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128 lines
3.6 KiB
Python
128 lines
3.6 KiB
Python
# This work is licensed under the MIT license.
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# Copyright (c) 2013-2024 OpenMV LLC. All rights reserved.
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# https://github.com/openmv/openmv/blob/master/LICENSE
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#
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# Pure Thermal Example Script
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#
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# Thanks for buying the Pure Thermal OpenMV! This example script shows
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# off thermal video overlay onto the color camera image and driving
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# the attached LCD screen and HDMI output.
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import csi
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import image
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import time
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import display
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import math
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import tfp410
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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 = 40.0
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csi0 = csi.CSI(cid=csi.OV5640)
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csi0.reset()
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csi0.pixformat(csi.RGB565)
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csi0.framesize(csi.WVGA)
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time.sleep_ms(50)
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csi1 = csi.CSI(cid=csi.LEPTON)
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csi1.reset(hard=False)
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csi1.pixformat(csi.GRAYSCALE)
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csi1.framesize(csi.QQVGA)
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# Enables exact temperature measurments from the flir lepton.
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# The second argument turns high gain mode on for high temp reading.
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csi1.ioctl(csi.IOCTL_LEPTON_SET_MODE, True, False)
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csi1.ioctl(
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csi.IOCTL_LEPTON_SET_RANGE, min_temp_in_celsius, max_temp_in_celsius
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)
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print(
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"Lepton Res (%dx%d)"
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% (
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csi1.ioctl(csi.IOCTL_LEPTON_GET_WIDTH),
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csi1.ioctl(csi.IOCTL_LEPTON_GET_HEIGHT),
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)
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)
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print(
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"Radiometry Available: "
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+ ("Yes" if csi1.ioctl(csi.IOCTL_LEPTON_GET_RADIOMETRY) else "No")
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)
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fir_img = image.Image(csi1.width(), csi1.height(), image.GRAYSCALE)
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time.sleep_ms(50)
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lcd = display.RGBDisplay(framesize=display.FWVGA, refresh=60)
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lcd.backlight(True)
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hdmi = tfp410.TFP410()
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time.sleep_ms(50)
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alpha_pal = image.Image(256, 1, image.GRAYSCALE)
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for i in range(256):
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alpha_pal[i] = int(math.pow((i / 255), 2) * 255)
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to_min = None
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to_max = None
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def map_g_to_temp(g):
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return (
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(g * (max_temp_in_celsius - min_temp_in_celsius)) / 255.0
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) + min_temp_in_celsius
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# Kickstart thermal camera capture.
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csi1.snapshot(update=False, blocking=True, image=fir_img)
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while True:
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img = csi0.snapshot()
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# Capture the thermal image without blocking.
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csi1.snapshot(update=False, blocking=False, image=fir_img)
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fir_img_size = fir_img.width() * fir_img.height()
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# Find IR Blobs
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blobs = fir_img.find_blobs(threshold_list,
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pixels_threshold=(fir_img_size // 100),
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area_threshold=(fir_img_size // 100),
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merge=True)
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# Collect stats into a list of tuples
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blob_stats = []
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for b in blobs:
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blob_stats.append(
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(b.rect(), map_g_to_temp(fir_img.get_statistics(
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thresholds=threshold_list, roi=b.rect()
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).mean()))
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)
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x_scale = img.width() / fir_img.width()
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y_scale = img.height() / fir_img.height()
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img.draw_image(fir_img, 0, 0, x_scale=x_scale, y_scale=y_scale,
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color_palette=image.PALETTE_IRONBOW,
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alpha_palette=alpha_pal,
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hint=image.BICUBIC)
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# Draw stuff on the colored image
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for b in blobs:
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img.draw_rectangle(int(b.rect()[0] * x_scale),
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int(b.rect()[1] * y_scale),
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int(b.rect()[2] * x_scale),
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int(b.rect()[3] * y_scale))
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img.draw_cross(int(b.cx() * x_scale), int(b.cy() * y_scale))
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for blob_stat in blob_stats:
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img.draw_string(int((blob_stat[0][0] * x_scale) + 4),
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int((blob_stat[0][1] * y_scale) + 1),
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'%.2f C' % blob_stat[1], mono_space=False, scale=2)
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lcd.write(img, hint=(
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image.BILINEAR | image.CENTER | image.SCALE_ASPECT_KEEP
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))
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