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61 lines
2.9 KiB
Python
61 lines
2.9 KiB
Python
# Lepton Get Object Temp Example
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#
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# This example shows off how to get an object's temperature using color tracking.
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# By turning the AGC off and setting a max and min temperature range you can make the lepton into
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# a great sensor for seeing objects of a particular temperature. That said, the FLIR lepton is a
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# microblobometer and not a thermophile. So, it needs to re-calibrate itself often (which is called
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# flat-field-correction - FFC). Additionally, microblobmeter devices require pprocessing support
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# onboard to deal with the effects of temperature drift which is called radiometry support.
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# FLIR Lepton Shutter Note: FLIR Leptons with radiometry and a shutter will pause the video often
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# as they heatup to re-calibrate. This will happen less and less often as the sensor temperature
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# stablizes. You can force the re-calibration to not happen if you need to via the lepton API.
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# However, it is not recommended because the image will degrade overtime.
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# If you are using a LEPTON other than the Lepton 3.5 this script may not work perfectly as other
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# leptons don't have radiometry support or they don't activate their calibration process often
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# enough to deal with temperature changes (FLIR 2.5).
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import sensor, image, time, math, lcd
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# Color Tracking Thresholds (Grayscale Min, Grayscale Max)
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threshold_list = [(200, 255)]
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# Set the target temp range here
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min_temp_in_celsius = 20.0
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max_temp_in_celsius = 35.0
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print("Resetting Lepton...")
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# These settings are applied on reset
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sensor.reset()
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sensor.ioctl(sensor.IOCTL_LEPTON_SET_MEASUREMENT_MODE, True)
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sensor.ioctl(sensor.IOCTL_LEPTON_SET_MEASUREMENT_RANGE, min_temp_in_celsius, max_temp_in_celsius)
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print("Lepton Res (%dx%d)" % (sensor.ioctl(sensor.IOCTL_LEPTON_GET_WIDTH),
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sensor.ioctl(sensor.IOCTL_LEPTON_GET_HEIGHT)))
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print("Radiometry Available: " + ("Yes" if sensor.ioctl(sensor.IOCTL_LEPTON_GET_RADIOMETRY) else "No"))
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sensor.set_pixformat(sensor.GRAYSCALE)
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sensor.set_framesize(sensor.LCD)
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sensor.skip_frames(time=5000)
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clock = time.clock()
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lcd.init()
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# Only blobs that with more pixels than "pixel_threshold" and more area than "area_threshold" are
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# returned by "find_blobs" below. Change "pixels_threshold" and "area_threshold" if you change the
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# camera resolution. "merge=True" merges all overlapping blobs in the image.
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def map_g_to_temp(g):
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return ((g * (max_temp_in_celsius - min_temp_in_celsius)) / 255.0) + min_temp_in_celsius
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while(True):
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clock.tick()
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img = sensor.snapshot()
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for blob in img.find_blobs(threshold_list, pixels_threshold=200, area_threshold=200, merge=True):
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stats = img.get_statistics(thresholds=threshold_list, roi=blob.rect())
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img.draw_rectangle(blob.rect())
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img.draw_cross(blob.cx(), blob.cy())
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img.draw_string(blob.x(), blob.y() - 10, "%.2f C" % map_g_to_temp(stats.mean()), mono_space=False)
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lcd.display(img)
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print("FPS %f - Lepton Temp: %f C" % (clock.fps(), sensor.ioctl(sensor.IOCTL_LEPTON_GET_FPA_TEMPERATURE)))
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