红外热成像测试

ir (3).jpg
微信图片_20210718135025.jpg
微信图片_20210718135017.jpg

  # SPDX-FileCopyrightText: 2021 ladyada for Adafruit Industries
# SPDX-License-Identifier: MIT

"""This example is for Raspberry Pi (Linux) only!
   It will not work on microcontrollers running CircuitPython!"""

import math
from PIL import Image
import board
import adafruit_mlx90640

FILENAME = "mlx.jpg"

MINTEMP = 25.0  # low range of the sensor (deg C)
MAXTEMP = 45.0  # high range of the sensor (deg C)
COLORDEPTH = 1000  # how many color values we can have
INTERPOLATE = 10  # scale factor for final image

mlx = adafruit_mlx90640.MLX90640(board.I2C())

# the list of colors we can choose from
heatmap = (
    (0.0, (0, 0, 0)),
    (0.20, (0, 0, 0.5)),
    (0.40, (0, 0.5, 0)),
    (0.60, (0.5, 0, 0)),
    (0.80, (0.75, 0.75, 0)),
    (0.90, (1.0, 0.75, 0)),
    (1.00, (1.0, 1.0, 1.0)),
)

colormap = [0] * COLORDEPTH

# some utility functions
def constrain(val, min_val, max_val):
    return min(max_val, max(min_val, val))


def map_value(x, in_min, in_max, out_min, out_max):
    return (x - in_min) * (out_max - out_min) / (in_max - in_min) + out_min


def gaussian(x, a, b, c, d=0):
    return a * math.exp(-((x - b) ** 2) / (2 * c ** 2)) + d


def gradient(x, width, cmap, spread=1):
    width = float(width)
    r = sum(
        [gaussian(x, p[1][0], p[0] * width, width / (spread * len(cmap))) for p in cmap]
    )
    g = sum(
        [gaussian(x, p[1][1], p[0] * width, width / (spread * len(cmap))) for p in cmap]
    )
    b = sum(
        [gaussian(x, p[1][2], p[0] * width, width / (spread * len(cmap))) for p in cmap]
    )
    r = int(constrain(r * 255, 0, 255))
    g = int(constrain(g * 255, 0, 255))
    b = int(constrain(b * 255, 0, 255))
    return r, g, b


for i in range(COLORDEPTH):
    colormap[i] = gradient(i, COLORDEPTH, heatmap)

# get sensor data
frame = [0] * 768
success = False
while not success:
    try:
        mlx.getFrame(frame)
        success = True
    except ValueError:
        continue

# create the image
pixels = [0] * 768
for i, pixel in enumerate(frame):
    coloridx = map_value(pixel, MINTEMP, MAXTEMP, 0, COLORDEPTH - 1)
    coloridx = int(constrain(coloridx, 0, COLORDEPTH - 1))
    pixels[i] = colormap[coloridx]
    print(pixels[i])

# save to file
img = Image.new("RGB", (32, 24))
img.putdata(pixels)
img = img.transpose(Image.FLIP_TOP_BOTTOM)
img = img.resize((32 * INTERPOLATE, 24 * INTERPOLATE), Image.BICUBIC)
img.save("ir.jpg")

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