def stream_data(ser, ref, maxVal):
while True:
readingList = []
count = 0
while (count < maxVal):
try:
(l, r, _) = ser.readline().strip('\x00\r\n').strip().split(',')
print l, r
readingList.append((int(l), int(r)))
except:
continue
count += 1
#readingList = zip(readingList, [0] * len(readingList))
scaled = factory.scale([factory.retSimilarity(readingList, ref, 1), \
factory.retSimilarity(readingList, ref, 2), \
factory.retSimilarity(readingList, ref, 3)])
print factory.classify(scaled)
yield 'data: %s\n\n' % factory.classify(scaled)
ser.flushInput()
def stream_data(ser, ref, maxVal):
while True:
readingList = []
count = 0
while (count < maxVal):
try:
(l, r, _) = ser.readline().strip('\x00\r\n').strip().split(',')
print l, r
readingList.append((int(l), int(r)))
except:
continue
count += 1
#readingList = zip(readingList, [0] * len(readingList))
scaled = factory.scale([factory.retSimilarity(readingList, ref, 1), \
factory.retSimilarity(readingList, ref, 2), \
factory.retSimilarity(readingList, ref, 3)])
print factory.classify(scaled)
yield 'data: %s\n\n' % factory.classify(scaled)
ser.flushInput()
while True:
readingList = []
count = 0
while (count < a.maxVal):
try:
(l, r, _) = ser.readline().strip('\x00\r\n').strip().split(',')
readingList.append((int(l), int(r)))
except:
continue
count += 1
scaled = factory.scale([factory.retSimilarity(readingList, ref, 1), \
factory.retSimilarity(readingList, ref, 2), \
factory.retSimilarity(readingList, ref, 3), \
factory.retSimilarity(readingList, ref, 4)])
direction = factory.classify(scaled)
print direction
# Write to output serial port which provides input to corresponding wheel.
if direction == "UP" or direction == "STRAIGHT":
ser2.write(b'1')
elif "RIGHT" in direction:
ser2.write(b'2')
elif "LEFT" in direction:
ser2.write(b'3')
elif direction == "BLINK" or direction == "DOWN":
ser2.write(b'4')
while True:
clock.tick(10)
readingList = []
count = 0
while (count < int(a.maxVal)):
try:
arr = ser.readline().strip('\x00\r\n').strip().split(',')
readingList.append((float(arr[0]), float(arr[1])))
except:
continue
count = count + 1
# Calculate similarity, scale and classify.
scaled = factory.scale([factory.retSimilarity(readingList, ref, 1), \
factory.retSimilarity(readingList, ref, 2), \
factory.retSimilarity(readingList, ref, 3), \
factory.retSimilarity(readingList, ref, 4)])
direction = factory.classify(scaled)
# Decrease or increase the vertical/horizontal position based on the
# direction of the eyes.
if direction == "STRAIGHT":
pass
elif direction == "UP" and dirs != 0:
dirs = 2
elif direction == "RIGHT" and dirs != 3:
dirs = 1
elif direction == "DOWN" and dirs != 2:
dirs = 0
elif direction == "LEFT" and dirs != 1:
dirs = 3