Remove face code

Remove face
robmarkcole · Jul 16, 2019 · 5922948 · 5922948
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diff --git a/README.md b/README.md
@@ -1,5 +1,5 @@
-# HASS-Deepstack
-[Home Assistant](https://www.home-assistant.io/) custom components for using Deepstack face &amp; object detection. [Deepstack](https://www.deepquestai.com/insider/) is a service which runs in a docker container and exposes deep-learning models via a REST API. There is no cost for using Deepstack, although you will need a machine with 8 GB RAM. On your machine with docker, pull the latest image (approx. 2GB):
+# HASS-Deepstack-object
+[Home Assistant](https://www.home-assistant.io/) custom components for using Deepstack object detection. [Deepstack](https://www.deepquestai.com/insider/) is a service which runs in a docker container and exposes deep-learning models via a REST API. There is no cost for using Deepstack, although you will need a machine with 8 GB RAM. On your machine with docker, pull the latest image (approx. 2GB):
 
 ```
 sudo docker pull deepquestai/deepstack
@@ -23,53 +23,6 @@ Now go to http://YOUR_SERVER_IP_ADDRESS:5000/ on another computer or the same on
 ## Home Assistant setup
 Place the `custom_components` folder in your configuration directory (or add its contents to an existing `custom_components` folder). Then configure face recognition and/or object detection. Note that at we use `scan_interval` to (optionally) limit computation, [as described here](https://www.home-assistant.io/components/image_processing/#scan_interval-and-optimising-resources).
 
-## Face recognition
-Deepstack [face recognition](https://deepstackpython.readthedocs.io/en/latest/facerecognition.html) counts faces and will recognise them if you have trained your Deepstack using the `deepstack_teach_face` service.
-
-On you machine with docker, run Deepstack with the face recognition service active on port `5000`:
-```
-sudo docker run -e VISION-FACE=True -v localstorage:/datastore -p 5000:5000 deepquestai/deepstack
-```
-
-The `deepstack_face` component adds an `image_processing` entity where the state of the entity is the total number of faces that are found in the camera image. Recognised faces are listed in the entity `matched faces
-` attribute.
-
-Add to your Home-Assistant config:
-```yaml
-image_processing:
-  - platform: deepstack_face
-    ip_address: localhost
-    port: 5000
-    scan_interval: 20000
-    source:
-      - entity_id: camera.local_file
-        name: face_counter
-```
-Configuration variables:
-- **ip_address**: the ip address of your deepstack instance.
-- **port**: the port of your deepstack instance.
-- **source**: Must be a camera.
-- **name**: (Optional) A custom name for the the entity.
-
-#### Service `deepstack_teach_face`
-This service is for teaching (or [registering](https://deepstackpython.readthedocs.io/en/latest/facerecognition.html#face-registeration)) faces with deepstack, so that they can be recognised.
-
-Example valid service data:
-```
-{
-  "name": "superman",
-  "file_path": "/Users/robincole/.homeassistant/images/superman_1.jpeg"
-}
-```
-
-<p align="center">
-<img src="https://github.com/robmarkcole/HASS-Deepstack/blob/master/docs/face_usage.png" width="500">
-</p>
-
-<p align="center">
-<img src="https://github.com/robmarkcole/HASS-Deepstack/blob/master/docs/face_detail.png" width="350">
-</p>
-
 ## Object Detection
 Deepstack [object detection](https://deepstackpython.readthedocs.io/en/latest/objectdetection.html) can identify 80 different kinds of objects, including people (`person`) and animals. On you machine with docker, run Deepstack with the object detection service active on port `5000`:
 ```
@@ -100,11 +53,11 @@ Configuration variables:
 - **name**: (Optional) A custom name for the the entity.
 
 <p align="center">
-<img src="https://github.com/robmarkcole/HASS-Deepstack/blob/master/docs/object_usage.png" width="800">
+<img src="https://github.com/robmarkcole/HASS-Deepstack-object/blob/master/docs/object_usage.png" width="800">
 </p>
 
 <p align="center">
-<img src="https://github.com/robmarkcole/HASS-Deepstack/blob/master/docs/object_detail.png" width="350">
+<img src="https://github.com/robmarkcole/HASS-Deepstack-object/blob/master/docs/object_detail.png" width="350">
 </p>
 
 #### Event `image_processing.object_detected`
@@ -176,7 +129,7 @@ sudo docker run -e VISION-DETECTION=True -e VISION-FACE=True -v localstorage:/da
 ```
 
 <p align="center">
-<img src="https://github.com/robmarkcole/HASS-Deepstack/blob/master/docs/face_and_object_usage.png" width="500">
+<img src="https://github.com/robmarkcole/HASS-Deepstack-object/blob/master/docs/face_and_object_usage.png" width="500">
 </p>
 
 ### Support
@@ -229,9 +182,3 @@ Q7: Can object detection be configured to detect car/car colour?
 A7: The list of detected object classes is at the end of the page [here](https://deepstackpython.readthedocs.io/en/latest/objectdetection.html). There is no support for detecting the colour of an object.
 
 ------
-
-Q8: If I teach (register) a face do I need to re-teach if I restart the container?
-
-A8: So long as you have run the container including `-v localstorage:/datastore` then you do not need to re-teach, as data is persisted between restarts.
-
-------
diff --git a/custom_components/deepstack_face/__init__.py b/custom_components/deepstack_face/__init__.py
diff --git a/custom_components/deepstack_face/image_processing.py b/custom_components/deepstack_face/image_processing.py
diff --git a/custom_components/deepstack_face/manifest.json b/custom_components/deepstack_face/manifest.json
diff --git a/development/.ipynb_checkpoints/Deepstack face dev-checkpoint.ipynb b/development/.ipynb_checkpoints/Deepstack face dev-checkpoint.ipynb
diff --git a/development/.ipynb_checkpoints/Deepstack object detection-checkpoint.ipynb b/development/.ipynb_checkpoints/Deepstack object detection-checkpoint.ipynb
diff --git a/development/.ipynb_checkpoints/boxed_img-checkpoint.jpg b/development/.ipynb_checkpoints/boxed_img-checkpoint.jpg
diff --git a/development/Deepstack face dev.ipynb b/development/Deepstack face dev.ipynb
diff --git a/development/adele_test.jpg b/development/adele_test.jpg
diff --git a/development/adele_train.jpg b/development/adele_train.jpg
diff --git a/development/bad.jpg b/development/bad.jpg
diff --git a/development/boxed_img.jpg b/development/boxed_img.jpg
diff --git a/development/face_0.jpg b/development/face_0.jpg
diff --git a/development/face_1.jpg b/development/face_1.jpg
diff --git a/development/face_2.jpg b/development/face_2.jpg
diff --git a/development/face_3.jpg b/development/face_3.jpg
diff --git a/docs/face_detail.png b/docs/face_detail.png
diff --git a/docs/face_usage.png b/docs/face_usage.png
diff --git a/docs/notification.jpg b/docs/notification.jpg