deep-crop/thermal-image-extractor.py

import cv2
# import  flirimageextractor
# flir = flirimageextractor.FlirImageExtractor()
# flir.process_image('source_images_full/20200621_125936_R.jpg',RGB=True)
# c = flir.get_metadata('source_images_full/20200621_125936_R.jpg')
# img = flir.extract_embedded_image()

import flirimageextractor
from matplotlib import cm
import numpy as np
# flir = flirimageextractor.FlirImageExtractor()
# flir.process_image('source_images_full/20200621_125936_R.jpg')
# flir.save_images()
# flir.plot()



flir = flirimageextractor.FlirImageExtractor()
flir.process_image('source_images_full/20200621_125936_R.jpg')
# img = flir.save_images() #min=0,max=64,
# print(dir(img))
# print(img)
thermal_img_np = flir.thermal_image_np
h,w = thermal_img_np.shape
# print(flir.flir_img_bytes())

print(thermal_img_np)
print(type(thermal_img_np[0][0]))
print(h)
print(w)

# cv2.imdecode(thermal_img_np)

multiplied_image = cv2.multiply(thermal_img_np, 1000)

cv2.imwrite('color_img.png', multiplied_image.astype(np.uint16))



# img.astype('uint8')

# image = cv2.imdecode(thermal_img_np,4)
# print('Image Dimensions :', image.shape)