找出基于树莓派csi摄像头实时仓库谷物计数和仓库温湿度和烟雾检测系统的代码

以下是基于树莓派CSI摄像头实时仓库谷物计数和仓库温湿度和烟雾检测系统的代码示例：

1. 谷物计数代码：

import cv2
import numpy as np

# 设置阈值
threshold_value = 200


# 定义阈值回调函数
def threshold_callback():
    # 读取图像
    src = cv2.imread("grain.jpg")

    # 灰度化
    gray = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY)

    # 二值化
    ret, binary = cv2.threshold(gray, threshold_value, 255, cv2.THRESH_BINARY)

    # 寻找轮廓
    contours, hierarchy = cv2.findContours(binary, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)

    # 绘制轮廓
    drawing = np.zeros(src.shape, dtype=np.uint8)
    for i in range(len(contours)):
        color = (0, 255, 0)
        cv2.drawContours(drawing, contours, i, color, 1, cv2.LINE_8, hierarchy, 0)

    # 计算谷物数量
    count = len(contours)
    print("Grain count:", count)

    # 显示结果
    cv2.imshow("Grain Count", drawing)
    cv2.waitKey()


# 调用阈值回调函数
threshold_callback()

2. 温湿度检测代码：

import Adafruit_DHT

# 设置传感器类型和引脚号
sensor = Adafruit_DHT.DHT11
pin = 4

# 读取温湿度数据
humidity, temperature = Adafruit_DHT.read_retry(sensor, pin)

# 打印结果
if humidity is not None and temperature is not None:
    print('Temperature: {0:0.1f} C  Humidity: {1:0.1f} %'.format(temperature, humidity))
else:
    print('Failed to read data from DHT11 sensor')

3. 烟雾检测代码：

import RPi.GPIO as GPIO
import time

# 设置GPIO引脚号
GPIO.setmode(GPIO.BOARD)
GPIO.setup(11, GPIO.IN)

# 检测烟雾
while True:
    if GPIO.input(11) == GPIO.HIGH:
        print("Smoke detected!")
    else:
        print("No smoke detected.")
    time.sleep(1)

请注意，这些代码只是示例代码，需要根据实际情况进行修改和适配。此外，还需要添加适当的硬件设备和传感器才能使这些代码正常工作。