cam/cam.py

import sensor, image, time, math
from pyb import Pin

threshold_list = [(190, 255)]

min_temp_in_celsius = 20.0
max_temp_in_celsius = 40.0

pin1 = Pin('P4', Pin.OUT_PP, Pin.PULL_NONE)

sensor.reset()
sensor.ioctl(sensor.IOCTL_LEPTON_SET_MODE, True, True)
sensor.ioctl(sensor.IOCTL_LEPTON_SET_RANGE, min_temp_in_celsius, max_temp_in_celsius)
sensor.ioctl(sensor.IOCTL_LEPTON_GET_WIDTH)
sensor.ioctl(sensor.IOCTL_LEPTON_GET_HEIGHT)
sensor.ioctl(sensor.IOCTL_LEPTON_GET_RADIOMETRY)

sensor.set_pixformat(sensor.GRAYSCALE)
sensor.set_framesize(sensor.QQVGA)
sensor.skip_frames(time=5000)

clock = time.clock()

def map_g_to_temp(g):
    return ((g * (max_temp_in_celsius - min_temp_in_celsius)) / 255.0) + min_temp_in_celsius

while(True):
    clock.tick()
    img = sensor.snapshot()
    blob_stats = []
    blobs = img.find_blobs(threshold_list, pixels_threshold=200, area_threshold=200, merge=True)
    # Collect stats into a list of tuples
    for blob in blobs:
        blob_stats.append((blob.x(), blob.y(), map_g_to_temp(img.get_statistics(thresholds=threshold_list,
                                                                                roi=blob.rect()).mean())))
    img.to_rainbow(color_palette=image.PALETTE_IRONBOW) # color it
    for blob in blobs:
        img.draw_rectangle(blob.rect(), color=(0,255,0))
        img.draw_cross(blob.cx(), blob.cy(), color=(0,255,0))
    for blob_stat in blob_stats:
        if blob_stat[2] > 38.0:
            pin1.value(1)
        img.draw_string(blob_stat[0] + 2, blob_stat[1] + 1, "%.2f C" % blob_stat[2], mono_space=False, color=(0,255,0))
    if not blob_stats:
        pin1.value(0)