frigate/dayglo_detector/dayglo_detector.py

import os
import time
import paho.mqtt.client as mqtt
import numpy as np
import cv2
import base64
import json
import tempfile
import sys

# Configuration
MQTT_BROKER = os.environ.get('MQTT_BROKER', '10.59.221.172')
MQTT_PORT = int(os.environ.get('MQTT_PORT', '1883'))
MQTT_USERNAME = os.getenv('MQTT_USERNAME', 'your_username')
MQTT_PASSWORD = os.getenv('MQTT_PASSWORD', 'your_password')
MQTT_SNAPSHOT_TOPIC = "/frigate/patiocam/person/snapshot"
MQTT_TOPIC_PUBLISH = "homeassistant/sensor/dayglo_rating/state"
DISCOVERY_PREFIX = "homeassistant"

# Default rating
last_rating = 0

# Default color thresholds for dayglo detection
LOWER_COLOR_GREEN = np.array([40, 70, 70])
UPPER_COLOR_GREEN = np.array([90, 255, 255])
LOWER_COLOR_YELLOW = np.array([20, 100, 100])
UPPER_COLOR_YELLOW = np.array([35, 255, 255])

# Track if the initial snapshot has been processed
initial_snapshot_processed = False

def on_connect(client, userdata, flags, reasonCode, properties=None):
    try:
        if reasonCode == 0:
            print("Connected successfully to MQTT broker")
            client.subscribe(MQTT_SNAPSHOT_TOPIC, qos=1)
            print(f"Subscribed to topic: {MQTT_SNAPSHOT_TOPIC}")
            publish_discovery_configurations()
            # Publish initial rating of 0
            publish_rating(0)
        else:
            print(f"Failed to connect, return code {reasonCode}")
    except Exception as e:
        print(f"Caught exception in on_connect: {e}")

def publish_discovery_configurations():
    rating_config = {
        "name": "Dayglo Rating",
        "state_topic": MQTT_TOPIC_PUBLISH,
        "unit_of_measurement": "%",
        "value_template": "{{ value_json.rating }}",
        "icon": "mdi:brush",
        "unique_id": "mqtt_dayglo_rating"
    }
    client.publish(f"{DISCOVERY_PREFIX}/sensor/dayglo_rating/config", json.dumps(rating_config), retain=True)

def publish_rating(rating):
    global last_rating
    last_rating = rating
    client.publish(MQTT_TOPIC_PUBLISH, json.dumps({"rating": rating}))

def on_message(client, userdata, msg):
    global initial_snapshot_processed
    if msg.topic == MQTT_SNAPSHOT_TOPIC:
        print("Snapshot received")
        if len(msg.payload) == 0:
            print("Received an empty payload, skipping processing.")
        else:
            print(f"Payload length: {len(msg.payload)} bytes")
            print(f"Payload (first 100 bytes): {msg.payload[:100]}...")
            process_snapshot(msg.payload)
            initial_snapshot_processed = True

def process_snapshot(payload):
    if not payload:
        print("Empty payload received, skipping processing.")
        return

    print("Processing snapshot...")
    try:
        image_data = base64.b64decode(payload)
        with tempfile.NamedTemporaryFile(suffix=".jpg", delete=False) as temp_image_file:
            temp_image_file.write(image_data)
            temp_image_path = temp_image_file.name

        # Attempt to read the saved image with OpenCV
        image = cv2.imread(temp_image_path)

        if image is not None:
            rating = calculate_dayglo_rating(image)
            print("Dayglo Rating calculated:", rating)
            publish_rating(rating)
        else:
            print("Invalid image format or corrupted image received")
    except Exception as e:
        print(f"Error processing snapshot: {e}")

def calculate_dayglo_rating(image):
    print("Calculating dayglo rating...")
    # Crop the image to focus on the center area
    height, width = image.shape[:2]
    crop_margin = 0.1  # 10% margin
    cropped_image = image[int(height * crop_margin):int(height * (1 - crop_margin)),
                          int(width * crop_margin):int(width * (1 - crop_margin))]

    print("Calculating dayglo rating...")
    hsv_image = cv2.cvtColor(cropped_image, cv2.COLOR_BGR2HSV)
    mask_green = cv2.inRange(hsv_image, LOWER_COLOR_GREEN, UPPER_COLOR_GREEN)
    mask_yellow = cv2.inRange(hsv_image, LOWER_COLOR_YELLOW, UPPER_COLOR_YELLOW)
    mask = cv2.bitwise_or(mask_green, mask_yellow)
    dayglo_pixels = cv2.countNonZero(mask)
    total_pixels = cropped_image.shape[0] * cropped_image.shape[1]
    rating = (dayglo_pixels / total_pixels) * 100
    return rating

def connect_mqtt():
    while True:
        try:
            client.connect(MQTT_BROKER, MQTT_PORT, keepalive=60)
            break
        except Exception as e:
            print(f"Connection failed: {e}. Retrying in 5 seconds...")
            time.sleep(5)

# Handle command line argument for image file
if len(sys.argv) > 1:
    image_file = sys.argv[1]
    if os.path.exists(image_file):
        print(f"Processing image from file: {image_file}")
        image = cv2.imread(image_file)
        if image is not None:
            rating = calculate_dayglo_rating(image)
            print("Dayglo Rating calculated from file:", rating)
        else:
            print("Invalid image file provided.")
    else:
        print(f"File not found: {image_file}")

# Set up MQTT client for normal operation
client = mqtt.Client(client_id="dayglo_detector", protocol=mqtt.MQTTv5)
client.username_pw_set(MQTT_USERNAME, MQTT_PASSWORD)
client.on_connect = on_connect
client.on_message = on_message
client.enable_logger()

connect_mqtt()
client.loop_forever()