def facedetect():
with PiCamera() as camera, Leds() as leds:
# Configure camera
camera.resolution = (1640, 922) # Full Frame, 16:9 (Camera v2)
camera.start_preview()
leds.update(Leds.privacy_on())
# Do inference on VisionBonnet
with CameraInference(face_detection.model()) as inference:
for result in inference.run():
if len(face_detection.get_faces(result)) >= 1:
camera.capture(
'faces_' + str(datetime.datetime.now()) + '.jpg')
# print(device.is_active)
print(led.is_active)
# device.on()
# bz.on()
led.on()
print(led.is_active)
# time.sleep(1)
# print(device.is_active)
led.off()
print(led.is_active)
break
# Stop preview
camera.stop_preview()
leds.update(Leds.privacy_on())
def main():
parser = argparse.ArgumentParser(
'Image classification camera inference example.')
parser.add_argument(
'--num_frames',
'-n',
type=int,
default=None,
help='Sets the number of frames to run for, otherwise runs forever.')
parser.add_argument('--num_objects',
'-c',
type=int,
default=2,
help='Sets the number of object interences to print.')
parser.add_argument('--nopreview',
dest='preview',
action='store_false',
default=True,
help='Enable camera preview')
args = parser.parse_args()
with PiCamera(sensor_mode=4, framerate=30) as camera, \
CameraPreview(camera, enabled=args.preview), \
CameraInference(image_classification.model()) as inference, \
Leds() as leds:
leds.update(Leds.privacy_on())
for result in inference.run(args.num_frames):
classes = image_classification.get_classes(result,
top_k=args.num_objects,
threshold=.3)
print(classes_info(classes))
if classes:
#annotator.clear()
camera.annotate_text = '%s (%.2f)' % classes[0]
if 'chicken' in classes[0]:
camera.capture('chickens.jpg')
print('Chicken captured')
print('RGB: Solid CYAN for 1 second')
leds.update(Leds.rgb_on(CYAN))
time.sleep(1)
print('RGB: Solid WHITE for 1 second')
leds.update(Leds.rgb_on(WHITE))
time.sleep(1)
print('RGB: Off for 1 second')
leds.update(Leds.rgb_off())
time.sleep(1)
for _ in range(3):
print('Privacy: On (brightness=default)')
leds.update(Leds.privacy_on())
time.sleep(1)
print('Privacy: Off')
leds.update(Leds.privacy_off())
time.sleep(1)
for _ in range(3):
print('Privacy: On (brightness=5)')
leds.update(Leds.privacy_on(5))
time.sleep(1)
print('Privacy: Off')
leds.update(Leds.privacy_off())
time.sleep(1)
print('Set blink pattern: period=500ms (2Hz)')
leds.pattern = Pattern.blink(500)
def main():
with Leds() as leds:
print('RGB: Solid RED for 1 second')
leds.update(Leds.rgb_on(Color.RED))
time.sleep(1)
print('RGB: Solid GREEN for 1 second')
leds.update(Leds.rgb_on(Color.GREEN))
time.sleep(1)
print('RGB: Solid YELLOW for 1 second')
leds.update(Leds.rgb_on(Color.YELLOW))
time.sleep(1)
print('RGB: Solid BLUE for 1 second')
leds.update(Leds.rgb_on(Color.BLUE))
time.sleep(1)
print('RGB: Solid PURPLE for 1 second')
