from LightSkin.Algorithm.ForwardModels.SimpleProportionalForwardModel import SimpleProportionalForwardModel, \
SimpleIdealProportionalCalibration
from LightSkin.Algorithm.Reconstruction.SimpleBackProjection import SimpleBackProjection
# Source: https://code.activestate.com/recipes/410687-transposing-a-list-of-lists-with-different-lengths/
def transposed(lists):
if not lists:
return []
return list(map(lambda *row: list(row), *lists))
# Main Code
ls = LightSkin()
# LOAD Sensor and LED coordinates from CSV
with open('sensors.csv', 'r') as csvfile:
read = csv.reader(csvfile)
for r in read:
s = (float(r[0]), float(r[1]))
ls.sensors.append(s)
#
with open('leds.csv', 'r') as csvfile:
read = csv.reader(csvfile)
for r in read:
s = (float(r[0]), float(r[1]))
ls.LEDs.append(s)
ports = list(serial.tools.list_ports.comports())
port = None
for p in ports:
print('Checking port %s / %s' % (p[0], p[1]))
if "uino" in p[1].lower(): # Find "ardUINO" and "genUINO" boards
port = p
break
if port is None:
print('Could not find a connected Arduino')
exit(0)
print('Using the Arduino connected on:')
print(port[0] + ' / ' + port[1])
ls = LightSkin()
# LOAD Sensor and LED coordinates from CSV
with open('sensors.csv', 'r') as csvfile:
read = csv.reader(csvfile)
for r in read:
s = (float(r[0]), float(r[1]))
ls.sensors.append(s)
#
with open('leds.csv', 'r') as csvfile:
read = csv.reader(csvfile)
for r in read:
s = (float(r[0]), float(r[1]))
ls.LEDs.append(s)
from LightSkin.LightSkin import LightSkin, ValueMap
from LightSkin.GUI import Views
from LightSkin.Algorithm.ForwardModels.SimpleProportionalForwardModel import SimpleProportionalForwardModel
# Source: https://code.activestate.com/recipes/410687-transposing-a-list-of-lists-with-different-lengths/
def transposed(lists):
if not lists:
return []
return list(map(lambda *row: list(row), *lists))
# Main Code
ls = LightSkin()
# LOAD Sensor and LED coordinates from CSV
with open('CSV_Files/sensors.csv', 'r') as csvfile:
read = csv.reader(csvfile)
for r in read:
s = (float(r[0]), float(r[1]))
ls.sensors.append(s)
#
with open('CSV_Files/leds.csv', 'r') as csvfile:
read = csv.reader(csvfile)
for r in read:
s = (float(r[0]), float(r[1]))
ls.LEDs.append(s)