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						- import cv2
 - import numpy as np
 - import struct
 - import time
 - import sys
 - 
 - log_file = sys.argv[1] if len(sys.argv) > 1 else 'lepton_log.bin'
 - output_folder = 'videos'
 - 
 - fourcc = cv2.VideoWriter_fourcc(*'XVID')
 - leptonVideoWriter = cv2.VideoWriter(output_folder+'/lepton.avi', fourcc, 10.0, (160, 120), False)
 - gridEyeVideoWriter = cv2.VideoWriter(output_folder+'/gridEye.avi', fourcc, 10.0, (320, 320), False)
 - #cv2.resizeWindow('image', 320, 320)
 - with open(log_file, 'rb') as f:
 -     while 1:
 -         leptonData = f.read(38400)
 -         if len(leptonData) != 38400:
 -             break
 -         leptonImg = np.array(struct.unpack("<19200H", leptonData), dtype=np.uint16).reshape((120, 160))
 -         b = leptonImg.copy()
 -         for x in range(160):
 -             for y in range(120):
 -                 b[y][x] = ((leptonImg[y][x]&0xff)<<8) + (leptonImg[y][x]>>8)
 -         b = cv2.normalize(b, dst=None, alpha=0, beta=255, norm_type=cv2.NORM_MINMAX)
 -         b = b.astype(np.uint8)
 -         cv2.imshow("image", cv2.resize(b, (427, 320)))
 -         leptonVideoWriter.write(b)
 -         
 -         gridEyeData = f.read(4*64)
 -         gridEyeImg = np.frombuffer(gridEyeData, dtype=np.uint8).reshape((32, 8))
 -         reshapeImg = np.zeros((16,16), dtype=np.uint8)
 -         reshapeImg[0:8, 0:8] = gridEyeImg[0:8]
 -         reshapeImg[0:8, 8:16] = gridEyeImg[8:16]
 -         reshapeImg[8:16, 0:8] = gridEyeImg[16:24]
 -         reshapeImg[8:16, 8:16] = gridEyeImg[24:32]
 -         reshapeImg = cv2.normalize(reshapeImg, dst=None, alpha=0, beta=255, norm_type=cv2.NORM_MINMAX)
 -         cv2.imshow("gridEyeImg", cv2.resize(reshapeImg, (320, 320)))
 -         gridEyeVideoWriter.write(cv2.resize(reshapeImg, (320, 320)))
 -         key = cv2.waitKey(10)
 -         if key == ord('q'):
 -             break
 - 
 - leptonVideoWriter.release()
 - gridEyeVideoWriter.release()
 - cv2.waitKey(0)
 - cv2.destroyAllWindows()
 
 
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