leds.update(Leds.rgb_on(Color.PURPLE))
time.sleep(1)
print('RGB: Solid CYAN for 1 second')
leds.update(Leds.rgb_on(Color.CYAN))
time.sleep(1)
print('RGB: Solid WHITE for 1 second')
leds.update(Leds.rgb_on(Color.WHITE))
time.sleep(1)
print('RGB: Off for 1 second')
leds.update(Leds.rgb_off())
time.sleep(1)
for _ in range(3):
print('Privacy: On (brightness=default)')
leds.update(Leds.privacy_on())
time.sleep(1)
print('Privacy: Off')
leds.update(Leds.privacy_off())
time.sleep(1)
for _ in range(3):
print('Privacy: On (brightness=5)')
leds.update(Leds.privacy_on(5))
time.sleep(1)
print('Privacy: Off')
leds.update(Leds.privacy_off())
time.sleep(1)
print('Set blink pattern: period=500ms (2Hz)')
leds.pattern = Pattern.blink(500)
print('RGB: Blink RED for 5 seconds')
leds.update(Leds.rgb_pattern(Color.RED))
time.sleep(5)
print('RGB: Blink GREEN for 5 seconds')
leds.update(Leds.rgb_pattern(Color.GREEN))
time.sleep(5)
print('RGB: Blink BLUE for 5 seconds')
leds.update(Leds.rgb_pattern(Color.BLUE))
time.sleep(5)
print('Set breathe pattern: period=1000ms (1Hz)')
leds.pattern = Pattern.breathe(1000)
print('RGB: Breathe RED for 5 seconds')
leds.update(Leds.rgb_pattern(Color.RED))
time.sleep(5)
print('RGB: Breathe GREEN for 5 seconds')
leds.update(Leds.rgb_pattern(Color.GREEN))
time.sleep(5)
print('RGB: Breathe BLUE for 5 seconds')
leds.update(Leds.rgb_pattern(Color.BLUE))
time.sleep(5)
print('RGB: Increase RED brightness for 3.2 seconds')
for i in range(32):
leds.update(Leds.rgb_on((8 * i, 0, 0)))
time.sleep(0.1)
print('RGB: Decrease RED brightness for 3.2 seconds')
for i in reversed(range(32)):
leds.update(Leds.rgb_on((8 * i, 0, 0)))
time.sleep(0.1)
print('RGB: Blend between GREEN and BLUE for 3.2 seconds')
for i in range(32):
color = Color.blend(Color.BLUE, Color.GREEN, i / 32)
leds.update(Leds.rgb_on(color))
time.sleep(0.1)
print('RGB: Off for 1 second')
leds.update(Leds.rgb_off())
time.sleep(1)
print('Privacy: On for 2 seconds')
with PrivacyLed(leds):
time.sleep(2)
print('RGB: Solid GREEN for 2 seconds')
with RgbLeds(leds, Leds.rgb_on(Color.GREEN)):
time.sleep(2)
print('Custom configuration for 5 seconds')
leds.update({
1: Leds.Channel(Leds.Channel.PATTERN, 128), # Red channel
2: Leds.Channel(Leds.Channel.OFF, 0), # Green channel
3: Leds.Channel(Leds.Channel.ON, 128), # Blue channel
4: Leds.Channel(Leds.Channel.PATTERN, 64), # Privacy channel
})
time.sleep(5)
print('Done')
def main():
def face_data(face):
x, y, width, height = face.bounding_box
x_mean = int(x + width/2)
angle = atan2(x_mean - x_center,focal_length)
distance = 0
if width > 0:
distance = focal_length * real_face_width_inch / width
return angle, distance
parser = argparse.ArgumentParser()
parser.add_argument(
'--num_frames',
'-n',
type=int,
dest='num_frames',
default=-1,
help='Sets the number of frames to run for, otherwise runs forever.')
