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61 lines
1.5 KiB
Python
61 lines
1.5 KiB
Python
import sensor, mlx, time, lcd
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# Initialize the MLX module
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mlx.init(mlx.IR_REFRESH_64HZ)
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# Reset sensor
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sensor.reset()
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# Set sensor settings
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sensor.set_contrast(1)
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sensor.set_brightness(0)
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sensor.set_saturation(2)
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sensor.set_pixformat(sensor.RGB565)
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# Note: QQVGA2 is the LCD resolution.
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sensor.set_framesize(sensor.QQVGA2)
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# The following registers fine-tune the image
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# sensor window to align it with the FIR sensor.
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sensor.__write_reg(0xFF, 0x01) # switch to reg bank
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sensor.__write_reg(0x17, 0x1D) # set HSTART
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sensor.__write_reg(0x18, 0x47) # set HSTOP
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# Initialize LCD
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lcd = lcd.LCD()
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#lcd.clear(0x00)
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lcd.set_backlight(True)
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# FPS clock
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clock = time.clock()
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# Ambient temperature
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ta = 0.0
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# Minimum object temperature
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to_min = 0.0
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# Maximum object temperature
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to_max = 0.0
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while (True):
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clock.tick()
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# Capture an image
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image = sensor.snapshot()
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# Draw ambient, min and max temperatures.
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image.draw_string(0, 0, "Ta: %0.2f"%ta, color = (0xFF, 0x00, 0x00))
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image.draw_string(0, 8, "To min: %0.2f"%(to_min+ta), color = (0xFF, 0x00, 0x00))
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image.draw_string(0, 16, "To max: %0.2f"%(to_max+ta), color = (0xFF, 0x00, 0x00))
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# Capture an FIR image
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ta, to_min, to_max, ir = mlx.read_ir(mlx.RAINBOW, 80, 0.90)
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# Scale the image and belnd it with the framebuffer
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ir.scale((128, 32))
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image.blend(ir, (0, int(160/2-32/2), 0.6))
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# Display the image on the LCD
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lcd.write_image(image)
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# Print FPS.
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print(clock.fps())
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