Add Facebox teach service (#14998)
* Adds service * Address pylint * Update facebox.py * patch tests * Update facebox.py * Update test_facebox.py * Update facebox.py * Update facebox.py * Update facebox.py * Update test_facebox.py * Update test_facebox.py * Update facebox.py * Update facebox.py * Update facebox.py * Update facebox.py * Adds total_matched_faces * Update test_facebox.py * Update facebox.py * Update test_facebox.py * Update test_facebox.py * Remove fixtures Removes the fixtures which were causing `setup` to fail, replace with `@patch` * Fix teach service test and lint issues
This commit is contained in:
Robin
Martin Hjelmare
parent
c5a2ffbcb9
commit
df8c59406b
3 changed files with 225 additions and 40 deletions
|
|
@ -10,20 +10,26 @@ import logging
|
|||
import requests
|
||||
import voluptuous as vol
|
||||
|
||||
from homeassistant.const import ATTR_NAME
|
||||
from homeassistant.const import (
|
||||
ATTR_ENTITY_ID, ATTR_NAME)
|
||||
from homeassistant.core import split_entity_id
|
||||
import homeassistant.helpers.config_validation as cv
|
||||
from homeassistant.components.image_processing import (
|
||||
PLATFORM_SCHEMA, ImageProcessingFaceEntity, ATTR_CONFIDENCE, CONF_SOURCE,
|
||||
CONF_ENTITY_ID, CONF_NAME)
|
||||
CONF_ENTITY_ID, CONF_NAME, DOMAIN)
|
||||
from homeassistant.const import (CONF_IP_ADDRESS, CONF_PORT)
|
||||
|
||||
_LOGGER = logging.getLogger(__name__)
|
||||
|
||||
ATTR_BOUNDING_BOX = 'bounding_box'
|
||||
ATTR_CLASSIFIER = 'classifier'
|
||||
ATTR_IMAGE_ID = 'image_id'
|
||||
ATTR_MATCHED = 'matched'
|
||||
CLASSIFIER = 'facebox'
|
||||
DATA_FACEBOX = 'facebox_classifiers'
|
||||
EVENT_CLASSIFIER_TEACH = 'image_processing.teach_classifier'
|
||||
FILE_PATH = 'file_path'
|
||||
SERVICE_TEACH_FACE = 'facebox_teach_face'
|
||||
TIMEOUT = 9
|
||||
|
||||
|
||||
|
|
@ -32,6 +38,12 @@ PLATFORM_SCHEMA = PLATFORM_SCHEMA.extend({
|
|||
vol.Required(CONF_PORT): cv.port,
|
||||
})
|
||||
|
||||
SERVICE_TEACH_SCHEMA = vol.Schema({
|
||||
vol.Optional(ATTR_ENTITY_ID): cv.entity_ids,
|
||||
vol.Required(ATTR_NAME): cv.string,
|
||||
vol.Required(FILE_PATH): cv.string,
|
||||
})
|
||||
|
||||
|
||||
def encode_image(image):
|
||||
"""base64 encode an image stream."""
|
||||
|
|
@ -63,18 +75,65 @@ def parse_faces(api_faces):
|
|||
return known_faces
|
||||
|
||||
|
||||
def post_image(url, image):
|
||||
"""Post an image to the classifier."""
|
||||
try:
|
||||
response = requests.post(
|
||||
url,
|
||||
json={"base64": encode_image(image)},
|
||||
timeout=TIMEOUT
|
||||
)
|
||||
return response
|
||||
except requests.exceptions.ConnectionError:
|
||||
_LOGGER.error("ConnectionError: Is %s running?", CLASSIFIER)
|
||||
|
||||
|
||||
def valid_file_path(file_path):
|
||||
"""Check that a file_path points to a valid file."""
|
||||
try:
|
||||
cv.isfile(file_path)
|
||||
return True
|
||||
except vol.Invalid:
|
||||
_LOGGER.error(
|
||||
"%s error: Invalid file path: %s", CLASSIFIER, file_path)
|
||||
return False
|
||||
|
||||
|
||||
def setup_platform(hass, config, add_devices, discovery_info=None):
|
||||
"""Set up the classifier."""
|
||||
if DATA_FACEBOX not in hass.data:
|
||||
hass.data[DATA_FACEBOX] = []
|
||||
|
||||
entities = []
|
||||
for camera in config[CONF_SOURCE]:
|
||||
entities.append(FaceClassifyEntity(
|
||||
facebox = FaceClassifyEntity(
|
||||
config[CONF_IP_ADDRESS],
|
||||
config[CONF_PORT],
|
||||
camera[CONF_ENTITY_ID],
|
||||
camera.get(CONF_NAME)
|
||||
))
|
||||
camera.get(CONF_NAME))
|
||||
entities.append(facebox)
|
||||
hass.data[DATA_FACEBOX].append(facebox)
|
||||
add_devices(entities)
|
||||
|
||||
def service_handle(service):
|
||||
"""Handle for services."""