args = parser.parse_args()
focal_length = 1320 # focal length in pixels for 1640 x 1232 resolution - found by calibration
camera_resolution = (1640, 1232)
x_center = int(camera_resolution[0] / 2)
real_face_width_inch = 11 # width/height of bounding box of human face in inches
min_angle = atan2(-x_center,focal_length) # min angle where face can be detected (leftmost area) in radians
max_angle = atan2(x_center,focal_length)
face_detected_on_prev_frame = False
previous_angle = 0
LOAD_SOUND = ('G5e', 'f5e', 'd5e', 'A5e', 'g5e', 'E5e', 'g5e', 'C6e')
BUZZER_GPIO = 22
with PiCamera(sensor_mode=4, resolution=(1640, 1232), framerate=30) as camera,\
Leds() as leds:
leds.update(Leds.privacy_on())
myCorrectionMin=0.2
myCorrectionMax=0.2
maxPW=(2.0+myCorrectionMax)/1000
minPW=(1.0-myCorrectionMin)/1000
camera.start_preview()
tone_player = TonePlayer(BUZZER_GPIO, bpm=70)
tone_player.play(*LOAD_SOUND)
#servo = AngularServo(PIN_A, min_pulse_width=minPW, max_pulse_width=maxPW)
servo = AngularServo(PIN_A, max_pulse_width = maxPW)
#servo = AngularServo(PIN_A)
annotator = Annotator(camera, dimensions=(320, 240))
scale_x = 320 / 1640
scale_y = 240 / 1232
def transform(bounding_box):
x, y, width, height = bounding_box
return (scale_x * x, scale_y * y, scale_x * (x + width),
scale_y * (y + height))
with CameraInference(face_detection.model()) as inference:
for i, result in enumerate(inference.run()):
if i == args.num_frames:
break
faces = face_detection.get_faces(result)
annotator.clear()
for face in faces:
annotator.bounding_box(transform(face.bounding_box), fill=0)
annotator.update()
print('Iteration #%d: num_faces=%d' % (i, len(faces)))
if faces:
previous_angle = 0
leds.update(Leds.rgb_on(Color.BLUE))
if face_detected_on_prev_frame:
angle, distance = face_data(face)
#if angle < min_angle:
# angle = min_angle
#if angle > max_angle:
# angle = max_angle
servo.angle = angle*(-100)
previous_angle = angle*(-100)
print('Angle:' + str(angle))
sleep(.05)
face_detected_on_prev_frame = True
else:
leds.update(Leds.rgb_on(Color.RED))
if not face_detected_on_prev_frame:
servo.angle = previous_angle
sleep(.05)
pass
face_detected_on_prev_frame = False
camera.stop_preview()
def main():
"""Face detection camera inference example."""
parser = argparse.ArgumentParser()
parser.add_argument(
'--num_frames',
'-n',
type=int,
dest='num_frames',
default=None,
help='Sets the number of frames to run for, otherwise runs forever.')
args = parser.parse_args()
# Forced sensor mode, 1640x1232, full FoV. See:
# https://picamera.readthedocs.io/en/release-1.13/fov.html#sensor-modes
# This is the resolution inference run on.
with PiCamera(sensor_mode=4, resolution=(1640, 1232), framerate=30) as camera,\
Leds() as leds:
leds.update(Leds.privacy_on())
leds.update(Leds.rgb_on(Color.BLUE))
camera.start_preview()
tone_player = TonePlayer(BUZZER_GPIO, bpm=70)
#tone_player.play(*LOAD_SOUND)
# Annotator renders in software so use a smaller size and scale results
# for increased performace.
annotator = Annotator(camera, dimensions=(320, 240))
