Beispiel #1
0
def main():
    global sensor
    sensor = Sensor()
    try:
        sensor.connect()
    except:
        print("Error connecting to sensor")
        raise
        return

    #cv.namedWindow("Threshold", cv.WINDOW_AUTOSIZE);
    cv.namedWindow("Contours", cv.WINDOW_AUTOSIZE);
    nfunc = np.vectorize(normalize)
    images = get_next_image()
    baseline_frame = images[-1]
    baseline = baseline_frame['image']
    width = baseline_frame['cols']
    height = baseline_frame['rows']
    while 1:
        images = get_next_image();
        frame = images[-1]
        pixels = np.array(frame['image'])
        pixels_zeroed = np.subtract(baseline, pixels);
        min = np.amin(pixels_zeroed)
        max = np.amax(pixels_zeroed)
        pixels_normalized = nfunc(pixels_zeroed, min, max)
        large = sp.ndimage.zoom(pixels_normalized, 10, order=1)
        large = large.astype(np.uint8);
        large = cv.medianBlur(large,7)
        #large = cv.GaussianBlur(large,(7,7),0)
        #stuff, blobs = cv.threshold(large,150,255,cv.THRESH_BINARY)
        stuff, blobs = cv.threshold(large,160,255,cv.THRESH_BINARY+cv.THRESH_OTSU)
        contours, hierarchy = cv.findContours(blobs, cv.RETR_EXTERNAL, cv.CHAIN_APPROX_SIMPLE)
        out = np.zeros((height*10,width*10,3), np.uint8)
        cv.drawContours(out,contours,-1,(255,255,0),3)

        regions_found = len(contours)

        contours = np.vstack(contours).squeeze()
        rect = cv.minAreaRect(contours)
        box = cv.cv.BoxPoints(rect)
        box = np.int0(box)
        cv.drawContours(out,[box],0,(0,255,255),2)

        #cv.imshow("Threshold", blobs);
        cv.imshow("Contours", out)
        cv.waitKey(1)

        x = rect[0][0]
        y = rect[0][1]
        angle = rect[2];

        if(regions_found < 10):
            send(x, y, angle)

        time.sleep(0.4)

    sensor.close()
    print "Done. Everything cleaned up."
Beispiel #2
0
def sensor_data():
    sensor = Sensor.connect(device)
    data = Sensor.read(sensor)
    payload = {
        'time_local': datetime.datetime.now().isoformat(),
        'pm_2_5': Sensor.to_pm_2_5(data),
        'pm_10': Sensor.to_pm_10(data)
    }
    return jsonify(payload)
Beispiel #3
0
from sense_hat import SenseHat
import time
import json
from azure.iot.device import IoTHubDeviceClient, Message
import configparser
from sensor import Sensor

config = configparser.ConfigParser()
config.read('config.ini')
conn = config['iot_conn']['conn']

sensor = Sensor(conn)
sensor.connect()
sensor.setData('temperature')

i = 0
while i <= 10:
    sensor.showMessage()
    sensor.sendMessage()
    time.sleep(10)
    i += 1