FR: Add a list of names to the integration

[DivanX10]

I made corrections to the code and got the output of names in one line. Please add this code to your integration and if you see that you need to fix it, fix it. I'm not a programmer, I just read python literature and tried to implement it, so I'm sorry for my mistakes. Внес исправления в код и получил вывод имен в одну строку. Добавьте пожалуйста этот код в свою интеграцию и если увидите, что нужно исправить - исправьте. Я не программист, просто читал литературу питона и попробовал это реализовать, так что простите за мои ошибки.

def get_valid_filename(name: str) -> str:
    return re.sub(r"(?u)[^-\w.]", "", str(name).strip().replace(" ", "_"))


def get_faces(predictions: list, img_width: int, img_height: int):
    """Return faces with formatting for annotating images."""

    faces = []
    names_list = []
    decimal_places = 3
    for pred in predictions:
        if not "userid" in pred.keys():
            name = "unknown"
        else:
            name = pred["userid"]
        confidence = round(pred["confidence"] * 100, decimal_places)
        box_width = pred["x_max"] - pred["x_min"]
        box_height = pred["y_max"] - pred["y_min"]
        box = {
            "height": round(box_height / img_height, decimal_places),
            "width": round(box_width / img_width, decimal_places),
            "y_min": round(pred["y_min"] / img_height, decimal_places),
            "x_min": round(pred["x_min"] / img_width, decimal_places),
            "y_max": round(pred["y_max"] / img_height, decimal_places),
            "x_max": round(pred["x_max"] / img_width, decimal_places),
        }
        faces.append(
            {"name": name, "confidence": confidence, "bounding_box": box, "prediction": pred}
        )
        if name == 'Valentina' or name == 'valentina':
            name = 'Валентина'
        elif name == 'Svetlana' or name == 'svetlana':
            name = 'Светлана'
        elif name == 'Aleksandr' or name == 'aleksandr':
            name = 'Александр'
        elif name == 'Oleg' or name == 'oleg':
            name = 'Олег'
        elif name == 'Artem' or name == 'artem':
            name = 'Артем'
        elif name == 'Igor' or name == 'igor':
            name = 'Игорь'
        names_list.append(name)
    faces[0]['bounding_box']['names'] = ', '.join(names_list)
    return faces


def setup_platform(hass, config, add_devices, discovery_info=None):
    """Set up the classifier."""
    if DATA_DEEPSTACK not in hass.data:
        hass.data[DATA_DEEPSTACK] = []

Output the sensor Выводим сенсор

# The sensor displays the name of the identified person
# Сенсор отображает имя опознанного лица
     identified_person:
        friendly_name: 'Name of the identified person'
        value_template: >
            {{ states.image_processing.detect_face_smartphone_camera.attributes.faces[0].bounding_box.names }}

[robmarkcole]

Could do this with targets like in https://github.com/robmarkcole/HASS-Deepstack-object but in general this should be handled in downstream automations IMO. Will leave as a FR in case anyone wants to make a PR