# Initialize the thermal sensor
fir.init()
# FPS clock
clock = time.clock()
while (True):
clock.tick()
# Capture an image
image = sensor.snapshot()
# Capture FIR data
# ta: Ambient temperature
# ir: Object temperatures (IR array)
# to_min: Minimum object temperature
# to_max: Maximum object temperature
ta, ir, to_min, to_max = fir.read_ir()
# Scale the image and belnd it with the framebuffer
fir.draw_ir(image, ir)
# Draw ambient, min and max temperatures.
image.draw_string(0, 0, "Ta: %0.2f"%ta, color = (0xFF, 0x00, 0x00))
image.draw_string(0, 8, "To min: %0.2f"%to_min, color = (0xFF, 0x00, 0x00))
image.draw_string(0, 16, "To max: %0.2f"%to_max, color = (0xFF, 0x00, 0x00))
# Print FPS.
print(clock.fps())
# Capture an image
img = sensor.snapshot()
# Capture FIR data
# ta: Ambient temperature
# ir: Object temperatures (IR array)
# to_min: Minimum object temperature
# to_max: Maximum object temperature
try:
ta, ir, to_min, to_max = fir.read_ir()
except OSError:
continue
if not ALT_OVERLAY:
# Scale the image and belnd it with the framebuffer
fir.draw_ir(img, ir, hint=drawing_hint)
else:
# Create a secondary image and then blend into the frame buffer.
extra_fb.clear()
fir.draw_ir(extra_fb, ir, alpha=256, hint=drawing_hint)
img.blend(extra_fb, alpha=128)
# Draw ambient, min and max temperatures.
img.draw_string(8,
0,
"Ta: %0.2f C" % ta,
color=(255, 0, 0),
mono_space=False)
img.draw_string(8,
8,
"To min: %0.2f C" % to_min,
while (True):
clock.tick()
# Capture an image
img = sensor.snapshot()
# Capture FIR data
# ta: Ambient temperature
# ir: Object temperatures (IR array)
# to_min: Minimum object temperature
# to_max: Maximum object temperature
ta, ir, to_min, to_max = fir.read_ir()
if not ALT_OVERLAY:
# Scale the image and belnd it with the framebuffer
fir.draw_ir(img, ir)
else:
# Create a secondary image and then blend into the frame buffer.
extra_fb.clear()
fir.draw_ir(extra_fb, ir, alpha=256)
img.blend(extra_fb, alpha=128)
# Draw ambient, min and max temperatures.
img.draw_string(8, 0, "Ta: %0.2f C" % ta, color = (255, 0, 0), mono_space = False)
img.draw_string(8, 8, "To min: %0.2f C" % to_min, color = (255, 0, 0), mono_space = False)
img.draw_string(8, 16, "To max: %0.2f C"% to_max, color = (255, 0, 0), mono_space = False)
# Force high quality streaming...
img.compress(quality=90)
# Print FPS.
# FPS clock
clock = time.clock()
while (True):
clock.tick()
# Capture an image
image = sensor.snapshot()
# Capture FIR data
# ta: Ambient temperature
# ir: Object temperatures (IR array)
# to_min: Minimum object temperature
# to_max: Maximum object temperature
ta, ir, to_min, to_max = fir.read_ir()
# Scale the image and belnd it with the framebuffer
fir.draw_ir(image, ir)
# Draw ambient, min and max temperatures.
image.draw_string(0, 0, "Ta: %0.2f" % ta, color=(0xFF, 0x00, 0x00))
image.draw_string(0, 8, "To min: %0.2f" % to_min, color=(0xFF, 0x00, 0x00))
image.draw_string(0,
16,
"To max: %0.2f" % to_max,
color=(0xFF, 0x00, 0x00))
# Print FPS.
print(clock.fps())
while (True):
clock.tick()
# Capture an image
img = sensor.snapshot()
# Capture FIR data
# ta: Ambient temperature
# ir: Object temperatures (IR array)
# to_min: Minimum object temperature
# to_max: Maximum object temperature
ta, ir, to_min, to_max = fir.read_ir()
if not ALT_OVERLAY:
# Scale the image and belnd it with the framebuffer
fir.draw_ir(img, ir)
else:
# Create a secondary image and then blend into the frame buffer.
extra_fb.clear()
fir.draw_ir(extra_fb, ir, alpha=256)
img.blend(extra_fb, alpha=128)
# Draw ambient, min and max temperatures.
img.draw_string(8, 0, "Ta: %0.2f C" % ta, color = (255, 0, 0), mono_space = False)
img.draw_string(8, 8, "To min: %0.2f C" % to_min, color = (255, 0, 0), mono_space = False)
img.draw_string(8, 16, "To max: %0.2f C"% to_max, color = (255, 0, 0), mono_space = False)
# Force high quality streaming...
img.compress(quality=90)
# Print FPS.
"Auto algorithms done. Hold the object you want to track in front of the camera in the box."
)
print(
"MAKE SURE THE COLOR OF THE OBJECT YOU WANT TO TRACK IS FULLY ENCLOSED BY THE BOX!"
)
for i in range(60):
img = sensor.snapshot()
img.draw_rectangle(r)
print("Learning thresholds...")
threshold = [50, 50, 0, 0, 0, 0] # Middle L, A, B values.
for i in range(learn_count):
img = sensor.snapshot()
ta, ir, to_min, to_max = fir.read_ir()
fir.draw_ir(img, ir, alpha=256, scale=fir_scale)
hist = img.get_histogram(roi=r)
lo = hist.get_percentile(
0.01
) # Get the CDF of the histogram at the 1% range (ADJUST AS NECESSARY)!
hi = hist.get_percentile(
0.99
) # Get the CDF of the histogram at the 99% range (ADJUST AS NECESSARY)!
# Average in percentile values.
threshold[0] = (threshold[0] + lo.l_value()) // 2
threshold[1] = (threshold[1] + hi.l_value()) // 2
threshold[2] = (threshold[2] + lo.a_value()) // 2
threshold[3] = (threshold[3] + hi.a_value()) // 2
threshold[4] = (threshold[4] + lo.b_value()) // 2
threshold[5] = (threshold[5] + hi.b_value()) // 2
clock.tick()
# Capture an image
img = sensor.snapshot()
# Capture FIR data
# ta: Ambient temperature
# ir: Object temperatures (IR array)
# to_min: Minimum object temperature
# to_max: Maximum object temperature
ta, ir, to_min, to_max = fir.read_ir()
# Create a secondary image and then blend into the frame buffer.
# Convert FIR data to a grayscale image and scale
fir.draw_ir(ir_buffer, ir, alpha=256)
# Smooth the scaled image
ir_buffer.mean(IR_SCALE - 1)
# Convert the grayscale FIR image to color using a palette and combine with camera image
img.draw_image(ir_buffer,
0,
0,
x_scale=x_scale,
y_scale=y_scale,
alpha=128,
color_palette=sensor.PALETTE_IRONBOW)
# Draw ambient, min and max temperatures.
img.draw_string(8,
