: Image Processing
 featured: false
-ha_release: 0.44
+ha_release: 0.47
 ---
 
-The `opencv` image processing platform allows you to create a standalone image processor without the linked camera entity as mentioned in the [OpenCV page](https://home-assistant.io/components/opencv).
+[OpenCV](http://www.opencv.org) is an open source computer vision image and video processing library.
 
-Please refer to the [component](/components/opencv/) configuration on how to setup the image processor.
+Some pre-defined classifiers can be found here: https://github.com/opencv/opencv/tree/master/data
+
+### {% linkable_title Configuration %}
+
+To setup OpenCV with Home Assistant, add the following section to your `configuration.yaml` file:
+
+```yaml
+# Example configuration.yaml entry
+image_processing:
+  - platform: opencv
+    name: Front Door Faces
+    source:
+      - entity_id: camera.front_door
+    classifier:
+      mom: /path/to/classifier.xml
+```
+
+- **name** (*Required*): The name of the OpenCV image processor.
+- **source** array (*Required*): List of image sources.
+  - **entity_id** (*Required*): A camera entity id to get picture from.
+    - **name** (*Optional*): This parameter allows you to override the name of your `image_processing` entity.
+- **classifier** (*Optional*): Dictionary of name to path to the classifier xml file. If this field is not provided, a face classifier will be downloaded from OpenCV's github repo.
+
+**classifier** may also be defined as a dictionary of names to classifier configurations:
+
+```yaml
+    mom:
+      file: /path/to/classifier/xml
+      neighbors: 4
+      min_size: (40, 40)
+      scale: 1.1f
+```
+
+- **file** (*Required*): The path to the classifier xml file.
+- **scale** (*Optional*): The scale to perform when processing, this is a `float` value that must be greater than or equal to `1.0`, default is `1.1`.
+- **neighbors** (*Optional*): The minimum number of neighbors required for a match, default is `4`. The higher this number, the more picky the matching will be; lower the number, the more false positives you may experience.

source/_components/opencv.markdown

@@ -1,75 +0,0 @@
----
-layout: page
-title: "OpenCV"
-description: "Instructions how to setup OpenCV within Home Assistant."
-date: 2017-04-01 22:36
-sidebar: true
-comments: false
-sharing: true
-footer: true
-logo: opencv.png
-ha_category: Hub
-ha_release: 0.44
-ha_iot_class: "Local Push"
----
-
-[OpenCV](http://www.opencv.org) is an open source computer vision image and video processing library.
-
-Some pre-defined classifiers can be found here: https://github.com/opencv/opencv/tree/master/data
-
-### {% linkable_title Configuration %}
-
-To setup OpenCV with Home Assistant, add the following section to your `configuration.yaml` file:
-
-```yaml
-# Example configuration.yaml entry
-opencv:
-  classifier_group:
-    - name: Family
-      add_camera: True
-      entity_id:
-        - camera.front_door
-        - camera.living_room
-      classifier:
-        - file_path: /path/to/classifier/face.xml
-          name: Bob
-        - file_path: /path/to/classifier/face_profile.xml
-          name: Jill
-          min_size: (20, 20)
-          color: (255, 0, 0)
-          scale: 1.6
-          neighbors: 5
-        - file_path: /path/to/classifier/kid_face.xml
-          name: Little Jimmy
-```
-
-Configuration variables:
-
-- **name** (*Required*): The name of the OpenCV image processor.
-- **entity_id** (*Required*): The camera entity or list of camera entities that this classification group will be applied to.
-- **classifier** (*Required*): The classification configuration for to be applied:
-  - **file_path** (*Required*): The path to the HAARS or LBP classification file (xml).
-  - **name** (*Optional*): The classification name, the default is `Face`.
-  - **min_size** (*Optional*): The minimum size for detection as a tuple `(width, height)`, the default is `(30, 30)`.
-  - **color** (*Optional*): The color, as a tuple `(Blue, Green, Red)` to draw the rectangle when linked to a dispatcher camera, the default is `(255, 255, 0)`.
-  - **scale** (*Optional*): The scale to perform when processing, this is a `float` value that must be greater than or equal to `1.0`, default is `1.1`.
-  - **neighbors** (*Optional*): The minimum number of neighbors required for a match, default is `4`. The higher this number, the more picky the matching will be; lower the number, the more false positives you may experience.
-
-Once OpenCV is configured, it will create an `image_processing` entity for each classification group/camera entity combination as well as a camera so you can see what Home Assistant sees.
-
-The attributes on the `image_processing` entity will be:
-
-```json
-'matches': {
-  'Bob': [
-    (x, y, w, h)
-  ],
-  'Jill': [
-    (x, y, w, h)
-  ],
-  'Little Jimmy': [
-    (x, y, w, h)
-  ]
-}
-```
-