scale_x = 320 / 1640
scale_y = 240 / 1232
# Incoming boxes are of the form (x, y, width, height). Scale and
# transform to the form (x1, y1, x2, y2).
def transform(bounding_box):
x, y, width, height = bounding_box
return (scale_x * x, scale_y * y, scale_x * (x + width),
scale_y * (y + height))
with CameraInference(face_detection.model()) as inference:
for result in inference.run(args.num_frames):
faces = face_detection.get_faces(result)
annotator.clear()
for face in faces:
annotator.bounding_box(transform(face.bounding_box),
fill=0)
x, y, width, height = face.bounding_box
annotator.update()
if len(faces) >= 1:
print(
'#%05d (%5.2f fps): num_faces=%d, avg_joy_score=%.2f, x=%.2f, y=%.2f, width=%.2f, height=%.2f'
% (inference.count, inference.rate, len(faces),
avg_joy_score(faces), x, y, width, height))
distance = focal_length * real_face_width_inches / width
if x > 0:
alpha = x / float(1200)
brightness = 254 - (distance * 2)
else:
alpha = .5
brightness = 254
try:
leds.update(
Leds.rgb_on(
Color.blend(Color.BLUE, Color.RED, alpha)))
b.set_light(2, 'bri', brightness)
except:
pass
camera.annotate_text = '%d inches' % distance
else:
pass
camera.stop_preview()
def main():
with Leds() as leds:
print('RGB: Solid RED for 1 second')
leds.update(Leds.rgb_on(Color.RED))
time.sleep(1)
print('RGB: Solid GREEN for 1 second')
leds.update(Leds.rgb_on(Color.GREEN))
time.sleep(1)
print('RGB: Solid YELLOW for 1 second')
leds.update(Leds.rgb_on(Color.YELLOW))
time.sleep(1)
print('RGB: Solid BLUE for 1 second')
leds.update(Leds.rgb_on(Color.BLUE))
time.sleep(1)
print('RGB: Solid PURPLE for 1 second')
leds.update(Leds.rgb_on(Color.PURPLE))
time.sleep(1)
print('RGB: Solid CYAN for 1 second')
leds.update(Leds.rgb_on(Color.CYAN))
time.sleep(1)
print('RGB: Solid WHITE for 1 second')
leds.update(Leds.rgb_on(Color.WHITE))
time.sleep(1)
print('RGB: Off for 1 second')
leds.update(Leds.rgb_off())
time.sleep(1)
for _ in range(3):
print('Privacy: On (brightness=default)')
leds.update(Leds.privacy_on())
time.sleep(1)
print('Privacy: Off')
leds.update(Leds.privacy_off())
time.sleep(1)
for _ in range(3):
print('Privacy: On (brightness=5)')
leds.update(Leds.privacy_on(5))
time.sleep(1)
print('Privacy: Off')
leds.update(Leds.privacy_off())
time.sleep(1)
print('Set blink pattern: period=500ms (2Hz)')
leds.pattern = Pattern.blink(500)
print('RGB: Blink RED for 5 seconds')
leds.update(Leds.rgb_pattern(Color.RED))
time.sleep(5)
print('RGB: Blink GREEN for 5 seconds')
leds.update(Leds.rgb_pattern(Color.GREEN))
time.sleep(5)
print('RGB: Blink BLUE for 5 seconds')
leds.update(Leds.rgb_pattern(Color.BLUE))
time.sleep(5)
print('Set breathe pattern: period=1000ms (1Hz)')
leds.pattern = Pattern.breathe(1000)
print('RGB: Breathe RED for 5 seconds')
leds.update(Leds.rgb_pattern(Color.RED))
time.sleep(5)
print('RGB: Breathe GREEN for 5 seconds')
leds.update(Leds.rgb_pattern(Color.GREEN))
time.sleep(5)
print('RGB: Breathe BLUE for 5 seconds')
leds.update(Leds.rgb_pattern(Color.BLUE))
time.sleep(5)
print('RGB: Increase RED brightness for 3.2 seconds')
for i in range(32):
leds.update(Leds.rgb_on((8 * i, 0, 0)))
time.sleep(0.1)
print('RGB: Decrease RED brightness for 3.2 seconds')
for i in reversed(range(32)):
leds.update(Leds.rgb_on((8 * i, 0, 0)))
time.sleep(0.1)
print('RGB: Blend between GREEN and BLUE for 3.2 seconds')
for i in range(32):
color = Color.blend(Color.BLUE, Color.GREEN, i / 32)
leds.update(Leds.rgb_on(color))
time.sleep(0.1)
print('RGB: Off for 1 second')
leds.update(Leds.rgb_off())
time.sleep(1)
print('Privacy: On for 2 seconds')
with PrivacyLed(leds):
time.sleep(2)
print('RGB: Solid GREEN for 2 seconds')
with RgbLeds(leds, Leds.rgb_on(Color.GREEN)):
time.sleep(2)
print('Custom configuration for 5 seconds')
leds.update({
1: Leds.Channel(Leds.Channel.PATTERN, 128), # Red channel
2: Leds.Channel(Leds.Channel.OFF, 0), # Green channel
3: Leds.Channel(Leds.Channel.ON, 128), # Blue channel
4: Leds.Channel(Leds.Channel.PATTERN, 64), # Privacy channel
})
time.sleep(5)
print('Done')
