227 lines
5.9 KiB
Python
227 lines
5.9 KiB
Python
"""Component that will help set the OpenALPR local for ALPR processing."""
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from __future__ import annotations
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import asyncio
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import io
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import re
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import voluptuous as vol
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from homeassistant.components.image_processing import (
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ATTR_CONFIDENCE,
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CONF_CONFIDENCE,
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PLATFORM_SCHEMA,
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ImageProcessingEntity,
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)
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from homeassistant.const import (
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ATTR_ENTITY_ID,
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CONF_ENTITY_ID,
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CONF_NAME,
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CONF_REGION,
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CONF_SOURCE,
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)
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from homeassistant.core import HomeAssistant, callback, split_entity_id
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import homeassistant.helpers.config_validation as cv
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from homeassistant.helpers.entity_platform import AddEntitiesCallback
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from homeassistant.helpers.typing import ConfigType, DiscoveryInfoType
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from homeassistant.util.async_ import run_callback_threadsafe
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RE_ALPR_PLATE = re.compile(r"^plate\d*:")
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RE_ALPR_RESULT = re.compile(r"- (\w*)\s*confidence: (\d*.\d*)")
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EVENT_FOUND_PLATE = "image_processing.found_plate"
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ATTR_PLATE = "plate"
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ATTR_PLATES = "plates"
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ATTR_VEHICLES = "vehicles"
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OPENALPR_REGIONS = [
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"au",
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"auwide",
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"br",
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"eu",
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"fr",
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"gb",
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"kr",
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"kr2",
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"mx",
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"sg",
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"us",
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"vn2",
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]
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CONF_ALPR_BIN = "alpr_bin"
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DEFAULT_BINARY = "alpr"
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PLATFORM_SCHEMA = PLATFORM_SCHEMA.extend(
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{
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vol.Required(CONF_REGION): vol.All(vol.Lower, vol.In(OPENALPR_REGIONS)),
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vol.Optional(CONF_ALPR_BIN, default=DEFAULT_BINARY): cv.string,
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}
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)
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async def async_setup_platform(
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hass: HomeAssistant,
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config: ConfigType,
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async_add_entities: AddEntitiesCallback,
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discovery_info: DiscoveryInfoType | None = None,
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) -> None:
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"""Set up the OpenALPR local platform."""
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command = [config[CONF_ALPR_BIN], "-c", config[CONF_REGION], "-"]
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confidence = config[CONF_CONFIDENCE]
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entities = []
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for camera in config[CONF_SOURCE]:
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entities.append(
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OpenAlprLocalEntity(
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camera[CONF_ENTITY_ID], command, confidence, camera.get(CONF_NAME)
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)
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)
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async_add_entities(entities)
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class ImageProcessingAlprEntity(ImageProcessingEntity):
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"""Base entity class for ALPR image processing."""
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def __init__(self):
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"""Initialize base ALPR entity."""
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self.plates = {}
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self.vehicles = 0
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@property
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def state(self):
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"""Return the state of the entity."""
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confidence = 0
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plate = None
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# search high plate
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for i_pl, i_co in self.plates.items():
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if i_co > confidence:
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confidence = i_co
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plate = i_pl
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return plate
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@property
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def device_class(self):
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"""Return the class of this device, from component DEVICE_CLASSES."""
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return "alpr"
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@property
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def extra_state_attributes(self):
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"""Return device specific state attributes."""
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return {ATTR_PLATES: self.plates, ATTR_VEHICLES: self.vehicles}
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def process_plates(self, plates, vehicles):
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"""Send event with new plates and store data."""
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run_callback_threadsafe(
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self.hass.loop, self.async_process_plates, plates, vehicles
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).result()
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@callback
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def async_process_plates(self, plates, vehicles):
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"""Send event with new plates and store data.
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plates are a dict in follow format:
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{ 'plate': confidence }
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This method must be run in the event loop.
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"""
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plates = {
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plate: confidence
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for plate, confidence in plates.items()
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if confidence >= self.confidence
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}
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new_plates = set(plates) - set(self.plates)
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# Send events
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for i_plate in new_plates:
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self.hass.async_add_job(
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self.hass.bus.async_fire,
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EVENT_FOUND_PLATE,
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{
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ATTR_PLATE: i_plate,
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ATTR_ENTITY_ID: self.entity_id,
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ATTR_CONFIDENCE: plates.get(i_plate),
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},
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)
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# Update entity store
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self.plates = plates
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self.vehicles = vehicles
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class OpenAlprLocalEntity(ImageProcessingAlprEntity):
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"""OpenALPR local api entity."""
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def __init__(self, camera_entity, command, confidence, name=None):
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"""Initialize OpenALPR local API."""
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super().__init__()
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self._cmd = command
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self._camera = camera_entity
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self._confidence = confidence
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if name:
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self._name = name
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else:
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self._name = f"OpenAlpr {split_entity_id(camera_entity)[1]}"
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@property
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def confidence(self):
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"""Return minimum confidence for send events."""
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return self._confidence
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@property
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def camera_entity(self):
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"""Return camera entity id from process pictures."""
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return self._camera
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@property
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def name(self):
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"""Return the name of the entity."""
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return self._name
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async def async_process_image(self, image):
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"""Process image.
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This method is a coroutine.
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"""
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result = {}
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vehicles = 0
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alpr = await asyncio.create_subprocess_exec(
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*self._cmd,
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stdin=asyncio.subprocess.PIPE,
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stdout=asyncio.subprocess.PIPE,
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stderr=asyncio.subprocess.DEVNULL,
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)
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# Send image
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stdout, _ = await alpr.communicate(input=image)
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stdout = io.StringIO(str(stdout, "utf-8"))
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while True:
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line = stdout.readline()
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if not line:
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break
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new_plates = RE_ALPR_PLATE.search(line)
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new_result = RE_ALPR_RESULT.search(line)
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# Found new vehicle
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if new_plates:
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vehicles += 1
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continue
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# Found plate result
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if new_result:
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try:
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result.update({new_result.group(1): float(new_result.group(2))})
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except ValueError:
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continue
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self.async_process_plates(result, vehicles)
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