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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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