I am trying to speed up my script. It basically reads a pcap file with Velodyne's Lidar HDL-32 information and allows me to get X, Y, Z, and Intensity values. I have profiled my script using python -m cProfile ./spTestPcapToLas.py
and it is spending the most amount of time in my readDataPacket()
function calls. In a small test (80 MB file) the unpacking portion takes around 56% of the execution time.
I call the readDataPacket
function like this (chunk
refers to the pcap file):
packets = []
for packet in chunk:
memoryView = memoryview(packet.raw())
udpDestinationPort = unpack('!h', memoryView[36:38].tobytes())[0]
if udpDestinationPort == 2368:
packets += readDataPacket(memoryView)
The readDataPacket()
function itself is defined like this:
def readDataPacket(memoryView):
firingData = memoryView[42:]
firingDataStartingByte = 0
laserBlock = []
for i in xrange(firingBlocks):
rotational = unpack('<H', firingData[firingDataStartingByte+2:firingDataStartingByte+4])[0]
startingByte = firingDataStartingByte+4
laser = []
for j in xrange(lasers):
distanceInformation = unpack('<H', firingData[startingByte:(startingByte + 2)])[0] * 0.002
intensity = unpack('<B', firingData[(startingByte + 2)])[0]
laser.append([distanceInformation, intensity])
startingByte += 3
firingDataStartingByte += 100
laserBlock.append([rotational, laser])
return laserBlock
Any ideas on how I can speed up the process? By the way, I am using numpy for the X, Y, Z, Intensity calculations.
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