- 必须升级固件，现在是4.6.20
- 运行这个代码：
# 本作品采用MIT许可证授权。
# 版权所有 (c) 2013-2023 OpenMV LLC。保留所有权利。
# https://github.com/openmv/openmv/blob/master/LICENSE
#
# Lepton 获取物体温度示例
#
# This example shows off how to get an object's temperature using color tracking.
# By turning the AGC off and setting a max and min temperature range you can make the lepton into
# a great sensor for seeing objects of a particular temperature. That said, the FLIR lepton is a
# microblobometer and not a thermophile. So, it needs to re-calibrate itself often (which is called
# flat-field-correction - FFC). Additionally, microblobmeter devices require pprocessing support
# onboard to deal with the effects of temperature drift which is called radiometry support.
# FLIR Lepton Shutter Note: FLIR Leptons with radiometry and a shutter will pause the video often
# as they heatup to re-calibrate. This will happen less and less often as the sensor temperature
# stabilizes. You can force the re-calibration to not happen if you need to via the lepton API.
# However, it is not recommended because the image will degrade overtime.
# 如果您使用的LEPTON不是Lepton 3.5，此脚本可能无法完美运行，因为其他
# 其他lepton没有辐射测量支持，或者它们的校准过程不够频繁
# 以应对温度变化（FLIR 2.5）。
import sensor
import time
import image
# 颜色跟踪阈值（灰度最小值，灰度最大值）
threshold_list = [(200, 255)]
# 在此设置目标温度范围
min_temp_in_celsius = 20.0
max_temp_in_celsius = 40.0
print("Resetting Lepton...")
# 这些设置在重置时应用
sensor.reset()
sensor.ioctl(sensor.IOCTL_LEPTON_SET_MODE, True)
sensor.ioctl(
sensor.IOCTL_LEPTON_SET_RANGE, min_temp_in_celsius, max_temp_in_celsius
)
print(
"Lepton Res (%dx%d)"
% (
sensor.ioctl(sensor.IOCTL_LEPTON_GET_WIDTH),
sensor.ioctl(sensor.IOCTL_LEPTON_GET_HEIGHT),
)
)
print(
"Radiometry Available: "
+ ("Yes" if sensor.ioctl(sensor.IOCTL_LEPTON_GET_RADIOMETRY) else "No")
)
sensor.set_pixformat(sensor.GRAYSCALE)
sensor.set_framesize(sensor.QQVGA)
sensor.skip_frames(time=5000)
clock = time.clock()
# 只有像素数超过“pixel_threshold”且面积超过“area_threshold”的blob才会被
# “find_blobs”返回。如果更改了“pixels_threshold”和“area_threshold”，请进行相应调整。
# 相机分辨率。"merge=True" 合并图像中所有重叠的斑点。
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
)
# 将统计信息收集到元组列表中
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) # 为其上色
# 在彩色图像上绘制内容
for blob in blobs:
img.draw_rectangle(blob.rect())
img.draw_cross(blob.cx(), blob.cy())
for blob_stat in blob_stats:
img.draw_string(
blob_stat[0], blob_stat[1] - 10, "%.2f C" % blob_stat[2], mono_space=False
)
print(
"FPS %f - Lepton Temp: %f C"
% (clock.fps(), sensor.ioctl(sensor.IOCTL_LEPTON_GET_FPA_TEMP))
)