|
||||
entity_ids = service.data.get('entity_id')
|
||||
|
||||
classifiers = hass.data[DATA_FACEBOX]
|
||||
if entity_ids:
|
||||
classifiers = [c for c in classifiers if c.entity_id in entity_ids]
|
||||
|
||||
for classifier in classifiers:
|
||||
name = service.data.get(ATTR_NAME)
|
||||
file_path = service.data.get(FILE_PATH)
|
||||
classifier.teach(name, file_path)
|
||||
|
||||
hass.services.register(
|
||||
DOMAIN,
|
||||
SERVICE_TEACH_FACE,
|
||||
service_handle,
|
||||
schema=SERVICE_TEACH_SCHEMA)
|
||||
|
||||
|
||||
class FaceClassifyEntity(ImageProcessingFaceEntity):
|
||||
"""Perform a face classification."""
|
||||
|
|
@ -82,7 +141,8 @@ class FaceClassifyEntity(ImageProcessingFaceEntity):
|
|||
def __init__(self, ip, port, camera_entity, name=None):
|
||||
"""Init with the API key and model id."""
|
||||
super().__init__()
|
||||
self._url = "http://{}:{}/{}/check".format(ip, port, CLASSIFIER)
|
||||
self._url_check = "http://{}:{}/{}/check".format(ip, port, CLASSIFIER)
|
||||
self._url_teach = "http://{}:{}/{}/teach".format(ip, port, CLASSIFIER)
|
||||
self._camera = camera_entity
|
||||
if name:
|
||||
self._name = name
|
||||
|
|
@ -94,28 +154,54 @@ class FaceClassifyEntity(ImageProcessingFaceEntity):
|
|||
|
||||
def process_image(self, image):
|
||||
"""Process an image."""
|
||||
response = {}
|
||||
try:
|
||||
response = requests.post(
|
||||
self._url,
|
||||
json={"base64": encode_image(image)},
|
||||
timeout=TIMEOUT
|
||||
).json()
|
||||
except requests.exceptions.ConnectionError:
|
||||
_LOGGER.error("ConnectionError: Is %s running?", CLASSIFIER)
|
||||
response['success'] = False
|
||||
|
||||
if response['success']:
|
||||
total_faces = response['facesCount']
|
||||
faces = parse_faces(response['faces'])
|
||||
self._matched = get_matched_faces(faces)
|
||||
self.process_faces(faces, total_faces)
|
||||
response = post_image(self._url_check, image)
|
||||
if response is not None:
|
||||
response_json = response.json()
|
||||
if response_json['success']:
|
||||
total_faces = response_json['facesCount']
|
||||
faces = parse_faces(response_json['faces'])
|
||||
self._matched = get_matched_faces(faces)
|
||||
self.process_faces(faces, total_faces)
|
||||
|
||||
else:
|
||||
self.total_faces = None
|
||||
self.faces = []
|
||||
self._matched = {}
|
||||
|
||||
def teach(self, name, file_path):
|
||||
"""Teach classifier a face name."""
|
||||
if (not self.hass.config.is_allowed_path(file_path)
|
||||
or not valid_file_path(file_path)):
|
||||
return
|
||||
with open(file_path, 'rb') as open_file:
|
||||
response = requests.post(
|
||||
self._url_teach,
|
||||
data={ATTR_NAME: name, 'id': file_path},
|
||||
files={'file': open_file})
|
||||
|
||||
if response.status_code == 200:
|
||||
self.hass.bus.fire(
|
||||
EVENT_CLASSIFIER_TEACH, {
|
||||
ATTR_CLASSIFIER: CLASSIFIER,
|
||||
ATTR_NAME: name,
|
||||
FILE_PATH: file_path,
|
||||
'success': True,
|
||||
'message': None
|
||||
})
|
||||
|
||||
elif response.status_code == 400:
|
||||
_LOGGER.warning(
|
||||
"%s teaching of file %s failed with message:%s",
|
||||
CLASSIFIER, file_path, response.text)
|
||||
self.hass.bus.fire(
|
||||
EVENT_CLASSIFIER_TEACH, {
|
||||
ATTR_CLASSIFIER: CLASSIFIER,
|
||||
ATTR_NAME: name,
|
||||
FILE_PATH: file_path,
|
||||
'success': False,
|
||||
'message': response.text
|
||||
})
|
||||
|
||||
@property
|
||||
def camera_entity(self):
|
||||
"""Return camera entity id from process pictures."""
|
||||
|
|
@ -131,4 +217,5 @@ class FaceClassifyEntity(ImageProcessingFaceEntity):
|
|||
"""Return the classifier attributes."""
|
||||
return {
|
||||
'matched_faces': self._matched,
|
||||
'total_matched_faces': len(self._matched),
|
||||
}
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue