141 lines
4.1 KiB
Python
141 lines
4.1 KiB
Python
"""Optical character recognition processing of seven segments displays."""
|
|
import logging
|
|
import io
|
|
import os
|
|
|
|
import voluptuous as vol
|
|
|
|
import homeassistant.helpers.config_validation as cv
|
|
from homeassistant.core import split_entity_id
|
|
from homeassistant.components.image_processing import (
|
|
PLATFORM_SCHEMA,
|
|
ImageProcessingEntity,
|
|
CONF_SOURCE,
|
|
CONF_ENTITY_ID,
|
|
CONF_NAME,
|
|
)
|
|
|
|
_LOGGER = logging.getLogger(__name__)
|
|
|
|
CONF_DIGITS = "digits"
|
|
CONF_EXTRA_ARGUMENTS = "extra_arguments"
|
|
CONF_HEIGHT = "height"
|
|
CONF_ROTATE = "rotate"
|
|
CONF_SSOCR_BIN = "ssocr_bin"
|
|
CONF_THRESHOLD = "threshold"
|
|
CONF_WIDTH = "width"
|
|
CONF_X_POS = "x_position"
|
|
CONF_Y_POS = "y_position"
|
|
|
|
DEFAULT_BINARY = "ssocr"
|
|
|
|
PLATFORM_SCHEMA = PLATFORM_SCHEMA.extend(
|
|
{
|
|
vol.Optional(CONF_EXTRA_ARGUMENTS, default=""): cv.string,
|
|
vol.Optional(CONF_DIGITS): cv.positive_int,
|
|
vol.Optional(CONF_HEIGHT, default=0): cv.positive_int,
|
|
vol.Optional(CONF_SSOCR_BIN, default=DEFAULT_BINARY): cv.string,
|
|
vol.Optional(CONF_THRESHOLD, default=0): cv.positive_int,
|
|
vol.Optional(CONF_ROTATE, default=0): cv.positive_int,
|
|
vol.Optional(CONF_WIDTH, default=0): cv.positive_int,
|
|
vol.Optional(CONF_X_POS, default=0): cv.string,
|
|
vol.Optional(CONF_Y_POS, default=0): cv.positive_int,
|
|
}
|
|
)
|
|
|
|
|
|
async def async_setup_platform(hass, config, async_add_entities, discovery_info=None):
|
|
"""Set up the Seven segments OCR platform."""
|
|
entities = []
|
|
for camera in config[CONF_SOURCE]:
|
|
entities.append(
|
|
ImageProcessingSsocr(
|
|
hass, camera[CONF_ENTITY_ID], config, camera.get(CONF_NAME)
|
|
)
|
|
)
|
|
|
|
async_add_entities(entities)
|
|
|
|
|
|
class ImageProcessingSsocr(ImageProcessingEntity):
|
|
"""Representation of the seven segments OCR image processing entity."""
|
|
|
|
def __init__(self, hass, camera_entity, config, name):
|
|
"""Initialize seven segments processing."""
|
|
self.hass = hass
|
|
self._camera_entity = camera_entity
|
|
if name:
|
|
self._name = name
|
|
else:
|
|
self._name = "SevenSegment OCR {0}".format(
|
|
split_entity_id(camera_entity)[1]
|
|
)
|
|
self._state = None
|
|
|
|
self.filepath = os.path.join(
|
|
self.hass.config.config_dir,
|
|
"ssocr-{0}.png".format(self._name.replace(" ", "_")),
|
|
)
|
|
crop = [
|
|
"crop",
|
|
str(config[CONF_X_POS]),
|
|
str(config[CONF_Y_POS]),
|
|
str(config[CONF_WIDTH]),
|
|
str(config[CONF_HEIGHT]),
|
|
]
|
|
digits = ["-d", str(config.get(CONF_DIGITS, -1))]
|
|
rotate = ["rotate", str(config[CONF_ROTATE])]
|
|
threshold = ["-t", str(config[CONF_THRESHOLD])]
|
|
extra_arguments = config[CONF_EXTRA_ARGUMENTS].split(" ")
|
|
|
|
self._command = (
|
|
[config[CONF_SSOCR_BIN]]
|
|
+ crop
|
|
+ digits
|
|
+ threshold
|
|
+ rotate
|
|
+ extra_arguments
|
|
)
|
|
self._command.append(self.filepath)
|
|
|
|
@property
|
|
def device_class(self):
|
|
"""Return the class of this device, from component DEVICE_CLASSES."""
|
|
return "ocr"
|
|
|
|
@property
|
|
def camera_entity(self):
|
|
"""Return camera entity id from process pictures."""
|
|
return self._camera_entity
|
|
|
|
@property
|
|
def name(self):
|
|
"""Return the name of the image processor."""
|
|
return self._name
|
|
|
|
@property
|
|
def state(self):
|
|
"""Return the state of the entity."""
|
|
return self._state
|
|
|
|
def process_image(self, image):
|
|
"""Process the image."""
|
|
from PIL import Image
|
|
import subprocess
|
|
|
|
stream = io.BytesIO(image)
|
|
img = Image.open(stream)
|
|
img.save(self.filepath, "png")
|
|
|
|
ocr = subprocess.Popen(
|
|
self._command, stdout=subprocess.PIPE, stderr=subprocess.PIPE
|
|
)
|
|
out = ocr.communicate()
|
|
if out[0] != b"":
|
|
self._state = out[0].strip().decode("utf-8")
|
|
else:
|
|
self._state = None
|
|
_LOGGER.warning(
|
|
"Unable to detect value: %s", out[1].strip().decode("utf-8")
|
|
)
|